This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: Dear Editor, This letter investigates predefined-time optimization problems (OPs) of multiagent systems (MASs), where the agent of MASs is subject to inequality constraints, and the team ...

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 ...

There are over 36,500 pieces of space debris of larger than 10 cm in orbit according to statistical model orbit provided by ...

"Over the past 40 years, the field of microeconomics has gone through a revolution in real-world applications, yet the ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...

Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...

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 ...