A bibliometric and classification study of Project-based Learning in Engineering Education by Ana Carla Bittencourt Reis, Sanderson César Macêdo Barbalho, Alline Christine Diniz Zanette

“…Abstract Engineering education has been the subject of studies in search of approaches that provide better results in terms of learning. The Project Based Learning approach (PBL) is the subject of this study from the point of view of its application in Engineering. …”
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Global Semantic Classification of Fluvial Landscapes with Attention-Based Deep Learning by Patrice E. Carbonneau

“…In this technical note, we present a new deep learning pipeline that uses attention-based deep learning to perform state-of-the-art semantic classification of fluvial landscapes with Sentinel-2 imagery accessed via GEE. …”
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Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning by Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar

“…We present a novel method aimed at enhancing the sample efficiency of ensemble Q learning. …”
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Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning by CHEN Yanan, HU Kaikai, CHEN Gang, SHU Hui, LI Ziyuan

“…At present, high frequency vibration data of wind turbine gearbox is collected through condition monitoring system and fault diagnosis for gearbox is made by manual analysis. …”
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Usi intelligenti dell’intelligenza artificiale. Il man-with-the-machine learning by Roberto Trinchero

“…This paper aims to present some reflections on the use of machines for teaching and their evolution into intelligent tutoring systems, outlining the possibilities and risks of a machine-driven and a human-driven learning/teaching interaction. …”
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The Use of Blogs in English Language Learning: A Study of Student Perceptions by Gurleen Ahluwalia, Deepti Gupta, Deepak Aggarwal

“…In this article we present an investigation that focused on the students' perception of using Blogs as a means to supplement in-class language learning activities. …”
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Identification of learning difficulties and misconceptions of chemical bonding material: A review by Hayuni Retno Widarti, Dian Nuriyanti, Meyga Evi Ferama Sari, Antuni Wiyarsi, Sri Yamtinah, Deni Ainur Rokhim

“…Chemical bonds are one of the materials in chemistry that are abstract in nature so that many students have difficulty learning chemical bonding material. This study aims to identify the learning difficulties frequently faced by students in understanding chemical bonding materials and various misconceptions that commonly occur in their understanding. …”
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Competence of university teachers in organizing and conducting distance learning at a university by Tatyana Avdeeva, Elena Muraya, Tatiana Osipovskaya, Valentina Bugrova, Olga Krasnova

“… Distance learning is a form of education that is perfectly suitable for the implementation of contemporary models of education in the information society. …”
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Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State by Itai Tzruia, Tomer Halperin, Moshe Sipper, Achiya Elyasaf

“…We present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine learning (ML) models, focusing on dynamic adaptation to the evolutionary state. …”
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DLProv: a suite of provenance services for deep learning workflow analyses by Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

“…Deep learning (DL) workflows consist of multiple interdependent and repetitive steps, including data preparation, model training, evaluation, and deployment. …”
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RETRACTED: Machine Learning and AI-Driven Water Quality Monitoring and Treatment by Rajitha Akula, K Aravinda, Nagpal Amandeep, Kalra Ravi, Maan Preeti, Kumar Ashish, Abdul-Zahra Dalael Saad

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Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors by Bruno Andò, Salvatore Baglio, Mattia Manenti, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Mario Zappia, Giovanni Mostile

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Review of plant disease image recognition algorithms based on deep learning by Yang Hankun, Zhu Bowei, Zhang Yanmin, Xu Yidong

“…Finally, it emphasizes the importance of continuous learning and model updates, and presents future research directions.…”
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Digital Holographic Reconstruction Based on Deep Learning Framework With Unpaired Data by Da Yin, Zhongzheng Gu, Yanran Zhang, Fengyan Gu, Shouping Nie, Jun Ma, Caojin Yuan

“…Although excellent results can be achieved by using this technique, the number of training and label data must be the same and strict paired relationship is required. Here, we present a new end-to-end learning-based framework to reconstruct noise-free images in absence of any paired training data and prior knowledge of object real distribution. …”
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The assessment practices used by teachers before and after the experience of Distance Learning by DANIELA TORTI

“…This study, as part of a broader research project carried out for a doctoral thesis, delves into the experience lived by teachers during DL with particular reference to the use of ttechnologies and the assessment of learning. This paper presents the results that emerged from the compilation of a questionnaire, administered to 423 teachers participating in the training course INVALSI tests and data literacy: towards skills-based teaching, aimed at deepening the assessment practices used following the DL experience and the difficulties encountered by teachers in assessing learning. …”
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Optimal Search Strategy of Robotic Assembly Based on Neural Vibration Learning by Lejla Banjanovic-Mehmedovic, Senad Karic, Fahrudin Mehmedovic

“…This paper presents implementation of optimal search strategy (OSS) in verification of assembly process based on neural vibration learning. …”
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Probabilistic Evaluation of Hydraulic Fracture Performance Using Ensemble Machine Learning by Xiaoping Xu, Xianlin Ma, Jie Zhan

“…Evaluation of hydraulic fracture (HF) performances is critical to develop unconventional resources such as tight oil and gas. We present a probabilistic evaluation approach that integrates ensemble machine learning with Monte Carlo simulation. …”
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University Teaching and Learning in Educational Sciences: The Case of Andragogy in the Czech Republic by Jana Poláchová Vašťatková, Miroslav Dopita

“…In the context of local and global educational policy, this paper presents three periods of development of the educational sciences including andragogy in Czech higher education after 1990, showing how changes influenced university teaching quality. …”
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Predicting Students’ Performance Using a Hybrid Machine Learning Approach by Ropafadzo Duwati, Tawanda Mudawarima

“…This presents an opportunity for learning institutions to predict students’ performance using Machine Learning (ML) techniques. …”
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Modulation recognition of underwater acoustic communication signals based on deep learning by Biao Wang, Heng Yang, Tao Fang

“…Abstract In recent years, research on modulation signal recognition using deep learning (DL) has achieved significant success. However, the complex environment of underwater channels presents substantial challenges for modulation recognition. …”
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