Enviar búsqueda
Cargar
Personalizing Threshold Values On Behavior Detection With Collaborative Filtering
•
Descargar como PPT, PDF
•
0 recomendaciones
•
378 vistas
W
wacerone
Seguir
Tecnología
Empresariales
Vista de diapositivas
Denunciar
Compartir
Vista de diapositivas
Denunciar
Compartir
1 de 26
Descargar ahora
Recomendados
Icdec2020_presentation_slides_13
Icdec2020_presentation_slides_13
Icdec2020_presentation_slides_13
ICDEcCnferenece
Conciousness
Conciousness
Ericka Shekell
Conciousness
Conciousness
Ammar Faruki
This guide is an innovative tool for assessing compliance with environmental, health, safety, transportation, construction and training legislation for over 30 jurisdictions worldwide. The protocol includes: Applicability tables Pre-audit preparation Rulebooks Scoresheets And more
International Environmental Health and Safety Protocol Sample
International Environmental Health and Safety Protocol Sample
Specialty Technical Publishers
Learn the essential rules for surviving as a set technician on a film production. This presentation features photos from the Duke City Shootout
Film Etiquette & Protocol
Film Etiquette & Protocol
John Grace
TLV History
TLV History
DIv CHAS
Overview of the ACGIH Threshold Limit Values for heat stress. Includes some worked examples
TLVs for heat stress
TLVs for heat stress
Mike Slater
Loss of consiousness First aid Syncope Lipotymy Shock Intoxication Epilepsy Head trauma Heatstroke
Loss of Consciousness
Loss of Consciousness
Benedetto Gesmundo
Recomendados
Icdec2020_presentation_slides_13
Icdec2020_presentation_slides_13
Icdec2020_presentation_slides_13
ICDEcCnferenece
Conciousness
Conciousness
Ericka Shekell
Conciousness
Conciousness
Ammar Faruki
This guide is an innovative tool for assessing compliance with environmental, health, safety, transportation, construction and training legislation for over 30 jurisdictions worldwide. The protocol includes: Applicability tables Pre-audit preparation Rulebooks Scoresheets And more
International Environmental Health and Safety Protocol Sample
International Environmental Health and Safety Protocol Sample
Specialty Technical Publishers
Learn the essential rules for surviving as a set technician on a film production. This presentation features photos from the Duke City Shootout
Film Etiquette & Protocol
Film Etiquette & Protocol
John Grace
TLV History
TLV History
DIv CHAS
Overview of the ACGIH Threshold Limit Values for heat stress. Includes some worked examples
TLVs for heat stress
TLVs for heat stress
Mike Slater
Loss of consiousness First aid Syncope Lipotymy Shock Intoxication Epilepsy Head trauma Heatstroke
Loss of Consciousness
Loss of Consciousness
Benedetto Gesmundo
Data mining has become one of the most popular and new technology that it has gained a lot of attention in the recent times and with the increase in the popularity and the usage there comes a lot of issues/problems with the usage one of it Outlier detection and maintaining the datasets without the expected patterns. To identify the difference between Outlier and normal behavior we use key assumption techniques. We Provide the reverse nearest neighbor technique. There is a connection between the hubs and antihubs, outliers and the present unsupervised detection methods. With the KNN method it will be possible to identify and influence the outlier and antihub methods on real life datasets and synthetic datasets. So, From this we provide the insight of the Reverse neighbor count on unsupervised outlier detection. V. V. R. Manoj | V. Aditya Rama Narayana | A. Bhargavi | A. Lakshmi Prasanna | Md. Aakhila Bhanu"Outlier Detection using Reverse Neares Neighbor for Unsupervised Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11406.pdf http://www.ijtsrd.com/computer-science/data-miining/11406/outlier-detection-using-reverse-neares-neighbor-for-unsupervised-data/v-v-r-manoj
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data
ijtsrd
https://irjet.net/archives/V4/i1/IRJET-V4I1242.pdf
Unsupervised Distance Based Detection of Outliers by using Anti-hubs
Unsupervised Distance Based Detection of Outliers by using Anti-hubs
IRJET Journal
behavioural_term_paper
behavioural_term_paper
Sebastian Flennerhag
The main objective of this study was to better understand the underlying behavioral and cognitive interactions of autism. We used a bottom-up approach to analyze the patterns of behavior and cognitive development among autistic individuals to define probable interactions between the two. More specifically, we used the Social Communication Questionnaire to quantify the behavioral symptoms and the Simon, First-Order False Belief, and Global/Local tasks to quantify the cognitive abilities of autistic children in the age range of 5 and 13 years old (n = 20; 17 males and 3 females). Results showed a positive correlation between communication problems and exaggerated inhibitory processes (reflected in less interference on the Simon task). Results also showed a positive correlation between more social interaction problems and a better understanding of first-order mental states. Finally, more restricted and repetitive behaviors were related to an improved performance on global as opposed to local processing tasks. These interaction findings could eventually lead to cognitive, theory-based, intervention methods to treat the behavioral symptoms found in autistic individuals.
