Full Vector Inversion of Magnetic Microscopy Images Using Euler Deconvolution as Prior Information by Gelson F. Souza‐Junior, Leonardo Uieda, Ricardo I. F. Trindade, Janine Carmo, Roger Fu

“…To validate the algorithm, we conducted synthetic data tests, including varying particle concentrations and non‐dipolarity. …”
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Dealing with the Outlier Problem in Multivariate Linear Regression Analysis Using the Hampel Filter by Amira Wali Omer, Taha Hussein Ali

“…In this study, proposes a Hampel filter-modified algorithm to dynamically detect and mitigate extreme values, enhancing parameter estimation and predictive performance. …”
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SatBałtyk - A Baltic environmental satellite remote sensing system - an ongoing project in Poland. Part 1: Assumptions, scope and operating range by Bogdan Woźniak, Katarzyna Bradtke, Mirosław Darecki, Jerzy Dera, Joanna Dudzińska-Nowak, Lidia Dzierzbicka-Głowacka, Dariusz Ficek, Kazimierz Furmańczyk, Marek Kowalewski, Adam Krężel, Roman Majchrowski, Mirosława Ostrowska, Marcin Paszkuta, Joanna Stoń-Egiert, Małgorzata Stramska, Tomasz Zapadka

“…The further practical application of this set of algorithms (to be gradually made more specific) is therefore entirely justified as the basis of the SatBałtyk system for the effective operational monitoring of the state and functioning of Baltic ecosystems. …”
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Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing by Ilya Burtakov, Arseny Poyda, Aleksey Kureev, Evgeny Khorov

“…Existing statistical RIS adjustment algorithms typically rely on extensive channel measurements obtained through uniform random sampling of RIS configurations. …”
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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

“…Driven by advancements in high-throughput sequencing technologies, mass spectrometry, and artificial intelligence, researchers have developed a growing interest in establishing more accurate neoantigen prediction algorithms. Here, we presented a comprehensive review of integrated neoantigen prediction algorithms, encompassing task definition, theoretical developments, benchmark datasets, cutting-edge applications, and future research directions. …”
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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

“…Further, ML algorithms can capture highly complex, particularly nonlinear, relationships among predictor variables. …”
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Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

“…The results of correlation analysis between ground monitoring values and spectral values from remote sensing algorithms showed that the two parameters, SD and TP, correlated best with the NIR/BLUE algorithm. …”
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Accelerated discovery of high-density pyrazole-based energetic materials using machine learning and density functional theory by Muhammad Tukur Ibrahim, Muktar Musa Ibrahim, Adamu Uzairu, Gideon Adamu Shallangwa, Sani Uba

“…The performance of four machine learning algorithms including: multilinear regression, artificial neural network, support vector machines, and random forest algorithms were evaluated. …”
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A network recovery strategy based on boundary nodes and tetrahedral approximation fermat points in three-dimensional wireless sensor networks by Bin Xu, Hongsheng Chen, Yanxu Cheng

“…The proposed approach is evaluated through three distinct algorithms: (1) a variant of Prim’s algorithm (VPrim), which iteratively connects pairs of isolated segments until full network connectivity is restored, (2) a tetrahedral approximate Fermat point algorithm (TAFP), which simultaneously connects four isolated segments in each iteration until the network is fully recovered, and (3) Hybrid TAFP and VPrim Algorithm (HybridTV) to restore the entire network. …”
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Verification of functional models of chemical manufacturing by E. V. Burlyaeva, V. V. Burlyaev, V. V. Kononenko, V. S. Tsekhanovich

“…A generalized algorithm for the verification of functional models and the rules for the verification of diagrams related by levels of detail were developed in this paper. …”
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An improved enterprise development optimizer based on labor migration for numerical optimization by Dawei Zhao, Leidong Feng, Yijiang Wang, Xinyu Cai, Xiang Liu

“…Abstract Enterprise Development Optimizer (EDO) is a meta-heuristic algorithm inspired by the enterprise development process. …”
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IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks by Yu Bai, Li Li, Shanqing Zhang, Jianfeng Lu, Ting Luo

“…The robustness of the algorithms is also better than the existing state-of-the-art image watermarking algorithms used in the performance evaluation comparison.…”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper underscores the significant advancements in plant disease diagnostics achieved through the integration of remote sensing technologies and deep learning algorithms, particularly in aerial imagery interpretation. …”
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Notice of Violation of IEEE Publication Principles: Dynamic Embedding and Scheduling of Service Function Chains for Future SDN/NFV-Enabled Networks by Haotong Cao, Hongbo Zhu, Longxiang Yang

“…Finally, the simulation results are illustrated to validate the proposed algorithm.…”
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Efficient and secure multi-party computation protocol supporting deep learning by Shancheng Zhang, Gang Qu, Zongyang Zhang, Minzhe Huang, Haochun Jin, Liqun Yang

“…For Softmax computation, we extend existing two-party protocols to a multi-party Shamir setting, developing the nQSMax algorithm. This algorithm achieves exceptional accuracy exceeding 99% within seconds, requiring only a few iterations.…”
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Design and development of full self-service smart shopping system for unmanned supermarket by Xiao Liang, Yu Qi, Shuo Xi, Guanglei Meng, Zhujun Wang

“…Comparative experiments show that the MU-SLAM algorithm’s positioning accuracy increased by 92%, while the distributed DIMP algorithm’s tracking persistence improved by 107%. …”
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Robust Hybrid Data-Level Approach for Handling Skewed Fat-Tailed Distributed Datasets and Diverse Features in Financial Credit Risk by Musara Keith R, Ranganai Edmore, Chimedza Charles, Matarise Florence, Munyira Sheunesu

“…This approach was coupled with widely employed ensemble algorithms, namely the random forest (RF) and the extreme gradient boost (XGBoost). …”
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Morphological characterization of Mycobacterium tuberculosis in a MODS culture for an automatic diagnostics through pattern recognition. by Alicia Alva, Fredy Aquino, Robert H Gilman, Carlos Olivares, David Requena, Andrés H Gutiérrez, Luz Caviedes, Jorge Coronel, Sandra Larson, Patricia Sheen, David A J Moore, Mirko Zimic

“…We developed a pattern recognition algorithm to automatically interpret MODS results from digital images. …”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…Four different classification algorithms that is; decision tree (J48), Naïve Bayes, Multilayer Perceptron and Support Vector Machine were compared to find the most effective algorithm for crime prediction. …”
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Method of Construction of pareto set At a dynamic initial data reception by S. V. Chebakov, L. V. Serebryanaya

“…The general scheme of construction of partial solutions in a case when each element is formed on certain computing algorithm is presented. Concepts of dominating and dominated vectors on pareto set are defined and the algorithm of their construction is offered. …”
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