Research on a Method for Identifying Key Fault Information in Substations by Pan Zhang, Lei Guo, Zhicheng Huang, Zhoupeng Rao, Ying Zhang, Zhi Sun, Rui Xu, Deng Li

“…To address these challenges, this study proposes a method of critical fault information identification that integrates a scalable time window with Principal Component Analysis (PCA). …”
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Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI by Wang Xinyu, Fang Shibo, Han Jiahao

“…There are currently two primary approaches for downscaling VOD. One involves integrating active microwave remote sensing, while the other involves integrating optical remote sensing.Currently, there is limited research focused on downscaling VOD, particularly using optical vegetation indices, which is very uncommon.Thus, statistical methods can be employed in conjunction with NDVI to spatially downscale VOD, exploring the feasibility of using optical remote sensing data for VOD downscaling. …”
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Photonic crystal hydrogels based on highly reproducible molding method by Jingyeong Kim, Nguyen Hoang Minh, Da-In Kwon, Kwanoh Kim, Do Hyun Kang, Yeong-Eun Yoo, Jae Sung Yoon

“…The ratio of 50:1 was identified as the optimal composition for the molding method to ensure both mechanical stability and chemical responsiveness. …”
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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…The Convolutional Neural Network (CNN) integrated with a channel-wise attention mechanism explored parameter weight differences and extracted local data features. …”
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DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network by Ping-Huan Kuo, Ssu-Ting Lin, Jun Hu

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Calibration of Integrated Low-Cost Environmental Sensors for Urban Air Temperature Based on Machine Learning by Fang Nan, Chao Zeng, Huanfeng Shen, Liupeng Lin

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Dual‐layer model predictive control‐based scheduling of integrated electricity‐hydrogen‐heat microgrid by Pengfei Han, Xiaoyuan Xu, Zheng Yan, Zhenfei Tan

“…Then, a dual‐layer model predictive control (DLMPC) method is proposed for the integrated electricity, hydrogen, and heating microgrid (IEHHM) scheduling. …”
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Decoupling of Mechanical and Thermal Signals in OFDR Measurements with Integrated Fibres Based on Fibre Core Doping by Clemens Dittmar, Caroline Girmen, Markus Gastens, Niels König, Thorsten Siedenburg, Michael Wlochal, Robert H. Schmitt, Stefan Schael

“…In this paper, a new measurement principle for decoupling mechanical and thermal signals in an OFDR measurement with integrated optical fibres is investigated. Previous methods for decoupling require additional measuring equipment or knowledge about the substrate properties. …”
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Advancing Stem Volume Estimation Using Multi-Platform LiDAR and Taper Model Integration for Precision Forestry by Yongkyu Lee, Jungsoo Lee

“…Consequently, the hybrid volume estimation method, which integrates LiDAR and the taper model, overcomes the limitations of conventional taper curve-based approaches and contributes to improving the accuracy of forest resource monitoring.…”
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Robust Small-Object Detection in Aerial Surveillance via Integrated Multi-Scale Probabilistic Framework by Youyou Li, Yuxiang Fang, Shixiong Zhou, Yicheng Zhang, Nuno Antunes Ribeiro

“…In this study, we introduce a novel and unified detection framework designed to address these issues comprehensively. Our method integrates a Normalized Gaussian Wasserstein Distance loss for precise probabilistic bounding box regression, Dilation-wise Residual modules for improved multi-scale feature extraction, a Hierarchical Screening Feature Pyramid Network for effective hierarchical feature fusion, and DualConv modules for lightweight yet robust feature representation. …”
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Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field by Zhipeng Xiao, Zhang Wei, Zhengyin Tang, Jianqing Guo, Ruijuan Geng, Tuobing Gou

“…To obtain the porosity and permeability model, the empirical formula of porosity and permeability, the SGS method, and the variation range value was input into the lithofacies model. …”
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Integrating Remote Sensing and Proximal Sensors for the Detection of Soil Moisture and Salinity Variability in Coastal Areas by Yan GUO, Zhou SHI, Lian-qing ZHOU, Xi JIN, Yan-feng TIAN, Hong-fen TENG

