Results 211 to 220 of about 75,080 (277)

Multi‐Channel Neural Interface for Neural Recording and Neuromodulation

Small Methods, Volume 10, Issue 3, 9 February 2026.
This review highlights recent advances in multi‐channel neural interface technologies, covering both high‐resolution electrophysiological recording systems and multifunctional platforms with integrated capabilities. It also discusses innovations in structure and materials for reduced invasiveness, state‐of‐the‐art data analysis, including machine ...
Eunmin Kim, Won Gi Chung, Enji Kim, Myoungjae Oh, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jang‐Ung Park   +9 more
wiley   +1 more source

Backpropagation DNN and Thermokinetic Analysis of the Thermal Devolatilization of Dried Pulverized <i>Musa sapientum</i> (Banana) Peel. [PDF]

Polymers (Basel)
Otaru AJ.
europepmc   +1 more source

NLML: A Deep Neural Network Emulator for the Exact Nonlinear Interactions in a Wind Wave Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Nonlinear wave interactions describe the resonant energy transfer between wave components, playing a fundamental role in the evolution of ocean wave spectra. Nonlinear wave interactions significantly influence wave growth and development, making them essential for accurate wave modeling.
Olawale James Ikuyajolu, Luke Van Roekel, Steven R. Brus, Erin E. Thomas   +3 more
wiley   +1 more source

Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms. [PDF]

Sci Rep
Li P, Guo S, Liang M, Lu Q.
europepmc   +1 more source

Experimental Verification of a Two‐Dimensional Inverse Method for Turbidity Currents Using a Deep Neural Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley   +1 more source

Deep neural networks and deep deterministic policy gradient for early ASD diagnosis and personalized intervention in children. [PDF]

Sci Rep
Zheng Y, Ma S, Liu X, Wang L, Chen M, Yuan J, Wang H.   +6 more
europepmc   +1 more source

A Generalized Data‐Driven Shoreline Model at the Regional Scale

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Shoreline models underpin long‐term coastal planning and hazard mitigation but are often limited by site‐specific calibration and simplified process representations. While machine learning (ML) approaches have recently matched or exceeded the skill of traditional models in deterministic shoreline forecasting, they have yet to demonstrate ...
Kit Calcraft, Joshua A. Simmons, Lucy A. Marshall, Kristen D. Splinter   +3 more
wiley   +1 more source

Interpretable intrusion detection for IoT environments using a self-attention-based explainable AI framework. [PDF]

Sci Rep
Sharma KP, Nagpal T, Vora T, Yadav A, Abdullah MI, Jayaprakash B, Kashyap A, Sridevi G, Bhowmik A, Bukate BB.   +9 more
europepmc   +1 more source

Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine. [PDF]

Biology (Basel)
Sharifuzzaman M, Mun HS, Lagua EB, Hasan MK, Kang JG, Kim YH, Mehtab A, Park HR, Yang CJ.   +8 more
europepmc   +1 more source

HMLA: A hybrid machine learning approach for enhancing stroke prediction models with missing data imputation techniques. [PDF]

Sci Rep
Singh MS, Thongam K, Kumar K, Choudhary P.   +3 more
europepmc   +1 more source