Results 81 to 90 of about 10,051 (219)

Individual bird identification by modelling temporal structure in bioacoustic embeddings

Methods in Ecology and Evolution, EarlyView.
Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego, Juan D. Martinez‐Vargas, José D. López   +2 more
wiley   +1 more source

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

Applied AI Letters, Volume 7, Issue 3, October 2026.
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar, Mohammad Hossein Moattar, Yahya Forghani   +2 more
wiley   +1 more source

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing

Advanced Science, Volume 13, Issue 50, 7 September 2026.
A multimodal tactile sensor module that mimics the spatial arrangement and function of Merkel discs and Meissner corpuscles within the human papillary structure operates in a self‐powered manner, responding to both dynamic and static stimuli, achieving tactile perception more similar to human skin.
Jaehyeong Kim, Bohee Maeng, Seunghwan Seo, Kyoung‐Yong Chun, Chang‐Soo Han   +4 more
wiley   +1 more source

STFT phase retrieval with two window functions

Applied and Computational Harmonic Analysis
In this paper, we consider the uniqueness of STFT phase retrieval with two window functions. We show that a complex-valued locally integrable nonseparable signal is uniquely determined up to a global phase by phaseless samples of its short time Fourier transforms with respect to two well-chosen window functions over countable parallel lines or certain ...
Chen, Ting, Lu, Hanwen, Sun, Wenchang, Zhao, Yutong   +3 more
openaire   +2 more sources

Piezo‐Coupling Effects in Smart Polymers: Toward Ultrasensitive Sensing and Biomedical Applications

Advanced Science, Volume 13, Issue 51, 14 September 2026.
Piezo‐coupling effects are the foundational factors for the development of multifunctional and self‐powered platforms. Central to this advancement is the use of stimuli‐responsive smart polymers, which offer mechanical flexibility, biocompatibility, and simplified structural complexity with improved sensitivity and energy efficiency.
Duc Khanh Tran, Tuan Sang Tran, Thanh‐An Truong, Trung‐Hieu Vu, That Buu Ton, Dzung Viet Dao, Van Thanh Dau   +6 more
wiley   +1 more source

Prognostic Approaches for Early Detection of Thermal Runaway in Lithium‐Ion Batteries

Battery Energy, Volume 5, Issue 5, September 2026.
This article reviews methodologies for early detection of thermal runaway in lithium‐ion batteries, focusing on thermal, electrical, mechanical, and gas‐based precursors. It compares detection performance, reliability, lead time, and system‐level integration challenges to guide the development of practical, robust prognostic safety architectures.
Sahithi Maddipatla, Byoungchul Kwon, Judith Jeevarajan, Michael Pecht   +3 more
wiley   +1 more source

Episodic Meta‐Learning for Open‐Set RF Fingerprinting and Rapid Few‐Shot Onboarding

Engineering Reports, Volume 8, Issue 9, September 2026.
We present an episodic meta‐learning pipeline aimed at solving the practical issues of unknown device detection and swiftly onboarding new devices. This new approach achieves very good performance in distinguishing between known and unknown devices. ABSTRACT Large‐scale wireless sensor networks increasingly rely on radio frequency fingerprinting to ...
Emmanuel Osei Owusu, Iddrisu Danlard, Griffith Selorm Klogo, Kwame Osei Boateng, Emmanuel Kofi Akowuah   +4 more
wiley   +1 more source

Bearing Estimation Using Double Frequency Reassignment for a Linear Passive Array

Polish Maritime Research, 2017
The paper demonstrates the use of frequency reassignment for bearing estimation. For this task, signals derived from a linear equispaced passive array are used.
Czarnecki Krzysztof, Leśniak Wojciech
doaj   +1 more source

A Review of Fault‐Tolerant Control Applications in Process Equipment: Boilers, Heat Exchangers, Pumps, Turbines, and Engines for Greater Reliability

Engineering Reports, Volume 8, Issue 9, September 2026.
The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin, Arslan Aslam, Ansa Mubarak, Saba Waseem, Umair Shahzad   +4 more
wiley   +1 more source

Identifikasi Emosi Melalui Sinyal EEG menggunakan 3D-Convolutional Neural Network

Jurnal Elkomika
ABSTRAK Emosi memberikan peran penting dalam interaksi manusia yang didapat melalui respon yang tepat. Respon yang tak tepat menunjukan adanya gangguan mental sehingga diperlukan identifikasi emosi.
RINDU TEGAR SENJAWATI, ESMERALDA CONTESSA DJAMAL, FATAN KASYIDI   +2 more
doaj   +1 more source