Theories of Autism
Theories of Autism
amandalegge
Dr Kanav Kahols presentation at AMIA Workshop on virtual environment training.
Virtual Worlds And Real World
Virtual Worlds And Real World
KanavKahol
Therapy ChatBot is a bot that aims to help people get rid of depression and anxiety issues by having conversations with the patient and asking them psychological and emotion related questions to let them share their thoughts and feelings. It also provides suggestions to nearby therapists and psychologist. The research is done on this chatbot to analyze the efficacy of the Chatbot in dealing with the problems of individuals.
Therapy chatbot-a-relief-from-mental-stress-and-problems
Therapy chatbot-a-relief-from-mental-stress-and-problems
PranavKapoor31
Identification of person using multiple biometric is very common approach used in existing user validation of systems. Most of multibiometric system depends on fusion schemes, as much of the fusion techniques have shown promising results in literature, due to the fact of combining multiple biometric modalities with suitable fusion schemes. However, similar type of practices are found in ensemble of classifiers, which increases the classification accuracy while combining different types of classifiers. In this paper, we have evaluated comparative study of traditional fusion methods like feature level and score level fusion with the well-known ensemble methods such as bagging and boosting. Precisely, for our frame work experimentations, we have fused face and palmprint modalities and we have employed probability model - Naive Bayes (NB), neural network model - Multi Layer Perceptron (MLP), supervised machine learning algorithm - Support Vector Machine (SVM) classifiers for our experimentation. Nevertheless, machine learning ensemble approaches namely, Boosting and Bagging are statistically well recognized. From experimental results, in biometric fusion the traditional method, score level fusion is highly recommended strategy than ensemble learning techniques.
Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A ...
Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A ...
CSCJournals
I will present the CrowdTruth (http://crowdtruth.org/) approach to performing relation extraction from medical data. CrowdTruth exploits inter-annotator disagreement as a useful signal, allowing us to evaluate data quality, such as ambiguity and vagueness at the sentence level, worker quality, and the quality of the target semantics. I will introduce a workflow for generating gold standard annotations for medical relation extraction through a series of crowdsourcing tasks. Then I will present an evaluation of the crowd data by comparing it with the current gold standard in medical relation extraction. The evaluation is performed by training a relation extraction classifier with both datasets, and comparing the results for F1 measure in a cross-validation experiment.
