IEEE

Optimizing Construction Project Scheduling Using Machine Learning and AI-Based Predictive Analytics for Cost and Time Efficiency

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...
IEEE

Effective Energy Management Technique for Fuel Cell Hybrid Electric Vehicle using Deep Reinforcement Learning Technique

Abstract: Fuel Cell Hybrid Electric Vehicles (FCHEVs) offer an environmentally friendly alternative to conventional vehicles, yet their performance heavily relies on the efficiency of their Energy ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
Tech Xplore

Smart drones, safe skies: Student's system tests and coordinates drone fleets

Autonomous drones could deliver packages, inspect bridges and skyscrapers, monitor emergencies like wildfires and, eventually, ferry people. But the airspace still lacks the testing and coordination ...
TDWI

From Pilot to Production: Why LLM Features Stall, and a Readiness Checklist for Data Leaders

Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...