Results 41 to 50 of about 4,989 (215)

Simplification of Support Vector Solutions Using Artificial Bee Colony Algorithm

, 2012
Support vector machines (SVMs) are a relatively recent machine learning technique. One of the SVM problems is that SVM is considerably slower in test phase caused by the large number of support vectors, which limits its practical use.
Tsai, Yih-Jia; Yeh, Jih-Pin
core   +1 more source

Orchid genome evolution and trait innovation

Journal of Integrative Plant Biology, EarlyView.
Orchids became one of the world's most diverse plant groups through genome‐driven innovations, unique relationships with fungi and pollinators, and remarkable adaptability. This review explains the origins of orchids and the evolution of their distinctive life forms, flowers, and ecological strategies and highlights promising directions for future ...
Meng‐Yao Zeng, Cheng‐Yuan Zhou, Linying Wang, Jie Gao, Weilun Yin, Dong‐Hui Peng, Siren Lan, Feng‐Xi Yang, Zhong‐Jian Liu   +8 more
wiley   +1 more source

HSoMLSDP: A Hybrid Swarm-Optimized Machine Learning Framework for Software Defect Prediction

IEEE Access
This research aims to design a hybrid swarm-optimized machine learning software defect prediction (HSoMLSDP) framework to predict software defects. We strive to do this by designing a swarm-optimized machine learning defect prediction (SoMLDP) model ...
Madhusmita Das, Biju R. Mohan, Ram Mohana Reddy Guddeti   +2 more
doaj   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

Improved Artificial Bee Colony Algorithm and its Application in Classification

, 2018
For improving the classification accuracy of the classifier, a novel classification methodology based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters selection.
Yu, Hongnian, Zhang, Xiguang, Wang, Haiquan, Wei, Jianhua, Wen, Shengjun   +4 more
core   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

An improved artificial bee colony-random forest (IABC-RF) model for predicting the tunnel deformation due to an adjacent foundation pit excavation

Underground Space, 2022
An improved artificial bee colony-random forest (IABC-RF) model is proposed for predicting the tunnel deformation due to the excavation of an adjacent foundation pit.
Tugen Feng, Chaoran Wang, Jian Zhang, Bin Wang, Yin-Fu Jin   +4 more
doaj   +1 more source

Comparative Metaheuristic Optimization of PI Controllers for Electric Vehicle Speed Control

Engineering Reports, Volume 8, Issue 6, June 2026.
This paper presents the design, modeling, and simulation validation of an electric vehicle system, using speed variation as a reference to ensure optimal operation in terms of acceleration and deceleration. First, a conventional PI controller controls the vehicle's speed.
Samira Heroual, Belkacem Belabbas, Mohamed Metwally Mahmoud, Yasser Diab, Tayeb Allaoui, Vojtech Blazek, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Galal F. Abdelaal   +8 more
wiley   +1 more source

Optimizing Cybersecurity Attack Detection in Computer Networks: A Comparative Analysis of Bio-Inspired Optimization Algorithms Using the CSE-CIC-IDS 2018 Dataset

Applied Sciences
In computer network security, the escalating use of computer networks and the corresponding increase in cyberattacks have propelled Intrusion Detection Systems (IDSs) to the forefront of research in computer science.
Hadi Najafi Mohsenabad, Mehmet Ali Tut
doaj   +1 more source

Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization

The Scientific World Journal, 2014
Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga. It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony ...
Tinggui Chen, Renbin Xiao
doaj   +1 more source