A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…In recent years, Deepfake algorithms have been designed to exchange faces or modify facial features, potentially leading to more severe problems in this context. …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…So, the edible Hu sheep was chosen as the research object for meat sheep. We constructed a systematic biosignal detecting, processing, and modeling method. …”
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Comparative Study of Machine Learning Techniques for Insurance Fraud Detection by Navin Duwadi, Anita Sharma

“…This paper comprehensively examines existing research through a systematic literature review. This review aims to identify previously attempted approaches and evaluate which machine learning algorithm is best suited for this specific problem. …”
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Method of Syntactic Analysis of Chinese Sentences on Topical Components by K. E. Kotcik

“…The question is raised about the possibility of creating a holistic, systematic and self-sufficient method of syntactic analysis without relying on the concept of European grammatical tradition.…”
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PROGNOSTIC VALUE OF DIFFERENT OBESITY MARKERS FOR CARDIOVASCULAR RISK ASSESSMENT IN URBAN EMPLOYED MONGOLIANS by K. V. Protasov, T. Myagmarsuren

“…By ROC-analysis we revealed the obesity-related markers with the best diagnostic accuracy for elevated/high cardiovascular risk assessed by the Systematic Coronary Risk Evaluation, Framingham Heart Study and Atherosclerotic Cardiovascular Disease risk algorithms. …”
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The Use of Game Theory for Making Rational Decisions in Business Negations: A Conceptual Model by Kęstutis Peleckis

“…In order to create an algorithm of negotiations statements on theory of graphs, game theory and theory of heuristic algorithm were applied. …”
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Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis by Chao Tan, Hao Liu, Zhen Zhang, Xinyu Liu, Yinquan Ai, Xiumin Wu, Enlin Jian, Yongyan Song, Jin Yang

“…ObjectiveDespite growing interest in the application of machine learning (ML) in proteomics, a comprehensive and systematic mapping of this research domain has been lacking. …”
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Krylov diagonalization of large many-body Hamiltonians on a quantum processor by Nobuyuki Yoshioka, Mirko Amico, William Kirby, Petar Jurcevic, Arkopal Dutt, Bryce Fuller, Shelly Garion, Holger Haas, Ikko Hamamura, Alexander Ivrii, Ritajit Majumdar, Zlatko Minev, Mario Motta, Bibek Pokharel, Pedro Rivero, Kunal Sharma, Christopher J. Wood, Ali Javadi-Abhari, Antonio Mezzacapo

“…Variational quantum algorithms can be used to prepare ground states on pre-fault-tolerant quantum processors, but their lack of convergence guarantees and impractical number of cost function estimations prevent systematic scaling of experiments to large systems. …”
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Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Subsequently, focusing only on genes identified through the inclusive threshold, we employed 19 diverse ML techniques to explore the common genes that contributed to the top three selected ML algorithms and the shared genes that had an impact on the ML algorithms and were observed in the meta-analysis using the stringent condition were selected. …”
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A Review of Vehicle Accident Detection and Notification Systems Based on Machine Learning Techniques by Duaa Hadi Nassar, Jamal Mustafa Al-Tuwaijari

“…A lot of researchers and specialists turn to electronic systems based on machine learning, deep learning techniques algorithms or any other artificial intelligence methods to detect and generate an emergency signal can reduce the time gap between the accident happening and the arrival of medical help. …”
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The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…It is concluded that the introduction of AI into project management should be based on a systematic approach, represented by training team members, adapting existing processes, and ensuring the transparency of algorithms. …”
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Electronic News Dataset for Native Advertisement Detection by Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan, Diana Purwitasari

“…This paper elucidates a systematic approach to data collection and annotation, aiming to construct a specialized dataset poised to significantly enhance native ads detection efforts. …”
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Neutrosophic Cognitive Maps to Analyze Barriers and Opportunities in the Development of Critical Thinking through Inquiry Strategies in Public Universities by Betsy Maryetta Quispe Baca, Adán Humberto Estela Estela, Vladímir Bendezú Pérez, Yessika Madelaine Abarca Arias, Manuel Cesar Vildoso Villegas, Pierre Sean Rojas Padilla, Juvita Dina Soto Hilario

“…Through a rigorous methodological design that includes systematic data collection and the use of specialized algorithms, the study seeks to uncover the hidden dynamics that affect the adoption of these pedagogical strategies. …”
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Delirium in tetanus patients: a review of clinical features, pathophysiology, and integrated management strategies by Yanwei Rao, Xinzao Xu, Lijing Chen, Di Wang, Lin Liu, Tingting Jiang, Yang Chen, Yongjie Wang

“…Large-scale prospective studies are essential to validate proposed management algorithms and refine evidence-based treatment protocols. …”
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Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Machine learning offers promising solutions for automated detection, but systematic algorithm comparison using clinically validated data remains limited. …”
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Empowering drones in vehicular network through fog computing and blockchain technology. by Shivani Wadhwa, Divya Gupta, Shalli Rani, Maha Driss, Wadii Boulila

“…The contribution includes a systematic architecture design and integration of blockchain technology for secure data storage. …”
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Knowing Your Users by Heart: A Critical Examination of the Scientific Research on Emotions Conducted by Social Media Platforms by Camille Alloing, Elsa Fortant, Julien Pierre, Fabien Richert, Rémi Palisser

“…In this study, we present a systematic and critical analysis of the scientific literature published by the research teams of Meta (Facebook, Instagram) and Google (YouTube) regarding the analysis and processing of their users’ emotions. …”
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Quark masses and mixing in string-inspired models by Andrei Constantin, Cristofero S. Fraser-Taliente, Thomas R. Harvey, Lucas T. Y. Leung, Andre Lukas

“…The string-theoretic origin imposes a particular charge pattern on the SM fields and FN singlets, dividing the latter into perturbative and non-perturbative types. Employing systematic and heuristic search strategies, such as genetic algorithms, we identify charge assignments and singlet VEVs that replicate the observed mass and mixing hierarchies in the quark sector, and subsequently refine the Yukawa matrix coefficients to accurately match the observed values for the Higgs VEV, the quark and charged lepton masses and the CKM matrix. …”
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Immersive Technologies in the Educational Practice of Russian Universities by D. P. Ananin, A. Yu. Suvirova

“…The paper provides a systematic overview of the educational practices of Russian universities in the use of ImT in teaching. …”
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Optimization of sports injury treatment through artificial intelligence: Methods for effective prevention, diagnosis and rehabilitation by Kimi Milić Marko, Sinanović Šćepan, Jestrović Vladimir

“…The research methodology includes big data analysis, image processing, machine learning, and customized algorithms for prediction and rehabilitation monitoring. …”
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