Results 211 to 220 of about 30,189 (295)

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning. [PDF]

Elife
Liu Z, Shu H, Wang L, Meng X, Wang Y, Li X, Wang W, Chen T.   +7 more
europepmc   +1 more source

Glacier Mass Balance Modeling Using a Long Short‐Term Memory Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Glacier mass balance (MB) is a key indicator of climate change and a central driver of glacier evolution, yet most glaciers worldwide lack long‐term in situ measurements. For estimating glacier MB, data‐driven models provide a complementary alternative to traditional numerical approaches by learning empirical relationships between climate ...
Marijn van der Meer, Harry Zekollari, Alban Gossard, Kamilla Hauknes Sjursen, Jordi Bolibar, Matthias Huss, Daniel Farinotti   +6 more
wiley   +1 more source

Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation. [PDF]

Sci Rep
Kumar LKS, Nethi SR, Uyyala R, Vurubindi P, Narahari SC, Das AK, K VB, Alenazi MJF.   +7 more
europepmc   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

Representation Transfer via Invariant Input-driven Continuous Attractors for Fast Domain Adaptation. [PDF]

Commun Biol
Xu T, Wu S, Luo J, Yang Y, Lin F, Jiang J, Chen G, Yang D.   +7 more
europepmc   +1 more source

Prediction of Properties of Polymer Composite Formulations Using Ensemble Models With Feature Generation

Journal of Applied Polymer Science, Volume 143, Issue 25, July 5, 2026.
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley   +1 more source

Smart grid inverter control: integrating RNN, model predictive, and adaptive sliding mode controller for optimal harmonic mitigation. [PDF]

Sci Rep
Zeb O, Rehman A, Sultan N, Sherazi HI, Alburidy A, Alrumayh ON.   +5 more
europepmc   +1 more source

A Dual‐Memory Ferroelectric Transistor Emulating Synaptic Metaplasticity for High‐Speed Reservoir Computing

Advanced Electronic Materials, Volume 12, Issue 13, 6 July 2026.
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang, Muhammad Sakib Shahriar, Salma Soliman, Noah Vaillancourt, Lance Fernandes, Andrea Padovani, Asif Islam Khan, Md Sakib Hasan, Raisul Islam   +8 more
wiley   +1 more source

LSTM-GRU hybrid model for multi-layer microclimate prediction in solar greenhouse. [PDF]

Sci Rep
Li B, Wang Z, Guo Y, Zhou X, Qiao B, Han L.   +5 more
europepmc   +1 more source

Application of Machine Learning in Low‐Carbon Economy: A Comprehensive Review of Predicting Cycle Life of Lithium/Sodium‐Ion Batteries

Carbon Neutralization, Volume 5, Issue 4, July 2026.
This review provides a comprehensive and up‐to‐date overview of applications of machine learning in predicting lithium/sodium‐ion batteries' cycle life. ABSTRACT The cycle life of rechargeable batteries, such as lithium‐ion and sodium‐ion systems, is a critical performance metric that determines their suitability for various applications in the context
Bo Zhang, Xiao‐Min Zou, Xin Wen, Jia‐Lu Wu, Jing‐Jing Pan, Xin Tan, Jamie L. Cross   +6 more
wiley   +1 more source