Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

Get full text

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology by Yanni Wang, Wisit Cheungpasitporn, Hatem Ali, Jianbo Qing, Charat Thongprayoon, Wisit Kaewput, Karim M. Soliman, Zhengxing Huang, Min Yang, Zhongheng Zhang

“…Nonetheless, challenges including data quality, limited external validation, algorithmic bias, and poor interpretability constrain the clinical reliability of AI/ML models. …”
Get full text

Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…This study evaluates various base ML algorithms and stacking ensemble classifiers (meta-classifiers) using data from 90 groundwater samples collected in District Bagh, Azad Kashmir, Pakistan. …”
Get full text

Internet of Things Based Application Placement Technique in Fog Environment by N Malathy, M Ruba, S Vinothini

“…Despite its potential, the rapid increase in IoT applications with diverse resource and quality-of-service (QoS) requirements presents significant challenges in application deployment and resource optimization. …”
Get full text

A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

“…Utilizing a range of machine learning (ML) algorithms, our research applies multi-classification, data augmentation, and binary classification techniques to evaluate student outcomes effectively. …”
Get full text

Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education by Xueling Zhu, Roben A Juanatas

“…Although this method faces challenges such as technical accuracy, device dependency, and privacy protection, it has the potential to improve teaching effectiveness, optimize personalized learning, and promote teacher-student interaction. The application prospects of this method in medical education are broad, and it is expected to significantly enhance teaching quality and students’ learning experience.…”
Get full text

A Comprehensive Benchmarking Framework for Sentinel-2 Sharpening: Methods, Dataset, and Evaluation Metrics by Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa

“…The advancement of super-resolution and sharpening algorithms for satellite images has significantly expanded the potential applications of remote sensing data. …”
Get full text

Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…The proposed model demonstrated several advantages over conventional approaches: 1) Enhanced accuracy and relevance: The model ensured highly accurate and practically applicable results by carefully defining fitting parameters and incorporating engineering constraints. 2) Robust theoretical foundation: It was grounded in established mathematical theory and principles of fluid mechanics. 3) Practicality and efficiency: The model featured low implementation costs and high computational efficiency, presenting a viable and promising alternative for field evaluations. …”
Get full text

Metal artifact reduction combined with deep learning image reconstruction algorithm for CT image quality optimization: a phantom study by Huachun Zou, Zonghuo Wang, Mengya Guo, Kun Peng, Jian Zhou, Lili Zhou, Bing Fan

“…Background Aiming to evaluate the effects of the smart metal artifact reduction (MAR) algorithm and combinations of various scanning parameters, including radiation dose levels, tube voltage, and reconstruction algorithms, on metal artifact reduction and overall image quality, to identify the optimal protocol for clinical application. …”
Get full text

Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…The overall goal of this study is to evaluate the state of knowledge management in audiovisual archival organizations in Iran, and the results will serve as the basis for developing a knowledge management strategy in these centers. …”
Get full text

The Application of Atom-ＲQEA in Calculation of Short Term Flicker Severity by ZHANG Ｒui, ZHANG Heng-yu, ZHOU Yong-yang, DING Peng

“…Short term flicker severity Pst is an important index of evaluating power quality． To improve precision of calculation Atom-ＲQEA is proposed． …”
Get full text

Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities by Weronika Jarych, Elżbieta Tokarczyk, Patryk Iglewski, Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Michał Kociński, Jan Reinald Wendt

Get full text

Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization by Amir Mohamed Talib, Areen Metib Al-Hgaish, Rodziah Binti Atan, Abdulaziz Alshammari, Fahad Omar Alomary, Razali Yaakob, Abdulaziz Alsahli, Mohd Hafeez Osman

“…The framework comprises six key criteria: Data Quality and Management (DQM), Algorithm Performance and Optimization (APO), Interpretability and Explainability (IE), Regulatory Compliance and Ethical Considerations (RCEC), Computational Efficiency and Scalability (CES), and Validation and Experimental Confirmation (VEC). …”
Get full text

Super-resolution reconstruction technology and its application on intelligent terminal device by Guqiao ZHU, Chao JIANG, Yuye XU

Get full text

Assessing the Quality of Calyx of Physalis alkekengi L. var. franchetii Based on Quantitative Analysis of Q-Marker Combined with Chemometrics and Machine Learning Algorithms by Meiqi Liu, Ziying Qiu, Xiaoran Zhao, Lili Sun, Lizhi Wang, Xiaoliang Ren, Yanru Deng

Get full text

Sentiment Analysis of User Reviews of the KitaLulus Application on Google Play Store using the Support Vector Machine (SVM) Algorithm by Ahmad Syaifudin Agil Rafsanjani, Diana Laily Fithri, Supriyono Supriyono

“…The advancement of digital technology has driven the increasing use of job search applications such as KitaLulus. User reviews on the Google Play Store serve as a crucial source for evaluating service quality and user satisfaction. …”
Get full text

Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model by Heng Cao, Qianhui Gao

“…The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. …”
Get full text

Metrological evaluation and classification of porosity in metal additive manufacturing using X-ray computed tomography by Ibon Holgado, Naiara Ortega, José A. Yagüe-Fabra, Soraya Plaza, Herminso Villarraga-Gómez

Get full text

Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…This study focuses on multivariate data mining-driven algorithms, and is committed to the design and application of a TCM teaching resource recommendation system. …”
Get full text

Application of Improved MDSMOTE and FC-SVM in Imbalanced Data Set Classification by WEN Xue-yan, ZHAO Li-ying, XU Ke-sheng, LU Guang

Get full text