Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…Combining convolutional neural networks (CNNs) and support vector machines (SVMs) for prediction, the fire-source location prediction model with temperature, smoke, and CO concentration as feature quantities was constructed, and the hyperparameters affecting the model accuracy and generalisation were optimised by the Crested Porcupine Optimizer (CPO) algorithm. …”
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Localization of Near-Field Sources Based on Sparse Signal Reconstruction with Regularization Parameter Selection by Shuang Li, Wei Liu, Daqing Zheng, Shunren Hu, Wei He

“…In this paper, a new source localization method based on sparse signal reconstruction is proposed in the near-field. …”
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Screening of Novel Source for Genistein by Rapid and Sensitive UPLC-APCI-TOF Mass Spectrometry by Aparna Bettaiah, Hema Bommanamane Prabhushankar

“…The main objective of the current research work was to discover the novel source for genistein by the simple method of extraction and quantification. …”
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Proof of Concept for Enhanced Sugar Yields and Inhibitors Reduction from Aspen Biomass via Novel, Single-Step Nitrogen Explosive Decompression (NED 3.0) Pretreatment Method by Damaris Okafor, Lisandra Rocha-Meneses, Vahur Rooni, Timo Kikas

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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…Extensive experiments verify the superiority of our scalable method over the most commonly used data selection methods, including GreeDi, Greedymax, random selection, and stratified sampling by a substantial gain of at least 12% reduction in Relative Diversity Error (RDE). …”
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A Comprehensive Review of Voltage Source Converters-Based FACTS Controllers in Hybrid Microgrids by Maloth Hussen, Thirumalaivasan Rajaram

“…The focus is on acknowledging the development of voltage source controllers, starting from conventional control techniques to the integration of more advanced methods like optimization strategies, adaptive control, and machine learning-based approaches. …”
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Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

“…The paper considers methods of program transformation equivalent to optimizing the cycle invariant, applied to the functional data-flow model implemented in the Pifagor programming language. …”
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An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

“…To cope with this challenge, hybrid energy storage systems, as flexible regulation schemes, are capable of balancing the supply and demand of the power system according to different timescales and power demands, and enhancing the efficiency and utilization of new energy sources. Therefore, this paper proposes an integrated energy system planning and optimization method based on hybrid energy storage. …”
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Middle Eastern plants as a source of bioactive metal nanoparticles: a critical review by Abdulrahman M. Elbagory, Okobi Eko Ekpo

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Diffusion-Based Sound Source Localization Using a Distributed Network of Microphone Arrays by Davide Albertini, Alberto Bernardini, Gioele Greco, Augusto Sarti

“…In this article, we recast the task of sound source localization (SSL) with networks of acoustic arrays as a distributed optimization problem. …”
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Design and Application of Bidirectional Converter Based on DAB for Hydrogen Energy Dual-source Locomotive by LUO Pan, RAO Peinan, ZHOU Fengwu, ZHANG Xiaoyong, ZHOU Shuai, ZHANG Qing

“…This paper describes the main circuit design and control strategy of a 440 kW bi-directional isolated DC/DC converter, innovatively proposes a design method of energy storage inductor, which takes the minimum of the peak current of inductor as the optimization objective.The feasibility of the design is verified through principle simulation and test. …”
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OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images. by Gavrielle R Untracht, Rolando S Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K Durrani, Teemapron Butsabong, Paola Campagnolo, David D Sampson, Christian Heiss, Danuta M Sampson

“…A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. …”
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RETROSPECTIVE ANALYSIS OF HYPOXIC TRAINING IN ROAD CYCLING IN BULGARIA PERIOD (1945-1965) by Iv. Kolev

“…The study was conducted using the methods: study of information sources, document analysis, theoretical analysis and synthesis. …”
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Enhancing Knowledge Graph Construction with Automated Source Evaluation Using Large Language Models by Hendrik Hendrik, Silmi Fauziati, Adhistya Erna Permanasari

“…However, the quality of knowledge graphs depends heavily on their sources. Current methods for evaluating these sources are often slow and not scalable. …”
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Noise Reduction with Recursive Filtering for More Accurate Parameter Identification of Electrochemical Sources and Interfaces by Mitar Simić, Milan Medić, Milan Radovanović, Vladimir Risojević, Patricio Bulić

“…Filtering is embedded in the estimation procedure, while the optimal value of the recursive filter weighting factor is self-tuned based on the proposed search method. …”
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Advancing the accuracy of clathrin protein prediction through multi-source protein language models by Watshara Shoombuatong, Nalini Schaduangrat, Pakpoom Mookdarsanit, Jaru Nikom, Lawankorn Mookdarsanit

“…To enhance prediction performance, we utilized a feature selection method to optimize these fused feature embeddings. …”
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GERMANIUM LAYERS ON SILICON PRODUCED BY THERMAL CRYSTALLIZATION FROM A DISCRETE LIQUID SOURCE by Sergei Nikolaevich Chebotarev, Alexey Nikolaevich Yatsenko, Vladimir Nikolaevich Lozovskii, Viktor Pavlovich Popov, Polina Borisovna Seredina, Lidiya Mikhailovna Goncharova

“…Features of a method of thermal crystallization from a discrete liquid source through a little vacuum zone to produce thin ilm Ge/Si heterostructures onto large substrates were investigated. …”
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FORECASTING VALUES OF CHROMATICITY OF DRINKING AND SOURCE WATERS USING ARIMA MODEL AND NEURAL NETWORK by D. V. Makarov, E. A. Kantor, N. A. Krasulina, A. V. Greb, Z. Z. Berezhnova

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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…Study Region: Mahanadi River Basin, Odisha: Study Focus: Surface water is the primary source of water supply. So, complex decision-making procedures and management techniques are required to optimize between information needs and information obtained from water quality monitoring networks. …”
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Agriculturally Sourced Multidrug-Resistant <i>Escherichia coli</i> for Use as Control Strains by James E. Wells, Lisa M. Durso, Abasiofiok M. Ibekwe, Jonathan G. Frye, Manan Sharma, Clinton F. Williams, Md Shamimuzzaman

“…Ideally, control strains should be representative of the assay target and be widely available from reputable sources. However, for work involving antibiotic resistance most controls come from human and veterinary clinical sources and are not optimized for work in agriculturally impacted environments or not widely available. …”
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