Predicting and controlling the reactivity of immune cell populations against cancer by Kfir Oved, Eran Eden, Martin Akerman, Roy Noy, Ron Wolchinsky, Orit Izhaki, Ester Schallmach, Adva Kubi, Naama Zabari, Jacob Schachter, Uri Alon, Yael Mandel‐Gutfreund, Michal J Besser, Yoram Reiter

Subjects: “…decision tree algorithms…”
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Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models by Yasmine Gaaloul, Olfa Bel Hadj Brahim Kechiche, Houcine Oudira, Aissa Chouder, Mahmoud Hamouda, Santiago Silvestre, Sofiane Kichou

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RANFIS-Based Sensor System with Low-Cost Multi-Sensors for Reliable Measurement of VOCs by Keunyoung Kim, Woosung Yang

Subjects: “…multi-sensor system…”
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On routing algorithms in the internet of vehicles: a survey by Arundhati Sahoo, Asis Kumar Tripathy

“…To systematically categorise these protocols, we employ a multi-tiered taxonomy. …”
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Development of Algorithms for Processing Images of Large Volumes by O. N. Vinichuk, V. I. Dravitsa

“…Today it is quite difficult to find an application or a web application with a simple and user-friendly interface, as well as with relatively low characteristics in terms of energy consumption needed to supply the operating system and the device in general. This article presents new algorithms that improve the efficiency of image processing by reducing application loading and processing time, as well as by reducing the load on the operating system.…”
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Generation Algorithms for Thévenin and Norton Equivalent Circuits by Mihaela Grib, Ioana-Gabriela Sirbu, Lucian Mandache, Marilena Stanculescu, Mihai Iordache, Lavinia Bobaru, Dragos Niculae

“…They use the symbolic computation of two simulation tools developed by our research team. The proposed algorithms are not limited by the operation behavior of the analyzed systems, being usable in both DC and AC circuits, as well as in transients. …”
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EVALUATION OF ITERATIVE ALGORITHMS FOR TOMOGRAPHY IMAGE RECONSTRUCTION by Alexandre F. Velo, Alexandre G. Alvarez, Margarida Mizue Hamada, Carlos Henrique de Mesquita

“…The analyses involved the measurement of the contrast to noise ratio (CNR), the root mean square error (RMSE) and the Modulation Transfer Function (MTF),in order to know which algorithm fits the conditions to optimize the system better.   …”
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Risk Assessment Algorithms in Pharmacovigilance: A Review by T. M. Bukatina

“…This underscores the need to systematise risk assessment procedures for medicinal products within pharmacovigilance frameworks by pharmacovigilance specialists using a risk-based approach in the risk management system.AIM. This study aimed to analise of the key tools of the risk-based approach and optimise their application in medicinal product risk management systems.RESULTS. …”
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Some Granular Computing Based Machine Learning Algorithms by Vijay R. Tiwari

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Reinforcement Learning Algorithms for Online Single-Machine Scheduling by Yuanyuan Li, Edoardo Fadda, Daniele Manerba, Roberto Tadei, Olivier Terzo

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Reinforcement Learning Based Acceptance Criteria for Metaheuristic Algorithms by Oğuzhan Ahmet Arık, Gülhan Toğa, Berrin Atalay

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Innovative resource-saving security strategies for IoT devices by Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko

“…The primary focus is developing and analysing lightweight cryptographic algorithms capable of providing robust data protection with minimal resource usage. …”
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A Hybrid P&O-Fuzzy-Based Maximum Power Point Tracking (MPPT) Algorithm for Photovoltaic Systems Under Partial Shading Conditions by Hamed Karimi, Alireza Siadatan, Afshin Rezaei-Zare

“…This paper proposes a new MPPT approach that combines Perturb & Observe (P&O) and Fuzzy Logic Controller (FLC) with the Particle Swarm Optimization (PSO) algorithm. The FLC algorithm is then used to maximize search accuracy. …”
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Comparative analysis of NTRUEncrypt modified post-quantum cryptographic system and standard RSA cryptosystem by P. V. Razumov, I. A. Smirnov, I. A. Pilipenko, A. V. Selyova, L. V. Cherkesova

Subjects: “…cryptographic system…”
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A Novel Forecasting System with Data Preprocessing and Machine Learning for Containerized Freight Market by Yonghui Duan, Xiaotong Zhang, Xiang Wang, Yingying Fan, Kaige Liu

“…This study proposes a novel real-time rolling decomposition forecasting system integrating multiple influencing factors. The framework consists of two core modules: data preprocessing and prediction. …”
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Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways by Sultan Refa Alotaibi, Fatma S. Alrayes, Mashael Maashi, Mohammed Maray, Mohammed A. Alliheedi, Donia Badawood, Moneerah Alotaibi

Subjects: “…Intelligent transportation system…”
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Advanced Adaptive Rule-Based Energy Management for Hybrid Energy Storage Systems (HESSs) to Enhance the Driving Range of Electric Vehicles by Chew Kuew Wai, Taha Sadeq, Lee Cheun Hau

“…The findings indicate that the HESS significantly alleviates battery stress compared to a pure battery system, enhancing both efficiency and lifespan. Among the algorithms tested, the advanced adaptive rule-based algorithm yielded the best results, increasing the number of viable drive cycles.…”
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Algorithm for estimating the absolute total electron content of the ionosphere from dual-frequency phase and range satellite measurements by A. S. Shapkin

“…The problem of developing an algorithm for estimating the absolute total electron content of the ionosphere from dual-frequency phase and range satellite measurements for a single receiving station of global navigation satellite systems is being solved.Methods. …”
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Methods, Techniques, and Algorithms of Synchronous Multi-Zone Modulation of Signals of Voltage Source Inverters (literature review) by Oleschuk V., Tirsu M.

“…This publication provides a brief overview of the results of research work in the field of developing alternative methods, schemes, and algorithms of synchronous multi-zone modulation of signals of inverters of power con-version systems with reduced switching frequency of power switches. …”
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An unmanned intelligent inspection technology based on improved reinforcement learning algorithm for power large-area multi-scene inspection by Enmin Wang, Xin Meng, Jinglong Yu, Jiechang Wang, Liang Yin

“…Abstract Patrol path planning, as the basis of unmanned intelligent patrol, significantly influences the efficiency and quality of power system surveillance. Consequently, this study investigates a multi scene unmanned intelligent patrol technology for power large area, based on an improved reinforcement learning algorithm. …”
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