Results 191 to 200 of about 3,700 (260)

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Nonlinear classifiers for wet-neuromorphic computing using gene regulatory neural network. [PDF]

Biophys Rep (N Y)
Ratwatte A, Somathilaka S, Balasubramaniam S, Gilad AA.   +3 more
europepmc   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach. [PDF]

PLoS One
Das N, Hossain MB, Adhikary A, Raha AD, Qiao Y, Hassan MM, Bairagi AK.   +6 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Predictive modeling of drain current in advanced FET architectures using ML-based TCAD calibration. [PDF]

Sci Rep
Mohapatra S, Shekhar R, Jadhav A, Jena B.   +3 more
europepmc   +1 more source

SimpleKANSleepNet: a Kolmogorov-Arnold network based sleep stage classification method. [PDF]

Front Bioinform
Ji X, Wang L, Zhou Y.
europepmc   +1 more source

ASAS-NANP symposium: mathematical modeling in animal nutrition: review of time series techniques and machine learning models for advancing livestock production. [PDF]

J Anim Sci
Peter J, Li M, Brennan J, Menendez H, Moradi Rekabdarkolaee H.   +4 more
europepmc   +1 more source

A Blockchain-Enhanced Neural Network Framework for secure e-waste forecasting in smart cities. [PDF]

Front Public Health
Facuy J, Pasini A, Estévez E, Moran C, Illescas W, Veloz V.   +5 more
europepmc   +1 more source