Results 161 to 170 of about 189,472 (279)
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
From exchangeability to rational belief: a cognitive interpretation of de Finetti's theorem. [PDF]
Costa T.
europepmc +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Learning in Probabilistic Boolean Networks via Structural Policy Gradients. [PDF]
Rivera Torres PJ.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus. [PDF]
Huan O, Wang Z.
europepmc +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
A quantum-cognitive approach to dynamic meaning construction. [PDF]
Yin M.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
The WeDDa framework for preventing smishing and vishing using protocol agnostic cryptographic trust. [PDF]
Salem MFM, Hamad EKI, El-Bendary MAM.
europepmc +1 more source

