Division of a Natural Number by Two: A Cellular Automata-Based Approach by Mohammad Zeynali Azim, Babak Anari, Saeid Alikhani, Bagher Zarei

“…Experimental results indicate that D2CA has an average of 28.11% less execution time than the Replacement algorithm. Also, some mathematical properties of D2CA are analyzed, and as a case study, the application of D2CA in cryptography is investigated.…”
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ThresholdFP: Enhanced Durability in Browser Fingerprinting by Elif Ecem Samlioglu, Sinan Emre Tasci, Muhammed Fatih Gulsen, Albert Levi

“…We propose, a novel linking algorithm designed to extend the durability of browser fingerprints without compromising precision. …”
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Predicting student performance academic using Automated Machine Learning (AutoML): in medical academic institutions by Rania A. Abougalala, Nouf Alharbi, Mohamed A. Amasha, Marwa F. Areed, Salem Alkhalaf, Dalia Khairy

“…The main aim herein is to determine the best and most accurate algorithms which would enable forecasting students' academic performance, and therefore allowing medical sector college's decision makers in amending admission systems and methods in selecting students through the use of statistics and grades that have been available in the last five years.…”
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A neuromorphic processor with on-chip learning for beyond-CMOS device integration by Hugh Greatorex, Ole Richter, Michele Mastella, Madison Cotteret, Philipp Klein, Maxime Fabre, Arianna Rubino, Willian Soares Girão, Junren Chen, Martin Ziegler, Laura Bégon-Lours, Giacomo Indiveri, Elisabetta Chicca

“…The processor provides a practical system for testing bio-inspired learning algorithms alongside emerging devices, establishing a tangible link between brain-inspired computation and cutting-edge device research.…”
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Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. …”
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Early rehabilitation of cancer patients after endoprosthetic reconstruction following resection of the lower extremity long bones by A. V. Bukharov, E. V. Filonenko, D. A. Erin, V. A. Derzhavin, A. V. Yadrina, A. M. Shatalov, D. O. Elkhov, M. D. Aliev

“…Further studies are needed to optimize rehabilitation techniques and develop new algorithms for the treatment of cancer patients who underwent endoprosthetic reconstruction following resection of the lower extremity long bones.…”
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Revolutionizing educational decision-making: a robust machine learning mechanism for predicting student performance by Muhammad Nadeem Gul, Waseem Abbasi, Muhammad Yaqoob Wani

“…A supervised machine learning approach, specifically the random forest algorithm, was employed to build the prediction model. …”
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NEW APPROACHES IN TREATMENT OF PATIENTS WITH PERFORATED DUODENAL ULCER by P. N. Romashchenko, N. A. Maistrenko, A. E. Korovin, S. A. Sibirev, P. A. Sidorchuk

“…The results of conducted clinical study showed that in order to establish the correct preoperative diagnosis and the choice of rational treatment of patients with perforated duodenal ulcer it is necessary to conduct a purposeful complex investigation, including an assessment of general somatic state and the operative-anaesthetic risk of patients and changes of pyloroduodenal zone and the severity of peritonitis and prediction of lethality. The diagnostic algorithm let the authors make a diagnosis of perforated duodenal ulcer before the operation and decide on an adequate volume of surgical intervention. …”
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Transformer-based long-term predictor of subthalamic beta activity in Parkinson’s disease by Salvatore Falciglia, Laura Caffi, Claudio Baiata, Chiara Palmisano, Ioannis Ugo Isaias, Alberto Mazzoni

“…Our study paves the way for remote monitoring strategies and the implementation of new algorithms for personalized auto-tuning aDBS devices.…”
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An Unbiased Feature Estimation Network for Few-Shot Fine-Grained Image Classification by Jiale Wang, Jin Lu, Junpo Yang, Meijia Wang, Weichuan Zhang

“…Extensive experiments on the FSFGIC tasks demonstrate the effectiveness of the proposed algorithm, showing a notable improvement in classification accuracy.…”
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Research on Road Sense Simulation Control of Steering-by-Wire Based on Sliding Mode Control by Suojun Hou, Kang An, Zhu An Zheng, Yaning Qin, Qichang Xie

