Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc... by W. Bodaszewski

“…Among those, there are functions describing states of stress in the component homogeneous regions, the parameters of lines that separate these regions, and, first of all, the formulae for determining the domains based on the general conditions of existence. These formulae play a key role in numerical implementations of the method. …”
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Using Machine Learning Algorithms in Intrusion Detection Systems: A Review by Mazin S. Mohammed, Hasanien Ali Talib

“…Notable algorithms, including decision trees, random forests, support vector machines, and deep learning architectures, are discussed. …”
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Implementation of Computer-Aided Piano Music Automatic Notation Algorithm in Psychological Detoxification by Xinmei Zhang

“…In this paper, the automatic piano music notation algorithm can play an influential role in significantly enhancing the actual effect of psychological detoxification.…”
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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…Network intrusion detection systems (NIDS) play a crucial role in maintaining cybersecurity by identifying malicious network activities. …”
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Critical Algorithmic Mediation: Rethinking Cultural Transmission and Education in the Age of Artificial Intelligence by Fulgencio Sánchez-Vera

“…This conceptual paper explores how artificial intelligence—particularly machine learning-based algorithmic systems—is reshaping cultural transmission and symbolic power in the digital age. …”
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Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis by Fatma Feyza Akyol, Ayhan İstanbullu, Faruk Özel

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Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

“…This commentary discusses the role of increasingly artificial intelligence-infused big tech platforms in facilitating and normalising high-emission lifestyles and consumption practices. …”
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Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran) by Armin Moghimi, Ava Tavakoli Darestani, Nikrouz Mostofi, Mahdiyeh Fathi, Meisam Amani

“…The selected features from Sentinel-2 particularly played a more substantial role in achieving this overall enhanced performance in AGB estimation. …”
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Research on Calibration Algorithm of Camera and LiDAR for Transport Vehicles in Open-pit Mines by XU Yanghan, LIN Jun, KANG Gaoqiang, YOU Jun, YUE Wei, TONG Hao

“…Based on multiple groups of feature point pairs, the external parameter matrix is obtained by EPnP algorithm. …”
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How can Multi-Agents AI Systems help Reduce Biases in Trading Algorithms? by Florin GROSU

“…Our architecture framework was tested in a simulated environment in which MAIS traded against human traders and rule-based algorithms using historical market data. The results showed that there were great quantitative improvements in the Sharpe ratios and drawdowns, which show that the system is good at improving riskadjusted returns and decreasing volatility. …”
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An optimized cubic B-spline algorithm for high-precision approximation of nonlinear transport phenomena by Rabia Noureen, Muhammad Kashif Iqbal, Maryam Asgir, Bandar Almohsen, Muhammad Azeem, Husam A. Neamah

“…This study aims to investigate a numerical scheme based on etics, Riphah Internatxtended cubic B-spline functions for solving the nonlinear gas dynamics equation, which plays a crucial role in the study of physical phenomena such as explosions, combustion, detonation and condensation within moving flows. …”
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High-resolution energy consumption forecasting of a university campus power plant based on advanced machine learning techniques by Saad A. Alsamraee, Sanjeev Khanna

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Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization by Buti Sello, Jianming Yong, Xiaohui Tao

“…By incorporating consensus mechanisms, blockchains ensure that all honest nodes in the network reach a consensus on whether to accept or reject a block, based on predefined rules and criteria. The aim of this study is to introduce a novel consensus mechanism named Erdos, which seeks to address the shortcomings of existing consensus algorithms, such as the Proof of Work and Proof of Stake. …”
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A New Diagnostic Algorithm for Examining Patients with Suspected Chronic Coronary Syndrome: Questions Remain? by A. N. Sumin

“…The new diagnostic algorithm includes a revision of the pre-test probability scale, the introduction of the concept of clinical probability, clarifies the role of various non-invasive tests with the central role of non-invasive testing for myocardial ischemia. …”
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Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm. by Rudy Clausen, Buyong Ma, Ruth Nussinov, Amarda Shehu

“…Doing so through a detailed characterization of structure spaces and underlying energy landscapes is desirable but continues to challenge methods based on Molecular Dynamics. In this paper we propose a novel algorithm, SIfTER, which is based instead on stochastic optimization to circumvent the computational challenge of exploring the breadth of a protein's structure space. …”
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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings by Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

“…Given the critical role of battery performance in WSN reliability, efficient energy management through Maximum Power Point Tracking (MPPT) algorithms is essential to adapt to variable environmental conditions such as solar irradiance and ambient temperature.Objective: This study aims to comparatively assess the performance of four widely adopted MPPT algorithms-Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic (FL), and Particle Swarm Optimization (PSO)-in enhancing battery charging efficiency in PV-powered WSNs under dynamic environmental conditions.Methods: A simulation-based evaluation framework was developed using MATLAB/Simulink to model a PV-powered WSN system. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…The This study sought to establish the general applicability of Monte Carlo algorithm for matrices in solving systems of linear equations, determinants, inverse, Eigen values, and Eigen vectors. …”
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Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA by S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi

“…The hybrid optimization enables the proposed algorithm to provide efficient task scheduling by exploiting the strengths of entire algorithms. …”
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Identification and Validation of NK Marker Genes in Ovarian Cancer by scRNA-seq Combined with WGCNA Algorithm by Xin He, Weiwei Feng

“…Therefore, we analyzed four high-grade serous ovarian cancer scRNA-seq data, screening NK cell marker genes at the single-cell level. The WGCNA algorithm screens NK cell marker genes based on bulk RNA transcriptome patterns. …”
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The Evolving Role of Copyright Law in the Age of AI-Generated Works by J. Hutson

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