Results 191 to 200 of about 75,080 (277)

A Transformer-LSTM Hybrid Detector for OFDM-IM Signal Detection. [PDF]

Entropy (Basel)
Wang L, Tong Z, Wang K, Xie J, Peng X, Li B, Li J, Zeng X, Zhan J, Chen R.   +9 more
europepmc   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism

Brain and Behavior, Volume 16, Issue 2, February 2026.
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
wiley   +1 more source

Epidemic dynamics prediction using fractional SIRD and deep learning. [PDF]

Sci Rep
Shafqat R, Abuasbeh K, Trabelsi S, Balti M.   +3 more
europepmc   +1 more source

Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease Classification

Brain and Behavior, Volume 16, Issue 2, February 2026.
A multimodal Alzheimer's classification pipeline that combines clinical tests with fMRI networks to output individual‐level predictions and variable importance metrics. ABSTRACT Purpose Functional magnetic resonance imaging (fMRI) and deep learning models can classify Alzheimer's disease (AD) with high accuracy.
Samuel L. Warren, Ahmed A. Moustafa
wiley   +1 more source

AI and Big Data in Oncology: A Physician‐Centered Perspective on Emerging Clinical and Research Applications

Cancer Innovation, Volume 5, Issue 1, February 2026.
Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu, Qingyao Shang, Jun Li, Shuna Yao, Meishuo Ouyang, Yu Wang, Sheng Luo, Quchang Ouyang   +7 more
wiley   +1 more source

Development, performance evaluation and prediction of optimal operational conditions for a double-row sugarcane harvester using deep learning. [PDF]

Sci Rep
Elwakeel AE, Elden AZ, Ahmed SF, Issa S, Li C, Ali KAM, Hanafy WM, Ali G, Alzahrani F, Ahmed AF.   +9 more
europepmc   +1 more source

Digital Biomarkers for Precision Early Detection of Lung Cancer: Integrating AI‐Driven Multi‐Omics Into Clinical Pathways

Cancer Medicine, Volume 15, Issue 2, February 2026.
ABSTRACT Background Lung cancer remains the leading cause of cancer‐related mortality worldwide, highlighting the urgent need for earlier detection within real‐world screening and patient management pathways. Recent advances in multi‐omics technologies have created new opportunities for identifying biomarkers associated with early‐stage lung cancer ...
Fan Bu, Zhi‐Qiang Ling
wiley   +1 more source

Cross domain fault diagnosis in internal combustion engines using multisensor data with transfer federated and transformer based federated transfer learning. [PDF]

Sci Rep
Srinivaas A, Sakthivel NR, Nair BB.
europepmc   +1 more source

Impact of Feature Engineering on Machine Learning Models for Heart Disease Prediction Across Multiple Data Sources

Engineering Reports, Volume 8, Issue 2, February 2026.
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil, Md. Rafiqul Islam, Saurav Chandra Das, Uzzal Kumar Acharjee, Md. Manowarul Islam, Mahir Mahbub   +5 more
wiley   +1 more source

Dual module- wider and deeper stochastic gradient descent and dropout based dense neural network for movie recommendation. [PDF]

Sci Rep
C K R, K C S, C K S.
europepmc   +1 more source