Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

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Learning together: facing the challenges of sustainability transitions by engaging uncertainty tolerance and post-normal science by Michelle D. Lazarus, Silvio Funtowicz

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Diagnosis of invasive encapsulated follicular variant papillary thyroid carcinoma by protein-based machine learning by Truong Phan-Xuan Nguyen, Minh-Khang Le, Sittiruk Roytrakul, Shanop Shuangshoti, Nakarin Kitkumthorn, Somboon Keelawat

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E-LEARNING AS AN INSTRUMENT ENSURING NATIONAL COMPETITIVE ADVANTAGES DEVELOPMENT AND THE SOURCE OF NATIONAL SECURITY THREATS by Andrey S. Zuev

“…Their socialization took place and proceeds in the conditions of information society formation.…”
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4-H Wildlife Habitat Evaluation Program (WHEP): Learn about wildlife ecology and management by Sarah Webb Miller, Mark E. Hostetler

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Research on the Integration Method of Character Costume Culture in Dunhuang Murals Based on Deep Learning Algorithm by Ying Zhai, Ningjing Xuan, Hualong Shi, Qiao Liu

“…This paper compares the characteristics of the costumes in different times; the progress and changes in graphics, styles, and textures; and the different characteristics from the costumes in the modern society. It also compares the coupling degree data of clothing culture in the two periods. …”
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4-H Wildlife Habitat Evaluation Program (WHEP): Learn about wildlife ecology and management by Sarah Webb Miller, Mark E. Hostetler

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…Regarding the transportation of people, commodities, and other items, aeroplanes are an essential need for society. Despite the generally low danger associated with various modes of transportation, some accidents may occur. …”
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Detection of Manipulations in Digital Images: A Review of Passive and Active Methods Utilizing Deep Learning by Paweł Duszejko, Tomasz Walczyna, Zbigniew Piotrowski

“…The modern society generates vast amounts of digital content, whose credibility plays a pivotal role in shaping public opinion and decision-making processes. …”
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Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview by Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, Juan P. Dominguez‐Morales, Gabriel Jimenez‐Moreno

“…The rapid expansion of information systems in all areas of society demands more powerful, efficient, and low‐energy consumption computing systems. …”
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Service-based learning experiences of pre-service Turkish teachers: Language teaching to Syrian refugees by Nurşat Biçer, Yakup Alan

“…The Community Service Practices course plays an important role in the integration of pre service teachers in the society. A phenomenological design was used in the study in which we investigated the opinions of pre service teachers about the service-learning processes. …”
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Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance by Sulaiman O. Atiku, Ibidun C. Obagbuwa

“…Most researchers in the past adopted traditional statistics to build prediction models; however, due to the efficiency of machine learning algorithms, a lot of researchers now apply various machine learning algorithms to various fields, including performance prediction systems. …”
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FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention by A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee

“…Image forgery is easily manufactured for illegal acts such as spreading misleading information, which can have unfortunate consequences for society. In this work, we propose a Discrete Cosine Transformation (DCT) based multi-task learning network named FBI-Net, for forgery localization. …”
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Lifelong Learning in the System of Higher Education: the State of the Problem and the Strategy of Integrating Educational Activities and Research by A. V. Keller, I. A. Korshunov, N. N. Shirkova, G. N. Suvorov, E. S. Szhenov, S. S. Shadrin, A. A. Orekhov

“…The authors of this article consider the current situation of lifelong learning education in leading Russian universities and define some possible strategies for integrating scientific research with educational activities. …”
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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

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Cloud-Based Framework for COVID-19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine by Amjad Rehman Khan, Tanzila Saba, Tariq Sadad, Seng-phil Hong

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A Comparative Study between Time Series and Machine Learning Technique to Predict Dengue Fever in Dhaka City by Tanzina Akter, Md. Tanvirul Islam, Md. Farhad Hossain, Mohammad Safi Ullah

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Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction by Qisheng Yan, Shitong Wang, Bingqing Li

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Construction of a 5G Wireless Semantic Web-Assisted English Digital Learning Resource Query System by Lili Liu

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Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy by Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park

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