A 360-degree imagery-multisensor system for visualizing environmental parameters in architecture and urban spaces by Mojtaba Parsaee, André Potvin, Jean-François Lalonde, Marc Hébert, Claude M.H. Demers

“…Furthermore, integrating imagery and sensor data supports the development of immersive virtual and augmented reality applications, offering new opportunities for education and the exploration of effective design solutions.…”
Get full text

Digital equity in a crowded tool space: Navigating opportunities and challenges for equitable implementation of conservation technologies by Karyn M. Tabor, Natasha Stavros, Dawn Biehler, Liliana C. Castillo‐Villamor, Dillon Mahmoudi, Luis Mario Moreno Amado, Margaret B. Holland

Get full text

Systematic review of omni-channel banking and preview of upcoming developments in Germany by Michael Menrad

Get full text

A comprehensive review of disruptive technologies in disaster risk management of smart cities by Chao Han, Shan Zang

“…These technologies include the Internet of Things (IoT), image processing, artificial intelligence (AI), big data, and smartphone applications. The main objective of this article is to investigate potential models for smart city development that would allow us to make better use of disruptive innovations and enhance disaster recovery efforts. …”
Get full text

Combating Illegal Immigration to the EU – the Role of Transport Companies by Agne Vaitkeviciute

“…To delineate the scope of carriers’ obligations towards competent border authorities of the EU Member States and to identify which particular role carriers play in combating illegal immigration to the EU, the applicable legal framework (namely the Carrier Sanctions Directive, the Passenger Data Directive and, to a certain extent, the Removal Directive) are be discussed. …”
Get full text

Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process by Rana Muhammad Amir Latif, Jinliao He

“…The Flood Susceptibility Map (FSM) classified high- and very high-risk zones collectively covering approximately 61.77% of the study area, underscoring significant flood vulnerability across Punjab. The Sentinel-1A data with Vertical-Horizontal (VH) polarization was employed to delineate flood extents in the heavily impacted cities of Dera Ghazi Khan and Rajanpur. …”
Get full text

Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…A crucial step in the forecasting process is the preprocessing of time-series data, which can greatly improve the training quality of neural networks and the precision of their predictions. …”
Get full text

Neural Image Compression and Explanation by Xiang Li, Shihao Ji

Get full text

Fusion of Masked Autoencoder for Adaptive Augmentation Sequential Recommendation by SUN Xiujuan, SUN Fuzhen, LI Pengcheng, WANG Aofei, WANG Shaoqing

Get full text

Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

Get full text

More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

Get full text

Assessing the robustness of VIS-NIR spectroscopy-based soil organic carbon prediction against four wet chemistry methods by Cho-Yin Wu, Po-Hui Wu, Zeng-Yei Hseu

“…Therefore, this study assessed the robustness of a VIS-NIR-based Cubist model trained with Walkley-Black (WB) SOC data (n = 400) from diverse land uses and soil types in Taiwan. …”
Get full text

PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation by Shengyuan Liu, Ruofan Zhang, Mengjie Fang, Hailin Li, Tianwang Xun, Zipei Wang, Wenting Shang, Jie Tian, Di Dong

“…Abstract Federated learning (FL) has shown great potential in addressing data privacy issues in medical image analysis. However, varying data distributions across different sites can create challenges in aggregating client models and achieving good global model performance. …”
Get full text

Forecasting high-dimensional spatio-temporal systems from sparse measurements by Jialin Song, Zezheng Song, Pu Ren, N Benjamin Erichson, Michael W Mahoney, Xiaoye S Li

“…This paper introduces a new neural network architecture designed to forecast high-dimensional spatio-temporal data using only sparse measurements. The architecture uses a two-stage end-to-end framework that combines neural ordinary differential equations (NODEs) with vision transformers. …”
Get full text

A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

Get full text

Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things by A. Sasikumar, Logesh Ravi, Malathi Devarajan, A. Selvalakshmi, Abdulaziz Turki Almaktoom, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…Still, most IIoT data is stored in data centers, making it challenging to transfer data between domains safely. …”
Get full text

Toward User-Centered, Trustworthy, and Grid-Supportive E-Mobility Ecosystems: Comparing the BANULA Architecture Against Existing Concepts by Lukas Smirek, Jens Griesing, Tobias Höpfer, Daniel Stetter

Get full text

Blockchain Approach for Healthcare Using Fog Topology and Lightweight Consensus by Aya Laouamri, Sarra Cherbal, Yacine Mosbah, Chahrazed Benrebbouh, Kamir Kharoubi

“…Background: The internet of things (IoT) has transformed healthcare by integrating various devices and systems, fostering innovation in data management and operational efficiency. However, ensuring data integrity, security and trust within IoT networks remains a pressing challenge, particularly in critical sectors such as healthcare.Objective: This study aims to explore the integration of blockchain technology with IoT systems, focusing on addressing scalability and real-time applicability issues in healthcare data management. …”
Get full text

Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection by Wei Li, Haoran Duan, Qiuzhao Zhang, Jiahui Liang, Wei Duan, Kaikun Zhang, Wenda Wang, Huachao Yang

“…To improve deformation detection utilizing point cloud data, a pre-processing algorithm has been proposed, which incorporates point cloud denoising, centerline calculation, roadbed removal, and relative positioning based on mileage. …”
Get full text

Meta-analysis of H. pylori and the gut microbiome interactions and clinical outcomes by Xiongjian Wu, Haiyan Zhu, Ying Hu, Lei Zhang, Lixing Huang

Get full text