This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We develop constrained nuclear-electronic orbital density functional theory (CNEO–DFT) ...
Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of rigid-body motion. Traditional Euclidean ...
Abstract: In this paper, the discrete time-varying equality constrained optimization (D-TV-ECO) problem based on discrete-time zeroing neural dynamic (DT-ZND) method is studied. Firstly, a continuous ...
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