“…When compared with a map of ECa interpolated by the ordinary kriging method, detail was revealed and the accuracy was increased by 15.3%. …”
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Genetic variants of leptin receptor gene (rs1137101) and obesity risk in prakriti individuals and its pathogenicity prediction using in silico approaches by Manoranjani Murugan, Sourav Musib, Yogesh Vetriselvan, Ilangovan Karthiga, Artchoudane Soccalingam, Melissa Shaelyn Samuel, Irisappan Ganesh, Sambandam Ravikumar

“…Blood samples were collected from these individuals, and DNA was extracted and analyzed for the rs1137101 variation using the PCR–RFLP method. Principal component analysis (PCA) was used to examine clustering patterns among Prakriti, genetic variants, and body composition. …”
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Investigation of Daytime Peak Loads to Improve the Power Generation Costs of Solar-Integrated Power Systems by Stephen Afonaa-Mensah, Qian Wang, Benjamin B. Uzoejinwa

“…Improving daytime loads can mitigate some of the challenges posed by solar variations in solar-integrated power systems. Thus, this simulation study investigated the different levels of daytime peak loads under varying solar penetration conditions in solar-integrated power systems to improve power generation cost performance based on different load profiles and to mitigate the challenges encountered due to solar variation. …”
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PERILAKU HARGA DAN KETERPADUAN PASAR CABAI MERAH KERITING (Capsicum annuum) DI PROVINSI BENGKULU by Sandra Sandra, Putri Suci Asriani, Witman Rasyid

“…The price behavior applied descriptive statistical analysis, to see the fluctuation of price applied the coefficient of variation formula. The analysis of market integration and marked leader applied the method of co-integration and Granger causality test (Engle and Granger model (1987)). …”
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Atmospheric 81Kr as an Integrator of Cosmic‐Ray Flux on the Hundred‐Thousand‐Year Time Scale by J. C. Zappala, D. Baggenstos, C. Gerber, W. Jiang, B. M. Kennedy, Z.‐T. Lu, J. Masarik, P. Mueller, R. Purtschert, A. Visser

“…Abstract The atmospheric abundance of 81Kr is a global integrator of cosmic rays. It is insensitive to climate shifts, geographical variations, and short‐term solar cycle activity, making it an ideal standard to test models of cosmic‐ray flux on the time scale of 105 years. …”
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Distributionally Robust Optimal Scheduling for Integrated Energy System Based on Dynamic Hydrogen Blending Strategy by Yixiao Xiao, Qianhua Xiao, Keyu Wang, Xiaohui Yang, Yan Zhang

“…To mitigate challenges arising from renewable energy volatility and multi-energy load uncertainty, this paper introduces a dynamic hydrogen blending (DHB) strategy for an integrated energy system. The strategy is categorized into Continuous Hydrogen Blending (CHB) and Time-phased Hydrogen Blending (THB), based on the temporal variations in the hydrogen blending ratio. …”
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Exploration of Generative Neural Networks for Police Facial Sketches by Nerea Sádaba-Campo, Hilario Gómez-Moreno

“…The automation of this task, traditionally performed through artistic methods or image composition, has become a challenge that can be tackled with generative neural networks. …”
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Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

“…This article investigates the integration of Variational Autoencoders (VAEs) and Particle Swarm Optimization (PSO) in the realm of generative art and interactive digital installations. …”
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Field programmable silicon microring WDM transceiver leveraging monolithically integrated phase-change materials by Xing Yang, Shihuan Ran, Ziquan Li, Liangjun Lu, Yu Li, Ngon Phu Wai, MingHua Zhang, Guo-Qiang Lo, Jianping Chen, Linjie Zhou

“…We demonstrate the effectiveness of this method by uniformly aligning the resonance wavelengths of four cascaded SbSe-integrated MRRs, each capable of 100 Gbps on–off keying (OOK) modulation and detection, culminating in a combined data rate of 400 Gbps. …”
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