Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…To validate the effectiveness of the AADRR algorithm, we performed a comparative performance analysis with twelve other algorithms, including five traditional CPU scheduling algorithms and seven advanced job scheduling techniques, demonstrating optimal performance results. …”
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Quantum Circuit Synthesis Using Fuzzy-Logic-Assisted Genetic Algorithms by Ishraq Islam, Vinayak Jha, Sneha Thomas, Kieran F. Egan, Alvir Nobel, Serom Kim, Manu Chaudhary, Sunday Ogundele, Dylan Kneidel, Ben Phillips, Manish Singh, Kareem El-Araby, Devon Bontrager, Esam El-Araby

“…Quantum algorithms will likely play a key role in future high-performance-computing (HPC) environments. …”
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Algorithm-based intraoperative diagnosis of liver tumors using infrared spectroscopy by Rimante Bandzeviciute, Grit Preusse, Sascha Brückmann, Alexander Hirle, Anne Wedemann, Franziska Baenke, Marius Distler, Carina Riediger, Jürgen Weitz, Valdas Sablinskas, Justinas Ceponkus, Gerald Steiner, Christian Teske

“…Accurate intraoperative classification and margin assessment are crucial for improving outcomes. Current methods, like frozen section analysis, are time-consuming and subjective, necessitating rapid, objective alternatives. …”
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Comparative performance analysis of neoepitope prediction algorithms in head and neck cancer by Leila Y. Chihab, Leila Y. Chihab, Julie G. Burel, Aaron M. Miller, Aaron M. Miller, Luise Westernberg, Brandee Brown, Jason Greenbaum, Michael J. Korrer, Stephen P. Schoenberger, Sebastian Joyce, Sebastian Joyce, Young J. Kim, Zeynep Koşaloğlu-Yalçin, Bjoern Peters, Bjoern Peters

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The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases by Bo Gao, Wendu Duan

“…The article emphasizes key advancements, including the application of machine learning and deep learning algorithms. Simultaneously, it addresses the challenges and limitations within this domain. …”
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AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

“…Through the integration of motor current signature analysis (MCSA) and machine learning algorithms, particularly long short-term memory (LSTM) networks, this study aims to predict and detect belt degradation in real time. …”
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Calculation of Voltage-Current Characteristics of Field-Effect Transistors in Integrated Circuits by Analytical Methods by V. A. Bondarev

“…Analytical solutions and formulae for calculating current-voltage static characteristics of MOS transistors are presented. …”
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Pelvic Fractures in Adults and the Importance of Associated Injuries—A Current Multi-Disciplinary Approach by Jakub Ohla, Piotr Walus, Michał Wiciński, Bartłomiej Małkowski, Bartosz Turoń, Adam Jabłoński, Michał Gawryjołek, Katie Kellett, Jan Zabrzyński

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A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan by Nadeem Ahmed Siddiqui, Muhammad Anees, Fareed Shaikh, Zia Ur Rehman

“… This study focuses on the current applications, potential, and challenges to Artificial Intelligence (AI) integration in vascular surgery with specific emphasis on its relevance in Pakistan. …”
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Harmonic Current Elimination for Rectifiers Based on N Times Notch Filter and PR Controller by WANG Na, MU Yuanpeng

“…For suppressing net-side low-order harmonics current, the mechanism and distribution of the harmonics were first derived. …”
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Concept of a Fuel Injector Control System Based on Electric Current Signals in OBD by Adrian POŁANIECKI, Kinga SZOST, Jędrzej MĄCZAK

“…It is possible to observe electric current signals with high repeatability on the coil of fuel injectors. …”
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Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

“…Asymmetrical fault mode detection can be carried out through checking of a relative asymmetry of currents in the line phases. The paper presents a comparative estimation of techniques for asymmetrical fault determination on distribution networks lines and contains an analysis of the results pertaining to the investigations on application of aforementioned techniques in the line microprocessor current protection algorithms. …”
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Battery Cell Charging Behavior Analysis Using Constant Current and Constant Voltage Methods by Anna Cyntia, Muhammad Imran Hamid, Ayu Elsa Afriyanti

“…This study presents a detailed simulation of lithium-ion battery charging using the Constant Current/Constant Voltage (CC/CV) method. MATLAB is used in conjunction with certain mathematical algorithms, such as numerical integration and curve fitting, to simulate the charging process, utilizing parameters including a constant current of 1C and a voltage threshold of 4.2V. …”
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Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging by Philipp Nolte, Christian Dullin, Angelika Svetlove, Marcel Brettmacher, Christoph Rußmann, Arndt F. Schilling, Frauke Alves, Bernd Stock

“…Computed tomography (CT) or magnetic resonance imaging (MRI) scans performed prior to sectioning in combination with image registration algorithms provide an opportunity to regain access to morphological characteristics as well as to relate histological findings to the 3D structure of the local tissue environment. …”
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Small Molecules in the Treatment of Acute Severe Ulcerative Colitis: A Review of Current Evidence by Raffaele Pellegrino, Giuseppe Imperio, Ilaria De Costanzo, Michele Izzo, Fabio Landa, Assunta Tambaro, Antonietta Gerarda Gravina, Alessandro Federico

“…This condition exposes patients to serious complications, including toxic megacolon, surgical intervention, and even death. The current therapeutic strategy relies on time-dependent, multi-step algorithms that integrate systemic corticosteroids, calcineurin inhibitors, and biologic agents (specifically infliximab) as medical therapy aimed at avoiding colectomy. …”
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Advancements in Optimization Techniques for Active Magnetic Bearing Systems: Current Trends and Future Directions by Tasnemul Hasan Nehal, Waleed M. Hamanah, Mohammad Ali Abido

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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Results and Discussion: Machine learning in radiology focuses on developing algorithms that analyze medical images without explicitly programmed rules, divided into supervised and unsupervised learning. …”
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Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives by Hao Ren, Hao Ren, Hao Ren, Fengshi Jing, Yongcong Ma, Ruining Wang, Chaocheng He, Yufan Wang, Jiandong Zhou, Yu Sun

“…A total of 2,128 papers were included in the analysis.ConclusionFrom our perspective, current advancements in AI-powered IoT cardiac sensors primarily focus on optimizing AI algorithms, such as deep learning techniques, and enhancing the functionality of smart wearable devices for precision medicine. …”
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Current View on the Postoperative Asthenopic Syndrome Problem in Patients with Corneal Refractive Surgery. Review by I. A. Mushkova, N. V. Maychuk, E. Yu. Markova, L. T. Shamsetdinova

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Optimal Coordination of Directional Overcurrent Relays in Microgrids Considering European and North American Curves by León F. Serna-Montoya, Sergio D. Saldarriaga-Zuluaga, Jesús M. López-Lezama, Nicolás Muñoz-Galeano

“…The proposed model is formulated as a mixed-integer nonlinear programming problem and solved using four metaheuristic techniques: the genetic algorithm (GA), Imperialist Competitive Algorithm (ICA), Harmonic Search (HS), and Firefly Algorithm (FA). …”
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