Results 111 to 120 of about 31,016 (247)
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
Advanced Intelligent Discovery, EarlyView.To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
Birds of a song sing together: adaptive choices in the use of shared vocalizations that indicate age
Frontiers in PsychologyThe study of non-human animals that are vocal learning, which is the ability to alter the structure of vocalizations, has provided important insights into our understanding of the evolution and development of vocal communication and language.
Francisco R. Magdaleno +5 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.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
LifeAutism spectrum disorder (ASD) encompasses a range of neurodevelopmental conditions characterized by impairments in social abilities and communication. Studying appropriate animal models can enhance our understanding of the neural mechanisms underlying ...
Estifanos Ghebrihiwet Tewelde +3 more
doaj +1 more source
Songbird species that display more-complex vocal learning are better problem-solvers and have larger brains. [PDF]
Science, 2023 Audet JN, Couture M, Jarvis ED.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Song preferences predict the quality of vocal learning in zebra finches. [PDF]
Sci Rep, 2023 Rodríguez-Saltos CA +6 more
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Ising Solver Using Vertical NAND Flash Memory
Advanced Intelligent Systems, EarlyView.Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park +7 more
wiley +1 more source