CrowdTruth for medical relation extraction - WAI talk
CrowdTruth for medical relation extraction - WAI talk
Anca Dumitrache
Chapter 15 Social Research
Chapter 15 Social Research
arpsychology
Nlp 1 101
Nlp 1 101
Tanuj Poddar
Concepts and terms
Concepts and terms
lyne Samontina
A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
Panos Alexopoulos
Slides of my PhD Thesis entitled "Information Retrieval Models for Recommender Systems". URL: https://www.dc.fi.udc.es/~dvalcarce/thesis.pdf
Information Retrieval Models for Recommender Systems - PhD slides
Information Retrieval Models for Recommender Systems - PhD slides
Daniel Valcarce
090302 Identifying Rfid Embedded Objects In Pervasive Healthcare Applications
090302 Identifying Rfid Embedded Objects In Pervasive Healthcare Applications
wacerone
090223 Pervasive Behavior Tracking For Cognitive Assistance
090223 Pervasive Behavior Tracking For Cognitive Assistance
wacerone
Just In Time Learning Implementing Principles Of Multimodal Processing And Le...
Just In Time Learning Implementing Principles Of Multimodal Processing And Le...
wacerone
reading
Smart Signs Showing the way in Smart Surroundings
Smart Signs Showing the way in Smart Surroundings
wacerone
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
wacerone
Indoor Outdoor
Indoor Outdoor
wacerone
improvement RFID
improvement RFID
improvement RFID
wacerone
Reliability Improvement For An Rfid Based Psychiatric Patient Localization
Reliability Improvement For An Rfid Based Psychiatric Patient Localization
wacerone
全人關懷投影片
全人關懷投影片
wacerone
Más contenido relacionado
Similar a Personalizing Threshold Values On Behavior Detection With Collaborative Filtering
Data mining has become one of the most popular and new technology that it has gained a lot of attention in the recent times and with the increase in the popularity and the usage there comes a lot of issues/problems with the usage one of it Outlier detection and maintaining the datasets without the expected patterns. To identify the difference between Outlier and normal behavior we use key assumption techniques. We Provide the reverse nearest neighbor technique. There is a connection between the hubs and antihubs, outliers and the present unsupervised detection methods. With the KNN method it will be possible to identify and influence the outlier and antihub methods on real life datasets and synthetic datasets. So, From this we provide the insight of the Reverse neighbor count on unsupervised outlier detection. V. V. R. Manoj | V. Aditya Rama Narayana | A. Bhargavi | A. Lakshmi Prasanna | Md. Aakhila Bhanu"Outlier Detection using Reverse Neares Neighbor for Unsupervised Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11406.pdf http://www.ijtsrd.com/computer-science/data-miining/11406/outlier-detection-using-reverse-neares-neighbor-for-unsupervised-data/v-v-r-manoj
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data
ijtsrd
https://irjet.net/archives/V4/i1/IRJET-V4I1242.pdf
Unsupervised Distance Based Detection of Outliers by using Anti-hubs
Unsupervised Distance Based Detection of Outliers by using Anti-hubs
IRJET Journal
behavioural_term_paper
behavioural_term_paper
Sebastian Flennerhag
The main objective of this study was to better understand the underlying behavioral and cognitive interactions of autism. We used a bottom-up approach to analyze the patterns of behavior and cognitive development among autistic individuals to define probable interactions between the two. More specifically, we used the Social Communication Questionnaire to quantify the behavioral symptoms and the Simon, First-Order False Belief, and Global/Local tasks to quantify the cognitive abilities of autistic children in the age range of 5 and 13 years old (n = 20; 17 males and 3 females). Results showed a positive correlation between communication problems and exaggerated inhibitory processes (reflected in less interference on the Simon task). Results also showed a positive correlation between more social interaction problems and a better understanding of first-order mental states. Finally, more restricted and repetitive behaviors were related to an improved performance on global as opposed to local processing tasks. These interaction findings could eventually lead to cognitive, theory-based, intervention methods to treat the behavioral symptoms found in autistic individuals.
Theories of Autism
Theories of Autism
amandalegge
Dr Kanav Kahols presentation at AMIA Workshop on virtual environment training.
Virtual Worlds And Real World
Virtual Worlds And Real World
KanavKahol
Therapy ChatBot is a bot that aims to help people get rid of depression and anxiety issues by having conversations with the patient and asking them psychological and emotion related questions to let them share their thoughts and feelings. It also provides suggestions to nearby therapists and psychologist. The research is done on this chatbot to analyze the efficacy of the Chatbot in dealing with the problems of individuals.
