Results 91 to 100 of about 135,468 (263)

Self‐Supervised Learning‐Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

Advanced Intelligent Systems, EarlyView.
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang, Yifeng Hao, Jing Dai, Ka‐Wai Kwok   +3 more
wiley   +1 more source

Relationships among tissues, biofluids, and otolith selenium concentrations in wild female burbot (Lota lota)

Integrated Environmental Assessment and Management, EarlyView., 2023
Abstract In the Lake Koocanusa‐Kootenai River system (Montana, USA and British Columbia, Canada), selenium (Se) contamination has become an international concern and is suspected to contribute to the observed burbot (Lota lota) population collapse. Due to our limited ability to sample burbot in Lake Koocanusa for monitoring studies, we used a reference
Stephanie D. Graves, Noëlie Molbert, David M. Janz, Lauren D. Hayhurst, Jessica E. Brandt, Lauren Timlick, Vince P. Palace   +6 more
wiley   +1 more source

Liveness‐Verified Dynamic Time Warping‐Based Authentication and Hybrid Adaptive Neuro‐Fuzzy Inference System Identification for Single‐Channel Diaphragmatic Breathing Surface Electromyography Biometrics

Advanced Intelligent Systems, EarlyView.
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan, Kutlucan Gorur, Feyzullah Temurtas   +2 more
wiley   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

Advanced Intelligent Systems, EarlyView.
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz, Hamza Osman Ilhan, Gorkem Serbes   +2 more
wiley   +1 more source

‘Turkeys Cannot Vote for Christmas’: Why Epistemic Disobedience in an Anti‐Black World Matters

Australian Journal of Social Issues, EarlyView.
ABSTRACT Never in the history of global coloniality has the idea of epistemic disobedience been as important as in the 21st century. This is not only because the struggle for decolonisation has shifted from physical confrontation between the coloniser and the colonised into a battle of ideas but also because the former has deployed the idea of ...
Morgan Ndlovu
wiley   +1 more source

From Classical Ferroelectricity to Emerging Low‐Dimensional Phases

Advanced Physics Research, EarlyView.
Ferroelectricity is undergoing a renaissance, moving from classical perovskites to hafnia‐based thin films and low‐dimensional van der Waals crystals. Recent advances reveal exotic polarization mechanisms, ultrathin stability, and coupling with topology and valley physics.
Marius Adrian Husanu, Dana G. Popescu
wiley   +1 more source

“Visiting scientist effect”? Exploring the impact of time‐lags in the digitization of 2D landmark data

The Anatomical Record, EarlyView.
Abstract Measurement error (ME) in geometric morphometrics has been the subject of countless articles, but none specific to the effect of time lags on landmark digitization error. Yet, especially for visiting scientists working on museum collections, it is not uncommon to collect data in multiple rounds, with interruptions of weeks or years. To explore
Andrea Cardini
wiley   +1 more source

Deciphering Neolithic Habitation in Aegean Thrace Through Geophysical Prospection Surveys

Archaeological Prospection, EarlyView.
ABSTRACT Despite the relatively extensive archaeological research conducted in Greece focusing on the Neolithic period, Aegean Thrace remains one of the least studied regions. To address this gap, the MAPFARM (Mapping the Early Farmers in Thrace) project employed systematic archaeological surface survey combined with large‐scale geophysical prospection
A. Sarris, N. Papadopoulos, D. Urem‐Kotsou, D. Oikonomou, K. Sgouropoulos, P. Chrysafakoglou, Ch. Karadima, M. Chrysaphi   +7 more
wiley   +1 more source

The issues caused by misinformation—How workers and organizations deal with it: A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract In today's digital age, misinformation propagates rapidly through digital channels, blurring the lines between truth and fiction, and challenging the foundations of trust in information sources. Although affecting all spheres of life, misinformation poses a significant threat to workers highlighting a critical intersection between ...
Ashwani Malhotra, Nina Evans, Jing Gao, Jia Tina Du, Connie Zheng   +4 more
wiley   +1 more source