DEEP LEARNING-BASED SUPER-RESOLUTION TECHNIQUES: A COMPARATIVE ANALYSIS WITH RECENT INSIGHTS by Renuka Sambhaji Sindge, Maitreyee Dutta, Jagriti Saini

“…Current researchers have employed machine-learning techniques, neural networks, and Deep Learning based methods to enhance the quality of LR images obtained from different field applications. …”
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Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning by Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales

“…In this work, we explore the application of machine learning algorithms to suggest suitable parameter values. …”
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More buck-per-shot: Why learning trumps mitigation in noisy quantum sensing by Aroosa Ijaz, C. Huerta Alderete, Frédéric Sauvage, Lukasz Cincio, M. Cerezo, Matthew L. Goh

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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

“…The classification of the obtained vectors was carried out by standard machine learning classifiers. The article presents the results of the three most successful ones: Support Vector Classifier, Stochastic Gradient Descent Classifier, LogisticRegression. …”
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A comparative study of a new challenge-based learning model for engineering majors by V. Robledo-Rella, L. Neri, R. M. G. García-Castelán, A. Gonzalez-Nucamendi, J. Valverde-Rebaza, J. Noguez

“…As an answer to such needs, the Tecnologico de Monterrey launched in 2019 its competency-based Tec21 educational model, emphasizing the development of disciplinary and transversal competencies using a challenge-based learning (CBL) model. The present contribution is aimed at measuring the effectiveness of this model compared to the more traditional previous learning (PL) model. …”
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SATELLITE IMAGE ENHANCEMENT USING DEEP LEARNING AND GIS INTEGRATION: A COMPREHENSIVE REVIEW by Dalia A. Hussein, Mohamed A. Yousef, Hassan A. Abdel-Hak, Yasser G. Mostafa

“…A comprehensive review of 32 studies (20 journals, 11 proceedings, and one book chapter) published from 2016 to 2023 in the fields of deep learning (DL), image enhancement, super-resolution image, and Geographic Information System (GIS) is presented, focusing on the integration of DL methodologies with GIS to improve the quality of satellite images. …”
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An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images by Anik Kumar Saha, Muntezar Rabbani, Anika Saba Ibte Sum, M. F. Mridha, Md Mohsin Kabir

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Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning by Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Drk Müller

“…This work presents a novel human-in-the-loop control strategy for Internet of Things (IoT)-based TRVs using Deep Reinforcement Learning (DRL). …”
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Nursing students’ attitude about factors influencing clinical learning in Medical ‎University of Guilan by parand pourghane, tahereh khaleghdost, ezat paryad, mojdeh baghaee, ehsan kazemnezhad

“…‎Positive attitude toward role of utilities in clinical learning and role of present roles and ‎regulations inward was ‎‏89.4%‏‎ and ‎‏51%‏‎ respectively).…”
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Utilizing active learning and attention-CNN to classify vegetation based on UAV multispectral data by Sheng Miao, Chuanlong Wang, Guangze Kong, Xiuhe Yuan, Xiang Shen, Chao Liu

“…Abstract This paper presents a deep learning model based on an active learning strategy. …”
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Multi-Task Learning for Joint Indoor Localization and Blind Channel Estimation in OFDM Systems by Maria Camila Molina, Iness Ahriz, Lounis Zerioul, Michel Terré

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Enhancing the classification of isolated theropod teeth using machine learning: a comparative study by Carolina S. Marques, Emmanuel Dufourq, Soraia Pereira, Vanda F. Santos, Elisabete Malafaia

“…Our model also intends to differentiate teeth from different positions on the tooth row (e.g., lateral, mesial). These datasets present different challenges like over-representation of certain classes and missing measurements. …”
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Train your robot in AR: insights and challenges for humans and robots in continual teaching and learning by Anna Belardinelli, Chao Wang, Daniel Tanneberg, Stephan Hasler, Michael Gienger

“…Here, we present a robotic system capable of continual learning from interaction, generalizing learned skills, and planning task execution based on the received training. …”
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Machine Learning-Based Empirical Formulations for Strength Properties of Steel Fiber Reinforced Concrete by Mohammad Hossein Taghavi Parsa, Mohammad Reza Adlparvar, Morteza Esmaeili

“…The machine learning-driven formulations are exclusive due to the utilized strategy and the resources, and the precision of the relations are denoted, which presents the superiority to traditional methods.…”
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Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

“…Numerical results are presented to show the effectiveness of our machine learning strategy in identifying cyberattacks on vehicles equipped with ACC. …”
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Cloud-Edge Collaborative Defect Detection Based on Efficient Yolo Networks and Incremental Learning by Zhenwu Lei, Yue Zhang, Jing Wang, Meng Zhou

“…With a continuous increase in the number of defect categories and samples, the defect detection model underpinned by deep learning finds it challenging to expand to new categories, and the accuracy and real-time performance of product defect detection are also confronted with severe challenges. …”
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Indoor environmental quality and learning outcomes: protocol on large-scale sensor deployment in schools by Maartje Willeboordse, Juan Palacios Temprano, Piet Eichholtz, Nils Kok

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Conditions and opportunities of workplace teaching/learning of teachers of preschool educational institutions (the case of Lithuania) by Jurgita Smilgienė, Erika Masiliauskienė

“…The article presents the results of the empirical research that describe the conditions and opportunities of workplace teaching/learning of the teachers of a preschool educational institution and highlights the essential interferences to such teaching/learning. …”
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Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models by Oluwatobi Idowu, Nicholas Aderinto, Gbolahan Olatunji, Emmanuel Kokori

“…Aims: Schizophrenia is a psychiatric disorder characterized by diverse clinical presentations, posing challenges in early diagnosis and prognosis. …”
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A comprehensive review on safe reinforcement learning for autonomous vehicle control in dynamic environments by Rohan Inamdar, S. Kavin Sundarr, Deepen Khandelwal, Varun Dev Sahu, Nitish Katal

“…Despite these challenges, SRL presents a promising solution, through integrating new sensing technologies and machine learning techniques, to develop safe, efficient, and environmentally friendly transportation systems.…”
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