Results 191 to 200 of about 79,266 (321)

Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomics. [PDF]

STAR Protoc
Paniagua K, Huang Y, Gao SJ, Chen Y, Jin YF, Flores M.   +5 more
europepmc   +1 more source

A network‐assisted joint image and motion estimation approach for robust 3D MRI motion correction across severity levels

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 363-381, January 2026.
Abstract Purpose The purpose of this work was to develop and evaluate a novel method that leverages neural networks and physical modeling for 3D motion correction at different levels of corruption. Methods The novel method (“UNet+JE”) combines an existing neural network (“UNetmag”) with a physics‐informed algorithm for jointly estimating motion ...
Brian Nghiem, Zhe Wu, Sriranga Kashyap, Lars Kasper, Kâmil Uludağ   +4 more
wiley   +1 more source

TiltRec: an ultra-fast and open-source toolkit for cryo-electron tomographic reconstruction. [PDF]

Bioinformatics
Jiao Y, Li H, Xue Y, Yang G, Qi L, Zhang F, Zang D, Han R.   +7 more
europepmc   +1 more source

A Hybrid Transformer–CNN Framework for Semantic Behavioral Modeling in Office Malware Detection

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Office documents have emerged as a prevalent attack vector, with adversaries increasingly embedding executable payloads and malicious macros to evade signature‐based detection mechanisms. To address these challenges, this study presents a hybrid Transformer–CNN semantic behavioral modeling framework for Office malware detection.
Sheikh M. Zeeshan Javed, M. Faisal Amjad, Sajjad A. Ghauri, Shahzaib Tahir, Nauman Anwar Baig   +4 more
wiley   +1 more source

Plasminogen activator inhibitor 1 promotes aortic aging-like pathophysiology in humans and mice. [PDF]

J Clin Invest
Khoddam A, Kalousdian A, Eren M, Soberanes S, Decker A, Lux EJ, Zywicki BW, Dinh B, Boztepe B, Cheema BS, Cuda CM, Abdala-Valencia H, Sivakumar A, Miyata T, Wilsbacher LD, Vaughan DE.   +15 more
europepmc   +1 more source

SmartWeed: An Autonomous Rover System for Real‐Time Weed Detection and Classification in Agricultural Fields

IET Cyber-Physical Systems: Theory &Applications, Volume 11, Issue 1, January/December 2026.
This study presents an autonomous rover for real‐time weed detection in agriculture using advanced YOLO object detection models. Experimental results show that YOLOv9‐E achieves the highest accuracy among all models, whereas YOLOv8 variants offer faster processing, demonstrating their potential for efficient and precise weed management in the field ...
Md Shahriar Hossain Apu, Suman Saha
wiley   +1 more source

Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
The graphical abstract (Graphical Abstract figure) summarises the proposed pipeline: multivariate ICS data streams are windowed and normalised, fed into a temporal LSTM–DNN encoder and per‐sensor operating‐envelope learner, combined via calibrated fusion and finally surfaced through an operator‐facing digital twin that provides event timelines, top ...
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Protocol for detecting oral squamous cell carcinoma in histopathology images using the momentum contrast framework. [PDF]

STAR Protoc
Zhang X, Fang Y, Liao W, Ma J, Gao X, Gao M, Zhao J.   +6 more
europepmc   +1 more source

Deep Learning‐Based Gas Holdup Detection in Plunger Lift Systems: A VGG‐Unet Approach

IET Image Processing, Volume 20, Issue 1, January/December 2026.
In the realm of oil and gas engineering, plunger lift systems are vital for mitigating liquid loading in gas wells. This study introduces a deep learning‐based approach for detecting gas holdup in the annulus of plunger lift systems, leveraging the VGG‐Unet architecture.
Bohan Zhang, Jie Liu, Xueqin Li, Tong Wu
wiley   +1 more source

A multi-GPU enabled solver in Kronecker product form for multiphysics problems. [PDF]

Sci Rep
Ma W, Zhao S, Le X, Yuan W.
europepmc   +1 more source