Results 131 to 140 of about 22,071 (254)

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

Deep neural network assisted modeling for MHD thin film flow of Sisko hybrid nanofluids with gyrotactic microorganisms and cross-diffusion effects. [PDF]

Discov Nano
Aljaloud AS, Rehman S, Alshammari FK, Jebnouni A, Alreshidi KR, Said R.   +5 more
europepmc   +1 more source

Deep Learning Improves Robustness of Voxelwise Kinetic Modeling for Hyperpolarized Carbon‐13 MRI

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2857-2869, December 2026.
ABSTRACT Purpose To evaluate whether deep learning improves the robustness of voxelwise kinetic parameter estimation from hyperpolarized (HP) 13C MRI compared with nonlinear least‐squares (NLLS) fitting. Methods A hybrid neural network (NN) was trained on synthetic pyruvate/lactate time courses generated from an open‐system two‐compartment HP 13C ...
Kofi Deh, Yeona Kang, Tsang‐Wei Tu, Rania Jones, Curtiland Deville, Rao Khan   +5 more
wiley   +1 more source

A Blockchain-Enabled Security Framework for Cloud-Based Sensor Systems with Deep Learning-Driven Attack Classification. [PDF]

Sensors (Basel)
Ahmad N, Cao Y, Liu W.
europepmc   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments. [PDF]

Sensors (Basel)
Mohammed I, Mahgoub I.
europepmc   +1 more source

Guest Editorial: Computational Intelligence in Dynamic and Uncertain Environments

CAAI Transactions on Intelligence Technology, EarlyView.
Shouyong Jiang
wiley   +1 more source

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits in oat breeding programs.
Samuel A. Adewale, Md Ali Babar, Diego Jarquin, Naeem Khan, Stephen Harrison, Noah DeWitt, Rick Boyles, Shuyu Liu, Ellen Melson, Daniel Hathcoat, Jason D. Fiedler, Raja Sekhar Nandety   +11 more
wiley   +1 more source

Patent license prediction using deep survival analysis: A comparative study. [PDF]

PLoS One
Arai T, Inoue H.
europepmc   +1 more source

CASARS Recommender Systems: A Systematic Review on Methods, Datasets, Limitations, and Future Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
This paper presents the results of a systematic literature review on recommender systems that simultaneously incorporate the context‐aware and session‐aware recommendation paradigms (CASARS). To provide an overview of this specific research area, our review investigated: (1) which techniques have been employed to model contextual preference from the ...
Matheus Henrique Cecilio Leme, Vinicius Sylvestre Simm, Douglas Rorie Tanno, Marcos Aurelio Domingues   +3 more
wiley   +1 more source