Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review by Menna Mamdouh Orabi, Osama Emam, Hanan Fahmy

“…This paper presents a comprehensive review of FL, categorizing data partitioning formats into horizontal federated learning, vertical federated learning, and federated transfer learning. …”
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IMPLEMENTASI PERENCANAAN STRATEJIK PEMBELAJARAN MELALUI PEMBELAJARAN BERDIFERENSIASI MENGGUNAKAN MEDIA BERBASIS TIK UNTUK MENINGKATKAN MINAT BELAJAR PESERTA DIDIK DIDIK by Badri Zaman, Abuy Abuy, Nelly Amalia, Ricky Yoseptry, Enyi Masrukoyah, Ira Setiani

“…ICT-based media, such as interactive learning applications, educational videos, multimedia presentations, and online platforms like Learning Management Systems (LMS), were used as primary tools to support the learning process. …”
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Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training by Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Chao Huang, Zheng O’Neill, Zhaoran Wang, Qi Zhu

“…However, these model-free DRL approaches often suffer from long training time to reach a good performance, which is a major obstacle for their practical deployment. In this work, we present a systematic approach to accelerate online reinforcement learning for HVAC control by taking full advantage of the knowledge from domain experts in various forms. …”
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A Systematic Model of an Adaptive Teaching, Learning and Assessment Environment Designed Using Genetic Algorithms by Doru Anastasiu Popescu, Nicolae Bold, Michail Stefanidakis

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Meeting a Learned Society: The Archaeology of ASOR as Reflected in its Annual Meeting, Boston 2017 by Raz Kletter

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Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks by P. Valarmathi, Y. Suganya, K. R. Saranya, S. Shanmuga Priya

“…Autoencoder, a specific form of Artificial Neural Network (ANN) that is designed to excel in the task of feature extraction, is utilized in our study to effectively capture complex patterns present in audio data. Deep Neural Networks (DNNs) are utilized in the task of classification, using the capabilities of deep learning (DL) to differentiate between audio samples that exhibit Parkinson’s disease (PD) and those that do not. …”
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Exploring the Role of AI-Based Conversational Agents for Collaborative Learning of English as a Foreign Language by Ebru Pınar Elmacı Er, Armin Weinberger

“…AI-based chat agents within educational settings present a promising pathway for bolstering collaborative learning (CL), especially in the sphere of English as a Foreign Language (EFL). …”
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Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

“…The presented study contributes a practical framework in intelligent fault diagnosis as it presents an example of a real-world implementation while enabling future improvements in industrial condition-based maintenance systems.…”
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“Learning from the past, to improve the future”: content analysis of the transition of the higher education system in Indonesia by Imanudin Kudus, Heru Nurasa, Ida Widianingsih, Nina Karlina, Jayum Anak Jawan

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A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios by Ankita Tondwalkar, Andres Kwasinski

“…To address this challenge, this work presents the uncoordinated and distributed multi-agent DQL (UDMA-DQL) technique that combines a deep neural network with learning in exploration phases, and with the use of a Best Reply Process with Inertia for the gradual learning of the best policy. …”
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. by Tony C Lee, Matthias Ziegler

“…We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. …”
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A MOBILE-DEVICE-SUPPORTED PEER-ASSISTED LEARNING SYSTEM FOR COLLABORATIVE EARLY EFL READING by Yu-Ju Lan, Kuo-En Chang, Yao-ting Sung

“…However, simply grouping students heterogeneously and assigning them group goals does not guarantee that effective collaborative learning will ensue. The present research includes two studies. …”
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Knowledge Extraction via Machine Learning Guides a Topology‐Based Permeability Prediction Model by Jia Zhang, Gang Ma, Zhibing Yang, Jiangzhou Mei, Daren Zhang, Wei Zhou, Xiaolin Chang

“…Abstract The complexity and heterogeneity of pore structure present significant challenges in accurate permeability estimation. …”
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A Case Study of Computational Thinking Analysis Using SOLO Taxonomy in Scientific–Mathematical Learning by Alejandro De la Hoz Serrano, Andrés Álvarez-Murillo, Eladio José Fernández Torrado, Miguel Ángel González Maestre, Lina Viviana Melo Niño

“…The SOLO taxonomy is presented as a proper tool for learning assessment since it allows for a more detailed understanding of the quality of students’ learning. …”
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Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring by Harilal Abhirami, Park Kyungmin, Paulini Manfred

“…Using a semi-supervised machine learning approach we present a real-time anomaly detection system based on an autoencoder used for online data quality monitoring of the CMS electromagnetic calorimeter operating at the CERN LHC. …”
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Explainable AI and deep learning models for recommender systems: State of the art and challenges by Maroua Benleulmi, Ibtissem Gasmi, Nabiha Azizi, Nilanjan Dey

“…Recommender systems have a pivotal function in delivering customized and pertinent suggestions to clients on the basis of their preferences and activities. The present paper presents a thorough overview of deep learning-based recommender systems, explores their application to enhance performance, and overcomes limitations. …”
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Smart Manufacturing through Machine Learning: A Review, Perspective, and Future Directions to the Machining Industry by A. S. Rajesh, M. S. Prabhuswamy, Srinivasan Krishnasamy

“…A broad category of manufacturing that is technology-driven utilizes internet-connected machines to monitor the performances of manufacturing processes referring as smart manufacturing. The current paper presents a comprehensive survey and summary of different machine learning algorithms which are being employed in various traditional and nontraditional machining processes, and also, an outlook of the manufacturing paradigm is presented. …”
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Improving Students’ Professionalism in Arranging and Developing RPP through Curriculum Development and Learning Planning Courses by Umi Hanifah

“…Before being presented and corrected the result (33.3%) and after the results became (73.3%). …”
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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain by Manish Kumar, Aneesh Sreevallabh Chivukula, Gunjan Barua

“…The method uses a Deep Learning (DL) framework to generate a decoy image, which forms the basis for generating encryption keys using a timestamp, nonce, and 1-D Exponential Chebyshev map (1-DEC). …”
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A Task-Cycling Pedagogy Using Stimulated Refelction and Audio-Conferencing in Foreign Language Learning by Mike Levy, Claire Kennedy

“…The particular focus here is on the learning of Italian as a foreign language, although the ideas and principles are presented with a view to the teaching and learning of any language. …”
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