Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Several studies have employed deep learning (DL) or machine learning (ML) methods; no significant difference in performance between the two methods has been demonstrated. …”
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Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea by Maximilian Berthold, Pascal Nieters, Rahel Vortmeyer-Kley

Subjects: “…Scientific machine learning…”
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An Improvement of the Camshift Human Tracking Algorithm Based on Deep Learning and the Kalman Filter by Van-Truong Nguyen, Duc-Tuan Chu, Dinh-Hieu Phan, Ngoc-Tien Tran

“…In this paper, an improvement of the Camshift human tracking algorithm based on deep learning and the Kalman filter is proposed. To detail an approach by using YOLOv4-tiny to detect a human in real time, Camshift is used to track a particular person and the Kalman filter is applied to enhance the performance of this algorithm in case of occlusion, noise, and different light conditions. …”
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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

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Key tips to shift student perspectives through transformative learning in medical education by Efraim J. Hart, Merel H. de Heer-Koster, Maria van der Harst, Joyce L. Browne, Fedde Scheele

Subjects: “…Transformative learning…”
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Liver fibrosis stage classification in stacked microvascular images based on deep learning by Daisuke Miura, Hiromi Suenaga, Rino Hiwatashi, Shingo Mabu

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ADVANCING UNDERSTANDING OF SERVICE-LEARNING: A CASE STUDY OF A UNIVERSITY IN MALAYSIA by Fong Wei Diong, Phaik Kin Cheah, Poh Chua Siah

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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

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The Effect of Spatial Working Memory Deterioration on Strategic Visuomotor Learning across Aging by Luis A. Uresti-Cabrera, Rosalinda Diaz, Israel Vaca-Palomares, Juan Fernandez-Ruiz

“…To evaluate the effect of age-related cognitive changes in a visuomotor learning task that depends on strategic control and contrast it with the effect in a task principally depending on visuomotor recalibration. …”
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The sustainable soul of the past. Learning from the present to regenerate outdated urban spaces by Antonella Falzetti, Giulio Minuto

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The Effect of the Augmented Reality Applications in Science Class on Students' Cognitive and Affective Learning by Fatih Serdar Yildirim

“…The results of the research have shown that while Augmented Reality (AR) applications increase students' achievement, contribute to the meaningful learning of abstract subjects, AR applications also increase the students' interest and motivation towards science lesson.…”
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OPTIMIZING AUTONOMOUS VEHICLE PATH PLANNING USING REINFORCEMENT LEARNING AND DYNAMIC MAPPING by Sundaram Arumugam, Frank Stomp

“…This research examines the combination of Reinforcement Learning (RL) with dynamic mapping to enhance route planning in autonomous vehicles (AVs). …”
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Promoting Pancasila values through dialectical project-based learning for Indonesian youth by Endang Prihatin, Encep Syarief Nurdin, Yadi Ruyadi, Tri Suhartati, An Nisaa Atila Thabrani

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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

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A Reward Optimization Method Based on Action Subrewards in Hierarchical Reinforcement Learning by Yuchen Fu, Quan Liu, Xionghong Ling, Zhiming Cui

“…Reinforcement learning (RL) is one kind of interactive learning methods. …”
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Recycled integrated circuit detection using reliability analysis and machine learning algorithms by Udaya Shankar Santhana Krishnan, Kalpana Palanisamy

“…In this work, three machine learning methods, namely K‐means clustering, back propagation neural network (BPNN) and support vector machines (SVMs), are used to detect the recycled IC aged for a shorter period (1 day) with minimum data size. …”
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Superconducting quantum computing optimization based on multi-objective deep reinforcement learning by Yangting Liu

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Influence of a Multiphase Inquiry-based Learning Project on Students' Science Literacy by Crystal Machado, Lizoon Nahar

Subjects: “…Inquiry-based Learning…”
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