Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

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Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics by Arturs Simkuns, Rodions Saltanovs, Maksims Ivanovs, Roberts Kadikis

“…This paper first provides an overview of recent research on grid cell-based navigation in robotics, focusing on deep learning models and algorithms capable of handling uncertainty and dynamic environments. …”
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Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions by Tarikul I. Milon, Titli Sarkar, Titli Sarkar, Yixin Chen, Jordan M. Grider, Feng Chen, Jun-Yuan Ji, Seetharama D. Jois, Konstantin G. Kousoulas, Vijay Raghavan, Wu Xu

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Advancing coal fire detection model for large-scale areas based on RS indices and machine learning by Jinglong Liu, Feng Zhao, Yunjia Wang, Yanan Wang, Sen Du, Libo Dang, Jordi J. Mallorqui

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Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022 by Matti Kummu, Maria Kosonen, Sina Masoumzadeh Sayyar

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Active Shielding of Power Frequency Magnetic Field in Buildings in the Vicinity of the Electric Airlines by Kuznetsov B.I., Nikitina T.B., Bovdui I.V.

“…The aim is achieved by determination of the number, configuration, spatial arrangement, and currents in compensation coils, setting algorithm of the robust feed-forward active shielding system of the magnetic field, as well as the resulting value of the induction magnetic field at the points of the protected space. …”
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Measuring the Elevation Angle of an Airborne Object by Phase Direction Finding in a Multi-Ring Antenna Array by A. P. Aleshkin, V. V. Vladimirov, A. V. Chestnykh

“…In practice, after performing a number of spatial processing algorithms, the operator obtains the azimuth, range, and speed of the observed object. …”
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High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States by Qiong Wu, John J. Ramirez Avila, Jia Yang, Cunxiong Ji, Shanmin Fang

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Evidence on the performance of nature-based solutions interventions for coastal protection in biogenic, shallow ecosystems: a systematic map by Avery B. Paxton, Trevor N. Riley, Camille L. Steenrod, Brandon J. Puckett, Jahson B. Alemu I., Savannah T. Paliotti, Alyssa M. Adler, Laura Exar, Josette E. T. McLean, James Kelley, Y. Stacy Zhang, Carter S. Smith, Rachel K. Gittman, Brian R. Silliman

“…Potentially relevant articles were deduplicated and then screened by title and abstract with assistance from a machine learning algorithm. Following title and abstract screening, we conducted full text screening, extracted relevant metadata into a predefined codebook, and analyzed the evidence base to determine the distribution and abundance of evidence and answer our research questions on NBS performance. …”
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Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease by Lijuan Zhu, Xiaomeng Shi, Lusong Tang, Haruhiko Machida, Lili Yang, Meixiang Ma, Ruoshui Ha, Yun Shen, Fang Wang, Dazhi Chen

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CFD-based investigation of energy and exergy enhancement in a geothermal heat exchanger with hybrid nanofluid and novel turbulator by As'ad Alizadeh, Joy Djuansjah, Ali Basem, Aman Sharma, Muntadher Abed Hussein, Husam Rajab, Khalil Hajlaoui, R. Thakur

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Perceiving Fifth Facade Colors in China’s Coastal Cities from a Remote Sensing Perspective: A New Understanding of Urban Image by Yue Liu, Richen Ye, Wenlong Jing, Xiaoling Yin, Jia Sun, Qiquan Yang, Zhiwei Hou, Hongda Hu, Sijing Shu, Ji Yang

“…Through developing an innovative natural color optimization algorithm, the oversaturation and color bias of Sentinel-2 imageries were addressed. …”
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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

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Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods by Weiping Kong, Weiping Kong, Lingling Ma, Huichun Ye, Huichun Ye, Jingjing Wang, Chaojia Nie, Binbin Chen, Xianfeng Zhou, Wenjiang Huang, Zikun Fan

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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics by Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach

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Integration of Google Earth Engine, Sentinel-2 images, and machine learning for temporal mapping of total dissolved solids in river systems by Eric Ariel L. Salas, Sakthi S. Kumaran, Robert Bennett, Eric B. Partee, Jason Brownknight, Kellsie Schrack, Bryant Willis

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A photogrammetric approach to the estimation of distance to animals in camera trap images by B. Mirka, C.D. Lippitt, G.M. Harris, R. Converse, M. Gurule, S.E. Sesnie, M.J. Butler, D.R. Stewart, Z. Rossman

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Pemodelan Spasial Lahan Terbangun Kota Jambi by Ayu Mardalena, Supriatna Supriatna, Muhammad Dimyati

“…This study aims to analyze the dynamics of built-up area from 2013 to 2023 and synthesize projections for built-up area in 2033 in accordance with the Regional Spatial Plan (RTRW). The research employs a supervised classification method utilizing the Random Forest (RF) algorithm on Landsat 8 satellite imagery to track changes from the years 2013, 2016, 2019, and 2023, with accuracy validated using the kappa index. …”
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The PKC-β selective inhibitor, Enzastaurin, impairs memory in middle-aged rats. by Mari N Willeman, Sarah E Mennenga, Ashley L Siniard, Jason J Corneveaux, Matt De Both, Lauren T Hewitt, Candy W S Tsang, Jason Caselli, B Blair Braden, Heather A Bimonte-Nelson, Matthew J Huentelman

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Applications of machine learning in potentially toxic elemental contamination in soils: A review by Yan Li, Bao Xiang, Tianyang Wang, Yinhai He, Xiaoyang Liu, Yancheng Li, Shichang Ren, Erdan Wang, Guanlin Guo

“…Hyperspectral data combined with ML methods can predict the content of PTEs in large-scale areas at a low cost. In addition, ML algorithms that integrate environmental covariates offer superior performance in spatial predictions compared with traditional geostatistical methods. …”
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