Nature imagery's influence on ERN amplitude: an examination of Attention Restoration Theory using EEG by Sara A. Collins, Amy S. McDonnell, Emily E. Scott, Glen D. McNay, Mary F. Shannon, Lensky Augustin, Janet Nicole Hoffmann, Sharde Johnson, David L. Strayer, Sara B. LoTemplio

“…Empirical research on the mental health and cognitive benefits of nature immersion has expanded significantly in recent decades, building support for Attention Restoration Theory. …”
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Ultra-short-term Multi-region Power Load Forecasting Based on Spearman-GCN-GRU Model by Junying WU, Xin LU, Hong LIU, Bin ZHANG, Shouliang CHAI, Yunchun LIU, Jianan WANG

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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

“…The proposed model can provide inspiration for the follow-up research of passenger flow prediction, traffic pattern recognition and dynamic scheduling.…”
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Analysis and Modeling of Particle Velocities in Premixed Abrasive Water Jets by Weiqin Zuo, Cheng Huang, Yanwei Liu, Hongkai Han, Fuchang Hao, Fajun Zhao, Fei Huang

“…Hence, the abrasive velocity is the basis of this research, by applying the distribution law of abrasive impact force. …”
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Synthesis of a global daily average gapless land surface temperature dataset from 2003 to 2018 by Xin Pan, Xu Ding, Kevin Tansey, Rufat Guluzade, Penghua Hu, Zi Yang, Suyi Liu, Jie Yuan, Zhanchuan Wang, Ziyu Lv, Wenyi Duan, Yingbao Yang

“…Abstract Land Surface Temperature (LST) plays a crucial role in research in the fields of energy balance, hydrology, meteorology, geography, and ecology, serving as a significant input indicator of widespread interest. …”
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SLAM Algorithm for Mobile Robots Based on Improved LVI-SAM in Complex Environments by Wenfeng Wang, Haiyuan Li, Haiming Yu, Qiuju Xie, Jie Dong, Xiaofei Sun, Honggui Liu, Congcong Sun, Bin Li, Fang Zheng

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Parameter estimation of submarine power cables in offshore applications using machine learning-based methods by Felipe P. de Albuquerque, Rafael Nascimento, Gabriel de Castro Biage, Rooney R.A. Coelho, Ronaldo F. Ribeiro Pereira, Eduardo C. Marques da Costa, Mario L. Pereira Filho, Cassio G. Lopes, José R. Cardoso

“…Monitoring electrical parameters of power transmission systems is essential to ensure reliability and optimal operating conditions. This research presents an accurate methodology for estimation of the sequence parameters of submarine power cables using a data-driven approach based synchrophasor measurements. …”
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Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor by Mayra Cruz-Fernández, J. T. López-Maldonado, Omar Rodriguez-Abreo, Alondra Anahí Ortiz Verdín, J. Iván Amezcua Tinajero, Idalberto Macías-Socarrás, Juvenal Rodríguez-Reséndiz

“…The study of dynamic models and their parameterization remains a relevant topic in research. Motors and their models have been extensively analyzed, studied, and parameterized using various techniques due to their broad applicability in motorering and industrial settings. …”
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U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal by Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang

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Visual analysis of LLM-based entity resolution from scientific papers by Siyu Wu, Yi Yang, Weize Wu, Ruiming Li, Yuyang Zhang, Ge Wang, Huobin Tan, Zipeng Liu, Lei Shi

“…With the advent of large language models (LLMs) such as GPT-4, significant improvements over conventional machine learning approaches have been achieved due to LLM’s capability on entity resolution integrate abilities such as understanding multiple types of text. This research introduces a new visual analysis pipeline that integrates these advanced LLMs with versatile visualization and interaction designs to support batch entity resolution. …”
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Neural Network-based CF4 and SF6/CF4 Detection in High Altitude and Extreme Cold Regions by Rukuo MA, Jie DONG, Yatian WANG, Guoxin YI, Xianghao DING, Le MA

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An intelligent bridge multi-dimension deflection IoT monitoring system based on laser datum and imaging by Dan Zhao, Huifeng Wang, Hao Du, Haoyi Cheng, Lu Peng, Yaru Liang, He Huang, Yunmeng Li

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Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed by Rukai Wang, Ximin Yuan, Fuchang Tian, Minghui Liu, Xiujie Wang, Xiaobin Li, Minrui Wu

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The Spatial Dimming Scheme for the MU-MIMO-OFDM VLC System by Zhen Feng, Caili Guo, Zabih Ghassemlooy, Yang Yang

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Investigating the Effect of Grooves on the Hydraulic Parameters of a Sharp-crested Trapezoidal Side Weir by R. Daneshfaraz, E. Aminvash, R. Omidvar, V. Süme, H. O. Marangoz, E. Yılmaz

“…The validation with experimental data by comparison showed that the relative error in the range of 0.4-2.6%. It was found from the results that the discharge coefficient increases in the no-grooved model and decreases in the grooved model. …”
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Application of the Correlation Measurement Method for Reconstructing of the Velocity Profile with Spatial and Temporal Discretization in Studies of the Hydrodynamics of Turbulent F... by S. M. Dmitriev, A. E. Khrobostov, D. N. Solncev, A. A. Barinov, A. A. Chesnokov, I. A. Konovalov, M. A. Makarov, T. K. Zyryanova

“…The correlation method for measuring of the coolant fl rate is used in the operation of nuclear power plants and is widespread in research practice including study of turbulent fl    hydrodynamics. …”
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Combining machine learning with UAV derived multispectral aerial images for wheat yield prediction, in southern Brazil by Henrique dos Santos Felipetto, Erivelto Mercante, Octavio Viana, Adão Robson Elias, Giovani Benin, Lucas Scolari, Arthur Armadori, Diandra Ganascini Donato

“…This research aims to evaluate the performance of machine learning algorithms and multispectral aerial images in estimating wheat grain yield, contributing to the eradication of hunger and food security. …”
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The effect of conservation agriculture technologies adoption on food production and security in Northern Malawi: evidence from Mzimba district by George N. Chidimbah Munthali, George N. Chidimbah Munthali, He Puming, Lazarus Obed Livingstone Banda, Peter Stephen Donald Ngulube, Gama Rivas Daru, Thokozani Mzumara, Moses M. N. Chitete, Zondiwe Mabilabo Jere

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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

“…ODESA is the first network to have end-to-end multi-layer online local supervised training without using gradients and has the combined adaptation of weights and thresholds in an efficient hierarchical structure. This research shows that the network architecture and the online training of weights and thresholds can be implemented efficiently on a large scale in hardware. …”
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False data intrusion detection method for power grid based on deep machine learning by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

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