Attention-based hybrid contrastive learning for unsupervised person re-identification by Weihao Qin, Yongxia Li, Jianguang Zhang, Xianbin Wen, Jiajia Guo, Qi Guo

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Urban Air Mobility Vertiport’s Capacity Simulation and Analysis by Antoni Kopyt, Sebastian Dylicki

“…The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. …”
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INFORMATION TECHNOLOGY FOR AUTOMATED ANALYSIS OF DEGRADATION AND RESTORATION PROCESSES OF COMPLEX ORGANIZATIONAL AND TECHNICAL SYSTEMS by Andrey V. Tristan, Sergey V. Osiyevskiy, Valery G. Patalaha

“…Modern information technologies wear away spatial borders between the objects of cooperation, from one side simplifying of communication processes, and from other - complicating their organizational and functional structure. …”
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Geospatial modeling of snow avalanches on the Šar Mountains, Balkan Peninsula by Durlević Uroš

“…Snow avalanches are among the most significant natural hazards worldwide in high mountain areas. Mapping the spatial distribution of avalanches is one of the initial steps in avalanche management. …”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…To address these issues, coverage optimization techniques are employed to maximize spatial coverage while minimizing energy consumption and deployment costs. …”
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Testing Linear Regressions by StatsModel Library of Python for Oceanological Data Interpretation by Polina Lemenkova

“…The study area is focused on the Mariana Trench, west Pacific Ocean. The research aim is to investigate correlation between various factors, such as bathymetric depths, geomorphic shape, geographic location on four tectonic plates of the sampling points along the trench, and their influence on the geologic sediment thickness. …”
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SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation by Maria Nancy A, K. Sathyarajasekaran

“…Unfortunately, most existing brain tumour segmentation algorithms use inadequate 2D picture segmentation methods and fail to capture the spatial correlation between features. …”
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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…An ensemble deep learning model is presented in this research for the diagnosis of diabetes which includes three steps. …”
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Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

“…The importance of this work is in the opportunity to shift diagnostic paradigms by employing deep learning algorithms, including CNNs, LSTM networks, and GNNs to analyze spatial, temporal, and relational patterns across multi-modal data. …”
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Wideband Reflectarray Antennas in the Microwave Range by L. М. Liubina, S. V. Ballandovich, G. A. Kostikov, Yu. G. Antonov

“…The phase error minimization algorithms were adapted to work in the extended frequency range.Results. …”
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SARS-COV-2 PREVALENCE IN INDIA COMPARED TO THE REST OF THE GLOBE AND ASCERTAINS EPIDEMIOLOGICAL CHARACTERISTICS ASSOCIATED WITH THE COVID-19 PANDEMIC DURING 2020 IN INDIA by M. Rajesh Kumar Rao, Rabindra N. Padhy, Manoj Kumar Das

“…The pandemic curves of COVID-19 resulted in daily peaks most significantly, and the cumulativennumber of cases increased tremendously with an upward trend. Analytical, spatial, and temporal research studies will be carried out to understand the effect of climate change and indicators that correlate with the epidemiological characteristics of the emerging coronavirus.…”
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Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning by Nora Rajs, Yinon Harush-Brosh, Ron Raisch, Ravit Yakobi Arancibia, Amani Zoabi, Guy Nevet Golan, Moshe Shpitzen, Sarena Wiesner, Michal Levin-Elad, Tommy Kaplan, Katherine Margulis

“…This research, conducted in collaboration between police forensic units and an academic institution, integrates seamlessly into practical forensic applications.…”
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Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth by Sunny Sun-Mack, Yongxiang Hu, Xiaomei Lu, Yan Chen, Ali Omar

“…However, passive microwave sensors like the Advanced Microwave Scanning Radiometer 2 (AMSR-2) offer the potential for more frequent and spatially extensive observations.MethodsWe developed a neural network (NN) algorithm to estimate snow depth over Arctic sea ice using multi-channel brightness temperatures from AMSR-2, combined with humidity profiles and surface temperatures from the Global Modeling and Assimilation Office (GMAO) Goddard Earth Observing System for Instrument Teams (GEOS-IT) product. …”
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Evaluation of ecological environment quality in China's mining areas by remote sensing: A review by LI Feiyue, LI Jun, XIAO Wu, ZHANG Chengye, WANG Shanshan, YANG Junquan, ZHANG Xiaoping, CHENG Yang

“…Potential research opportunities include expanding accessible indicators by remote sensing, constructing a framework for integrated data collection on the surface and underground, improving the data quality of remote sensing indicators, constructing a new indicator system for evaluation using remote sensing, and developing cloud computing algorithms.…”
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Technological Advancements in Human Navigation for the Visually Impaired: A Systematic Review by Edgar Casanova, Diego Guffanti, Luis Hidalgo

“…This study emphasizes the great advances with the integration of sensors such as high-precision GPS, ultrasonic sensors, Bluetooth, and various assistance apps for object recognition, obstacle detection, and trajectory generation, as well as haptic systems, which provide tactile information through wearables or actuators and improve spatial awareness. Current navigation algorithms were also identified in the review with methods including obstacle detection, path planning, and trajectory prediction, applied to technologies such as ultrasonic sensors, RGB-D cameras, and LiDAR for indoor navigation, as well as stereo cameras and GPS for outdoor navigation. …”
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DBSANet: A Dual-Branch Semantic Aggregation Network Integrating CNNs and Transformers for Landslide Detection in Remote Sensing Images by Yankui Li, Wu Zhu, Jing Wu, Ruixuan Zhang, Xueyong Xu, Ye Zhou

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Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…Its defining feature lies in the active application of artificial intelligence methods, particularly machine learning and deep learning, to address specific tasks aimed at ensuring sustainable crop production. (Research purpose) The aim of this study is to analyze data structures and compare machine learning and deep learning algorithms used in used in crop yield prediction. …”
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Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

“…Buildings account for a substantial portion of global energy consumption, and research indicates that occupant behavior can significantly influence energy use and building performance. …”
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New directions in mapping the Earth’s surface with citizen science and generative AI by Linda See, Qingqing Chen, Andrew Crooks, Juan Carlos Laso Bayas, Dilek Fraisl, Steffen Fritz, Ivelina Georgieva, Gerid Hager, Martin Hofer, Myroslava Lesiv, Žiga Malek, Milutin Milenković, Inian Moorthy, Fernando Orduña-Cabrera, Katya Pérez-Guzmán, Dmitry Schepaschenko, Maria Shchepashchenko, Jan Steinhauser, Ian McCallum

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Reconstruction techniques for accelerating dynamic cardiovascular magnetic resonance imaging by Andrew Phair, René M. Botnar, Claudia Prieto

“…ABSTRACT: Achieving sufficient spatial and temporal resolution for dynamic applications in cardiovascular magnetic resonance (CMR) imaging is a challenging task due to the inherently slow nature of CMR. …”
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