Enhancing Photovoltaic Panel Segmentation in Remote Sensing Imagery: A Comparative Study of Attention-Integrated UNet Models by M. Q. Alkhatib, M. Al-Saad, N. Aburaed, M. S. Zitouni, S. Almansoori, H. Al-Ahmad

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Urban Landscape Recovery and LULC Analysis: A Deep Learning Approach to Post-Extreme Rainfall Impacts in Dubai by X. Hong

“…This study utilizes high-resolution PlanetScope imagery and a U-Net deep learning model to assess the flood impact and analyze post-rainfall recovery patterns in Dubai’s urban landscape. …”
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Spectral and Spatial Attention Fusion for Building Segmentation in Remote Sensing Imagery by M. Chendeb El Rai, M. Darweesh, A. Beya Far, A. Gawanmeh

“…MBSSFA-Net implements a dual encoder designed to exploit the complementary spectral information provided by the Near-Infrared and the RGB bands, to improve the feature representation and the segmentation accuracy. …”
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UNS Geo: LiDAR Dataset for point cloud classification in urban areas by M. Govedarica, G. Jakovljevic, I. Ruskoviski, V. Pajic

“…To validate the performance of our dataset, the labelled point cloud is used for training the state-of-the-art networks (i.e. PointNet, PointNet++). Moreover, since UNS Geo includes the RGB per point information, the influence of spectral information on classification results is evaluated. …”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

“…In this paper, we propose a morphologically augmented fine-tuned DenseNet-121(MAFDN) LULC classification model to automate the categorization of high spatial resolution scene images for environmental conservation. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

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Two Decades of Coastal Development across the Arabian Gulf: Insights from Remote Sensing and Machine Learning by B. Dahy, R. Sousa, M. Sultan, J. A. Burt

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ADCGNet: Attention-based dual channel Gabor network towards efficient detection and classification of electrocardiogram images by Joseph Roger Arhin, Xiaoling Zhang, Kenneth Coker, Isaac Osei Agyemang, Wisdom Kwame Attipoe, Francis Sam, Isaac Adjei-Mensah, Emmanuel Agyei

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A fast and efficient green apple object detection model based on Foveabox by Weikuan Jia, Zhifen Wang, Zhonghua Zhang, Xinbo Yang, Sujuan Hou, Yuanjie Zheng

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Graph-based reinforcement learning for software-defined networking traffic engineering by Jingwen Lu, Chaowei Tang, Wenyu Ma, Wenjuan Xing

“…GRL-TE introduces three key innovations: (1) TopoFlowNet, a graph neural network architecture that models WANs as bipartite graphs with edge nodes representing physical links and path nodes representing candidate paths, enabling efficient bidirectional information propagation through GINConv layers while MLP modules handle collaborative relationships among paths serving the same demand; (2) A one-step A2C mechanism specifically designed for TE with immediate reward structure, eliminating the need for future state estimation and significantly simplifying training; (3) Integration of ADMM as a post-processing step to iteratively reduce constraint violations while improving solution quality. …”
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Comparative Analysis of Fine-Tuned Foundation Models for Land Cover Classification using Sentinel-2 Imagery, Study Area: Sumatra and Kalimantan, Indonesia by W. Wiratama, M. K. Chong, Y. L. Lim, C. J. Ho

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Water Segmentation from SAR Images with the Presence of Speckle Noise by R. Larionov, A. Sennikov, V. Khryashchev

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Querying 3D point clouds exploiting open-vocabulary semantic segmentation of images by A. Alami, A. Alami, F. Remondino

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Integrating LiDAR Point Cloud Classification and Building Footprints for Enhanced 3D LOD Building Modeling: A Deep Learning Approach by L. Lakshmanan, S. Nagarajan

“…In this research, we use RandLA-Net, a cutting-edge deep learning algorithm to classify LiDAR point cloud data to distinguish building structures. …”
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Investigating Biomass and Water Productivity in the United Arab Emirates: A Case Study of Al Ain Oases by K. Alhebsi, M. ElKamali, S. Albedwawi, K. AlArfati, K. Hussein

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Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS) by A. Nerves, F. D. Rivera, F. D. Rivera, A. Blanco, A. Blanco, Y. Tirol, K. Nadaoka

“…With the use of satellite imagery, coupled with Remote Sensing and Geographical Information System (GIS) techniques, this study examines the spatio-temporal variability in erosion and accretion patterns. …”
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An Open-Source Deep Learning Framework for Scalable Urban Heat Island Detection Using Geospatial Data by M. Akintola, G. Neziri

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Method for spherical camera to 3D LiDAR calibration and synchronization with example on Insta360 X4 and LiVOX MID 360 by J. Bedkowski, M. Pełka, K. Majek, M. Matecki

“…Microcontroller (ESP-8285) communicates using USB. We incorporated ResNet-18 based binary classifier to classify LEDs. …”
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Multi-temporal crack segmentation in concrete structures using deep learning approaches by S. Harb, P. Achanccaray Diaz, M. Maboudi, M. Gerke

“…Therefore, we compare a Swin UNETR trained on multi-temporal data with a U-Net trained on mono-temporal data to assess the effect of temporal information compared with conventional single-epoch approaches. …”
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Evaluate the Impact of Class Granularity in Point Cloud Semantic Segmentation on DTM Accuracy by H. A. Sadeq

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