A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks by Yuhong Wang

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Blockchain Approaches Survey for Big Data: Systematic Study, Challenges and Innovations by Sila Yavuz, Enes Korkmaz

“…So, the blockchain is reviewed in the present work for big data in a systematic structure based on artificial intelligence and machine learning models.…”
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A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…However, challenges such as data quality variability, algorithmic opacity, and scalability constraints persist. …”
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Systematic Review on the Use of CCPM in Project Management: Empirical Applications and Trends by Adriano de Oliveira Martins, Vanderlei Giovani Benetti, Fernando Elemar Vicente dos Anjos, Débora Oliveira da Silva, Charles Jefferson Rodrigues Alves

“…A growing trend has been identified toward integrating CCPM with methodologies, such as Scrum, BIM, Lean Construction, Fuzzy FMEA, and predictive algorithms, thereby broadening its applicability in high-complexity scenarios. …”
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Associations of DNA Methylation Algorithms of Aging With Cardiovascular Disease and Mortality Risk Among US Older Adults by Xian Cui, Shiqun Sun, Hui Zhang, Yulu Gong, Darong Hao, Yaqian Xu, Chongyu Ding, Jing Wang, Tongyan An, Jinlong Liu, Jun Du, Xiangwei Li

“…This study aimed to systematically investigate the associations of 12 widely used DNAm algorithms with CVD and mortality risk. …”
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Multi-Threshold Remote Sensing Image Segmentation Based on Improved Black-Winged Kite Algorithm by Yi Zhang, Xinyu Liu, Wei Sun, Tianshu You, Xin Qi

“…This paper proposes an adaptive multi-threshold image segmentation method named IBKA-OTSU to address the limitations of existing deep learning-based image segmentation methods, particularly their heavy reliance on large-scale annotated datasets and high computational complexity. The proposed algorithm significantly enhances the capability of complex remote sensing scenarios by systematic improvements to core algorithm components, including population initialization strategy, attack behavior patterns, migration mechanisms, and opposition-based learning strategy. …”
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Model-based estimation of tokamak plasma profiles and physics parameters: algorithm overview and application to ITER by S. Van Mulders, F. Felici, S.C. McIntosh, F. Carpanese, C.E. Contré, R. Coosemans, O. Kudláček, F. Pastore, S.D. Pinches, M. Reisner, O. Sauter

“…In this work, a model-based estimation algorithm is proposed to improve real-time and post-shot estimation of tokamak plasma profiles. …”
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Evidence-based perspective on heart failure and osteoporosis: a systematic review by V. N. Larina, E. S. Shcherbina, V. V. Dryutova, V. G. Larin

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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

“…In conclusion, a hybrid metaheuristic algorithm produced more efficient results emphasizing their efficacy. …”
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Enhanced Network Traffic Classification Using Bayesian-Optimized Logistic Regression and Random Forest Algorithm by Manisankar Sannigrahi, R. Thandeeswaran

“…The research evaluates four key machine learning algorithms: Random forest, logistic regression, support vector machine (SVM), and K-nearest neighbors (K-NN). …”
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Research on the application of a model combining improved optimization algorithms and neural networks in trajectory tracking of robotic arms by Yanhui Lai, Zuobing Chen, Ya Mao

“…This study presents an enhancement to the Mountain Gazelle Optimizer (MGO) and proposes a new optimization algorithm—Mapping Mountain Gazelle Optimizer (MMGO). …”
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High-Accuracy Linearity Measurement of Broadband Frequency Chirps by Bent Walther, Andre Froehly, Thomas Musch, Marcel van Delden

“…The algorithmic framework utilizes a virtual digital frequency chirp to detect RMS frequency errors in the sub-Hz range unprecedentedly. …”
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Artificial intelligence applications in the management of musculoskeletal disorders of the shoulder: A systematic review by Umile Giuseppe Longo, Martina Marino, Guido Nicodemi, Matteo Giuseppe Pisani, Jacob F. Oeding, Christophe Ley, Rocco Papalia, Kristian Samuelsson

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Integrated Machine Learning Algorithms-Enhanced Predication for Cervical Cancer from Mass Spectrometry-Based Proteomics Data by Da Zhang, Lihong Zhao, Bo Guo, Aihong Guo, Jiangbo Ding, Dongdong Tong, Bingju Wang, Zhangjian Zhou

“…By processing and normalizing serum polypeptide differential peaks from 240 patients, we employed eight distinct ML algorithms to classify and analyze these differential polypeptide peaks, subsequently constructing receiver operating characteristic (ROC) curves and confusion matrices. …”
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Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers by Jüri Reimand, Gary D Bader

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Antioxidants for the management of oral leukoplakia: A systematic review of randomized controlled trials by Divya Gopinath, Sara Ibrahim Waki, Kwok Fu Cheah, Swagatika Panda

“…Materials and methods: The present systematic review followed PRISMA guidelines and involved a thorough search of three scientific databases: PubMed, Scopus, and Cochrane. …”
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Cybersecurity and Major Cyber Threats of Smart Meters: A Systematic Mapping Review by Jones Márcio Nambundo, Otávio de Souza Martins Gomes, Adler Diniz de Souza, Raphael Carlos Santos Machado

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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine by Gowri Subadra K, Sathish Babu P

“…This study introduces a hybrid feature selection method based on genetic algorithm (GA) and Bucket of Models (BoM) approach to improve breast cancer detection and classification. …”
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AI-Powered systematic reviews in public and occupational health: Opportunities and ethical challenges by Francesco CHIRICO

“…While the benefits of AI are substantial, its integration into systematic reviews is not without challenges. Issues such as algorithmic bias, transparency, and the need for robust human oversight remain critical concerns. …”
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