Results 201 to 210 of about 75,080 (277)

Robust Citrus Disease Diagnosis: A Hybrid CNN Framework for Multi‐Task Classification, Severity Estimation, and Cross‐Species Adaptation

Engineering Reports, Volume 8, Issue 2, February 2026.
We propose a hybrid CNN–ML approach to accurately classify diseases in lemon and orange leaves and assess their severity. Our model achieves high accuracy and demonstrates generalizability, showing promise for automated disease detection and management in citrus crops.
Sayma Akter Rupa, Khandoker Nosiba Arifin, Md Musfique Anwar   +2 more
wiley   +1 more source

Process Design of Vinyl-Coated Metal Sheet Stamping for Prevention of Delamination and Wrinkling by DNN-Based Multi-Objective Optimization. [PDF]

Materials (Basel)
Kim MG, Ryu JC, Lee CJ, Jang JS, Ko DC.
europepmc   +1 more source

Seismic Structural Response and Loss Estimation for Dense Urban Districts Using Neural Network Parameterized Gaussian Process

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 397-412, February 2026.
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi, Sang‐ri Yi, Taeyong Kim   +2 more
wiley   +1 more source

NERHF: a hybrid machine learning-driven efficient credit risk control framework. [PDF]

Sci Rep
Wei L, Dong J, Yu H.
europepmc   +1 more source

Computer Vision‐Guided Automated External Defibrillator System Improves Cardiopulmonary Resuscitation Accuracy: A Randomized Crossover Trial

Health Science Reports, Volume 9, Issue 2, February 2026.
ABSTRACT Background and Aims Out‐of‐hospital cardiac arrests (OHCAs) remain a critical challenge in emergency care, as CPR effectiveness heavily relies on precise chest compressions. We propose a novel CPR guidance system using computer vision to track rescuer motion in real time.
Li Liu, Hua Huang, Pengcheng Zhao, Yan Chen, Sixing Liu, Qun Wu, Wei Jing, Mingjie Yin, Yongyuan Li, Jiahuan Lu, Xicheng Zhang, He Xu, Yimu Ji   +12 more
wiley   +1 more source

Compressing and expanding optical matrix-vector multipliers for enabling optical image encoder-decoders and generators. [PDF]

Light Sci Appl
Stern A.
europepmc   +1 more source

Harnessing viral footprints in circulating free DNA (cfDNA) for early cancer detection: A focus on liquid‐biopsy‐based screening

International Journal of Cancer, Volume 158, Issue 3, Page 511-526, 1 February 2026.
Abstract Viral infections play a significant role in cancer development, making detecting viral signatures a promising approach for early cancer diagnosis. Circulating free DNA (cfDNA), released into the bloodstream by tumors and other cells, has emerged as a powerful biomarker for non‐invasive cancer screening.
Richard Donkor Amponsah, Emmanuel Addai Gyabaah, Moro Amidu, Zhao Cheng, Fazlur Rahman Talukdar   +4 more
wiley   +1 more source

Intelligent smart sensing with ResNet-PCA and hybrid ML-DNN for sustainable and accurate plant disease detection. [PDF]

Front Plant Sci
Alsubai S, Almadhor A, Al Hejaili A, Gadekallu TR.   +3 more
europepmc   +1 more source

Recent Advances in Integrating Graphene into Polymeric Nanocomposite Hydrogels for Biomedical Applications

Macromolecular Bioscience, Volume 26, Issue 2, February 2026.
This review explores recent progress in graphene‐based polymeric nanocomposite hydrogels and how they enhance mechanical strength, electrical conductivity, and biocompatibility. It outlines key fabrication strategies and highlights applications in drug delivery, tissue engineering, and photothermal therapy, while also discussing the emerging role of ...
Abrar Hussain, Irum Batool, Khurram Shahzad, Syed Kumail Hussain Naqvi, Shahzaib Akhter, Ujala Zafar, Khaled Chawraba, Sang Hyun Park   +7 more
wiley   +1 more source

pCPPs-sADNN: predicting cell-penetrating peptides using self-attention based deep neural network. [PDF]

Sci Rep
Almusallam N, Shahid, Hayat M, Alarfaj FK.   +3 more
europepmc   +1 more source