Results 211 to 220 of about 3,984,242 (310)
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer +6 more
wiley +1 more source
Predicting extreme thermal degradation of ascorbic acid (Vitamin C) using Bayesian-Inverse Weibull models: Applications in stability analysis and process optimization. [PDF]
Azeem R, Aslam M, Mehmood T, Al-Essa LA.
europepmc +1 more source
Mathematical approach in forensic science and use of probability in evalution of evidence
Bruno Cardinetti
openalex +2 more sources
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley +1 more source
Correction: Elevated Interleukin-6 Is Associated with Successful Weight Loss 3 Months Postlaparoscopic Sleeve Gastrectomy. [PDF]
Bracha M +8 more
europepmc +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Novel extensions of k-harmonically convex functions and their applications in information science. [PDF]
Fahad A, Furuichi S, Ali Z, Wang Y.
europepmc +1 more source
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
Learning Optimal Crowd Evacuation from Scratch Through Self‐Play
How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri +3 more
wiley +1 more source

