Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...
AI fiction detection reaches 93% accuracy using only narrative structure — how plots unfold, themes are stated, and endings ...
Abstract: This paper investigates the joint power allocation and user association problem in multi-cell Massive MIMO (multiple-input multiple-output) downlink (DL) systems. The target is to minimize ...
As the AI era becomes increasingly shaped by foundation models, the pharmaceutical industry is entering a new phase of opportunity for discovery, design, and decision-making driven by AI for science.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This research introduces a machine learning-centric approach to replicate olfactory ...
We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...
The main objective of this study is to research and develop a genetic algorithm (GA) for optimizing Chaboche material model parameters within an industrial environment. The optimization is based on 12 ...
This article presents two novel continuous-and discrete-time neural networks (NNs) for solving quadratic minimax problems with linear equality constraints. These two NNs are established based on the ...
The identification of decision variable interactions has a crucial role in the final outcome of the algorithm in the large-scale optimization domain. It is a prerequisite for decomposition-based ...
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