Enhancing Triage Systems in Emergency Units: An Extensive Review by Dipankar Maiti, Tincy Mariam Easow, Jyothi R

“…Furthermore ongoing training and education programs for triage personnel can enhance their skills and decision-making abilities leading to more consistent and accurate triage assessments. …”
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An Overview of Improving Logistics Processes in Health Facilities by Zdenek Smutny, Katerina Svandova

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Application of Sentinel-2A Images for Land Cover Classification Using NDVI in Jember Regency by Rufiani Nadzirah, Mochammad Kevin Rizqon, Indarto Indarto

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New Methodologies for the Optimization of Operational Parameters of Bio Gas Power Plants: A Review by Sidahmed Sidi Habib, Shuichi Torri, Kavitha Mol S.

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Parallel Fractal Compression Method for Big Video Data by Shuai Liu, Weiling Bai, Gaocheng Liu, Wenhui Li, Hari M. Srivastava

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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…With the rapid advancement of behavior detection technology, identifying classroom behaviors of students is becoming increasingly common in educational settings. However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. …”
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Joint NTAV/SPA 2012 Conference Lodz University of Technology Poland, September 27 – 29, 2012 by Paweł STRUMIŁŁO

“…On behalf of the conference co-organizers the Polish Section of the Audio Engineering Society and the Polish Association of Theoretical and Applied Electrotechnics the NTAVSPA 2012 Organizing Committee acknowledges the financial support of the Ministry of Science and Higher Education.…”
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Spammer group detection based on cascading and clustering of core figures by Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji

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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

“…Feature selection was conducted using Pearson correlation, and model validation was performed using leave-one-out cross-validation with common classification algorithms.ResultsThe results yielded accuracy rates between 73.11% and 88.24%. …”
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STBNA-YOLOv5: An Improved YOLOv5 Network for Weed Detection in Rapeseed Field by Tao Tao, Xinhua Wei

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Using artificial intelligence for sustainable crop production – a comprehensive review with a focus on potato production by Magdalena Piekutowska

“…High technology costs and the need for extensive education and training for farmers can hinder widespread AI adoption. …”
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Mechanisms of Disinformation Amplification in Hybrid Warfare: The Case of the Conflict in Ukraine by Rafał ROMAŃSKI

“…The findings indicate that disinformation is not a one-off communicative act but an iterative structure supported by three interrelated domains: propaganda communication, cognitive psychology, and algorithmic technologies. In conclusion, the research question is addressed, and five strategic action areas are proposed: media literacy education, cooperation with digital platforms, international coordination, support for independent media, and the development of cognitive resilience within society. …”
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Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes by Liu X, Zhang J

“…Despite challenges such as cost and the need for effective utilization through training and education, CGM’s potential to revolutionize prediabetes management is evident. …”
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Introduction to the Special Thematic Issue "Virtual Reality and Eye Tracking" by Béatrice Hasler, Rudolf Groner

“…Simultaneously, eye tracking in VR poses new challenges to gaze analyses and requires the establishment of new tools and best practices in gaze interaction and psychological research from controlling influence factors, such as simulator sickness, to adaptations of algorithms in various situations. This thematic special issue introduces and discusses novel applications, challenges and possibilities of eye tracking and gaze interaction in VR from an interdisciplinary perspective, including contributions from the fields of psychology, human-computer interaction, human factors, engineering, neuroscience, and education. …”
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Facilitate Sustainable Architecture Through Computational Integration: A Three-Phase Framework by Passaint Massoud

“…The first phase, the Smart Learning Design Studio, Custom programmed algorithms are used to enhance the learning process in architectural education. …”
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A fast identification method for multi-joint robot load based on improved Fourier neural network by Xia Yue, Jionghao Mo, Zhibin Li, Haiteng Li, Chunliang Zhang, Shangbin Long

“…It only needs to learn several alternate sample sets in the prediction range, and any results in the prediction range can be accurately identified with good generalization ability. …”
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Expert methods use in undergraduate political science programs by D. Yu. Znamenskiy

“…The key factors of successful expert methods application in educational process include the approach to the experts selection, their informational and organizational-methodological preparation for work, and strict adherence to the prescribed algorithms in the course of expertise.…”
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Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine by Lei Hu, Wentong Wang, Xu Wang, Jianguo Yang, Yonghua Yu, Chunyang Mei

“…Response surface methodology is used to establish reliability prediction models under sensitive factors of fuel injection, valve, and cooling systems, and a reliability comprehensive evaluation method based on entropy weight and grey correlation methods has been proposed. …”
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Passive Microwave Imagers, Their Applications, and Benefits: A Review by Nazak Rouzegari, Mohammad Bolboli Zadeh, Claudia Jimenez Arellano, Vesta Afzali Gorooh, Phu Nguyen, Huan Meng, Ralph R. Ferraro, Satya Kalluri, Soroosh Sorooshian, Kuolin Hsu

“…This review examines the relevance, applications, and benefits of PMWI data, focusing on their practical use and benefits to society rather than the specific techniques or algorithms involved in data processing. Specifically, it assesses the impact of PMWI data on Tropical Cyclone (TC) intensity and structure, global precipitation and extreme events, flood prediction, the effectiveness of tropical storm and hurricane watches, fire severity and carbon emissions, weather forecasting, and drought mitigation. …”
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Using N-Version Architectures for Railway Segmentation with Deep Neural Networks by Philipp Jaß, Carsten Thomas

“…Our results show that the N-version architecture not only enables a detection of erroneous predictions by utilizing those adjusted confidence values, but it can also partially improve the predictions by using the PMV combination algorithm. …”
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