Bio-Impedance Analysis of Human Upper Limbs Based on Transient Simulation Using the Finite Element Method by Enver Salkim, Tayfun Abut

“…<b>Method:</b> The 3D realistic human upper arm model was developed based on the image data set. …”
Get full text

Enhancing Accuracy in Hourly Passenger Flow Forecasting for Urban Transit Using TBATS Boosting by Madhuri Patel, Samir B. Patel, Debabrata Swain, Rishikesh Mallagundla

“…The model is trained on a five-year real-world dataset from e-ticketing machines (ETM) in Thane Municipal Transport (TMT), incorporating holiday and pandemic-related variations. …”
Get full text

SLC3A2 as a key anoikis−related gene for prognosis and tumor microenvironment remodeling in melanoma by Xiaojin Liu, Jiaheng Xie, Yingying Xiao

“…A total of 150 anoikis-related genes were identified, and 101 machine learning algorithms and their combinations (including Cox regression, random survival forest, and gradient boosting machine) were systematically evaluated to identify the optimal prognostic model. …”
Get full text

Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty by Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud

“…This study presents a comprehensive machine learning (ML)-based approach for SoC estimation of EV LiBs, addressing the challenges of model reliability, uncertainty, and real-world data variability. …”
Get full text

Predicting Sugarcane Yield Through Temporal Analysis of Satellite Imagery During the Growth Phase by Julio Cezar Souza Vasconcelos, Caio Simplicio Arantes, Eduardo Antonio Speranza, João Francisco Gonçalves Antunes, Luiz Antonio Falaguasta Barbosa, Geraldo Magela de Almeida Cançado

“…These findings highlight the potential of these models to support informed decision-making and optimize agricultural practices, providing valuable insights for precision farming. …”
Get full text

Acute kidney disease in hospitalized pediatric patients: risk prediction based on an artificial intelligence approach by Lingyu Xu, Siqi Jiang, Chenyu Li, Xue Gao, Chen Guan, Tianyang Li, Ningxin Zhang, Shuang Gao, Xinyuan Wang, Yanfei Wang, Lin Che, Yan Xu

“…Predictive models were constructed using eight machine learning algorithms and two ensemble algorithms, with the optimal model identified through AUROC. …”
Get full text

Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…Feature engineering can enhance the performance of interpretable models by identifying features that optimize classification. …”
Get full text

Hybridization of SMILES and chemical-environment-aware tokens to improve performance of molecular structure generation by Herim Han, Min Sun Yeom, Sunghwan Choi

Get full text

Research on cutting mechanism and process optimization method of gear skiving by Peng Wang, Yuanchao Ni, Xiaoqiang Wu, Jiaxue Ji, Geng Li, Jiahao Wu

Get full text

Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning by Liang Wang, PeiPei Zhang, Yanhui Feng, Wenzhi Lv, Xiangde Min, Zhiyong Liu, Jin Li, Zhaoyan Feng

“…We developed an AutoML method based on the tree-based pipeline optimization tool (TPOT) algorithm to construct a discriminant model. …”
Get full text

Performance Modeling of Data Storage Systems Using Generative Models by Abdalaziz R. Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn

“…In this study, we developed several models of a storage system using machine learning-based generative models to predict performance metrics such as IOPS and latency. …”
Get full text

Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…The results show that using optimal features coupling with a good classifier in a detection system able to reduce the classifier model building time, reduce the computational burden to analyze data, and consequently attain high detection rate.…”
Get full text

Swarm intelligence for energy-efficient heating, ventilation, and air conditioning (HVAC) systems: A case study in smart buildings by Vinoth Kanna I, Raja Subramani, Maher Ali Rusho, Shubham Sharma, Ramachandran T, Abinash Mahapatro, Deepak Gupta, Jasmina Lozanovic

“…Statistical validation through ANOVA and t-tests supported the energy and comfort gains with p-values always less than 0.05. The hybrid model also exhibited faster convergence, completing the optimization in 120 iterations, 20 % faster than ACO. …”
Get full text

Research on the Multi-Objective Optimal Design of Adjusting Mechanisms Considering Force Transmission Performance by Qi Yang, Mingxin Shan, Yangli Tian, Boyang Guan, Jingyu Zhai, Wei Sun

Get full text

Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments by Panagiotis D. Paraschos, Georgios Papadopoulos, Dimitrios E. Koulouriotis

Get full text

PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses by Xiaoyong Liu, Hui Fu

“…Disease diagnosis is conducted with a machine learning method. We have proposed a novel machine learning method that hybridizes support vector machine (SVM), particle swarm optimization (PSO), and cuckoo search (CS). …”
Get full text

An optimal federated learning-based intrusion detection for IoT environment by A. Karunamurthy, K. Vijayan, Pravin R. Kshirsagar, Kuan Tak Tan

“…However, these traditional procedures mainly focus on training the machine learning model through specific data and parameters. …”
Get full text

Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…These findings address important metaheuristic optimization gaps highlighting the model’s potential for power theft detection.…”
Get full text

A Novel Hybrid Network Traffic Prediction Approach Based on Support Vector Machines by Wenbo Chen, Zhihao Shang, Yanhua Chen

“…Then, SVM is applied to model training and fitting, and the parameters of SVM are optimized by PSO. …”
Get full text

Improvement of English-Chinese bilingual learning by integrating semantic analysis and neural machine translation by Yue Zhao, Qilin Wang

“…Abstract To improve the effectiveness of English-Chinese bilingual learning, this study introduces an optimization model that combines semantic analysis with neural machine translation (NMT). …”
Get full text