Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters by Zhenyu Gao, Guoqiang Wang, Jinyue Chen, Lei Fang, Shilong Ren, A. Yinglan, Shuping Ji, Ruobing Liu, Qiao Wang

“…However, existing research on machine learning (ML)-based data assimilation methods remains limited, particularly in terms of addressing the combined impacts of climate change and anthropogenic activities. …”
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A modified Kiss, Marry, Kill game, a novel game-based learning activity for biology and anatomy and physiology students to learn and retain complex scientific concepts by Roberto Mariani, Emral Devany

“…By requiring students to evaluate and justify their choices, this method promotes critical thinking and collaborative learning in biology education. …”
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LITERACY CONCEPT PERSPECTIVES IN ENGLISH LANGUAGE LEARNING WITHIN THE EMANCIPATED CURRICULUM by Agis Andriani, Aina Amalia Izzati, Sitti Syakira, Dede Pertamana, Dewi Rosmala

“…The findings indicate that teachers perceive literacy in English learning as multifaceted, emphasizing reading and writing activities to enhance knowledge. …”
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Hide and seek in transaction networks: a multi-agent framework for simulating and detecting money laundering activities by Qianyu Wang, Wei-Tek Tsai, Tianyu Shi, Wang Tang, Bowen Du

“…This framework creates diverse virtual worlds, each with unique parameters to represent varying levels of illicit activity, thus mimicking the dynamics of money laundering and legitimate transactions. …”
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Lifelong Learning Needs of Methodist Preachers: A Quantitative Assessment by Darryl W. Stephens, Megan Mullins, Ryan P. Castillo

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Control Method in Coordinated Balance with the Human Body for Lower-Limb Exoskeleton Rehabilitation Robots by Li Qin, Zhanyi Xing, Jianghao Wang, Guangtong Lu, Houzhao Ji

“…Ground walking training using a floating-base lower-limb exoskeleton rehabilitation robot improves patients’ dynamic balance function, thereby increasing their motor and daily life activity capabilities. We propose a balance-directed motion generator (BDMG) based on the principles of deep reinforcement learning. …”
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«New Normal» of Students’ Educational Practices in the Coronavirus Pandemic Reality by E. Yu. Kostina, N. A. Orlova

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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…This paper develops an Ensemble of Deep Learning for Enhanced Safety in Smart Indoor Activity Monitoring (EDLES-SIAM) technique for visually impaired people. …”
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Comparative evaluation of CAM methods for enhancing explainability in veterinary radiography by Piotr Dusza, Tommaso Banzato, Silvia Burti, Margherita Bendazzoli, Henning Müller, Marek Wodzinski

“…Abstract Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used for visual interpretability. …”
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The Role of Physical Activity on Spatial and Temporal Cognitive Processing in Young Women by Joaquín Castillo-Escamilla, María del Mar Salvador-Viñas, José Manuel Cimadevilla

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Enhancing the students’ perception of machine learning methods-based drug formulation using R_programming educational protocols by Rania M. Hathout, Shaimaa S. Ibrahim

“…Abstract Background Recently, the need for artificial intelligence (AI) and machine learning (ML) methods in drug development and research is gaining high concern and more grounds. …”
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The Training Method for Digital Data Operation by I. V. Shevtsova

“…The use of effective pedagogical technologies such as project-oriented learning, social learning, and collaboration in an electronic educational environment supports the quality of training by the developed method. …”
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Teaching Graduate Student Practitioner-Scholars with Affordable Learning Materials (ALMs): Closing the Research-to-Practice Gap by Elizabeth Pope, Phillip Grant

“…And how can instructors create learning environments that support these activities? …”
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Problem-based learning of college students as a condition of the development of environmental consciousness when passing to the sixth technological mode by Elena Anatolyevna Ashikhmina, Oksana Anatolyevna Svetlova, Mikhail Feliksovich Fridman

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Detection of Steel Reinforcement in Concrete Using Active Microwave Thermography and Neural Network-Based Analysis by Barbara Szymanik, Maja Kocoń, Sam Ang Keo, Franck Brachelet, Didier Defer

“…This study explores the combined use of active microwave thermography and deep learning to detect and localize steel reinforcement within concrete elements. …”
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Educational and research activities of students: creating effective pedagogical conditions during the pandemic by A. M. Zhanburbayeva, E. K. Breitigam

“…This problem became especially acute during the 2020 COVID-19 pandemic, when general education schools began to massively switch to distance learning.Aim. The research aims to analyse the effectiveness of the pedagogical conditions for the formation of educational and research activities of students in schools in Kazakhstan during the pandemic.Methodology and research methods. …”
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Semi-supervised method for anomaly detection in HTTP traffic by Malki Ishara Wasundara, Junwei Zhou, Yanchao Yang, Dongdong Zhao, Jianwen Xiang

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Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study by Mathias Holsey Gramkow, Andreas Brink-Kjær, Frederikke Kragh Clemmensen, Nikolai Sulkjær Sjælland, Gunhild Waldemar, Poul Jennum, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

“…We aimed to determine the diagnostic performance of actigraphy in AD in a memory clinic population by using a machine-learning classifier. Methods In our single-center cross-sectional study, 70 patients with AD (MCI-moderate dementia), dementia with Lewy bodies (DLB) (N = 29) and cerebrovascular disease (CVD) (N = 23), and 48 elderly healthy controls were included. …”
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Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review by Adam C. Szekely-Kohn, Marco Castellani, Daniel M. Espino, Luca Baronti, Zubair Ahmed, William G. K. Manifold, Michael Douglas

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Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units by Min Khant, Darwin Gouwanda, Alpha A. Gopalai, Chee Choong Foong

“…The proposed method was compared against the other deep learning models. …”
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