Results 151 to 160 of about 484,401 (253)

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

Advanced Science, Volume 13, Issue 7, 3 February 2026.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo, Yang Zhao, Xianle Rong, Chenxi Niu, Shiyu Hu, Qiang Liu, Fuping You   +6 more
wiley   +1 more source

An Explainable and Lightweight CNN Framework for Robust Potato Leaf Disease Classification Using Grad‐CAM Visualization

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed model achieves 99.14% accuracy with near‐perfect precision, recall, and F1 across all classes; Grad‐CAM visualizations confirm focus on biologically relevant symptom‐associated regions. ABSTRACT For identifying foliar diseases in crops at an early stage, accurate detection is necessary in maintaining food security, minimizing economic losses ...
MD Jiabul Hoque, Md. Saiful Islam
wiley   +1 more source

Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound

Applied AI Letters, Volume 7, Issue 1, February 2026.
Automated, AI‐based Lung Disease Classification using Point‐of‐Care Ultrasound. ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions.
Nixson Okila, Andrew Katumba, Joyce Nakatumba‐Nabende, Sudi Murindanyi, Jonathan Serugunda, Cosmas Mwikirize, Samuel Bugeza, Anthony Oriekot, Juliet Bosa, Eva Nabawanuka   +9 more
wiley   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Toward precision oncology: An integrative multi‐omics approach for prognosis prediction and inferred immunotherapy responsiveness in breast cancer

Clinical and Translational Discovery, Volume 6, Issue 1, February 2026.
We integrated four omics to build a breast cancer immunotherapy predictor. Survival‐associated biomarkers were compressed into 200 latent features via an autoencoder, then refined using three survival models. K‐means defined two subgroups (C1, high‐risk and C2, low‐risk).
Houda Bendani, Nasma Boumajdi, Lahcen Belyamani, Azeddine Ibrahimi   +3 more
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

High‐ and Low‐Protein Maternal Diet During Pregnancy Alter the Offspring Skeletal Muscle Transcriptome and miRNAome in Lamb

New Zealand Journal of Agricultural Research, Volume 69, Issue 1, February 2026.
Maternal nutrition during gestation is a crucial factor affecting offspring development. This study explores the impact of maternal dietary protein levels on the transcriptome and miRNAome of skeletal muscle in lambs. Twelve Akkaraman breed ewes were assigned to three dietary groups—standard (SP, 119–198 g/day), high (HP, 160–270 g/day), and low (LP ...
Bilal Akyüz, Md Mahmodul Hasan Sohel, Yusuf Konca, Korhan Arslan, Kutlay Gürbulak, Murat Abay, Mahmut Kaliber, Stephen N. White, Mehmet Ulas Cinar   +8 more
wiley   +1 more source

Keras2c: A library for converting Keras neural networks to real-time compatible C

Engineering applications of artificial intelligence, 2021
R. Conlin, K. Erickson, J. Abbate, E. Kolemen   +3 more
semanticscholar   +1 more source

What is “accuracy”? Rethinking machine learning classifier performance metrics for highly imbalanced, high variance, zero‐inflated species count data

Limnology and Oceanography: Methods, Volume 24, Issue 2, February 2026.
Abstract Machine learning has opened the door for the automated sorting (classification) of images, holograms and acoustic backscatters of individual plankton, invertebrates, fish and marine mammals. However, this field is complicated by decades of paradoxically promising reports of classifier performance that do not correlate with real‐world uptake of
Bianca M. Owen, James R. Tweedley, Navid R. Moheimani, Chris S. Hallett, Jeffrey J. Cosgrove, Leopold P. O. Silberstein   +5 more
wiley   +1 more source

Online Learning in Idealized Ocean Gyres

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract Ocean turbulence parameterization has principally been based on process‐based approaches, seeking to embed physical principles so that coarser resolution calculations can capture the net influence of smaller scale unresolved processes. More recently there has been an increasing focus on the application of data‐driven approaches to this problem.
James R. Maddison
wiley   +1 more source