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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The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids by Ipek Cetinbas, Bunyamin Tamyurek, Mehmet Demirtas

“…Similarly, the performance checked with the Wilcoxon signed-rank test has revealed a significant superiority in solution accuracy compared to HHO and AOA alone. Later, the hybrid algorithm is tested on a microgrid that consists of a photovoltaic (PV) system, a wind turbine (WT) system, a battery energy storage system (BESS), diesel generators (DGs), and a commercial type load. …”
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ANALYSIS AND COMPARISON OF EXISTING DECISION SUPPORT TECHNOLOGY by V. A. Rybak, Ahmad Shokr

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Modified hybrid particle swarm optimization: multivariate calibration of water supply networks by Hugo Augusto Marinho Moreira, Juan Moises Mauricio Villanueva, Heber Pimentel Gomes

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Optimization of Coronary Sinus Pacing Site Based on Cardiac Contractility Detected by a Right Atrial Lead–Embedded Accelerometer by Kosuke Muto, Yoshifumi Ikeda, Hitoshi Mori, Ritsushi Kato

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Optimizing Photovoltaic Grid‐Connected Power Systems Through Artificial Intelligence and Robust Nonlinear Control by Collins Ngong Sang, Harrison Ambe, Arnaud flanclair Tchouani Njomo, Zeric Tabekoueng Njitacke, Wulfran Fendzi Mbasso, Pradeep Jangir, Aseel Smerat

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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

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Machine learning algorithms reveal the secrets of mitochondrial dynamics by Jack J Collier, Robert W Taylor

“…However, a significant number of patients develop more severe, systemic phenotypes, although no genetic modifiers of OPA1‐related disease have been identified to date. …”
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