Local Sub-Block Contrast and Spatial–Spectral Gradient Feature Fusion for Hyperspectral Anomaly Detection by Dong Zhao, Xingchen Xu, Mingtao You, Pattathal V. Arun, Zhe Zhao, Jiahong Ren, Li Wu, Huixin Zhou

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The Place of Local Field Potentials in Deep Brain Stimulation Programming for Parkinson’s Disease: A Review by Chun Him Shelton Leung, Hugh D. Simpson, Dominic Thyagarajan

“…Results: Analyzing LFPs clearly has the potential to assist or streamline DBS programming in clinical practice, but there are knowledge gaps and challenges to overcome, especially in the utilization of intraoperative LFPs. Conclusions: More research is required to compare different algorithms that utilize LFPs in DBS programming to identify a simple, practical and time-saving algorithm incorporating reliable LFP biomarkers that will enhance the DBS programming experience for both patients and clinicians.…”
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Study on Tooth Surface Roughness Modeling of Form Grinding Considering the Change of the Local Grinding Condition by Chen Xiaoqi, Tang Cheng, Liao Xianggui, Zhou Weihua, Tang Jinyuan

“…The model can well reflect the surface roughness distribution along the tooth profile under the local grinding strip difference. The work of this study puts forward a new understanding of the formation mechanism of the surface roughness of the formed grinding teeth and provides more reference and basis for the follow-up research.…”
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Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors by Vikas R. Bhat, Karunakar Kotegar, H. Anitha

“…The analysis revealed that the proposed algorithms with VCG priors (that are extracted from the VCG signals) in the Bayesian framework significantly improved MCG source localization in cases of Myocardial Ischemia. …”
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Employee attendance system using face recognition and GPS using local binary pattern histogram by Narahari Vigraha Prasada, Ikrimach

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Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

“…Achieving the sustainable development goals puts new demands on land use/land cover (LULC) forecasting and thermal environment improvement. Local climate zone (LCZ) characterization reduces LULC uncertainty in climate research. …”
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Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters by Jahedul Islam, Sheikh Tanzim Meraj, Ammar Masaoud, Md. Apel Mahmud, Amril Nazir, Muhammad Ashad Kabir, Md. Moinul Hossain, Farhan Mumtaz

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Partial Discharge Localization Method Based on UHF Wireless Sensor Array in Air-insulated Substation by Shuai YAN, Pengyu LI, Gaojie WANG, Qiang LI, Fan WU, Lingen LUO

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Design of netted muskmelon digital twin growth model based on HMM+LSTM algorithm by LU Peng, LIU Mingtang, WU Shanshan, LI Bin, LI Shihao, WANG Changchun, YANG Yangrui, JIANG Enhui

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A node influence ranking algorithm combining k-shell iteration and node degree. by Yating Ji, Lequn Liu, Shujia Li, Pu Lu, Qimei Tang

“…To address this issue, we propose a node influence ranking algorithm that integrates K-shell iteration, node degree, and neighbor information, considering both global network position and local topology. …”
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Impact of the Algorithmization and Policies of Internet Platforms on Contemporary Internet Art: RYTP Case Study by Sofia A. Volkova

“…As a result of YouTube algorithm changes and their appearance on VK, we can observe a displacement of local projects in favor of commercialized content, and artists tending to concentrate more on their micro-communities, rather than on the public community. …”
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An adaptive chaotic league championship algorithm for solving global optimization and engineering design problems by Tanachapong Wangkhamhan, Jatsada Singthongchai

“…This paper introduces a novel approach to global numerical optimization through the development of an Adaptive Chaotic League Championship Algorithm (AC-LCA). Our methodology enhances the conventional League Championship Algorithm (LCA) by integrating an adaptive chaotic local search mechanism. …”
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THREE-DIMENSIONAL VELOCITY STRUCTURE OF THE CRUST IN CENTRAL LAKE BAIKAL FROM LOCAL SEISMIC TOMOGRAPHY by L. Yu. Eponeshnikova, A. A. Duchkov, D. P.-D. Sanzhieva, S. V. Yaskevich

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Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting by Chuqin Huang, Emily Zheng, Wenhan Zheng, Huijuan Zhang, Yanda Cheng, Xiaoyu Zhang, Varun Shijo, Robert W. Bing, Isabel Komornicki, Linda M. Harris, Ermelinda Bonaccio, Kazuaki Takabe, Emma Zhang, Wenyao Xu, Jun Xia

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Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

“…The results could provide suggestions for the daily operation decision-making of the project. The TRUN algorithm was applied to the optimization scheduling research of cascade pump stations, and the results showed that TRUN had 67, 56 and 46 optimal values in 100 sets of comparison data for each single-stage pumping station, and the total number of optimal values had a clear advantage among the six algorithms, in the optimization results of single-stage pumping stations. …”
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Concept of Reference Diagnostics as the Foundation for Developing Diagnostic Algorithm to Support Doctor’s Decision-Making by M. A. Yakushin, A. V. Vorobeva, M. D. Vasiliev, A. P. Kudrin, T. I. Yakushina, O. Yu. Arseenkova

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Fast Identification and Detection Algorithm for Maneuverable Unmanned Aircraft Based on Multimodal Data Fusion by Tian Luan, Shixiong Zhou, Yicheng Zhang, Weijun Pan

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Optimizing energy forecasts at Boma for 2023 to 2053 Using machine learning techniques of the PSO algorithm by André Mampuya Nzita, Bernard Ndaye Nkanka, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi

“…This research was conducted to optimize energy consumption forecasting in the commune of Boma, in the Democratic Republic of Congo, in the face of persistent imbalances between energy production and demand. …”
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CSpredR: A Multi-Site mRNA Subcellular Localization Prediction Method Based on Fusion Encoding and Hybrid Neural Networks by Xiao Wang, Wenshuai Suo, Rong Wang

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FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events by Yannek Nowatzky, Francesco Friedrich Russo, Jan Lisec, Alexander Kister, Knut Reinert, Thilo Muth, Philipp Benner

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