There were some changes to the recently updated OWASP Top 10 list, including the addition of supply chain risks. But old ...
Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...
In vibration-critical applications, understanding how a PCB deforms under excitation is essential. Using massively parallel ...
Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...
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The "China Autonomous Driving Data Closed Loop Research Report, 2025" report has been added to ResearchAndMarkets.com's offering. Data Closed-Loop Research: Synthetic Data Accounts for Over 50%, ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Abstract: Accurate system identification is crucial for model-based control, planning, and algorithm training. Although numerous robotic model structures have been established, the specific parameter ...
Abstract: This article studies the event-triggered distributed model predictive control (ET-DMPC) strategy for the load frequency control (LFC) issue of multiarea interconnected power systems (IPSs) ...
A complete, production-ready distributed task queue system with: ...
Picking the right simulation software is a big first step when you’re getting into mobile robotics. It’s not just about ...
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