Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Abstract: The Adaptive Neural Evolutionary Framework for Building Dynamic Systems with Hybrid Intelligent Architectures is designed to address challenges in real-time adaptability, optimization, and ...
Abstract: This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are ...
Deep learning framework for classifying traffic sign safety using synthetic data and hybrid quantum-classical models, tested against compound adversarial attacks and enhanced defenses.
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine Learning Force Fields (MLFFs) promise to enable general molecular simulations ...
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