Cost-benefit analysis in demand response with penalty and grid management using blockchain by Manikandan Ramasamy, Thenmalar Kaliannan, Saravanakumar Ramasamy

“…Two distinct optimization methods such as the gray wolf optimization algorithm and particle swarm optimization are employed to solve the optimization model. …”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…In this paper, we will introduce the rapidly developed waveform inversion-based location method into a mine MS field study. On this basis, the wavefields were modeled by utilizing a high-resolution 3D velocity model, a fractional-order Gaussian wavelet source-time function, and spectral element method (SEM) wavefield modeling. …”
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Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel by E. A. Mavrychev, E. N. Pribludova, S. B. Sidorov

“…Optimization of spatial signal processing in the relay network was based on methods of statistical theory and optimization using analytics of linear algebra and methods of mathematical programming. …”
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Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis by Jianying Wang, Cheng Wang, Tianshu Zhang, Bineng Zhong

“…From the principle of independent component analysis (ICA) and the uncertainty of amplitude, order, and number of source signals, this paper expounds the root reasons for modal energy uncertainty, identified order uncertainty, and modal missing in output-only modal analysis based on ICA methods. …”
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Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network by Xiangfei Meng, Lina Zhang, Xin Tian, Hongqing Chu, Yao Wang, Qingxin Shi

“…Traditional works usually model the power source-load uncertainty by using robust optimization, interval optimization, or chance-constraint optimization, which cannot fully reflect the probabilistic distribution of the daily source-load uncertainty. …”
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Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. by Zixi Wang, Yubo Huang, Yukai Zhang, Yifei Sheng, Xin Lai, Peng Lu

“…Traditional heuristic methods, though intuitive, often fail to achieve global optimization. …”
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Continuous Train Positioning Using Visible Light Communication Assisted with Zero Velocity Update by Yanpeng ZHANG, Rongrong ZHANG, Nan MENG, Bingqing ZHANG, Xia XIAO

“…This study proposes a continuous train positioning method based on VLC and ZUPT to optimize the results of dynamic train positioning and correct the offset from the IMU when a train is pulled over at a station, enabling seamless train positioning with high accuracy along an entire subway line. …”
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TICTAC: target illumination clinical trial analytics with cheminformatics by Jeremiah I. Abok, Jeremy S. Edwards, Jeremy J. Yang

“…IntroductionIdentifying disease–target associations is a pivotal step in drug discovery, offering insights that guide the development and optimization of therapeutic interventions. Clinical trial data serves as a valuable source for inferring these associations. …”
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The Multiagent Planning Problem by Tamás Kalmár-Nagy, Giovanni Giardini, Bendegúz Dezső Bak

“…GAID outperformed the Ant Colony Optimization and the Modified Genetic Algorithm. Even though the heuristics specifically developed for Multiple Traveling Salesmen Problem (e.g., k-split, bisection) outperformed GAID, these methods cannot solve the Multiagent Planning Problem. …”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…In this study, we propose a Vehicle Re-ID method based on super resolution and pyramidal convolution residual network. …”
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Photon-pair generation in a lossy waveguide by Shin Woncheol, Park Kyungdeuk, Kim Hyeongpin, Lee Dongjin, Kwon Kiwon, Shin Heedeuk

“…In this study, propagation loss effects were examined using theoretical and experimental methods. In theory, the performance of quantum light sources, such as brightness, heralding efficiency, and coincidence-to-accidental ratio, strongly depend on propagation loss. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

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State Estimation in Power Distribution Grids Using Deep Unfolding by Biswajeet Rout, Balasubramaniam Natarajan

“…Unlike model-agnostic neural networks (NNs), which are difficult to tune and train, the proposed model-based NN is created by “unfolding” the alternating direction method of multipliers (ADMM) solver. This article proposes two methods for state estimation: a purely data-driven approach called model-free DSSE network (MFDSSE-net) and a model-based DSSE network (MBDSSE-net) that incorporates network information by including the linearized power flow constraints into the optimization framework. …”
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Providing a Control System for Charging Electric Vehicles Using ANFIS by Zahra Mahdavi, Tina Samavat, Anita Sadat Jahani Javanmardi, Mohammad Ali Dashtaki, Mohammad Zand, Morteza Azimi Nasab, Mostafa Azimi Nasab, Sanjeevikumar Padmanaban, Baseem Khan

“…By implementing this method, it is expected that the connection status of electric vehicles can be optimized to help stabilize the grid and minimize frequency fluctuations caused by the integration of distributed renewable energy sources. …”
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Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…Aiming at the problem that the separation performance of the negative entropy maximization method depends on the selection of the initial matrix, the Newton downhill method is used instead of the Newton iteration method as the optimization algorithm to find the optimal matrix. …”
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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…<h4>Results</h4>There has been a recent surge of interest in using compressed sensing inspired and convex-optimization based methods to solve the estimation problem for bacterial community composition. …”
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT by Jialu Tang, Yali Gao, Xiaoyong Li, Jia Jia

“…Our work addresses these critical challenges by proposing a novel method, Meta-Equilibrized Federated Learning (MEFL), which integrates meta-learning with gradient-descent preservation and an equilibrated optimization aggregation mechanism based on gradient similarity and variance weighted adjustment. …”
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Effect of Culture Media on the Yield and Protein Content of Pleurotus ostreatus (Jacq.) Kumm Mycelia by Kayise Hypercia Maseko, Thierry Regnier, Obiro Cuthbert Wokadala, Paul Bartels, Belinda Meiring

“…In this study, we investigated the culture conditions for Pleurotus ostreatus mycelia, focusing on the nutritional requirements and yield optimization using solid surface culture and liquid-state culture methods. …”
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Volt/Var Control of Electronic Distribution Network Based on Hierarchical Coordination by Zijie Huang, Kun Yu, Xingying Chen, Bu Xue, Liangxi Guo, Jiarou Li, Xiaolan Yang

“…A variable-slope linear droop control method based on voltage boundary parameter optimization is employed for real-time adjustment of soft open point (SOP) and inverter outputs. …”
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Effect of potato pulp as a natural antioxidant on fat oxidation of fish waste during solid-state fermentation by Hananeh Safdari, Zohreh Hamidi-Esfahani

“…The optimized variables included moisture, pH, and bacterial inoculum amount, which were optimized using a full factorial statistical method at three levels. …”
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