Ensemble transfer learning meets explainable AI: A deep learning approach for leaf disease detection by Hetarth Raval, Jyotismita Chaki

“…This study presents a novel deep-learning model designed to address the challenges of real-world leaf disease identification. …”
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Binary and multiclass malware classification of windows portable executable using classic machine learning and deep learning by Moeiz Miraoui, Mohamed Ben Belgacem

“…Most previous works focus on binary classification, limited number of ML algorithms and even a single dataset. In this paper, we present both a binary and multiclass PE malware classification using four classic machine learning algorithms and four deep learning algorithms. …”
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The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models by Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed

“…Although artificial intelligence (AI) has showed amazing promise in breast cancer prediction mainly machine learning (ML) algorithms as well as deep learning (DL), practical use of these models is greatly hampered by their lack of interpretability and transparency. …”
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Predicting spread through air space of lung adenocarcinoma based on deep learning and machine learning models by Zengming Wang, Lingxin Kong, Bin Li, Qingtao Zhao, Xiaopeng Zhang, Huanfen Zhao, Wenfei Xue, Wei Li, Shun Xu, Guochen Duan

“…Abstract Objective The aim of this study was to develop a machine learning model that can predict spread through air space (STAS) of lung adenocarcinoma preoperatively. …”
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Toward learning recovery: challenges of international students in China during COVID-19 online learning experience by Nilo Jayoma Castulo

“…It highlights lessons learned from the pandemic and presents mitigation strategies based on the participants’ perspectives. …”
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Enhancing Student Learning Motivation Through the Implementation of Project-Based Learning (PJBL) with Interactive Digital Books by Meikardo Samuel Prayuda, Reni Rosianna Lumbangaol, Renato Gema Nugraha Hutabarat, Darinda Sofia Tanjung

“… The study presents the use of interactive digital books that are focused on project-based learning to boost the motivation of students to learn. …”
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Effect of Occupation Performance Coaching with Four-Quadrant Model of Facilitated Learning on Children with Specific Learning Disorder by Amin Ghaffari, Akram Azad, Mehdi Alizadeh Zarei, Mehdi Rassafiani, Hamid Sharif Nia

“…Objective. The present study is aimed at investigating the effectiveness of Occupational Performance Coaching (OPC) and the Four-Quadrant Model of Facilitated Learning (4QM) interventions on the participation in occupational performance and executive function skills in children with SLD. …”
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Project-based learning: One of a learning model to assess students’ creativity in processing local food by Baiq Fatmawati, H. Hunaepi

“…Based on the results of the product design gain and Cohen's d effect test, it can be concluded that students are able to design fermented products and project-based learning has a very good impact on the development of creativity and new concepts in processing local food into fermented food products that have useful tastes, shapes, and presentations.…”
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Efficient optimal power flow learning: A deep reinforcement learning with physics-driven critic model by Ahmed Sayed, Khaled Al Jaafari, Xian Zhang, Hatem Zeineldin, Ahmed Al-Durra, Guibin Wang, Ehab Elsaadany

“…The transition to decarbonized energy systems presents significant operational challenges due to increased uncertainties and complex dynamics. …”
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Relationship of Online Learning Readiness with Self-Directed Learning and Information Technology Skills in Nursing and Midwifery Students by Seyyedeh Roghayeh Abdi koohi kheyli, Mojtaba Rezaei Rad, Saeed Razaghi

“…Therefore, the present study was conducted with the aim of investigating the relationship between self-directed learning and information technology skills on the online learning readiness of nursing and midwifery students. …”
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The dynamic case-based learning model: conducive to enhancing the practical learning effectiveness of dermatology for medical students by Yidan Li, Li Lei, Ling Jiang, Ping Mao, Chuhan Fu, Jing Chen, Qinghai Zeng

“…Methods This study proposes the dynamic case-based learning (DCBL) model, which was presented through typical dynamic cases. …”
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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…This systematic review presents a critical analysis of advanced machine learning (ML) and deep learning (DL) approaches for predicting the remaining useful life (RUL) of electric vehicle (EV) batteries. …”
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IMPROVING PREDICTION OF DEPRESSION AN ANALYTICAL COMPARISON BETWEEN HYBRID AI, MACHINE LEARNING AND DEEP LEARNING APPROACHES by Kanchapogu Naga Raju, Sachi Nandan Mohanty

“…This research includes an original comparative evaluation of machine learning (ML) and deep learning (DL) tactics, further developing through the building of integrated artificial intelligence frameworks. …”
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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

“…Some of these techniques do not easily diagnose heart diseases at early stages hence, getting treatment late poses a big risk. The present work attempts to better predict this disease from the chest pain symptom, and classify it by designing an efficient machine learning system based on a dataset with 303 patient data made available to the public domain. …”
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Deep Learning Small Water Body Mapping by Transfer Learning from Sentinel-2 to PlanetScope by Yuyang Li, Pu Zhou, Yalan Wang, Xiang Li, Yihang Zhang, Xiaodong Li

“…Recent studies have demonstrated the effectiveness of deep learning for mapping small water bodies using PlanetScope; however, a persistent challenge remains in the scarcity of high-quality, manually annotated water masks used for model training, which limits the generalization capability of data-driven deep learning models. …”
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Online Fanfiction for Language Teaching and Learning by Shannon Sauro

“…A challenge facing teachers and researchers is incorporating the enthusiasm and innovation inherent within these online spaces into a formal educational context. This presentation introduces recent research on language learning in the digital wilds. …”
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Hypothetical Learning Trajectory for Prospective Elementary School Teachers in Learning Mathematics Assisted Artificial Intelligence Based on STEM by Arvin Efriani, Sujinal Arifin

“…Then the data was analyzed qualitatively with the stages of data reduction, data presentation, and drawing conclusions. The product of this study was an estimate of the STEM learning trajectory assisted by Artificial Intelligence (AI) which contained the following activities: exploring information, finding learning concepts, initiating ideas, and developing ideas. …”
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Presenting the Model of Aligning the Individual Development Program (IDP) with the Career Path, Based on the Foundation's data-theorizing Approach by Ali Kafami Ladani, Abdolali Keshtegar, Aleme Keikha

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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…The paper “More-Than-Human-Centered-Design and Self-Narration as Catalysts for fostering Sustainable Learning Ecosystems” [13], by Eugenia Rosina, Francesca Mattioli, presents an exploratory study for self-narratives, in the context of design education, and in the perspective of more-than-human-centered design, as opposed to the usual perspective of human-centered design. …”
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Undergraduate exposure to patient presentations on the acute medical placement: a prospective study in a London teaching hospital by Amir H Sam, Chee Yeen Fung, Emilia Peleva, Zhin Ming Tan, Adam Savage, Mahdi Rahim, Fatima Osman, Mohammed Adnan

“…Objectives To identify the availability and variability of learning opportunities through patient presentations on an acute medical placement at a teaching hospital.Design A prospective study evaluating all acute admissions to the Acute Medical Unit over 14 days (336 hours). …”
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