JorGPT: Instructor-Aided Grading of Programming Assignments with Large Language Models (LLMs) by Jorge Cisneros-González, Natalia Gordo-Herrera, Iván Barcia-Santos, Javier Sánchez-Soriano

“…This paper explores the application of large language models (LLMs) to automate the evaluation of programming assignments in an undergraduate “Introduction to Programming” course. …”
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Mixed Sequence Reader: A Program for Analyzing DNA Sequences with Heterozygous Base Calling by Chun-Tien Chang, Chi-Neu Tsai, Chuan Yi Tang, Chun-Houh Chen, Jang-Hau Lian, Chi-Yu Hu, Chia-Lung Tsai, Angel Chao, Chyong-Huey Lai, Tzu-Hao Wang, Yun-Shien Lee

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Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps by Attaporn Khaesawad, Yosuke Fukuchi, Vibol Yem, Nobuyuki Nishiuchi

“…This study aims to automatically assess the programming logic understanding level (PLUL) during introductory programming courses. …”
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Canopy Temperature Estimation Using Gene Expression Programming Models and Artificial Neural Networks by Mehri Saeidinia, AmirHameh Haghiabi

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Feasibility exploration analysis of AR virtual verification method of civil aircraft maintenance program by SUN Hongli, WANG Hongchao, ZHANG Yajie, QIAO Wanxin, ZHAO Xincan

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Evaluation of a Novel Method of Fuze Programming Based on the Number of Projectile Own Revolutions by Wojciech FURMANEK, Józef GACEK, Grzegorz JĄCZEK

“…The proposed innovative method of fuse programming was compared to other known methods of fuse programming based on the results of a computer simulation of firing a 40 mm grenade launcher under near-real conditions. …”
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Synthesis of program angular motions of the Earth remote sensing spacecraft with high spatial resolution by S. Yu. Gorchakov

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A generalized behavioral-based goal programming approach for decision-making under imprecision by Mohamed Sadok Cherif

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Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillers by Ayesha Rauf, Usama Asif, Kennedy Onyelowe, Muhammad Faisal Javed, Hisham Alabduljabbar

“…This study proposed a robust soft computing technique using gene-expression programming (GEP) to enhance the usability of sustainable alternatives in concrete. …”
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A Fundamental Statistics Self-Learning Method with Python Programming for Data Science Implementations by Prismahardi Aji Riyantoko, Nobuo Funabiki, Komang Candra Brata, Mustika Mentari, Aviolla Terza Damaliana, Dwi Arman Prasetya

“…Unfortunately, conventional statistics learning often lacks practice in real-world applications using computer programs, causing a separation between conceptual knowledge of statistics equations and their hands-on skills. …”
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Implementation of New Technologies in an Aged Care Social Day Program: Mixed Methods Evaluation by Dannielle Post, Kathleen Whitson, Gaynor Parfitt

“…This evaluation is situated in a Social Day Program, delivered by an aged care organization. It is designed to cater for people living with dementia, located in an environment equipped with new technologies including age-specific interactive computer gaming, social robots, sensory stimulation, and virtual reality. …”
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Genetic programming support vector machine model for a wireless intrusion detection system by A. Dhoot, A. N. Nazarov, I. M. Voronkov

“…Using the achievements of artificial intelligence in the fight against attacks, the authors proposed a method based on a combination of the genetic programming support vector machine (GPSVM) model using an unbalanced CICIDS2017 dataset.Results. …”
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Evaluation of a Simulation Program for Providing Telenursing Training to Nursing Students: Cohort Study by Ola Ali-Saleh, Layalleh Massalha, Ofra Halperin

“…By providing comprehensive preparation, educational programs can equip students to deliver optimal remote care services. …”
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Enhancing computational efficiency in solving Knapsack problem: insights from algorithmic parallelization and optimization by Bashar Bin Usman, Okeyinka Aderemi Elisha, Ibrahim Abdullahi, Idris Rabiu, Adamu Isah, Abdulganiyyu Abdulrahman

“…Through analysis and experimental runs using Halstead metrics and time complexity measures, significant improvements in the enhanced algorithms compared to classical approaches were revealed, particularly in terms of program complexity and computational speed. Notably, the enhanced algorithms demonstrated superior time complexity across varying input sizes, indicating their potential as more efficient solutions for the Knapsack Problem. …”
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Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis by Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

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Limit state analysis of asymmetrical microstructures based on yield design computational homogenization approach by Phuc L. H. Ho, Canh V. Le, Phuong H. Nguyen, Chanh T. Ngo

“…The polynomial interpolations are employed to impose the periodic boundary conditions for the fluctuating term of the displacement field when using arbitrary finite element meshes. Second-order cone programming provides an efficient solution to solve the resulting optimization problems, and accurate load multipliers can be obtained with the minimum computational cost. …”
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Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization by Guillermo Barragan, Sebastian Atarihuana, Edgar Cando, Victor Hidalgo

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Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment by Maria de Fátima Araújo Alves, Héliton Pandorfi, Rodrigo Gabriel Ferreira Soares, Gledson Luiz Pontes de Almeida, Taize Calvacante Santana, Marcos Vinícius da Silva

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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

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ON COMPUTATIONAL BAYESIAN ORDINAL LOGISTIC REGRESSION LINK FUNCTION IN CASES OF CERVICAL CANCER IN TUBAN by Nur Mahmudah, Fetrika Anggraini

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