Business Model: Economic Value and Sociocultural Impact by G. D. Paksiutov

“…The impact of Netflix on the practice of consuming films in the digital age has been considered, noting that the automatic system of recommendations used by the service and algorithms of search optimization can pose a threat to the free choice of consumers. …”
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Towards ML Models’ Recommendations by Lara Kallab, Elio Mansour, Richard Chbeir

“…A prominent way to achieve this is machine learning (ML), which optimizes system performance by employing learning algorithms to create models based on data and its inherent patterns. …”
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Drones and AI-Driven Solutions for Wildlife Monitoring by Nourdine Aliane

“…This paper conducts a comprehensive literature review to examine the recent advancements in drone and AI systems for wildlife monitoring, focusing on two critical dimensions: (1) Methodologies, algorithms, and applications, analyzing the AI techniques employed in wildlife monitoring, including their operational frameworks and real-world implementations. (2) Challenges and opportunities, identifying current limitations, including technical hurdles and regulatory constraints, as well as exploring the untapped potential in drone and AI integration to enhance wildlife monitoring and conservation efforts. …”
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Survey on Deep Learning-Based Marine Object Detection by Ruolan Zhang, Shaoxi Li, Guanfeng Ji, Xiuping Zhao, Jing Li, Mingyang Pan

“…Therefore, high-performance deep learning-based algorithms and high-quality marine-related datasets need to be summarized. …”
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Hypertension: smoking or quit. Clinical difficulties by N. V. Korneeva, E. S. Gavrilov

“…Knowledge of algorithms for working with smoking patients and methods of non-drug support can help practitioners supporting such patients at the stage of smoking cessation.…”
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Random walk based snapshot clustering for detecting community dynamics in temporal networks by Filip Blašković, Tim O. F. Conrad, Stefan Klus, Nataša Djurdjevac Conrad

“…We further demonstrate the effectiveness and broad applicability of our technique by testing it on various social dynamics models and real-world datasets and comparing its performance to several state-of-the-art algorithms. Our findings highlight the strength of our approach to correctly capture and analyze the dynamics of complex systems.…”
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Synthesizing Recursive Logic Programs by Inverting General Resolution by Taosheng Qiu, Ryutaro Ichise

“…While semantic search methods that directly explain examples by inductive inference rules may utilize data relations to effectively prune the search space, in general logic programs, the compactness of the search space is often outweighed by the high complexity of inductive inference algorithms. In this study, we designed MPL, an inductive inference system based on two key ideas. …”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…IntroductionSpinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.MethodsWe conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes. …”
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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

“… The main objective of this work is to accurately predict in irrigation and hydraulic systems the discharge coefficient of the used sharp-crested inclined dams. …”
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AI-Based Enhancing of xBn MWIR Thermal Camera Performance at 180 Kelvin by Michael Zadok, Zeev Zalevsky, Benjamin Milgrom

“…This study explores the potential of extending the operating temperature of these cameras to 180 Kelvin, leveraging advanced AI algorithms to mitigate the increased thermal noise expected at higher temperatures. …”
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Innovative computer vision methods for tomato (Solanum Lycopersicon) detection and cultivation: a review by L. Moldvai, A. Nyéki

“…The paper also examines the latest research efforts in vehicle navigation systems and tomato-harvesting robots. The primary objective of this article was to present a thorough analysis of the image processing algorithms utilized in research over the past two years, along with their outcomes.…”
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Compressed Sensing Inspired Image Reconstruction from Overlapped Projections by Lin Yang, Yang Lu, Ge Wang

“…., filtered backprojection (FBP) algorithms) cannot be directly used because of two problems. …”
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Multiobjective Optimization of Turbine Coolant Collection/Distribution Plenum Based on the Surrogate Model by Junsheng Chai, Zhenyu Wang, Xuanling Zhao, Chunhua Wang

“…The turbine coolant collection/distribution chamber, as an important component of the secondary air system, undertakes the task of collecting and distributing coolant for guide vanes. …”
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Detecting Post-Midnight Plasma Depletions Through Plasma Density and Electric Field Measurements in the Low-Latitude Ionosphere by Giulia D’Angelo, Emanuele Papini, Alessio Pignalberi, Dario Recchiuti, Piero Diego

“…To test the robustness and reliability of our algorithms, we also applied them to well-established Swarm B satellite observations. …”
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Deep-learning structure elucidation from single-mutant deep mutational scanning by Zachary C. Drake, Elijah H. Day, Paul D. Toth, Steffen Lindert

“…AlphaFold2, a deep neural network, vastly outperformed previous algorithms to provide near atomic-level accuracy when predicting protein structures. …”
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Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application by Marciniak Jacek Bernard, Janicki Hubert

“…The developed software can be integrated with indoor navigation systems, and the implemented scripts can be used during the preparation of other models.…”
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Enhancing face recognition in native low-resolution images using deep learning and bicubic interpolati by Ngoan Chi Le

“…This paper addresses the challenge of face recognition in Low-Resolution (LR) images, mainly when the resolution is below 48x48 pixels, which is common in surveillance systems. Current face recognition algorithms struggle to deliver satisfactory results with such low-resolution images. …”
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Traditional and Perspective Methods of Corporate Non-Performing Loans Rejustment (Liquidation) by V. M. Poletaeva, A. M. Smulov

“…In addition, the manuscript presents algorithms of mentioned perspective methods implementation. …”
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Traffic Signs Identification Based on Mixed Forecasting Model by DING Bo, WANG Shui-fan

“…Finally the test set of the dimensional features were extracted, and the AdaBoostSVM classifier was adopted to classify and identify the dimensional features The experimental results show that the MFM has high recognition rate and robustness to traffic signs, and the recognition rate and convergence time are superior to other traditional algorithms, which are of great significance to improve the driving and unmanned safety…”
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Measuring Comparative Statistical Effectiveness of Cancer Subtype Categorization Using Gene Expression Data by Avila Clemenshia P., Deepa C.

“…The goal of this research is to develop a machine learning (ML) system capable of classifying human cancer subtypes based on gene expression data in cancer cells. …”
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