Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

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Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing by Sambi Reddy Gottam, Udit Narayana Kar

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On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

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Using Passive BCI for Personalization of Assistive Wearable Devices: A Proof-of-Concept Study by Asghar Mahmoudi, Morteza Khosrotabar, Klaus Gramann, Stephan Rinderknecht, Maziar A. Sharbafi

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Data Overlay Mesh in Distributed Clouds Allowing Collaborative Applications by Milos Simic, Jovana Dedeic, Milan Stojkov, Ivan Prokic

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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

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The Impact of YOLO Algorithms Within Fall Detection Application: A Review by Ahlam R. Khekan, Hadi S. Aghdasi, Pedram Salehpour

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Multimodal Emotion Recognition: Emotion Classification Through the Integration of EEG and Facial Expressions by Songul Erdem Guler, Fatma Patlar Akbulut

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Real-Time Long-Range Object Tracking Based on Ensembled Model by Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, do-Hyeun Kim

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Temporally Deformable Convolution for Gait Recognition by Juyoung Kim, Beomseong Kim, Heesung Lee

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Corrections to “Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing” by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

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Approximate CNN Hardware Accelerators for Resource Constrained Devices by P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi

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Algorithm оf Computer Model Realization оf High-Frequency Processes in Switchgears Containing Non-Linear Over-Voltage Limiters by Ye. V. Dmitriev, A. M. Gashimov, N. R. Babayeva

“…Analysis of the Over-Voltage Limiter (OVL) influence on electromagnetic high-frequency over-voltages at commutations with isolators of unloaded sections of wires and possibility of application of a frequency-dependent resistor in case of necessity to facilitate OVL operation conditions is provided in the paper.It is shown that it is necessary to take into account characteristics of OVL by IEEE circuit and its modifications at computer modeling of high-frequency over-voltages.…”
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A Distribution Adaptive Feedback Training Method to Improve Human Motor Imagery Ability by Yukun Zhang, Chuncheng Zhang, Rui Jiang, Shuang Qiu, Huiguang He

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Drawing-Aware Parkinson’s Disease Detection Through Hierarchical Deep Learning Models by Ioannis Kansizoglou, Konstantinos A. Tsintotas, Daniel Bratanov, Antonios Gasteratos

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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

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Performance Enhancement of an SSVEP-Based Brain–Computer Interface in Augmented Reality Through Adaptive Color Adjustment of Visual Stimuli for Optimal Background Contrast by Cheong-Un Kim, Seonghun Park, Chang-Hwan Im

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