Humanización del aprendizaje en la era de la información: una arista andragógica / Humanization of the learning at the information age: an edge from the andragogy by José Laurian Ramírez Díaz

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“We Grind Each Other as Stones and Get Rid of Sharp Edges”: Young People’s Reported Positive Change, Learnings, and Growth Through Romantic Relationships by Nikola Kallová

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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

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Research on Resource Reservation Strategy for Edge Federation by Hengzhou Ye, Huangran Li, Jiaming Li, Qiu Lu, Gong Chen

“…It proposes a load prediction-based resource reservation strategy and optimizes this strategy according to the load levels present in the edge federation. Subsequently, we introduce a multi-agent deep deterministic policy gradient (RRP-MADDPG) approach based on a multi-agent deep reinforcement learning algorithm aimed at reducing average task delay. …”
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Variational autoencoders for at-source data reduction and anomaly detection in high energy particle detectors by Alexander Yue, Haoyi Jia, Julia Gonski

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A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation by Qingxu Meng, Weijiang Wang, Hang Qi, Hua Dang, Minli Jia, Xiaohua Wang

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Task migration with deadlines using machine learning-based dwell time prediction in vehicular micro clouds by Ziqi Zhou, Agon Memedi, Chunghan Lee, Seyhan Ucar, Onur Altintas, Falko Dressler

“…This paper addresses two main challenges. First, we present a task migration algorithm supporting deadlines in vehicular edge computing. …”
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DeepVinci: Organ and Tool Segmentation with Edge Supervision and a Densely Multi-Scale Pyramid Module for Robot-Assisted Surgery by Li-An Tseng, Yuan-Chih Tsai, Meng-Yi Bai, Mei-Fang Li, Yi-Liang Lee, Kai-Jo Chiang, Yu-Chi Wang, Jing-Ming Guo

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Security and Privacy in the Internet of Everything (IoE): A Review on Blockchain, Edge Computing, AI, and Quantum-Resilient Solutions by Haluk Eren, Özgür Karaduman, Muharrem Tuncay Gençoğlu

“…Furthermore, a future vision is presented regarding federated learning-based privacy-preserving AI solutions, post-quantum digital signatures, and lightweight consensus algorithms. …”
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Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform by Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le

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Crowd counting at the edge using weighted knowledge distillation by Muhammad Asif Khan, Hamid Menouar, Ridha Hamila, Adnan Abu-Dayya

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A Novel Attention-Guided Enhanced U-Net With Hybrid Edge-Preserving Structural Loss for Low-Dose CT Image Denoising by Muhammad Zubair, Helmi Md Rais, Talal Alazemi

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Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks by William Villegas-Ch, Rommel Gutierrez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

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Advancing depth perception in spatial computing with binocular metalenses by Junkyeong Park, Gyeongtae Kim, Junsuk Rho

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Persistent monitoring of insect-pests on sticky traps through hierarchical transfer learning and slicing-aided hyper inference by Fateme Fotouhi, Fateme Fotouhi, Kevin Menke, Aaron Prestholt, Ashish Gupta, Matthew E. Carroll, Hsin-Jung Yang, Edwin J. Skidmore, Matthew O’Neal, Nirav Merchant, Sajal K. Das, Peter Kyveryga, Baskar Ganapathysubramanian, Baskar Ganapathysubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Soumik Sarkar

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Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection by Takahiro Shindo, Taiju Watanabe, Yui Tatsumi, Hiroshi Watanabe

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Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports by Yang Hu, Yaxing Li, Benlai Cui, Hao Su, Pan Zhu

“…Abstract This study presents an Internet of Things (IoT)-enabled Deep Learning Monitoring (IoT-E-DLM) model for real-time Athletic Performance (AP) tracking and feedback in collegiate sports. …”
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Edge AI for Real-Time Anomaly Detection in Smart Homes by Manuel J. C. S. Reis, Carlos Serôdio

“…This paper presents an Edge AI-based anomaly detection framework that combines Isolation Forest (IF) and Long Short-Term Memory Autoencoder (LSTM-AE) models to identify anomalies in IoT sensor data. …”
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A Survey for Blockchain-Enabled Resource Management in Edge Networks by Sharon A. Boamah, Jean D. Louis, Janise McNair, Juan E. Gilbert

“…Unlike other surveys, we focus this work on three specific contexts of blockchain integration for network resource management: Cloud and Edge Computing, Radio Access Networks in Next Generation Wireless Networks, Reinforcement Learning, and Federated Learning. …”
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Split Edge-Cloud Neural Networks for Better Adversarial Robustness by Salmane Douch, Mohamed Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Driss Benhaddou

“…Moreover, intelligent tasks such as deep learning ones demand more memory and processing power than edge devices can handle. …”
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