Noise Reduction in LED-Based Photoacoustic Imaging by Takahiro Kono, Kazuma Hashimoto, Keisuke Fukuda, Uma Maheswari Rajagopalan, Kae Nakamura, Jun Yamada

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Reductions of GKZ systems and applications to cosmological correlators by Thomas W. Grimm, Arno Hoefnagels

“…These simpler subsystems can then be solved separately resulting in solutions for the full system. The algorithm makes it possible to check when reductions happen and allows for finding the associated simpler solutions. …”
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Combined Heat and Power (CHP) Allocation and Capacity Determination According to Fuzzy Bus Thermal Coefficient and Nodal Pricing Method using Cooperative Game Theory by Farhad Samaie, Mohammad Hasan Moradi

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Sparse sufficient dimension reduction for directional regression by Gayun Kwon, Gijeong Noh, Kyongwon Kim

“…Abstract Sufficient dimension reduction has emerged as a powerful tool for extracting meaningful information within high dimensional datasets over the past few decades. …”
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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions by Okba Fergani, Yassine Himeur, Raihane Mechgoug, Shadi Atalla, Wathiq Mansoor, Nacira Tkouti

“…The Quantum Marine Predator Algorithm (QMPA) presents a groundbreaking solution to the inherent limitations of conventional Maximum Power Point Tracking (MPPT) techniques in photovoltaic systems. …”
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Optimal design of 10‐bit single‐slope ADC for CMOS image sensor based on swarm intelligent optimization algorithm by Yan‐Hua Ma, Ji‐Tong Li, Ming Zhu, Yu‐Chun Chang

“…The proposed multi‐objectives optimization algorithm can obtain the optimal parameters of the kernel circuit components and lead to an enhancement of both power consumption and accuracy. …”
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RETRACTED ARTICLE: Enhancing MPPT performance for partially shaded photovoltaic arrays through backstepping control with Genetic Algorithm-optimized gains by Serge Raoul Dzonde Naoussi, Kenfack Tsobze Saatong, Reagan Jean Jacques Molu, Wulfran Fendzi Mbasso, Mohit Bajaj, Mohamed Louzazni, Milkias Berhanu, Salah Kamel

“…This differentiation is particularly relevant in areas with partial shading, such as Maroua, where the use of LMPP-based technologies can result in power losses. The proposed method demonstrates significant performance by achieving a minimum 33% reduction in power losses.…”
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Security constrained optimal power flow solution for practical transmission grid using hybrid use of generating plant and network restructuring by Bhoori Singh, Avdhesh Sharma, Akhil Ranjan Garg, Om Prakash Mahela, Baseem Khan, Ahmed Ali

“…The objectives of reduction in the transmission losses of TUGN (TLGN) and to minimize the bus voltage deviations (BVD) are achieved by addition of thermal power plant (TPP) and network restructuring (NR). …”
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A Metaheuristic Approach Based Feasibility Assessment and Design of Solar, Wind, and Grid Powered Charging of Electric Vehicles by Fayez Alanazi, Mohd Bilal, Ammar Armghan, Md Reyaz Hussan

“…We assess the efficacy of other algorithms in scaling system components by contrasting the performance of the GPCA with those of the Artificial Hummingbird Algorithm (AHA), Flower Pollination Algorithm (FPA), and Whale Optimization Algorithm (WOA). …”
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Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions by Khuong Nguyen‐Vinh, Surender Rangaraju, Michal Jasinski

“…ABSTRACT The increasing adoption of solar photovoltaic systems necessitates efficient maximum power point tracking (MPPT) algorithms to ensure optimal performance. …”
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Unsupervised Machine Learning Approaches for Test Suite Reduction by Anila Sebastian, Hira Naseem, Cagatay Catal

“…Therefore, the Test Suite Reduction (TSR) process is of great importance, contributing to the reduction of time and costs in executing test suites for complex software by minimizing the number of test cases to be executed. …”
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Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…In this paper, a comparative analysis of five machine learning algorithms—Linear Regression (LR), Expectation Maximization (EM), Random Forest (RF), Deep Belief Networks (DBNs), and Deep Neural Networks (DNNs)—is conducted to predict the operational conditions of PV-powered streetlights based on luminance levels and energy consumption. …”
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Re-Imagining a 'We' Beyond the Gathering of Reductions by Lila Athanasiadou, Goda Klumbyte, Antoinette Rouvroy

“…Within social ecology, Rouvroy advocates for the urgency to center digital policy as the space in which the new forms of institutions emerge in order to reorient the power of computation towards the commons. Lastly, within the mental ecology, Rouvroy reconceptualizes the legal subject as a performance that operates within the proliferation of asignifying data signs, reimagining a “we” beyond the gathering of reductions.    …”
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Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

“…The GVSAO algorithm is a sophisticated optimization technique that fine-tunes the hyperparameters of CNNs. …”
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Design of Radix-8 Unsigned Bit Pair Recoding Algorithm-Based Floating-Point Multiplier for Neural Network Computations by J. Jean Jenifer Nesam, S. Sankar Ganesh

“…In this work, we propose an efficient unsigned Bit Pair Recoding (BPR) algorithm for area, power, and speed improved FP unsigned mantissa multiplication. …”
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Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri... by Basim ALBaaj, Orhan Kaplan

“…The optimal power flow (OPF) problem is a critical component in the design and operation of power transmission systems. …”
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Dynamic reconfiguration of the distribution systems with Load Duration Curve (LDC) model for reducing the losses and improving the voltage profile by Sana Sadeghi, Alireza Jahangiri, Ahmad Ghaderi Shamim

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Allocation of Interline Power Flow Controller-Based Congestion Management in Deregulated Power System by Muhammad Safdar Sial, Qinghua Fu, Talles Vianna Brugni

“…The present paper provides an optimal location of the Interline Power Flow Controller (IPFC) method in the power system using the Sperm Whales Swarm Optimization (SWSO) algorithm. …”
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AGC of a Multi‐Area Hydrothermal Interconnected Diverse Deregulated Power System Using a Proposed Novel SBOA‐Multi‐Level Fuzzy Logic‐Tilt Controller Incorporated With IPFC by Getaneh Mesfin Meseret, Nishant Kumar, Tarkesh Kumar Mahato, Rajesh Kumhar, Poonam Lakra, M. D. Mofeed Alam

“…Additionally, when an Interline Power Flow Controller (IPFC) is incorporated, the system achieves an average reduction in oscillation amplitude of 75% for frequency deviation and 79.5% for tie‐line power deviation, significantly outperforming the conventional PID controller. …”
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Investigation of a Multi-Strategy Ensemble Social Group Optimization Algorithm for the Optimization of Energy Management in Electric Vehicles by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

“…A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population reduction is proposed. …”
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