Results 141 to 150 of about 74,649 (273)

Frozen Soil Hydrological Processes and Their Effects: A Review and Synthesis

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract Frozen soils, including seasonally frozen ground and permafrost, are rapidly changing under a warming climate, with cascading effects on water, energy, and carbon cycles. We synthesize recent advances in the physics, observation, and modeling of frozen‐soil hydrology, emphasizing freeze–thaw dynamics, infiltration regimes and preferential flow,
Ying Zhao, Ce Zheng, Alexander Gelfan, Kunio Watanabe, Haojie Liu, Stephanie Wright, Xiaolong Wu, William Quinton, Yi Wang, Shuhua Yi, Yongyong Zhang, Yujie Shi, Wentao Jiao   +12 more
wiley   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 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

Fault diagnosis of H-bridge cascaded five-level inverter based on improved support vector machine with gray wolf algorithm

, 2023
Qingqing Yuan, Tu Qian, Lei Yan, Kun Xia
openalex   +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

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

Engineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein, Fahad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +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

Loss reduction optimization strategies for medium and low-voltage distribution networks based on Intelligent optimization algorithms

Energy Informatics
Problem With the rapid development of social economy, the problem of line losses in distribution networks gradually becomes prominent, which directly affects the efficiency and economy of power systems.
Nian Liu, Yuehan Zhao
doaj   +1 more source

Optimal Network Reconfiguration to Improve Network Reliability and Voltage Profile in Distribution Systems Using Chaotic Linear Decreasing Inertia Weight‐Based Particle Swarm Optimization

Engineering Reports, Volume 8, Issue 2, February 2026.
Graphical abstract illustrates the optimization process in MATLAB software for network reconfiguration to improve reliability and voltage profile using PSO‐CLDIW. ABSTRACT The growing energy demand has intensified reliability challenges in power distribution systems.
Samson Ademola Adegoke, Job Adedamola Adeleke, Adesola Sunday Adegoke, Abiodun Osuolale   +3 more
wiley   +1 more source

Optimization of time modulated array antennas based on improved gray wolf optimizer

AIP Advances
With the widespread application of intelligent optimization algorithms in engineering and scientific fields, the need for their improvement and optimization is increasingly evident.
TianNing Zhu, Yan Liu, JianHui Li, WanRu Zhao   +3 more
doaj   +1 more source