Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

Abstract: Multi-link operation (MLO) is a key feature introduced in the IEEE 802.11be (Wi-Fi 7) standard to support the quality of service (QoS) demands of emerging Internet of Things (IoT) wireless ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Abstract: Smart grid (SG) engages bidirectional energy and data flow with advanced metering infrastructure (AMI) and lures attackers to exploit vulnerabilities in the critical infrastructure. Of the ...

NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...

A Delft University of Technology team has improved agrivoltaic light-simulation methods by making atmospheric and canopy ...

This project is an effort to create a library implementation of the extended tight binding (xTB) Hamiltonian which can be shared between xtb and dftb+. Goals of this project are create a high-level ...

Clean Technologies Network (TECLIM), Federal University of Maranhão (UFMA), Balsas Campus, MA-140 Highway, Km 4, Balsas 65800-000 MA, Brazil Article Views are the COUNTER-compliant sum of full text ...