Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...
One calculation probes complex behavior and yields a checkable result where classical simulation blows up in cost—vital for ...
SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...
Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
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The uncanny mind: 54 accounts of high-level cognitive behavior
You get smart. Then you get uncomfortably smart. That rare, off-the-charts, stop-everyone-in-their-tracks type of ...
Abstract: Existing dependent task offloading approaches mainly rely on centralized algorithms and are typically constrained to single-objective optimization. In addition, offloading fairness among fog ...
GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems
Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...
The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
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