Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…Moreover, the special cases of proposed aggregation operators (AOs) and their validity are discussed. An intelligent algorithm is provided involving prioritization of attributes and experts based on proposed AOs to evaluate the multi-criteria group decision-making (MCGDM) problem, particularly in assessing teaching quality. …”
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Advancing AI in Higher Education: A Comparative Study of Large Language Model-Based Agents for Exam Question Generation, Improvement, and Evaluation by Vlatko Nikolovski, Dimitar Trajanov, Ivan Chorbev

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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…The power management controller is a combination of the twisting sliding-mode controller (TSMC) and Modified Pufferfish Optimization Algorithm (MPOA). The proposed method is implemented, and the application results are matched with the Mountain Gazelle Optimizer (MSO) and Beluga Whale Optimization (BWO) Algorithm by evaluating the PV power output, EV power, battery-power and battery-energy utilization, grid power, and grid price to show the merits of the proposed work.…”
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Enhanced water quality prediction: Application of deep neural networks and adaptive neuro-fuzzy inference systems to assess calcium concentration by Moussa Attia, Zied Driss, Hany F. Abd-Elhamid, Ridha Ennetta

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An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

“…The binary version of CLESQ-ZOA is applied to twelve feature selection benchmark datasets to demonstrate its effectiveness in real-world applications. Besides, CLESQ-ZOA has been applied to Hepatocellular Carcinoma to further evaluate its effectiveness. …”
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Scheduling and Evaluation of a Power-Concentrated EMU on a Conventional Intercity Railway Based on the Minimum Connection Time by Yinan Wang, Limin Xu, Xiao Yang, Jingjing Bao, Feng Lin, Yiwei Guo, Yixiang Yue

“…In the second stage, an improved ant colony algorithm is designed to arrange and combine the internal running lines in each plan to improve the search quality and convergence speed, which changes the pheromone volatilization coefficient with iteration. …”
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Evaluating the Effect of Thermal Treatment on Phenolic Compounds in Functional Flours Using Vis–NIR–SWIR Spectroscopy: A Machine Learning Approach by Achilleas Panagiotis Zalidis, Nikolaos Tsakiridis, George Zalidis, Ioannis Mourtzinos, Konstantinos Gkatzionis

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A Layered Software Architecture for the Development of Smart Mobile Distributed Systems Oriented to the Management of Emergency Cases by Lizbeth Yesenia Contreras Rivas, Eduardo López Domínguez, Yesenia Hernández Velázquez, Saúl Domínguez Isidro, María Auxilio Medina Nieto, Jorge De La Calleja

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Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

“…This popular and fast-developing technology aims to increase vehicle safety through various sensors and advanced-level Artificial Intelligence (AI)- based algorithms. The camera is one of the vital components of AM systems, which captures real-time videos, processes, encodes, packetizes and transfers them to different processing units for further applications. …”
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Application of Extra-Trees Regression and Tree-Structured Parzen Estimators Optimization Algorithm to Predict Blast-Induced Mean Fragmentation Size in Open-Pit Mines by Madalitso Mame, Shuai Huang, Chuanqi Li, Jian Zhou

“…Lastly, an interactive web application has been developed to assist engineers with the timely prediction of MFS. …”
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Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation by Ramin Ansari, Sorayya Rezayi, Ali Asghar Safaei, Reza Mollazadeh, Eisa Rezaei, Mahboobeh Khabaz Mafinejad, Soha Namazi, Keyhan Mohammadi

“…Dart programming language, the Flutter framework, and the Visual Studio editor were used to develop the application. Finally, the uMARS questionnaire was used to evaluate the application quality. …”
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Development of software interface for AI-driven weed control in robotic vehicles, with time-based evaluation in indoor and field settings by G C Sunil, Arjun Upadhyay, Xin Sun

“…Moreover, a grid map creation algorithm using YOLOv4 deep learning algorithm was evaluated to control the nozzles of the robotic platform. …”
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Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification by Chen Zhang, Fazhi Song, Yang Liu

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A novel hybrid genetic algorithm and Nelder-Mead approach and it’s application for parameter estimation [version 3; peer review: 2 approved, 1 approved with reservations] by Neha Majhi, Rajashree Mishra

“…It is first tested on 15 benchmark functions commonly used to evaluate optimization strategies. The effectiveness of GANMA is also demonstrated through its application to parameter estimation problems, showcasing its practical utility in real-world scenarios. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…ABSTRACT The increasing knowledge of microbial ecology in food products relating to quality and safety and the established usefulness of machine learning algorithms for anomaly detection in multiple scenarios suggests that the application of microbiome data in food production systems for anomaly detection could be a valuable approach to be used in food systems. …”
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A Dynamic Precision Evaluation System for Physical Education Classroom Teaching Behaviors Based on the CogVLM2-Video Model by Chao Liu, Fan Yang, Chengyu Ge, Zhiyu Shao

“…Analyses of teaching behaviors in physical education (PE) classrooms are critical for evaluating teaching quality. Traditional evaluation methods primarily rely on manual analysis, which suffers from complex coding procedures, low efficiency, and suboptimal accuracy, hindering long-term sustainability in teaching quality improvement. …”
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Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease by Ruijie Zhao, Yun Wang, Jiaru Wang, Zixing Wang, Ran Xiao, Ying Ming, Sirong Piao, Jinhua Wang, Lan Song, Yinghao Xu, Zhuangfei Ma, Peilin Fan, Xin Sui, Wei Song

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Multi-source 3D point clouds fusion for potential rock mass hazard evaluation in high-steep rock slopes by W. Yuan, C. Liu, C. Liu, T. Wang, B. Adriano, H. Bao, R. Shibasaki, S. Koshimura

“…Accurate characterization and evaluation of hazardous rockmass sources prove essential for rockfall risk mitigation. …”
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Evaluation of inflammatory bowel disease-related sleep disorders based on an interpretable machine learning approach: a multicenter study in China by Jiayi Sun, Junhai Zhen, Chuan Liu, Changqing Jiang, Jie Shi, Kaichun Wu, Weiguo Dong

“…Conclusion: The construction of risk assessment models using ML has high clinical value in the prediction of IBD-related sleep disorders, and the efficacy of its application suggests it can serve as a promising evaluation tool in clinical work.…”
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Solving the problem of power ripples for a multi-rotor wind turbine system using fractional-order third-order sliding mode algorithms by Habib benbouhenni, Adil Yahdou, Abdelkadir Belhadj Djilali, Nicu Bizon, Ilhami Colak, Z. M. S. Elbarbary, Muneer Parayangat

“…The results show the superior dynamic performance of the developed algorithm in terms of enhancing the quality of active power (37.99%, 55.04%, and 44.44%) and reactive power (49.17%, 27.27%, and 30.87%) in the two tests compared to the DPC. …”
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