Therapy chatbot-a-relief-from-mental-stress-and-problems
Therapy chatbot-a-relief-from-mental-stress-and-problems
PranavKapoor31
Identification of person using multiple biometric is very common approach used in existing user validation of systems. Most of multibiometric system depends on fusion schemes, as much of the fusion techniques have shown promising results in literature, due to the fact of combining multiple biometric modalities with suitable fusion schemes. However, similar type of practices are found in ensemble of classifiers, which increases the classification accuracy while combining different types of classifiers. In this paper, we have evaluated comparative study of traditional fusion methods like feature level and score level fusion with the well-known ensemble methods such as bagging and boosting. Precisely, for our frame work experimentations, we have fused face and palmprint modalities and we have employed probability model - Naive Bayes (NB), neural network model - Multi Layer Perceptron (MLP), supervised machine learning algorithm - Support Vector Machine (SVM) classifiers for our experimentation. Nevertheless, machine learning ensemble approaches namely, Boosting and Bagging are statistically well recognized. From experimental results, in biometric fusion the traditional method, score level fusion is highly recommended strategy than ensemble learning techniques.
Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A ...
Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A ...
CSCJournals
I will present the CrowdTruth (http://crowdtruth.org/) approach to performing relation extraction from medical data. CrowdTruth exploits inter-annotator disagreement as a useful signal, allowing us to evaluate data quality, such as ambiguity and vagueness at the sentence level, worker quality, and the quality of the target semantics. I will introduce a workflow for generating gold standard annotations for medical relation extraction through a series of crowdsourcing tasks. Then I will present an evaluation of the crowd data by comparing it with the current gold standard in medical relation extraction. The evaluation is performed by training a relation extraction classifier with both datasets, and comparing the results for F1 measure in a cross-validation experiment.
CrowdTruth for medical relation extraction - WAI talk
CrowdTruth for medical relation extraction - WAI talk
Anca Dumitrache
Chapter 15 Social Research
Chapter 15 Social Research
arpsychology
Nlp 1 101
Nlp 1 101
Tanuj Poddar
Concepts and terms
Concepts and terms
lyne Samontina
A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
Panos Alexopoulos
Slides of my PhD Thesis entitled "Information Retrieval Models for Recommender Systems". URL: https://www.dc.fi.udc.es/~dvalcarce/thesis.pdf
Information Retrieval Models for Recommender Systems - PhD slides
Information Retrieval Models for Recommender Systems - PhD slides
Daniel Valcarce
Similar a Personalizing Threshold Values On Behavior Detection With Collaborative Filtering
(13)
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data
Unsupervised Distance Based Detection of Outliers by using Anti-hubs
Unsupervised Distance Based Detection of Outliers by using Anti-hubs
behavioural_term_paper
behavioural_term_paper
Theories of Autism
Theories of Autism
Virtual Worlds And Real World
Virtual Worlds And Real World
Therapy chatbot-a-relief-from-mental-stress-and-problems
Therapy chatbot-a-relief-from-mental-stress-and-problems
Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A ...
Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A ...
CrowdTruth for medical relation extraction - WAI talk
CrowdTruth for medical relation extraction - WAI talk
Chapter 15 Social Research
Chapter 15 Social Research
Nlp 1 101
Nlp 1 101
Concepts and terms
Concepts and terms
A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
Information Retrieval Models for Recommender Systems - PhD slides
Information Retrieval Models for Recommender Systems - PhD slides
Más de wacerone
090302 Identifying Rfid Embedded Objects In Pervasive Healthcare Applications
090302 Identifying Rfid Embedded Objects In Pervasive Healthcare Applications
wacerone
090223 Pervasive Behavior Tracking For Cognitive Assistance
090223 Pervasive Behavior Tracking For Cognitive Assistance
wacerone
Just In Time Learning Implementing Principles Of Multimodal Processing And Le...