“…On this basis, a sliding mode control algorithm is developed to achieve the necessary road-sensing motor current, guaranteeing system stability and rapid response across various driving scenarios. …”
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Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing by Tristan P. Wallis, Anmin Jiang, Kyle Young, Huiyi Hou, Kye Kudo, Alex J. McCann, Nela Durisic, Merja Joensuu, Dietmar Oelz, Hien Nguyen, Rachel S. Gormal, Frédéric A. Meunier

“…Here, we use the R-tree spatial indexing algorithm to determine the overlap of the bounding boxes of individual molecular trajectories to establish membership in nanoclusters. …”
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Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques by Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris

“…Five machine learning algorithms—k-nearest neighbors, random forest, logistic regression, decision trees, and neural networks—were applied to identify correlations between courses and predict grades. …”
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Enhancing the Dorsal Side of Fingers Using An Image Enhancement Technique with FPGA Output Comparison by Tan Shu Han, Imran Riaz, Ahmad Nazri Ali

“…For image enhancement, the Histogram Equalization (HE) method is chosen due to the less complex algorithm, especially when evaluating the performance on the FPGA platform. …”
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Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer by Chenggang Zhang, Fangqi Chen, Jie Li, Yixuan He, Juan Sun, Zicheng Zheng, Guanmo Liu, Yihua Wang, Weiming Kang, Xin Ye

“…CellChat algorithm was utilized to evaluate interactions between cells. …”
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ODIASP: An Open‐Source Software for Automated SMI Determination—Application to an Inpatient Population by Katia Charrière, Antoine Ragusa, Béatrice Genoux, Antoine Vilotitch, Svetlana Artemova, Charlène Dumont, Paul‐Antoine Beaudoin, Pierre‐Ephrem Madiot, Gilbert R. Ferretti, Ivan Bricault, Eric Fontaine, Jean‐Luc Bosson, Alexandre Moreau‐Gaudry, Joris Giai, Cécile Bétry

“…ODIASP combines two algorithms to automate L3 slice selection and skeletal muscle segmentation, ensuring a seamless process. …”
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Bone reporting and data system on CT (Bone-RADS-CT): a validation study by four readers on 328 cases from three local and two public databases by Yue Xing, Defang Ding, Shun Dai, Yangfan Hu, Xianwei Liu, Liangjing Lyu, Guangcheng Zhang, Shiqi Mao, Qian Yin, Junjie Lu, Jiarui Yang, Yang Song, Huan Zhang, Chengzhou Li, Weiwu Yao, Jingyu Zhong

“…Each lesion with gender, age, and clinical history was categorized according to the Bone-RADS algorithm by two musculoskeletal radiologists and two non-musculoskeletal radiologists. …”
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Acoustic-based machine learning approaches for depression detection in Chinese university students by Yange Wei, Yange Wei, Shisen Qin, Fengyi Liu, Rongxun Liu, Yunze Zhou, Yuanle Chen, Xingliang Xiong, Wei Zheng, Guangjun Ji, Yong Meng, Fei Wang, Fei Wang, Ruiling Zhang

“…Among five machine learning algorithms, LDA model demonstrated the highest classification performance, with an AUC of 0.771. …”
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Layer-by-Layer Multifractal Scanning of Optically Anisotropic Architectonics of Blood Plasma Films: Fundamental and Applied Aspects by Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Mykhaylo Gorsky, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Olexander Salega, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

“…In the proposed model, algorithms were developed to relate the real and imaginary parts of the complex elements of the Jones matrix to the theziograms of linear and circular birefringence. …”
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Single-cell transcriptomics and machine learning unveil ferroptosis features in tumor-associated macrophages: Prognostic model and therapeutic strategies for lung adenocarcinoma by Ting Ji, Ting Ji, Juanli Jiang, Juanli Jiang, Xin Wang, Xin Wang, Kai Yang, Kai Yang, Shaojin Wang, Shaojin Wang, Bin Pan, Bin Pan

“…Eight machine learning algorithms (LASSO, SVM, XGBoost, etc.) were leveraged to identify prognostic genes and build a Cox regression risk model. …”
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