Spatial and temporal aspects of high streamflow periods within the Danube drainage basin in Bulgaria by Kalin SEYMENOV

“…Three characteristics of the hazard phenomena: time of occurring, frequency and duration are investigated. The analysis is based on daily discharge data collected from 20 gauging stations for the period 2000–2005. …”
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Digitization of Medical Device Displays Using Deep Learning Models: A Comparative Study by Pedro Ferreira, Pedro Lobo, Filipa Reis, João L. Vilaça, Pedro Morais

“…Since most of these devices display clinical information on a screen, this research explores how a standard smartphone camera, combined with artificial intelligence, can be used to automatically extract the displayed data in a simple and non-intrusive way. In particular, this study provides a comparative analysis of several You Only Look Once (YOLO) and Single Shot MultiBox Detector (SSD) models to evaluate their effectiveness in detecting and recognizing the readings on medical device displays. …”
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Social Presence and Satisfaction in Online Learning between Indonesian and Malaysian Students by Eka Putra

“…The social presence and student satisfaction were categorized as good, as there were no items with scores below average. Univariate analysis indicated that the online learning experience and the quality of the network in the place of residence were determining factors for the differences between the variables, while other characteristics, including the country (Indonesia and Malaysia), showed no significant differences. …”
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Career Adaptability and Career Construction as Mediating Variables Between Hardiness and Vocational Identity by Enrique Merino-Tejedor, María José Serrano-Fernández, Maria Boada-Cuerva, Beatriz Sora

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Influence of time conditions on the soil temperature indicators in Kazakhstan by Maira Kussainova, Maxat Toishimanov1, Anel Syzdyk, Timur Tamenov, Nursultan Nurgali, Jiquan Chen

“…The data analysis was carried out using RStudio. The purpose of this study was to analyze the influence some factors such as the year, month, and time of day on the soil temperature indicators. …”
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Mapping Bus and Stream Travel Time Using Machine Learning Approaches by Gopikrishnan Nair, B. Anil Kumar, Lelitha Vanajaskshi

“…However, many transit agencies of Indian cities are installing GPS units in their public transport buses, making them a rich source of data. These buses travel all over the network and record the travel time and location information of vehicles at a certain interval, which can become the best and reliable source of traffic data under such conditions. …”
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Exploring possible climate change amplification of warm-season precipitation extremes in the southeastern Alpine forelands at regional to local scales by S.J. Haas, G. Kirchengast, J. Fuchsberger

“…In this study we hence leverage the WegenerNet and INCA data for the high-resolution exploration of warm-season (Apr–Oct) SDECPEs and assess, through combination with (re)analysis data over 1961–2022, a potential climate-change-induced amplification of such sub-daily precipitation extremes. …”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…High signal-to-noise ratio waveforms were selected, and time-frequency analysis extracted relevant features. Spectrograms labeled with subject data were input into the CVAE, which encoded subject-specific features into a latent space for authentication.ResultsThe proposed heartbeat-based authentication method, validated on 13 subjects, achieved an average balanced accuracy of 97.3% for authentication and an average accuracy of 94.7% for identification. …”
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CHANGES IN YIELDING OF VARIETIES OF WINTER WHEAT AND RYEIN VARIETY TESTING IN POLAND by Ludwik Wicki

“…The aim of the study is to determine the significance of varietal progress and changes in level of inputs on changesin yield level of winter wheat and winter rye varieties in conditions of variety testing. The analysis covered the years2006-2016. The data from post-registration varieties testing coordinated by COBORU were used. …”
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An intelligent method for NIR-based prediction of cashmere fiber and wool fiber using Markov transition field and improved YOLOv8 by Jihong Lian, Yongli Liu, Gufeng Tian, Yunhong Li, Yaolin Zhu, Xin Chen, Yule Men

“…By replacing the backbone network of YOLOv8 with a hierarchical visual transformer using displacement windows, the network’s attention to local frequency bands and peaks is enhanced. …”
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DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments by Ke Xiong, Zhonghao Wu,  Xuzhong Jia

