Early Prediction of Stroke Risk Using Machine Learning Approaches and Imbalanced Data by Hassan Qassim

“… Classifying medical datasets using machine learning algorithms could help physicians to provide accurate diagnosing and suitable treatment. …”
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Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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Energy Management System for Small Scale Hybrid Wind Solar Battery Based Microgrid by P. Satish Kumar, R. P. S. Chandrasena, V. Ramu, G. N. Srinivas, K. Victor Sam Moses Babu

“…The power balance is maintained by an energy management system for the variations of renewable energy power generation and also for the load demand variations. This microgrid operates in standalone mode and provides a testing platform for different control algorithms, energy management systems and test conditions. …”
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Bootstrapping the 3d Ising stress tensor by Cyuan-Han Chang, Vasiliy Dommes, Rajeev S. Erramilli, Alexandre Homrich, Petr Kravchuk, Aike Liu, Matthew S. Mitchell, David Poland, David Simmons-Duffin

“…We obtain new precise determinations of scaling dimensions (∆ σ , ∆ ϵ ) = (0.518148806(24), 1.41262528(29)) as well as OPE coefficients involving σ, ϵ, and T μν . We also describe several improvements made along the way to algorithms and software tools for the numerical bootstrap.…”
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An overview of iterative methods based on orthogonal projections by Touraj Nikazad, Mona Khakzad

“…We also revisit and refine known convergence theorems, discussing their assumptions and implications in the context of real-world reconstruction problems. …”
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BayesMix: Bayesian Mixture Models in C++ by Mario Beraha, Bruno Guindani, Matteo Gianella, Alessandra Guglielmi

“…In addition to the several models and MCMC algorithms for posterior inference included in the library, new users with little familiarity on mixture models and the related MCMC algorithms can extend our library with minimal coding effort. …”
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Completeness of the Dynamics of the Attributes Values of Data in the Database DIM by A. N. Petrov, V. S. Roublev

“…An extension for a static OD-model by including sets of algorithmic procedures which modify values of object attributes and also create, remove and modify objects themselves is considered. …”
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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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Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks by Haibo Luo, Minghua He, Zhiqiang Ruan, Xiaxia Zeng

“…By applying the single exponential smoothing method, we estimate the amount of data of next period and design two optimal sleep time controllers according to time scheduling model of network, so as to dynamically adjust the duty cycle of end node. Our controllers also consider the residual energy of end node. Finally, we propose two dynamic and adaptive medium access control algorithms for synchronous and asynchronous duty-cycled wireless sensor networks, respectively. …”
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Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights by S Tamilselvi, M Suchetha, Dhanashree Ratra, Janani Surya, S Preethi, Rajiv Raman

“…In this review, we explore how these algorithms can be used for discriminating between responders and non-responders to anti vascular endothelial growth factor (VEGF) injections. …”
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Visual Multi-Metric Grouping of Eye-Tracking Data by Ayush Kumar, Rudolf Netzel, Michael Burch, Daniel Weiskopf, Klaus Mueller

“…To keep the diagrams of the matrix visualization simple and understandable, we visually encode our eye- tracking data into the cells of a similarity matrix of participants. The algorithmic grouping is performed with a clustering based on the affine combination of metrics, which is also the basis for the similarity value computation of the similarity matrix. …”
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ENHANCING CYBERSECURITY THROUGH MALWARE DETECTION BASED ON MACHINE LEARNING TECHNIQUE by Amer Mohamed Shhatha, Omar Ibrahim Alsaif

“…Out of all algorithms discussed, Random Forest, CatBoost, XGBoost, Hist GB are ranked highest with 99% accuracy. …”
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Actor-Critic Traction Control Based on Reinforcement Learning with Open-Loop Training by M. Funk Drechsler, T. A. Fiorentin, H. Göllinger

“…The use of actor-critic algorithms can improve the controllers currently implemented in automotive applications. …”
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Research of application of DFT-modulated filter bank in systems with significant spectral component amplification by N. S. Sanko, M. I. Vashkevich

“…The article provides expressions for the distortion and the aliasing functions, allowing to estimate the distortion value, which appears in analysis / synthesis system of DFT-modulated filter bank. Efficient algorithms for calculating the distortion and the aliasing functions are also offered. …”
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Development of an Artificial Intelligent Lighting System for Protected Crops by Basil Mohammed Al-Hadithi, Cecilia E. García Cena, Raquel Cedazo León, Carlos Loor Loor

“…Finally, the experimental results are analysed in various tests using both control algorithms to show the benefits and disadvantages of each controller.…”
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Post-Quantum Migration of the Tor Application by Denis Berger, Mouad Lemoudden, William J. Buchanan

“…The efficiency of Shor’s and Grover’s algorithms and the advancement of quantum computers implies that the cryptography used until now to protect one’s privacy is potentially vulnerable to retrospective decryption, also known as the harvest now, decrypt later attack in the near future. …”
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Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

“…This work presents a comparative examination of supervised learning algorithms optimized with particle swarm optimization for estimating photovoltaic output current. …”
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Drug discovery and mechanism prediction with explainable graph neural networks by Conghao Wang, Gaurav Asok Kumar, Jagath C. Rajapakse

“…The unprecedented development of machine learning and deep learning algorithms has expedited the drug response prediction research. …”
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Computer Modelling «Smart Building» by O. Yu. Maryasin, A. S. Kolodkina, A. A. Ogarkov

“…Automated house management system is made for automated control and management and also for organization of interaction between separated systems of engineering equipment. …”
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Using the power of artificial intelligence to improve the diagnosis and management of nonmelanoma skin cancer by Fahimeh Abdollahimajd, Fatemeh Abbasi, Alireza Motamedi, Narges Koohi, Reza Mohamoud Robati, Mona Gorji

“…Building patient trust is also essential for the successful implementation of AI in the clinical settings. …”
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