The current release of this book can be found at here. This book was desigend originally for the undergraduete course ISE 3434 - "Deterministic Operations Research II" taught at Virginia Tech. I will ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Across the globe, a race is under way to crack some of the last mysterious forms of writing that have never been translated.

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...

Cognitive dissonance happens when you hold two conflicting thoughts in your mind at the same time — like loving both hamburgers and cows. Cognitive dissonance is a theory in social psychology first ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Good programmers need to create code that efficiently solves problems, using various methods. A ...

Trucking can be an exciting yet dangerous profession. Your key to long-term success in the trucking industry is to have an up to-date and effective trucking safety plan. This plan should be updated ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

We ran a piece last year summarizing an IEEE study of programming-language popularity based on job listings. This article fostered conversation, including debates about whether the languages IEEE used ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...