Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

“…This study presents a novel approach to passive human counting in indoor environments using Bluetooth Low Energy (BLE) signals and deep learning. …”
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Exploring Metaverse Technologies in Entrepreneurship Through Machine Learning-Based Topic Modeling by Krishnashree Achuthan, Sasangan Ramanathan, Raghu Raman

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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Methods This paper presents a novel hybrid machine-learning model by amalgamating Convolutional Neural Networks (CNNs) with Long Short-Term Memory models (LSTMs) to boost prediction accuracy. …”
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Predicting traffic flow with federated learning and graph neural with asynchronous computations network by Muhammad Yaqub, Shahzad Ahmad, Malik Abdul Manan, Muhammad Salman Pathan, Lan He

“…The task of achieving a balance between prediction precision and computational efficiency presents a significant challenge. In this article, we present a novel deep-learning method called Federated Learning and Asynchronous Graph Convolutional Network (FLAGCN). …”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…As renewable energy integration increases, precise electricity demand forecasting becomes essential at every power system level. This study presents and compares nine machine learning (ML) methods for forecasting, Interpretable ML, Explainable ML, and Blackbox model. …”
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A Math Education Laboratory: a space for active learning and pedagogical innovation by Isabel Vale, Ana Barbosa

“…In this approach, students are active individuals involved in their learning process, shaped by intellectual, social and physical interactions. …”
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Reinforcement Learning Generalization for Quadrotor With Slung Load Systems Through Homogeneity Transformations by Abdel Gafoor Haddad, Igor Boiko, Yahya Zweiri

“…The complexity of the pick-and-place procedure in such tasks increases if the target location does not have a clearance at the top, necessitating the use of recent learning-based controllers such as reinforcement learning (RL). …”
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An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading Acquisition by Hannah Kermes, Kay Berkling

“…Learning curves are a well-known phenomenon in learning and describe the oscillation between correct and incorrect performance that precedes mastery. …”
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Estimation of Mango Fruit Production Using Image Analysis and Machine Learning Algorithms by Liliana Arcila-Diaz, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…This study presents an analysis of mango fruit detection using machine learning algorithms, specifically YOLO version 8 and Faster R-CNN. …”
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The nursing process and total health cost variability: an analysis using machine learning by Maria Consuelo Company-Sancho, Victor M. González-Chordá, Maria Isabel Orts-Cortés

“…To improve prediction accuracy and account for non-linear relationships, the analysis was completed using two machine learning models. Results 58% (n = 980,437) of the population presented some data from the nursing process, for individuals with an assessed pattern, the average cost was €2304.17 compared with €950.93 for those who had none; with a nursing diagnosis, the average cost was €1,666 versus €840 without it. …”
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Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images by Penghan Yang, Wujie Zhou, Yuanyuan Liu

“…This study introduces the concept of integrity in semantic segmentation and presents a complete integrity learning network using contextual semantics in the multiscale feature decoding process. …”
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How Can ChatGPT Facilitate Teaching and Learning: Implications for Contemporary Education by Turgut Karakose, Tijen Tülübaş

“…When used with proper guidance and awareness, ChatGPT can facilitate the development of twenty-first century 4C skills (collaboration, communication, critical thinking, and creativity) as well as supporting students with disabilities or learning difficulties. ChatGPT can also help teachers enrich their instruction through providing them with creative ideas and solutions as well as helping them write lesson plans, develop presentations, reach content and materials tailored to their students’ needs. …”
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Ensemble based high performance deep learning models for fake news detection by Mohammed E.Almandouh, Mohammed F. Alrahmawy, Mohamed Eisa, Mohamed Elhoseny, A. S. Tolba

“…The research methodology involves utilizing two Arabic news article datasets, AFND and ARABICFAKETWEETS datasets, categorized into fake and real subsets and applying comprehensive preprocessing techniques to the text data. Four hybrid deep learning models are presented: CNN-LSTM, RNN-CNN, RNN-LSTM, and Bi-GRU-Bi-LSTM. …”
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An Investigation of Constructive Alignment between Learning Outcomes and Assessment in English Department Modules by Tahsin Hussein Rassul

“…Through content analysis, the present study investigates the quality of learning outcomes stated in the course syllabi, the knowledge depth in final examination questions, the alignment extent between FWE and CSLO in terms of knowledge depth. …”
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Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review. by Ana Luiza Dallora, Shahryar Eivazzadeh, Emilia Mendes, Johan Berglund, Peter Anderberg

“…<h4>Objective</h4>The goal of this paper is to present evidence on the state of the art of studies investigating and the prognosis of dementia using machine learning and microsimulation techniques.…”
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Social learning leads to inflexible strategy use in children across three societies by Wilson Vieira, Sarah Pope-Caldwell, Ardain Dzabatou, Luke Maurits, Marie Padberg, Daniel Haun

“…The present study provides important insights on the influence of eco-cultural contexts on the development of adaptive problem-solving, and the impact of social learning on children’s elective flexibility.…”
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Building general competencies of social work students through experiential learning process by Benas Gudinavičius, Remigijus Bubnys, Sandra Šimaitytė

“… The article deals with the building of general competencies of social work students during the process of experiential learning. The article presents the analysis of a qualitative structured written reflections of social work students (N=11) and reveals which instrumental, interpersonal and systemic competencies of social work students were built while participating in the experiantal learning activities for one week. …”
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Circle Up Self-Regulatory Framework: Integrating social, emotional, and academic learning by Jess Gropen, Katie Bevan, Bill Wilmot

“…After each learning pattern is presented, the paper discusses how all three patterns work in combination and how they have been used as a set of constraints on co-designing tools, strategies, and routines with education partners. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…For these illnesses to be managed and treated effectively, prompt and correct diagnosis is essential, yet it often presents a challenge due to the subjective nature of visual examination and the variability in clinical presentations. …”
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Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring by Marc-André Blais, Moulay A. Akhloufi

“…Various remote sensing imaging modalities (optical, thermal, radar), platforms (satellites, drones) and datasets are first presented to provide the context for this field. Artificial intelligence and its associated metrics are then discussed, followed by an exploration of deep learning algorithms for extracting coastal boundaries. …”
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