Intelligence of Things: Technologies and Applications The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1
This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer Nature Switzerland
2023, 2023
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Edition: | 1st ed. 2023 |
Series: | Lecture Notes on Data Engineering and Communications Technologies
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- FPGA/AI-Powered Data Security for IoT Edge Computing Platforms: A Survey and Open Issues
- A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images
- Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filtering
- Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-User SIMO-RSMA Systems
- Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process
- Adaptive Conflict-Averse Multi-Gradient Descent for Multi-Objective Learning
- Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimization
- Research and Develop Solutions to Traffic Data Collection Based on Voice Techniques
- Using Machine Learning Algorithms to Diagnosis Melasma from Face Images
- Reinforcement Learning for Solving Portfolio Selection Problems in the Vietnamese Market
- Towards a Smart Parking System with the Jetson Xavier Edge Computing Platform
- AlPicoSoC: A Low-Power RISC-V Based System on Chip for Edge Devices with a Deep Learning Accelerator
- A Transparent Scalable E-Voting Protocol Based on Open Vote Network Protocol and Zk-STARKs
- DarkMDE: Excavating Synthetic Images for Nighttime Depth Estimation Using Cross-Domain Supervision