Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

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Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

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Structured Shared Spaces as a Basis for Building Business Process Support Systems: A Generic Model and Analysis of Examples by Ilia Bider, Paul Johannesson, Erik Perjons

“…Though the concept of shared spaces had been known in Groupware and Computer Supported Cooperative Work (CSCW) for quite a while, it did not become popular until the arrival of the Internet and social software. …”
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A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning by Thibaud Schaller, Jun Li, Karl W. Jenkins

“…A potential solution is to train the model on both synthetic and real images. Future work will focus on improving the framework’s performance and conducting a more comprehensive uncertainty analysis by utilizing larger and more diverse datasets, supported by enhanced computational power.…”
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A novel flexible identity-net with diffusion models for painting-style generation by Yifei Zhao, Ziqi Liang, Yingrui Qiu, Xiaona Wang

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A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things by M. Wasim Abbas Ashraf, Arvind R. Singh, A. Pandian, Rajkumar Singh Rathore, Mohit Bajaj, Ievgen Zaitsev

“…Device heterogeneity, computing resource constraints, and the ever-changing nature of cyber threats are a few of the obstacles that make detecting cyber threats in IoT systems difficult. …”
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EEG-Based Micro-Expression Recognition: Flexible Brain Network Reconfiguration Supporting Micro-Expressions Under Positive Emotion by Chen J, Zhao X, Xiong Z, Liu G

“…Jiejia Chen,1,2,* Xingcong Zhao,1,3,* Zhiheng Xiong,4 Guangyuan Liu1,2 1School of Electronic and Information Engineering, Southwest University, Chongqing, People’s Republic of China; 2Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, People’s Republic of China; 3West China Institute of Children’s Brain and Cognition, Chongqing University of Education, Chongqing, People’s Republic of China; 4School of Humanities, Southeast University, Nanjing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guangyuan Liu, Email liugy@swu.edu.cnPurpose: Micro-expression recognition is valuable in clinical, security, judicial, economic, educational, and human-computer interaction fields. …”
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Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

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A Comparative Analysis of Machine Learning Algorithms for Classification of Diabetes Utilizing Confusion Matrix Analysis by Maad M. Mijwil, Mohammad Aljanabi

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Discrimination of Chinese prickly ash origin place using electronic nose system and feature extraction with support vector boosting machine by Junbo Lian, Peng Wu, Wenhui Han, Yaping Xie, Yue Zheng, Yuxuan Xu, Xinlin Li, Guofeng Hou, Chengxiang Yong, Qi Lv, Qiansheng Ye, Guohua Hui

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Rethinking literary creativity in the digital age: a comparative study of human versus AI playwriting by Silvia Elias, Bunder Sebail Alshammari, Khaled Nasser Alfraidi, Khaled Mostafa Karam

“…This advancement has incited debate about whether these AI-generated works possess literary merit and originality comparable to Human-authored texts. …”
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Semantic Topic Modeling of Aviation Safety Reports: A Comparative Analysis Using BERTopic and PLSA by Aziida Nanyonga, Keith Joiner, Ugur Turhan, Graham Wild

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A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

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Improving the Performance of Electrotactile Brain–Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials by Marija Novičić, Olivera Djordjević, Vera Miler-Jerković, Ljubica Konstantinović, Andrej M. Savić

“…Traditional tactile brain–computer interfaces (BCIs), particularly those based on steady-state somatosensory–evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. …”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…Abstract Classification of indoor scenes is a crucial task of computer vision. It has widespread applications like smart homes, smart cities, robotics, etc. …”
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The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation by Carl Thompson, Teumzghi Mebrahtu, Sarah Skyrme, Karen Bloor, Deidre Andre, Anne Maree Keenan, Alison Ledward, Huiqin Yang, Rebecca Randell

“…Studies mostly measure different behaviours and outcomes, making comparing them hard. Theories explaining or predicting how decision support systems might work are not used enough when designing, implementing or evaluating CDSS. …”
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Impact of medical school on quality of life and mental health in Brazil: a cross-sectional comparative study by Marina Silveira de Resende, Isabelle Martins Santos, Eduardo Cardoso de Moura, Renata de Almeida Pedro, Marcelo Gobbo

“…To address these challenges, this study investigates the specific impact of medical education on students’ mental health and QoL, aiming to identify potential structural changes that could mitigate these negative outcomes.Design A cross-sectional study was conducted in private higher education institutions in Brazil.Setting Data were collected online via the QuestionPro platform in August 2024, encompassing 32 units located across 14 states and 4 geographic regions in Brazil.Participants The sample included 10 844 students, 33.7% of whom were enrolled in medicine and 66.3% in other fields (administration, agronomy, agribusiness, systems analysis and development, architecture, architecture and urbanism, biomedicine, computer science, accounting, economics, social communication/advertising and propaganda, law, physical education, nursing, civil engineering, computer engineering, production engineering, electrical engineering, mechatronics engineering, aesthetics and cosmics, pharmacy, physics, physiotherapy, speech, speech therapy, environmental management, commercial management, human resources management, financial management, history, Portuguese-English literature, logistics, marketing, mathematics, veterinary medicine, nutrition, dentistry, pedagogy, management processes, psychology, advertising and propaganda, computer networks, social work, information systems and theology). …”
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Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data by Nagelli Archana, Saleena B., Prakash B.

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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

“…While PSO achieves slightly lower error metrics, its iterative nature leads to higher and more variable computation times compared to the deterministic and rapid inference of AI approaches. …”
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Discovery of CMNPD31124 as a novel marine-derived PKMYT1 inhibitor for pancreatic ductal adenocarcinoma therapy: computational and biological insights by Chaojie Huang, Ting Wang, Rui Chen, Yunyun Xu

“…Despite these promising results, toxicity predictions indicate potential hepatotoxicity and neurotoxicity, highlighting the need for further structural optimization. This work lays a solid foundation for the rational design of PKMYT1 inhibitors by integrating computational methods with insights from marine natural products.…”
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