“…The system architecture incorporates specialized components for real-time data collection, processing, and analysis, achieving a detection accuracy of 96.8% with an average response latency of 7.3ms. …”
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A pilot study on the clinical feasibility of 5G remote robot-assisted gastrectomy by Mingze Zhang, Ming Hu, Jing Yang, Wutang Jing, Jin Guo, Hui Cai, Yuntao Ma

“…Methods A retrospective analysis was conducted on the clinical data of two patients who underwent 5G remote surgery robot-assisted gastrectomy at the General Surgery Clinical Center of Gansu Provincial Hospital from June to September 2024. …”
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Research on Simulation and Dynamic Pressure Prediction of Pipeline Transient Conditions Based on Fluent and Deep Learning by Liu Feiyan, Lv Mou, Dong Shen, Li Hang, Lu Chenggang

“…On this basis, based on the transient pressure data, the pipeline transient pressure simulation and prediction model based on the LSTM neural network is constructed to analyze the pressure response characteristics of the pipeline under the failure conditions, and to dynamically predict the transient pressure of the pipeline at multiple points during the occurrence of bursting, leakage, and so on. …”
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The COVID-19 Model with Partially Recovered Carriers by T. S. Faniran, E. A. Bakare, A. O. Falade

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Significance of the ARIMA epidemiological modeling to predict the rate of HIV and AIDS in the Kumba Health District of Cameroon by Arrey Emmanuel Besong, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Besong Agbor Obinkem, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Fabrice Chethkwo, Valentine Ndze Ngum, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Onduo Moise, Onduo Moise, Onduo Moise, Onduo Moise, Ayana Gelan, Ayana Gelan, Ayana Gelan, Ayana Gelan, Jude Dzevela Kong, Jude Dzevela Kong, Jude Dzevela Kong, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha

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Research on Small Target Detection Algorithm for Autonomous Vehicle Scenarios by Sheng Tian, Kailong Zhao, Lin Song

“…Through data analysis, target detection at different scales and sampling rates is determined. …”
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Used economy market insight: Sailboat industry pricing mechanism and regional effects. by Zhanni Huang, Hansheng Hu, Di Wu

“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”
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ANALISIS SPATIO-TEMPORAL PERUBAHAN TUTUPAN LAHAN DAN KAITANNYA DENGAN TEMPERATUR PERMUKAAN LAHAN DI DESA CIPUTRI PERIODE 2005-2035 by I Kadek Yoga Dwi Putra, Masita Dwi Mandini Manessa, Adi Wibowo

“…This study analyses and predicts the dynamics of land use and cover changes and their relationship with land surface temperature in the period 2005-2035 using a combination of remote sensing data and Cellular Automata-Artificial Neural Network (CA-ANN) models. …”
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Resting-state EEG microstate features for Alzheimer's disease classification. by Xiaoli Yang, Zhipeng Fan, Zhenwei Li, Jiayi Zhou

“…Resting-state electroencephalogram (EEG) microstate analysis resolves EEG signals into topographical maps representing discrete, sequential network activations. …”
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Canadian Highly Sensitized Patient Program Report: A 1000 Kidney Transplants Story by M. Khaled Shamseddin, Steven Paraskevas, Rahul Mainra, Kyle Maru, Bailey Piggott, Darlene Jagusic, Kathy Yetzer, Lakshman Gunaratnam, Christine Ribic, Joseph Kim, Sunita Singh, Stephanie Hoar, G. V. Ramesh Prasad, Melanie Masse, Isabelle Houde, Myriam Khalili, Kenneth West, Rob Liwski, Sean Martin, Nessa Gogan, Martin Karpinski, Mauricio Monroy-Cuadros, Sita Gourishankar, Olwyn Johnston, James Lan, Christopher Nguen, John Gill, Michel Pâquet

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