Page 4 - Time Series Forecasting News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Time series forecasting. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Time Series Forecasting Today - Breaking & Trending Today

Meeranda, the Human-Like AI, Welcomes Recognized Machine Learning and AI Expert, Francesca Lazzeri, Ph.D., to its Advisory Board

/CNW/ - Meeranda, a privately held Artificial Intelligence (AI) solutions provider, serving both Small and Medium Businesses (SMBs) and Global Multinational. ....

Raji Wahidy , Francesca Lazzeri , Scuola Superiore Santanna , Luiss Guido Carli University , Advisory Board Of The European Union , Harvard University , Technology Innovation , Adjunct Professor At New York Columbia University , Postdoc Research Fellowship In Economics , Meeranda Inc , Massachusetts Institute Of Technology , Artificial Intelligence , Medium Businesses , Global Multinational Corporations , Senior Director , Data Science , Advisory Board , New Personalized Customer Experience , Adjunct Professor , New York Columbia University , Learning Governance , Time Series Forecasting , Chief Research Officer , European Union , Massachusetts Institute , Institutional Studies ,

"A time-series Wasserstein GAN method for state-of-charge estimation of" by Xinyu Gu, K. W. See et al.

Estimating the state-of-charge (SOC) of lithium-ion batteries is essential for maintaining secure and reliable battery operation while minimizing long-term service and maintenance expenses. In this work, we present a novel Time-Series Wasserstein Generative Adversarial Network (TS-WGAN) approach for SOC estimation of lithium-ion batteries, characterized by a well-designed data preprocessing process and a distinctive WGAN-GP architecture. In the data preprocessing stage, we employ the Pearson correlation coefficient (PCC) to identify strongly associated features and apply feature scaling techniques for data normalization. Moreover, we leverage polynomial regression to expand the original features and utilize principal component analysis (PCA) to reduce the computational load and retain essential information by projecting features into a lower-dimensional subspace. Within the WGAN-GP architecture, we originally devise a Transformer as the generator and a Convolution Neural Network (CNN) ....

Series Wasserstein Generative Adversarial Network , Convolution Neural Network , Convolutional Neural Network Cnn , Lithium Ion Battery , Tate Of Charge Soc , Time Series Forecasting , Asserstein Generative Adversarial Network With Gradient Penalty Wgan Gp ,

Transforming Supply Chain Management: The Impact of AI-Powered Demand Forecasting | Manufacturing & Logistics IT Magazine

Transforming Supply Chain Management: The Impact of AI-Powered Demand Forecasting | Manufacturing & Logistics IT Magazine
logisticsit.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from logisticsit.com Daily Mail and Mail on Sunday newspapers.

United States , Bidyut Sarkar , Rudrendu Kumar Paul , Rudrendu Kumar Paul Linkedin , Bidyut Sarkar Linkedin , Life Sciences Pharma Industry , University Of California , Case Studies Across Multiple Industries , Semiconductor Industry , Data Science Team At Walmart , Boston University , Supply Chain Management , Demand Forecasting , Navigate Global , Time Series Forecasting , Traditional Demand , Driven Demand , Case Studies Across Multiple , Chip Independence Act , Global Uncertainties , Kumar Paul , Data Science Team , Artificial Intelligence , Applied Machine Learning , Data Science , Advanced Analytics ,

"Uncovering Trends in Healthcare Cost and Prevalent Health Issues in Au" by Dinindu Koliya Harshanath Webadu Wedanage

As healthcare costs continue to rise, one way that private health insurance funds attempt to keep insurance fees affordable is by rationalising their cover programs. This study analysed the claims database from a mid-sized industry fund in order to uncover (1) current and future trends in healthcare costs amongst its members, (2) leading indicators of key conditions needing costly interventions, and (3) a performance evaluation of chronic disease management programs proposed to its members.
A de-identified claims database covering a 10-year period between 2008 and 2018 formed the core dataset of this study. An initial phase aimed to verify the consistency of data through time and across various tables, such as membership and claims. Following a descriptive analysis of the most prevalent conditions across various demographic groups, the healthcare cost analysis identified major individual (member level) and overall (fund level) cost contributors. Then, a time series forecasting appro ....

Data Mining , Time Series Forecasting , Nsurance Claims Data Analysis ,

15 Deep Learning Courses for High Salary Jobs

In this article, we will look at 15 Deep Learning Courses for High Salary Jobs. We will also discuss the innovations and intelligence of deep learning along with companies that are making huge contributions in the industry. If you want to skip our detailed analysis, head straight to 5 Deep Learning Courses for High Salary […] ....

Andrej Karpathy , Convolutional Neural Networks , Specialization On Coursera Inc , Neural Networks , Udemy Inc , Tensorflow On Coursera Inc , Alphabet Inc , Generative Adversarial Networks Gans , Recurrent Neural Networks , Generative Adversarial Networks , Artificial Neural Networks , Elearning Courses , High Salary Jobs , Deep Learning , Deep Learning Engineer , Keras Deep Learning , Complete Tensorflow , Keras Deep Learning Bootcamp , Learninga Z , Self Organizing Maps , Boltzmann Machines , Professional Certificate , Coursera Inc , Adversarial Networks , Deep Convolutional , Machine Learning ,