Automated Classification of Humpback Whale Calls Using Deep Learning: A Comparative Study of Neural Architectures and Acoustic Feature Representations. [PDF]
Johnson JC, Rong Y.
europepmc +1 more source
Schematic representation of Faster_R-CNN architecture.
Puneet Thapar (21464240) +5 more
openalex +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Wavelet-convolutional neural network for fault prediction in coal mine seismic data. [PDF]
Zou G, Han C, Yeh HG, Peng S.
europepmc +1 more source
iPromoter-BnCNN: a novel branched CNN based predictor for identifying and classifying sigma promoters [PDF]
Ruhul Amin +6 more
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Fault Diagnosis and Classification of Rolling Bearings Using ICEEMDAN-CNN-BiLSTM and Acoustic Emission. [PDF]
Li J, Sheng H, Liu B, Liu X.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Low-SNR and BER reduction in UWOC systems using DESN and CNN-TCN deep learning models. [PDF]
Salama WM, Aly MH, Amer ES.
europepmc +1 more source

