Optical-electronic correlation-extreme navigation system of small unmanned aerial vehicle by A. A. Sheinikov, V. A. Malkin, E. A. Smolensky, L. A. Ivanitsky

“…The proposed navigation system is characterized by the use of a small-sized and affordable digital camera and computer, which is critical for small military unmanned aerial vehicles. The developed algorithmic support for the system is distinguished by the use of algorithms for reconstructing a three-dimensional digital terrain model using optical digital images from an on-board digital camera, as well as algorithms for correlation processing of current and reference models, which ensures the possibility of accurate autonomous air navigation using view information. …”
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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications by Shohreh Abdollahi, Ramin Safa

“…These algorithms can analyze large datasets, extract relevant patterns and features, and make accurate predictions. …”
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Comparison of 3D, 2D, and 1D Magnetotelluric Inversion Results on the Example of Data from Fore-Sudetic Monocline by Szymon Oryński, Waldemar Jóźwiak, Krzysztof Nowożyński, Wojciech Klityński

“…This study’s main objective is to better define and understand results for the most commonly used inversion algorithms in magnetotelluric data interpretation as part of geological exploration of the region of the Dolsk fault and the Odra fault. …”
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Regulatory challenges in ai-based diagnostics: Legal implications of ai use in medical diagnostics by Naili Yuris Tri, Mangkunegara Iis Setiawan, Purwono, Baballe Muhammad Ahmad

“…To enhance algorithms, modify the legal framework to safeguard patient rights, and clearly define the obligations of technology creators, more study is necessary.…”
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Multi-Attribute Decision-Support System Based on Aggregations of Interval-Valued Complex Neutrosophic Hypersoft Set by Atiqe Ur Rahman, Muhammad Saeed, Muhammad Arshad, Salwa El-Morsy

“…The proposed algorithms are validated with the help of real-world applications. …”
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A dynamic Markov chain prediction model for delay-tolerant networks by Il-kyu Jeon, Kang-whan Lee

“…In this study, prediction routing algorithms are proposed to select efficient relay nodes. …”
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Numerical methods of computation of singular and hypersingular integrals by I. V. Boikov

“…The isolated section is devoted to the optimal with respect to accuracy algorithms of the calculation of the hypersingular integrals.…”
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Convex separable minimization problems with a linear constraint and bounded variables by Stefan M. Stefanov

“…A necessary and sufficient condition and a sufficient condition are proved for a feasible solution to be an optimal solution to these two problems, respectively. Iterative algorithms of polynomial complexity for solving such problems are suggested and convergence of these algorithms is proved. …”
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Methods for Solving Generalized Nash Equilibrium by Biao Qu, Jing Zhao

“…In this paper, we present two descent type methods. The algorithms are based on a reformulation of the generalized Nash equilibrium using Nikaido-Isoda function as unconstrained optimization. …”
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Predicting Students’ Final Performance Using Artificial Neural Networks by Tarik Ahajjam, Mohammed Moutaib, Haidar Aissa, Mourad Azrour, Yousef Farhaoui, Mohammed Fattah

“…Artificial Intelligence (AI) is based on algorithms that allow machines to make decisions for humans. …”
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Intermittent Short Atrioventricular Delay in a Dual Chamber Pacemaker During Acute Pulmonary Edema by Ravi Vazirani, Miriam García Cocera, David Calvo

“…As most cardiologists and emergency department physicians are not familiar with brand‐specific algorithms, we believe that this case report will make these noncompetitive atrial pacing algorithms more accessible to non‐cardiologists.…”
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Novel Applications of Intuitionistic Fuzzy Digraphs in Decision Support Systems by Muhammad Akram, Ather Ashraf, Mansoor Sarwar

“…Many problems of practical interest can be modeled and solved by using graph algorithms. In general, graph theory has a wide range of applications in diverse fields. …”
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Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging by Takashi Matsuda, Ryo Hayakawa, Youji Iiguni

“…Simulation results show that the trained noise level parameters via the proposed approach exhibit a non-monotonic pattern, which is different from the assumptions in the conventional convergence analyses of PnP-based algorithms. These findings provide new insights into both the application of deep unfolding and the theoretical basis of PnP algorithms.…”
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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…Moreover, it emphasizes the operational advantage of deploying multiple organic sets of machine learning algorithms, which can achieve even greater precision and efficiency than individual machine learning algorithms in practical uses, bringing it closer to developing a more robust and secure SDN environment.…”
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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data by Johannes Jordan, Elli Angelopoulou, Andreas Maier

“…It satisfies the need for a general, consistent software framework that tightly integrates analysis algorithms with an intuitive, modern interface to the raw image data and algorithmic results. …”
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Semi-Supervised Hybrid Local Kernel Regression for Soft Sensor Modelling of Rubber-Mixing Process by Haiqing Yu, Jun Ji, Ping Li, Fengjing Shao, Shunyao Wu, Yi Sui, Shujing Li, Fengjiao He, Jinming Liu

“…Meanwhile, traditional global learning algorithms suffer from the outdated samples while online learning algorithms lack practicality since too many labelled samples of current batch are required to build the soft sensor. …”
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Hybrid Extragradient Method with Regularization for Convex Minimization, Generalized Mixed Equilibrium, Variational Inequality and Fixed Point Problems by Lu-Chuan Ceng, Juei-Ling Ho

“…We prove some strong and weak convergence theorems for the proposed iterative algorithms under mild conditions.…”
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Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis by Mahdi Gouravani, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Shayan Shojaei, Sina Mirakhori, Hamid Harandi, Soheil Mohammadi, Ramy R. Saleh

“…Moreover, externally validated Al algorithms had a pooled sensitivity and specificity of 80% (95% CI, 73 to 84) and 90% (95% CI, 84 to 93), respectively. …”
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SpatialLeiden: spatially aware Leiden clustering by Niklas Müller-Bötticher, Shashwat Sahay, Roland Eils, Naveed Ishaque

“…Leiden clustering is one of the algorithms of choice in the single-cell community. In the field of spatial omics, Leiden is often categorized as a “non-spatial” clustering method. …”
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New Wavelets Collocation Method for Solving Second-Order Multipoint Boundary Value Problems Using Chebyshev Polynomials of Third and Fourth Kinds by W. M. Abd-Elhameed, E. H. Doha, Y. H. Youssri

“…This paper is concerned with introducing two wavelets collocation algorithms for solving linear and nonlinear multipoint boundary value problems. …”
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