Just In Time Learning Implementing Principles Of Multimodal Processing And Le...
wacerone
reading
Smart Signs Showing the way in Smart Surroundings
Smart Signs Showing the way in Smart Surroundings
wacerone
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
wacerone
Indoor Outdoor
Indoor Outdoor
wacerone
improvement RFID
improvement RFID
improvement RFID
wacerone
Reliability Improvement For An Rfid Based Psychiatric Patient Localization
Reliability Improvement For An Rfid Based Psychiatric Patient Localization
wacerone
全人關懷投影片
全人關懷投影片
wacerone
wasn
wasn
wacerone
Assistive Intelligent Environments For Automatic Health Monitoring
Assistive Intelligent Environments For Automatic Health Monitoring
wacerone
Common Sense Based Joint Training of Human Activity Recognizers
Common Sense Based Joint Training of Human Activity Recognizers
wacerone
Non-use of provided assistive technology devices, a literature overview
080616
080616
wacerone
Comparing Video Prompting to Video Modeling for Teaching Daily Living Skills to Six Adults with Developmental Disabilities
080609
080609
wacerone
社會系統設計
社會系統設計
wacerone
社會系統設計
社會系統設計
wacerone
Summarize the What Is Web 2.0
Summarize the What Is Web 2.0
wacerone
071203
071203
wacerone
1203
1203
wacerone
07 11 12
07 11 12
wacerone
Más de wacerone
(20)
090302 Identifying Rfid Embedded Objects In Pervasive Healthcare Applications
090302 Identifying Rfid Embedded Objects In Pervasive Healthcare Applications
090223 Pervasive Behavior Tracking For Cognitive Assistance
090223 Pervasive Behavior Tracking For Cognitive Assistance
Just In Time Learning Implementing Principles Of Multimodal Processing And Le...
Just In Time Learning Implementing Principles Of Multimodal Processing And Le...
Smart Signs Showing the way in Smart Surroundings
Smart Signs Showing the way in Smart Surroundings
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
Indoor Outdoor
Indoor Outdoor
improvement RFID
improvement RFID
Reliability Improvement For An Rfid Based Psychiatric Patient Localization
Reliability Improvement For An Rfid Based Psychiatric Patient Localization
全人關懷投影片
全人關懷投影片
wasn
wasn
Assistive Intelligent Environments For Automatic Health Monitoring
Assistive Intelligent Environments For Automatic Health Monitoring
Common Sense Based Joint Training of Human Activity Recognizers
Common Sense Based Joint Training of Human Activity Recognizers
080616
080616
080609
080609
社會系統設計
社會系統設計
社會系統設計
社會系統設計
Summarize the What Is Web 2.0
Summarize the What Is Web 2.0
071203
071203
1203
1203
07 11 12
07 11 12
Último
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
AXA XL - Insurer Innovation Award 2024
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
The Digital Insurer
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
We present an architecture of embedding models, vector databases, LLMs, and narrow ML for tracking global news narratives across a variety of countries/languages/news sources. As an example, we explore the real-time application of this architecture for tracking the news narrative surrounding the death of Russian opposition leader Alexei Navalny coming from Russian, French, and English sources.
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Zilliz
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Último
(20)
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Personalizing Threshold Values On Behavior Detection With Collaborative Filtering
1.
Personalizing Threshold Values
on Behavior Detection with Collaborative Filtering
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
How to create
a behavioral pattern
12.
13.
14.
15.
16.
17.
18.
Effect of Extraction
Threshold on Recognition Accuracy of User Behavior
19.
20.
Dynamic threshold determination
with collaborative filtering
21.
Dynamic Determination of
Thresholds Suitable for Individuals
22.
Determination of Thresholds
with Estimate Values by Collaborative Filtering
23.
Related Work
24.
25.
26.
三種過濾方式之比較
Descargar ahora