Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence by May Alrasheed, Mohamed Jmali, Thouraya Hamdi

“…It focuses on utilising ant colony algorithms for optimal balancing. The results show the significance of these algorithms in attaining optimal balancing in production systems. …”
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TPNet: A High-Performance and Lightweight Detector for Ship Detection in SAR Imagery by Weikang Zuo, Shenghui Fang

“…Traditional ship detection algorithms in SAR imagery using manually designed operators lack accuracy, while many existing deep learning-based detection algorithms are computationally intensive and have room for accuracy improvement. …”
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On the Effectiveness of the Minimization Approach to the Query Optimization by N. Mendkovich

“…It includes minimization algorithms based on “condition absorption”, prime implicants, and a set of linear inequalities minimization technics. …”
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Development of a technique to identify μm-sized organic matter in asteroidal material: An approach using machine learning by Rahul Kumar, Katsura Kobayashi, Christian Potiszil, Tak Kunihiro

“…On the approach of classification with machine learning, five algorithms were tested. The random forest algorithm was selected as it scored the highest in 4 out of 5 accuracy parameters during evaluation. …”
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Experimental investigation of shaft misalignment effects on bearing reliability through vibration signal analysis using machine learning and deep learning by Fransiskus Tatas Dwi Atmaji, Jamasri, Hari Agung Yuniarto, I Made Miasa

“…This setup enables systematic analysis of bearing vibration behaviour, representing a significant methodological advancement over prior studies that primarily rely on synthetic or public datasets. …”
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Statistical analysis of the migration situation and the factors affecting the Russian demographic expansion by Pavel E. Prokhorov, Nikita D. Epstein

“…It is obvious that their rationale is impossible without complex statistical studies that urgently require a systematic improvement of applied analysis algorithms associated with a comprehensive quantitative assessment of the characteristics and outcomes of territorial displacement of people. …”
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A Modular, Model, Library Framework (DebrisLib) for Non-Newtonian Geophysical Flows by Ian E. Floyd, Alejandro Sánchez, Stanford Gibson, Gaurav Savant

“…Numerical modelers have developed a variety of non-Newtonian algorithms to simulate this range of physical processes. …”
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Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning by Sijia Liu, Jiawei Luo, Chengqi He

“…Then, based on the key features screened out, a dynamic treatment recommendation system was constructed by using deep reinforcement learning algorithms, including Deep Deterministic Policy Gradien(DDPG), Deep Q-Network(DQN) and Batch-Constrained Q-learning(BCQ). …”
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Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs by Emil Attanasi, Philip Freeman, Timothy Coburn

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Computation strategies and clinical applications in neoantigen discovery towards precision cancer immunotherapy by Zhenchang Wang, Yu Gu, Xiao Sun, Hao Huang

“…We systematically evaluated recent advancements in neoantigen source characterization and prediction algorithms, with particular emphasis on innovative methods for HLA-peptide binding and TCR recognition developed. …”
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Thermal ablation in the management of oligometastatic colorectal cancer by Thierry De Baere, Lambros Tselikas, Alexandre Delpla, Charles Roux, Eloi Varin, Adrian Kobe, Steven Yevich, Frederic Deschamps

“…Ablation outcomes are compared to surgical and radiation therapy literature.Results The application of thermal ablation varies widely based on tumor burden, technical expertise, and local cancer triage algorithms. Ablation can be performed in combination or in lieu of other cancer treatments. …”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

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Precision in practice: exploring the impact of ai and machine learning on ultrasound guided regional anaesthesia by Noor Ul Huda Bhatti, Syed Ghazi Ali Kirmani, Maryam Butt

“…It is used to conduct predictive tasks without programming instructions by creating algorithms. Extensive research has been conducted to evaluate the influence of machine learning on innovative anaesthesia methods. …”
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Study on Correction Methods for GPM Rainfall Rate and Radar Reflectivity Using Ground-Based Raindrop Spectrometer Data by Lin Chen, Huige Di, Dongdong Chen, Ning Chen, Qinze Chen, Dengxin Hua

“…However, due to its spatial resolution limitations and inherent algorithmic assumptions, the accuracy of GPM precipitation estimates can exhibit systematic biases, especially under complex terrain conditions or in the presence of variable precipitation structures, such as light stratiform rain or intense convective storms. …”
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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

“…Aim of the study: to conduct a systematic analysis of the data available in the modern literature, prognostic factors, and modern methods of rehabilitation of cancer patients after endoprosthetic reconstruction following resection of the lower extremity long bones. …”
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SYNCHRONOUS OPERATION OF FIVE-PHASE CONVERTERS IN LINEAR MODULATION REGION by Oleschuk V.I., Profumo F., Sizov A.S., Tenconi A., Yaroshenco E.M.

“…Simulations give the behavior of five-phase power conversion systems with algorithms of continuous and discontinuous synchronized PWM.…”
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Optimising energy distribution and detecting vulnerabilities in networks using artificial intelligence by D. Koshkin, O. Sadovoy, A. Rudenko, V. Sokolik

“…The work focused on the study of methods, algorithms, and approaches that enabled increased efficiency in managing energy systems, reduced energy losses, improved network resilience to external threats, and ensured more accurate forecasting of supply and demand. …”
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The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…However, findings from individual research studies are not systematically reviewed and compiled together. Hence, this study aimed to systematically review, appraise, and evaluate neural AI algorithms employed and their comparative efficacy to conventional methods in endodontic diagnosis and treatment planning. …”
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ROBUST NUMERICAL METHODS FOR SOLVING THE poorly determined taskS OF ELECTRODYNAMICS AND NONLINEAR DYNAMICS by A. A. Kuraev, T. L. Popkova, V. V. Matveenko

“…The algorithms with specializing and stabilizing coefficients to provide sustainable solutions to systems of equations related to poorly determined tasks of electrodynamics and nonlinear dynamics are described. …”
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Theory and Practice of the Use of Metronidazole Topical Preparations in Dermatology by V. I. Kocherovets

“…Updated clinical and pharmaceutical characteristics of metronidazole preparations for systemic and topical use in diseases of the skin and soft tissues are considered. …”
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