Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions

J Thomas - ar** an Adaptive Educational Chatbot for Personalized SQL Tutoring
S Chintala, N Kunchakuri, N Kamuni… - 2024 International …, 2024 - ieeexplore.ieee.org
Today chatbots are the most popular assistant tool we come across while surfing any
website, browser, application. Chatbots are multi-functional interactive computer programs …

[PDF][PDF] Enhancing Federated Learning Evaluation: Exploring Instance-Level Insights with SQUARES in Image Classification Models

D Sai, H Mashetty - J. Electrical Systems, 2024 - pdfs.semanticscholar.org
Federated Learning (FL) presents a novel approach within the domain of Machine Learning
(ML)—enabling the training of ML models in a distributed manner. This paradigmatic shift …

Exploring Variational Autoencoders and Generative Latent Time-Series Models for Synthetic Data Generation and Forecasting

S Dodda - 2024 Control Instrumentation System Conference …, 2024 - ieeexplore.ieee.org
This study examines the fundamental theory necessary for comprehending Variational
Autoencoders (VAEs) and generative latent time-series models. We will also explain how …

Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance

A Soni, S Alla, S Dodda, H Volikatla - arxiv preprint arxiv:2405.18687, 2024 - arxiv.org
The market for domestic robots made to perform household chores is growing as these
robots relieve people of everyday responsibilities. Domestic robots are generally welcomed …

The Evolution of Football Betting-A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation

P Mandadapu - arxiv preprint arxiv:2403.16282, 2024 - arxiv.org
This paper explores the significant history of professional football and the betting industry,
tracing its evolution from clandestine beginnings to a lucrative multi-million-pound …