AI & Machine LearningComputing, Data & AI
Effectiveness of Machine Learning in Carbon Capture and Storage Site Selection
AI & Machine Learningarticles within NHSJS
AI & Machine LearningComputing, Data & AI
RAG for AI-Powered Career Guidance in High Schools: A Pilot Study
AI & Machine LearningComputing, Data & AI
A Modern Approach to Uplift Marketing: Using Artificial Intelligence to Maximize Marketing Efficiency
AI & Machine LearningComputing, Data & AI
A Machine Learning Framework for Predicting NFL Injuries Based on Preceding-Play Patterns
AI & Machine LearningComputing, Data & AI
Understanding Misinformation Dynamics: A Machine Learning Analysis for sharing and Belief
AI & Machine LearningComputing, Data & AI
Predictive Modeling of Oxygen Saturation Levels in COPD Patients Through Machine Learning
AI & Machine LearningComputing, Data & AI
Enhancing Reasoning Efficiency and Domain Adaptability of Server-Linked LLMs by Combining with a Customized Deep Learning Model
AI & Machine LearningComputing, Data & AI
An Analysis On The Change of COVID-19: A Proposal For A Forecasting Model And The Factors That Correlated With Mortality and Spread
AI & Machine LearningComputing, Data & AI
Investigating CNN-based Deep Learning and Traditional Machine Learning Algorithms for Posture Identification Using Real and Synthetic Images
AI & Machine LearningComputing, Data & AI
Applying Generative AI to Textbook Summarization in an Assistive Technology Setting
AI & Machine LearningComputing, Data & AI
Predicting Post-Stroke Aphasia Severity Using Explainable Machine Learning on Patient Data
AI & Machine LearningComputing, Data & AI
Identifying Current Position of a Player Using Machine Learning Approach
AI & Machine LearningComputing, Data & AI
Comparing the Effectiveness of Deep Learning Models Combined with Loss Functions in Cardiac Segmentation
AI & Machine LearningComputing, Data & AI
Computational Analysis of NBA Players with Machine and Deep Learning
AI & Machine LearningComputing, Data & AI
A Convolutional Neural Network Approach to Predicting the Power Output of a Solar Farm
