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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IPv6 communication capability index and its application in end-to-end carrier network by Yangchun LI, Weiwei FENG

“…The traditional way was used to qualitatively describe the IPv6 communication capabilities for end-to-end carrier grade network with many old devices.By introducing concepts of IPv6 communication events,IPv6 communication capability index,the algorithms were presented to calculate the IPv6 communication capability index for single node,node set,single path,multi-path and end-to-end network.These algorithms were also used to analyze and evaluate the IPv6 communication capability for end-to-end carrier grade network.…”
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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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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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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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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

“…In recent years, deep learning models have achieved remarkable progress in the prediction and classification tasks of artificial intelligence systems.However, most of the current deep learning models are black box, which means it is not conducive to human cognitive reasoning process.Meanwhile, with the continuous breakthroughs of artificial intelligence in the researches and applications, high-performance complex algorithms, models and systems generally lack the transparency and interpretability of decision making.This makes it difficult to apply the technologies in a wide range of fields requiring strict interpretability, such as national defense, medical care and cyber security.Therefore, the interpretability of artificial intelligence should be integrated into these algorithms and systems in the process of knowledge reasoning.By means of carrying out explicit explainable intelligence reasoning based on discrete symbolic representation and combining technologies in different fields, a behavior explanation mechanism can be formed which is an important way for artificial intelligence to realize data perception to intelligence perception.A comprehensive review of explainable knowledge graph reasoning was given.The concepts of explainable artificial intelligence and knowledge reasoning were introduced briefly.The latest research progress of explainable knowledge graph reasoning methods based on the three paradigms of artificial intelligence was introduced.Specifically, the ideas and improvement process of the algorithms in different scenarios of explainable knowledge graph reasoning were explained in detail.Moreover, the future research direction and the prospect of explainable knowledge graph reasoning were discussed.…”
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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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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…This study evaluated different machine learning and deep learning algorithms and their hybrid and optimized algorithms for IoT-based disease detection, using the most recent papers on IoT-based disease detection systems that include computing approaches, such as cloud, edge, and fog. …”
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ESG IN THE REAL ESTATE VALUATIONS. A PORTFOLIO SELECTION MODEL FOR ENERGY RETROFIT PROGRAMS by Francesco Tajani, Francesco Sica, Carola Clemente, Eugenio Arbizzani

“…The ESG triptych constitutes inspiration in the scientific literature in the field for the proposal and testing of valuation algorithms aimed at the optimal structuring of investment portfolios. …”
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The Computational Solution of Generalized Inverse Eigenvalue Problem for Pseudo-Jacobi Matrix by Fuxia Yi, Enhua Li

“…It is shown that a unique pseudo-Jacobi matrix can be recovered from partial eigenpairs and certain special mixed eigendata. Two algorithms are provided for the reconstruction of such a pseudo-Jacobi matrix, and illustrative numerical examples are presented to verify the proposed algorithms.…”
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Applications of Robust Methods in Spatial Analysis by Selvakkadunko Selvaratnam

“…The rapid improvement of modern technology with a geographic information system (GIS) can lead to the collection and storage of more spatial data. We developed algorithms to choose optimal locations from those permanently in a space for an efficient spatial data analysis. …”
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