Research on Safety Monitoring Management System of Earth-Rock Dams Based on BIM+GIS and Its Application by ZHANG Xiaoyang, HANG Xuchao, JIA Yuhao, QIAN Feng

“…In addition,a three-dimensional (3D) design solution for earth-rock dams based on Bentley software is put forward to build a fine 3D model with unique codes connected to the whole process of instrument management.Thus,multi-source data are collected and integrated into this system to ensure system applications.The system functions mainly include visual displays,monitoring instrument management,as well as data management and analysis.The application of the system in earth-rock dams in Hubei Province shows good results,which has laid a solid foundation for the digital and intelligent operation and maintenance of engineering.…”
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BASICS OF APPLICABILITY OF AI LINKED TO LEGAL ASPECTS by Sidhanta KUMAR BALABANTARAY1, Anwesha MISHRA, Prajyukta SAI, Atiurr RAHMAN

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Analysis of the Fast Track Method by Sandra Maria de Amaral Chaves, Luiz Eduardo de Morais Rodrigues, Silvia Cristina Rufino, Robisom Damasceno Calado

“…In this intervention study, we sought to answer guiding questions with data mining of 1,793 improvements (Good Practices – Kaizens) with the Fast Track Method. …”
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Design of a multi-domain information fusion system for urban warfare based on unmanned aerial vehicles by CHEN Lingzi, LI Fei, HAN Shunli

“…The key technologies of UAV cluster collaborative deployment and networking, autonomous collection of complex urban environmental data, information fusion and spectrum completion across physical space and electromagnetic space, and multi-domain joint spectrum situation evolution prediction are analyzed. …”
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Implementation of the Advanced Encryption Standard (AES) Algorithm and Bit Plane Complexity Segmentation (BPCS) Steganography Technique for Enhancing Text File Security by Afthar Kautsar, Muhammad Ikhsan

“…Next, the resulting ciphertext is embedded into a digital image using the BPCS technique, which selects bit-planes with high complexity for insertion without significantly altering the visual appearance of the image. Testing is conducted by measuring the accuracy of data extraction and the impact on image quality. …”
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A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks by Muhammad Zeeshan Khan, Saira Jabeen, Muhammad Usman Ghani Khan, Tanzila Saba, Asim Rehmat, Amjad Rehman, Usman Tariq

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Optimized deep learning models for stress-based stroke prediction from EEG signals by Sivasankaran Pichandi, Gomathy Balasubramanian, Venkatesh Chakrapani, J. Samuel Manoharan

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Entering the Emperor’s Villa: an integrated methodology to enrich cognitive accessibility of an archaeological site by Silvia Bertacchi, Benedetta Adembri

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Understanding Urban Park-Based Social Interaction in Shanghai During the COVID-19 Pandemic: Insights from Large-Scale Social Media Analysis by Haotian Wang, Tianyu Su, Wanting Zhao

“…A two-step analytical approach was employed: first, machine learning-based keyword analysis identified review data related to social interaction, leading to the construction of two indicators: social interaction intensity and social interaction recovery rate. …”
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Harnessing Multi-Modal Synergy: A Systematic Framework for Disaster Loss Consistency Analysis and Emergency Response by Siqing Shan, Jingyu Su, Junze Li, Yinong Li, Zhongbao Zhou

“…However, the consistency between textual descriptions and visual representations varies significantly. Consistent multi-modal data are crucial for helping the public understand the disaster situation and support rescue efforts. …”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. …”
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Using the LTO Network Level 1 Blockchain to Automate Inter-Organizational Business Processes by Khrypko Serhii L., Shcherbakov Serhii S.

“…The article describes a scenario-based approach to defining a workflow containing states, actions, participants, assets, and embedded data objects. The features of data objects, participant identifiers, process execution and its adaptability are detailed. …”
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AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening by C. Kishor Kumar Reddy, Hafsa Ihteshamuddin Ahmed, Muhammad Mohzary, Muhammad Mohzary, T. Monika Singh, Mohammed Shuaib, Shadab Alam, Hani Mohammed Alnami, Hani Mohammed Alnami

“…Data pre-processing and augmentation techniques have been added to strengthen the model’s generalization ability and enhance model performance, which is visualized using Grad-Cam.ResultsThe proposed model achieves exceptional results with an accuracy of 98.57%, approximate precision of 98.7%, Recall of about 98.47%, and specificity of 98.67%. …”
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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

“…BOLD response can be fitted using the population receptive field (PRF) model to reveal how visual input is represented on the cortex (Dumoulin and Wandell, 2008). …”
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A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

“…ReYOLOv8 incorporates a low-latency, memory-efficient method for encoding event data called Volume of Ternary Event Images (VTEI) and introduces a novel data augmentation technique based on Random Polarity Suppression (RPS) optimized for event-based sensors and tailored to leverage the unique attributes of event data. …”
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The Analysis and the Optimizat ion of an Auto nomous Mobile Plat form Equipped with a Manipulator Arm for Sample Retrieval in Rough Terrain by A.M. Țîțu, D. Bâlc, M. Nabiałek, M.L. Rozemarie, E. Bâlc

“…It provides operators with a visual perspective that surpasses mere data points, enabling more informed decision-making and better situational awareness. …”
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Identifying the spatial patterns of population displacement during wildfires in Valparaíso, Chile by Eduardo Graells-Garrido, Francisco Rowe

“…We present a data visualisation approach to support the rapid humanitarian response during the 2024 Valparaíso wildfires in Chile. …”
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Development of a nomogram for predicting depression risk in patients with chronic kidney disease: an analysis of data from the US National Health and Nutrition Examination Survey,... by Bin Wu, Xu Huang, Xiao Liang, Tianhao Zhang, Ru Le Lai, Jia Yin Cheng, Yuan Yue Zhu

“…This study aims to create a predictive model to identify patients with CKD at high risk for depression.Design Analysis of cross-sectional data.Setting US National Health and Nutrition Examination Survey (2007–2014).Participants A total of 2303 patients with CKD (weighted=17 422 083) with complete data were included in the analysis.Outcome measures We used the least absolute shrinkage and selection operator regression for variable selection and constructed a weighted logistic regression model through stepwise backward elimination based on minimisation of the Akaike information criterion, visualised with a nomogram. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESO... by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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Spatial expansion of artisanal and small-scale gold mining nearby the Nile River, Sudan and its potential environmental impacts: Insights from Planetscope data and machine learning by Abdelmajeed A. Elrasheed, Yousif Y. Obaid, Szilárd Szabó

“…First, a visual inspection and analysis were performed to evaluate how distinguishable ASGM sites are from rock units/geological features in color composites; then, reference data were collected from processed images for training and testing, and supervised classification was conducted using binary and multiclass RF classifiers. …”
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