IEEE

Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering

Abstract: Task scheduling in distributed cloud and fog computing applications must be efficient to optimize resource utilization, minimize latency, and comply with strict service level agreements. The ...

How to automate just-in-time access to applications with Tines

Managing just-in-time access at scale is a growing IAM challenge as speed and auditability collide daily. Tines shows how ...
InfoQ

Java Concurrency from the Trenches: Lessons Learned in the Wild

Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...
IEEE

Downscaling Methods Combining Super-Resolution and Multi-task Learning

Abstract: In recent years, deep learning techniques have been introduced into the meteorological field due to their efficient prediction capabilities, especially in downscaling techniques, which ...
GitHub

A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform ...

🌟 Tip: With GIS MCP Server, your AI can now “think spatially,” unlocking new capabilities for environmental analysis, mapping, and location intelligence.