Examining the dynamics of plagiarism: a comparative analysis before, during, and after the COVID-19 pandemic by Yovav Eshet

“…Utilising the theory of planned behaviour comparing undergraduate plagiarism rates before, during, and after the COVID-19 pandemic using an automated plagiarism detection tool (Originality). …”
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Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions by Jae-Hee Hahm, Ha-Yoon Jeong, Kyung-Hwan Kwak

“…Long-term automated synoptic observing system (ASOS) data collected from 101 stations over a period of 50 years (1967–2016) were analyzed to investigate the distribution of strong winds on the Korean peninsula by utilizing a statistical method. …”
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Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification? by Fan Yang, Ying-Ying Xu, Hong-Bin Shen

“…Since significant progress has been made on digital microscopy, automated image-based protein subcellular location classification is urgently needed. …”
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An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

“…In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation. …”
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Curation, Algorithmic 'Caregiving' and Collective Archival Practices. Rethinking the Archival Work of Culture in Streaming Media by Valentina Re

“…I argue that streaming aggregators such as Netflix are shifting the focus of curatorial or caretaking activity from content to consumers - from criteria of selection, classification, and presentation of content to the effectiveness of automated processes masked as ‘caregiving’ practices. …”
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Compact High-Zoom-Ratio Mid-Wavelength Infrared Zoom Lens Design Based on Particle Swarm Optimization by Zhenhao Liu, Jipeng Zhang, Yuqi Huang, Xin Zhang, Hongbo Wu, Jianping Zhang

“…This paper presents an automated method for solving the initial structure of compact, high-zoom-ratio mid-wave infrared (MWIR) zoom lenses. …”
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Artificial intelligence in aviation English testing by Gökhan Demirdöken

“…The review encompasses AI technologies such as automated speech recognition (ASR), natural language processing (NLP), and intelligent tutoring systems (ITS) in the light of the language proficiency requirements stated by the International Civil Aviation Organization (ICAO). …”
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Hands-Free Maneuvers of Robotic Vehicles via Human Intentions Understanding Using Wearable Sensing by Weitian Wang, Rui Li, Longxiang Guo, Z. Max Diekel, Yunyi Jia

“…Intelligent robotic vehicles are more and more fully automated, without steering wheels, gas/brake pedals, or gearshifts. …”
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Water Quality Control and Monitoring at The Patih Drinking Water Depot Based on Nodemcu ESP32 by St. Nurhayati Jabir, Asyraful Insan Asry, Rahmat Hidayat

“…To address this, an automated system was developed to fill water tanks and monitor water quality using advanced sensors and a real-time notification system. …”
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From Topological Optimization to Spline Layouts: An Approach for Industrial Real-Wise Parts by Carolina Vittoria Beccari, Alessandro Ceruti, Filip Chudy

“…This paper proposes a methodology to automate the conversion from topology optimization output to a CAD-compatible design for industrial components. …”
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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

“…As the volume of online reviews grows, automated sentiment classification models have become vital for efficiently processing this data. …”
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Prevalence of Childhood and Adolescent Overweight and Obesity from 2003 to 2010 in an Integrated Health Care Delivery System by Scott Gee, Debbie Chin, Lynn Ackerson, Dewey Woo, Amanda Howell

“…Physician training, practice tools, automated BMI reminders and performance feedback improved the frequency and quality of physician counseling. …”
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A large-scale dataset for Chinese historical document recognition and analysis by Yongxin Shi, Dezhi Peng, Yuyi Zhang, Jiahuan Cao, Lianwen Jin

“…Recently, researchers have tried to utilize deep-learning techniques to automate recognition and analysis. However, existing Chinese historical document datasets, which are heavily relied upon by deep-learning models, suffer from limited data scale, insufficient character category, and lack of book-level annotation. …”
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Analysis of over 1600 chemistry YouTube channels from 2005 to 2023 by Scott Gardner, Gabriela Bezati, Tristen Godfrey, Katie Baird, Usamah Bilal, Emma Loudon, Rhona Young, Lewis E. MacKenzie

