Bi-objective green supply chain network design under disruption risk through an extended NSGA-II algorithm by Xiaoqing Wang, Gang Chen, Song Xu

Get full text

Improving Transformer Health Index Prediction Performance Using Machine Learning Algorithms with a Synthetic Minority Oversampling Technique by Muhammad Akmal A. Putra, Suwarno, Rahman Azis Prasojo

Get full text

Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…This research highlights the potential of combining multimodal imaging data with advanced computational algorithms to streamline medical imaging workflows. …”
Get full text

Tightly Coupled SLAM Algorithm Based on Similarity Detection Using LiDAR-IMU Sensor Fusion for Autonomous Navigation by Jiahui Zheng, Yi Wang, Yadong Men

“…In recent years, the rise of unmanned technology has made Simultaneous Localization and Mapping (SLAM) algorithms a focal point of research in the field of robotics. …”
Get full text

Assessing the Freeze–Thaw Dynamics With the Diurnal Amplitude Variations Algorithm Utilizing NEON Soil Temperature Profiles by Shaoning Lv, Tianjie Zhao, Yin Hu, Jun Wen

Get full text

Reduced-order estimation and optimisation of claw-shaped throttling notch via CFD analysis, surrogate models, and CCMO algorithm by Yuhang Zhang, Beichen Ding, Guishan Yan

“…At first, the RO-DASM is built to decouple multiparameter CSN flow rate-pressure drop (FR-PD) estimation into five simplified K-shaped notch (KSN) FR-PD estimations comparing four surrogate models. Thereafter, the RO-DASM and the CCMO algorithm are integrated for the CSN spool optimisation based on the CFD numerical simulation. …”
Get full text

Stochastic‐gradient‐based control algorithms for power quality enhancement in solar photovoltaic interfaced three‐phase distribution system by Dinanath Prasad, Narendra Kumar, Rakhi Sharma, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini

Get full text

Prevention of student attrition: a data-backed approach to school counselling using Delphi technique and multiple classification algorithms by Amiru Bakariwie, Dominic Asamoah, Abudu Ballu Duwiejuah

“…Five classification algorithms were deployed in modelling, using tenfold cross-validation. …”
Get full text

Longitudinal Tire Force Estimation Method for 4WIDEV Based on Data-Driven Modified Recursive Subspace Identification Algorithm by Xiaoyu Wang, Te Chen, Jiankang Lu

Get full text

A Subimage Autofocus Bistatic Ground Cartesian Back-Projection Algorithm for Passive Bistatic SAR Based on GEO Satellites by Te Zhao, Jun Wang, Zuhan Cheng, Ziqian Huang, Xueming Song

Get full text

Accurate estimation of CO2 adsorption on activated carbon with multi-layer feed-forward neural network (MLFNN) algorithm by Alireza Rostami, Mohammad Amin Anbaz, Hamid Reza Erfani Gahrooei, Milad Arabloo, Alireza Bahadori

Get full text

Design and analysis of parallel quantum transfer fractal priority replay with dynamic memory algorithm in quantum reinforcement learning for robotics by R. Palanivel, P. Muthulakshmi

“…These results highlight the potential of quantum computing to significantly advance autonomous vehicle technology by improving both efficiency and effectiveness in complex navigation tasks. Future research will focus on refining the algorithm and exploring its real‐world applications to enhance autonomous vehicle performance.…”
Get full text

SAER : Comparison of Rule Prediction Algorithms on Constructing a Corpus for Taxation Related Tweet Aspect-Based Sentiment Analysis by Annisa Mufidah Sopian, Ridwan Ilyas, Fatan Kasyidi, Asep Id Hadiana

“…Aspect extraction is an important task in sentiment analysis. In this research, we propose SAER, a Syntactic Aspect-opinion Extraction and Rule prediction, that used language rule-based approach using syntactic features for aspect and opinion extraction, and we compare several algorithm for rule prediction such as Random Forest Regression, Decision Tree Regression, K-Nearest Neighbor Regression (KNN), Linear Regression, Support Vector Regression (SVR), and Extreme Gradient Boosting Regression (XGBoost) that can generate rules with a tree-based approach. …”
Get full text

Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort by Chi-Pang Wen, Xifeng Wu, Qingfeng Hu, Huakang Tu, Shan Pou Tsai, David Ta-Wei Chu

Get full text

Developing Shuffled Frog-Leaping Algorithm (SFLA) Method to Solve Power Load-Constrained TCRTO Problems in Civil Engineering by Xingyu Tao, Heng Li, Chao Mao, Chen Wang, Jeffrey Boon Hui Yap, Samad Sepasgozar, Sara Shirowzhan, Timothy Rose

Get full text

Reliability analysis and pre-sizing of a switched-inductor-capacitor-based quadratic boost converter using genetic algorithm by Divya Navamani J, Lavanya A, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek

Get full text

Research on Grid-Connected Speed Control of Hydraulic Wind Turbine Based on Enhanced Chaotic Particle Swarm Optimization Fuzzy PID by Yujie Wang, Yang Cao, Zhong Qian, Jianping Xia, Xuhong Kang, Yixian Zhu, Yanan Yang, Wendong Zhang, Shaohua Chen, Guoqing Wu

Get full text

Mapping sugarcane plantations in Northeast Thailand using multi-temporal data from multi-sensors and machine-learning algorithms by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Jaturong Som-Ard, Alvaro Moreno-Martinez, Vorraveerukorn Veerachit, Jantima Polpinij, Kanokporn Rattanasuteerakul

Get full text

An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm by Yuan Jin, Yunliang Lai, Azadeh Noori Hoshyar, Nisreen Innab, Meshal Shutaywi, Wejdan Deebani, A. Swathi

“…The Seagull Optimization Algorithm (SOA) is introduced to optimize the trust depth network to achieve optimal network design. …”
Get full text

Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology by Huiya Xing, Xiangyi Li, Min Liu, Yicong Zhong

“…When compared to convolutional algorithms, the suggested approach specifically enhances accuracy and drastically lowers error. …”
Get full text