Abstract: This paper proposes a Q-learning-based routing algorithm for the routing optimization problem in wireless communication networks. The algorithm utilizes an agent to take actions in the ...
Smart Waste Routing AI Market size is expected to be worth around USD 32 bn by 2034, from USD 3.6 bn in 2024, growing at a ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...
In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...
Deploying LLMs presents challenges, particularly in optimizing efficiency, managing computational costs, and ensuring high-quality performance. LLM routing has emerged as a strategic solution to these ...
Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...
Social media platforms are more than just tools for sharing cat videos or keeping up with friends—they're powerful influencers of public opinion. The algorithms that drive these platforms determine ...
TravelPathOptimizer for trucking logistics is a software tool that boosts efficiency by determining optimal routes through algorithms. It accounts for traffic, weather, load, and timing, dynamically ...
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