“…By applying both manual and semi-automated search methods, we identified, categorized and analysed publicly available data for 1619 chemistry YouTube channels that were available in 2023. …”
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Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images by Yu Liu, Du-Gang Xi, Zhao-Liang Li, Chun-Xiang Shi

“…This paper presents an automated method to track cumulonimbus (Cb) clouds based on cloud classification and characterizes Cb behavior from FengYun-2C (FY-2C). …”
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ORCHAMP: an observation network for monitoring biodiversity and ecosystem functioning across space and time in mountainous regions by Thuiller, Wilfried, Saillard, Amélie, Abdulhak, Sylvain, Augé, Vincent,  Birck, Carole, Bonet, Richard, Choler, Philippe, Delestrade, Anne,  Kunstler, Georges, Leccia, Marie-France, Lienard, Bertrand, Poulenard, Jérome, Valay, Jean-Gabriel, Bayle, Arthur, Bonfanti, Nicolas, Brousset, Lenka,  Bizard, Léa,  Calderón-Sanou, Irene, Dentant, Cédric, Desjonquères, Camille, Gielly, Ludovic, Guéguen, Maya, Guiter, Frédéric, Hedde, Mickael,  Hustache, Eric, Kedhim, Norine, Lapenu, Pierre, Le Guillarme, Nicolas,  Marchal, Lise, Mahieu, Chloé, Martin, Gabrielle, Martinez-Almoyna, Camille,  Miele, Vincent, Murienne, Jérôme, Paillet, Yoan, Rome, Maxime,  Renaud, Julien, The Orchamp Consortium

“…Leveraging the natural elevational gradients of mountain environments, the ORCHAMP program was established in 2016 as a comprehensive initiative to monitor, understand, and predict the repercussions of environmental changes on biodiversity and associated ecosystem functions in the French Alps and Pyrenees.Beyond its monitoring role, ORCHAMP has catalyzed the development of tools for data integration, statistical analyses, visualization, and AI-based automated data processing and predictions. Through a combination of traditional sampling methods (e.g., botanical surveys) and cutting-edge technologies (remote-sensing, environmental DNA, video, and acoustic sensors), the program offers a holistic approach to understanding how biodiversity faces environmental changes. …”
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Design and application of depth control methods for autonomous underwater profilers in challenging marine environments by Isabel P. Morales-Aragón, Jaime Giménez-Gallego, Javier Gilabert, Roque Torres-Sánchez, Fulgencio Soto-Valles

“…To address the challenges of restoring these ecosystems, the development of automated methods for continuous monitoring of various parameters at different depths and locations is being promoted. …”
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Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…It is impossible to do a complete analysis of this data manually, and it is essential to automate this process. That is why machine learning models have been used to this end in previous years. …”
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Optimization of Energy Consumption in Voice Assistants Through AI-Enabled Cache Implementation: Development and Evaluation of a Metric by Alber Oswaldo Montoya Benitez, Álvaro Suárez Sarmiento, Elsa María Macías López, Jorge Herrera-Ramirez

“…Voice assistants (VAs), as part of IoT-based systems, facilitate task execution in a simple and automated manner, from entertainment to critical activities. …”
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Hybrid Hamiltonian Simulation Approach for the Analysis of Quantum Error Correction Protocol Robustness by Benjamin Gys, Lander Burgelman, Kristiaan De Greve, Georges Gielen, Francky Catthoor

“…Similar to classical systems, optimized simulation tools can greatly improve the efficiency of the design process. We propose an automated simulation framework for the development of qubit microarchitectures, in which the effects of design choices in the physical qubit layer on the performance of QEC protocols can be evaluated, whereas the focus in the current state-of-the-art design tools only lies on the simulation of the individual quantum gates. …”
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