LFG: An easy-to-use realistic synthetic LandFill Generator by Thanos Petsanis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

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Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations by Saverio Ieva, Ivano Bilenchi, Filippo Gramegna, Agnese Pinto, Floriano Scioscia, Michele Ruta, Giuseppe Loseto

“…The framework prioritizes the customizability of AI algorithms and real-time information sharing between stakeholders. …”
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Enhancing the prediction of groundwater quality index in semi-arid regions using a novel ANN-based hybrid arctic puffin-hippopotamus optimization model by Moustafa Gamal Snousy, Hussein M. Elshafie, Ashraf R. Abouelmagd, Najmaldin Ezaldin Hassan, Mahmoud E. Abd-Elmaboud, Ali Akbar Mohammadi, Ashraf M.T. Elewa, E. EL-Sayed, Ahmed M. Saqr

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GrapeSLAM: UAV-based monocular visual dataset for SLAM, SfM and 3D reconstruction with trajectories under challenging illumination conditionszenodo by Kaiwen Wang, Sergio Vélez, Lammert Kooistra, Wensheng Wang, João Valente

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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…Examining the indicators of the creative city infrastructure across the regions and how they are distributed uncovers both imbalances and balances in the allocation of facilities and benefits, providing a foundation for effective planning for improvement and planning priorities to be realized favourably. …”
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On the academic ideology of “Sorting the gangue is sorting the images” by Hongwei MA, Ye ZHANG, Peng WANG, Xiangang CAO, Zhen NIE, Xiaorong WEI, Wenjian ZHOU, Mingzhen ZHANG

“…A coal gangue sorting cube is constructed, which can improve the accuracy of coal gangue sorting; An image-based coal gangue matching tracking and path planning method is proposed for dynamic coal gangue tracking, which can improve the accuracy and reliability of sorting; Aiming at the problem of intelligent collaborative sorting of multiple sorters, it is proposed to construct a comprehensive benefit function of sorters based on the coal gangue image information database to achieve optimal allocation of multiple tasks for multiple sorters, and to integrate reinforcement learning methods to achieve intelligent collaborative control of multiple sorters and optimal configuration of the number of sorters. …”
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Identifying the Combined Impacts of Sensor Quantity and Location Distribution on Source Inversion Optimization by Shushuai Mao, Jianlei Lang, Feng Hu, Xiaoqi Wang, Kai Wang, Guiqin Zhang, Feiyong Chen, Tian Chen, Shuiyuan Cheng

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Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics by Fengda Li, Zeyi Li, Hong Xu, Gang Kong, Ze Zhang, Kaiyuan Cheng, Longyuan Gu, Lei Hua

“…This method, consisting of Variational Autoencoder (VAE), Information Gain (IG) and Convolutional Neural Network (CNN), is compared with four machine learning algorithms (Random Forest, Decision Tree, K-Nearest Neighbour, Gaussian Neff Bayes). …”
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Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library by Fatih Fehmi Şimşek, Süleyman Savaş Durduran

“…As well as being reference data in the LPIS update, current land cover and land use classification results with satellite images also provide statistical information about which class has changed over the years and how much the class or classes need to be updated, and will also provide the planning of the update to be made on a national scale. …”
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Current Status and Trends of Wall-Climbing Robots Research by Shengjie Lou, Zhong Wei, Jinlin Guo, Yu Ding, Jia Liu, Aiguo Song

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Deep-learning-based point cloud completion methods: A review by Kun Zhang, Ao Zhang, Xiaohong Wang, Weisong Li

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Can Stereoscopic Density Replace Planar Density for Forest Aboveground Biomass Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing’anling, China by Xuan Mu, Dan Zhao, Zhaoju Zheng, Cong Xu, Jinchen Wu, Ping Zhao, Xiaomin Li, Yong Pang, Yujin Zhao, Tianyu An, Yuan Zeng, Bingfang Wu

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AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol by Fergus Gleeson, Alex Novak, Indrajeet Das, Ruchir Shah, Edwin van Beek, Sarim Ather, Howell Fu, Nabeeha Salik, Alan Campbell, Farhaan Khan, Abdala Trinidad Espinosa Morgado, Marusa Kotnik, Louise Wing, John Murchison, Jong Seok Ahn, Sang Hyup Lee, Ambika Seth

“…The study is currently ongoing with a planned end date of 31 December 2024.Ethics and dissemination The study has been approved by the UK Healthcare Research Authority. …”
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Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis) by ِAshkan Mohammadi, Naser Shafiei Sabet, Alireza Shakiba

“…After that, the supervised classification operation was monitored by the SVM algorithm and the detection and determination of the sprawl pattern in the study area. …”
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Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods by Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Futao Wang, Zhenqing Wang

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A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand by Nan Xu, Hao Xu, Wenyu Li, Hui Lu, Yongze Song, Jiaqi Yao, Yue Ma, He Ren, Tingting He, Fan Mo, Peng Gong

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Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India-An application of small area estimation techniques. by Hukum Chandra, Kaustav Aditya, U C Sud

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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Leveraging advanced information technologies such as the Internet of Things (IoT) and artificial intelligence (AI), these farms enable deep integration of data-driven decision making and intelligent machines. …”
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A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet by Muhammad Waqas Ahmed, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Asaad Algarni, Ahmad Jalal, Jeongho Cho

“…The accurate classification of aerial images is a crucial task in remote sensing, with applications ranging from land cover mapping and urban planning to disaster response and environmental monitoring. …”
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Evaluating the Pattern of Forest Cover Changes Using Fuzzy Object-Oriented Techniques (Case Study: Kaleybar County) by Majid Pishnamaz Ahmadi, keyvan Mohammadzadeh, seyed Asadolah Hejazi

“…In order to obtain a proper planning and management for natural resources, especially forests, accurate and timely information maps are required. …”
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