Results 151 to 160 of about 134,091 (279)

Enhancing Analogy-based Software Cost Estimation using Gray Wolf Optimization Algorithm

Abstract Human effort is considered one of the most important factors for a better estimation of software development costs. Therefore, the cost of software product development is usually seen based on the amount of effort required for its development. Numerous methods and paradigms are provided for software project estimation.
Taghi Javdani Gandomani, Sadegh Ansaripour, Maedeh Dashti   +2 more
openaire   +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

Improved Performance and Cost Algorithm for Scheduling IoT Tasks in Fog–Cloud Environment Using Gray Wolf Optimization Algorithm

Applied Sciences
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics.
Naseem Adnan Alsamarai, Osman Nuri Uçan
doaj   +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

Providing a framework to optimize the sustainable construction material supply chain with the possibility of horizontal transfers

Sustainable Futures
The application of Supply Chain Management (SCM) principles has gained considerable attention across various industries to enhance operational efficiency and business performance.
Hamed Ghamari, Hamidreza Abbasianjahromi, Seyed Mohammad Mirhosseini   +2 more
doaj   +1 more source

Mapping Images with the Coherence Length Diagrams

, 2009
Statistical pattern recognition methods based on the Coherence Length Diagram (CLD) have been proposed for medical image analyses, such as quantitative characterisation of human skin textures, and for polarized light microscopy of liquid crystal textures.
Marazzato, R., Sparavigna, A.
core  

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

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

Applying a Hybrid Gray Wolf-Enhanced Whale Optimization Algorithm to the Capacitated Vehicle Routing Problem

Journal of Advanced Transportation
The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). By integrating the enhanced whale optimization algorithm (EWOA) and gray wolf optimizer (GWO) with tournament ...
Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang   +2 more
doaj   +1 more source