Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River by Elham Fazel Najafabadi, Paria Shojaei, Mojgan Askarizadeh

Get full text

Analysis of Drill String Whirling Characteristics Based on Near-Bit Measurement Data by Zhang Tao, Yang Zhenpeng, Li Jun, Wang Miaorui, Wang Mengfan, Guo Zixian

Get full text

Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

“…Results indicate that the dataset is highly well-suited for developing reliable models based on data. Analysis reveals that temperature exerts a considerable influence on density, with pressure also playing a critical role. …”
Get full text

Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning by Xianchang Zeng, Lingyun Wei, Lu Lv, Di Wu, Yingying Shen, Xinliang Lu, Xianghui Kong, Zhijian Cai, Jianli Wang, Jianli Wang

“…Single-cell RNA sequencing was further employed to evaluate the heterogeneity of immune cells. Machine learning algorithms were utilized to construct and identify diagnostic markers for LUAD, which were then validated by receiver operating characteristic (ROC) curve analysis. …”
Get full text

RETRACTED ARTICLE: Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics by Chunmei Chen

Get full text

Molecular feature-based classification of retroperitoneal liposarcoma: a prospective cohort study by Mengmeng Xiao, Xiangji Li, Fanqin Bu, Shixiang Ma, Xiaohan Yang, Jun Chen, Yu Zhao, Ferdinando Cananzi, Chenghua Luo, Li Min

“…The study sponsors had no role in the design and preparation of this manuscript. …”
Get full text

Assessing the distribution of nocturnal chlorophyll-a in the Northwest Pacific Ocean using ocean color and fishery echosounder acoustic data by Chuanyang Huang, Yang Liu, Jianchao Li, Hailing Wang, Yanping Luo, Honghai Zhang, Zhaohui Chen

“…Furthermore, we derived the nocturnal Chl-a in the Northwest Pacific Ocean based on diel 200 kHz frequency band data and Phytoplankton Size Class (PSC) algorithm. …”
Get full text

Advanced GIS-based Multi-Function Support System for Identifying the Best Route by Suhiar Mohammed Zeki Abd Alsammed

“… Geographic Information Systems (GIS) are obtaining a significant role in handling strategic applications in which data are organized as records of multiple layers in a database. …”
Get full text

An evaluation methodology for machine learning-based tandem mass spectra similarity prediction by Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, Mingxun Wang

Get full text

Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…The development of computer vision technology has allowed the development of technical vision systems that allow detec on and classifi ca on of skin diseases with a quality that is comparable and in some cases exceeds the values a ained by man.In this paper, the authors propose an algorithm for the primary diagnosis of skin melanoma based on deep neural networks, achieving an accuracy of 91% for melanoma in dermatoscopic images. …”
Get full text

Condition Monitoring System for Main Shaft Bolts in Wind Turbines Based on YOLOv11 by CHEN Huai, CHEN Yanan, LI Ziyuan, ZHANG Jiayou, QIN Long, SHU Hui

“…Abnormal condition monitoring of main shaft bolts plays a crucial role in ensuring the stable and efficient operation of wind turbines. …”
Get full text

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data by ShiJie Zhang, Chuxin Sima, TaiFu Hou

Get full text

Knowledge Acquisition for the Stunting Prevention Expert System (SIPENTING) using Decision Tree and Grid Search by Azhar Basir, Fitri Ayuning Tyas

“…The accuracy of the rule base plays a crucial role in ensuring reliable diagnostic results. …”
Get full text

On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…PAC VIC implemented the following functions: – automatic detection and classification of the major significant rope defects based on a deep convolutional artificial neural network; – demonstration of a three-dimensional image of a rope and an image scanning algorithm with distortion compensation, according to which the metric characteristics of defects were fixed; – integral assessment of the technical condition of the rope according to the totality of detected defects; – color interpretation of the actual technical condition of the rope with subsequent transmission to the user's mobile device. …”
Get full text

Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review by Muhammad Sabo Yahaya, Ahmad Sobri B. Hashim, Abdullateef Oluwagbemiga Balogun, Aminu Aminu Muazu, Fatima Sabo Usman, Dahiru Adamu Aliyu, Abdullahi Uwaisu Muhammad

“…This review systematically examines the role of metaheuristic algorithms in pairwise test case generation, focusing on their exploration and exploitation mechanisms to address local optima challenges. …”
Get full text

Design and assessment of AI-based learning tools in higher education: a systematic review by Jihao Luo, Chenxu Zheng, Jiamin Yin, Hock Hai Teo

“…This study addresses this gap through a systematic literature review with two main objectives: (1) to summarize the design features of AI-based learning tools currently employed in higher education, focusing on aspects such as algorithm types, training datasets, modes of information presentation, and their roles in the learning process; and (2) to assess their impacts on college students’ cognitive, skill-based, and affective learning outcomes. …”
Get full text

Optimal Structure to Maximize Torque per Volume for the Consequent-Pole PMSM and Investigating the Temperature Effect by Alireza Hosseinpour, Ahmed Abbas, Mahmoud Oukati Sadegh, Atif Iqbal, Aymen Flah, Lukas Prokop, Enas Ali, Ramy N. R. Ghaly

“…Afterward, the overload capability and the torque-speed characteristic are determined based on the average torque. Therefore, to maximize the torque/volume ratio, four metaheuristic optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), and Teaching Learn Base Optimization (TLBO), have been implemented, and the mentioned index is optimized. …”
Get full text

Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. To address these issues, a lightweight vehicle detection model is developed based on UAV aerial imagery. …”
Get full text

Correlation analysis between multi-category design arts based on principal component analysis model by Lili Wang

Get full text

Personalized game-based digital intervention for relieving depression and anxiety symptoms: a pilot RCT by Xiaojun Shao, Lu Liu, Xiaotong Zhu, Chunsheng Tian, Dai Li, Liqun Zhang, Xiang Liu, Yanru Liu, Gang Zhu, Lingjiang Li

“…Abstract This study assessed the preliminary effectiveness of a game-based digital therapeutics (DTx) intervention for depression and anxiety using a randomized controlled trial (RCT) design to examine the role of reinforcement learning (RL) personalization. …”
Get full text