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13th International Conference on Computer and Knowledge Engineering
The Internet of Things-Enabled Smart City: An In-Depth Review of Its Domains and Applications
Authors :
Amir Meydani
1
Ali Ramezani
2
Alireza Meidani
3
1- Department of Electrical, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
2- Department of Electrical, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
3- School of Electrical and Computer Engineering Faculty of Engineering University of Tehran
Keywords :
Internet of Things (IoT)،Smart City (SC)،Artificial Intelligence (AI)،Deep Learning (DL)،Machine Learning (ML)
Abstract :
The Internet of Things (IoT) refers to a comprehensive system that integrates diverse devices and technologies, thereby eliminating the need for human involvement. IoT has played a pivotal role in advancing the creation of Smart City (SC) systems, which aim to promote sustainable living, enhance citizen comfort, and boost productivity. IoT-enabled SC encompasses multiple sectors and relies on diverse underlying systems to facilitate its functioning. This article begins with an overview of the IoT-enabled SC. It proceeds to comprehensively investigate seven primary sections and over thirty sub-sections, drawing insights from a thorough analysis of one hundred credible papers. The purpose of this paper is to provide a thorough comprehension of the importance of SCs in both individual and societal contexts.
Papers List
List of archived papers
BERT transformers Multitask learning Sarcasm and Sentiment classification (BMSS)
Fatemeh Molavi - Jamshid Bagherzadeh Mohasefi
Weakly Supervised Convolutional Neural Network for Automatic Gleason Grading of Prostate Cancer
Maryam Kamareh - Mohammad Sadegh Helfroush - Kamran Kazemi
Identifying novel disease genes based on protein complexes and biological features
Mahshad Hashemi - Eghbal Mansoori
A large input-space-margin approach for adversarial training
Reihaneh Nikouei - Mohammad Taheri
Brain Age Estimation with Twin Vision Transformer using Hippocampus Information Applicable to Alzheimer Dementia Diagnosis
Zahra Qodrati - Seyedeh Masoumeh Taji - Amirhossein Ghaemi - Habibollah Danyali - Kamran Kazemi - Alireza Ghaemi
Time Series Analysis by Bi-GRU for Forecasting Bitcoin Trends based on Sentiment Analysis
Fatemeh Saadatmand - Mohammad Ali Zare Chahoki
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Alireza Aghelan - Modjtaba Rouhani
Predicting the Recovery Rate of COVID-19 Using a Novel Hybrid Method
Fatemeh Ahouz - Ebrahim Sayahi
Smart Home Connectivity: Identifying the Best IoT Application Layer Protocols
Hossein Shahinzadeh - Zohreh Azani - Sundus F. Al-Hameedawi - S. Mohammadali Zanjani - Saiedeh Mehrabani-Najafabadi - Mohammadreza Hemmati
AVID: A VARIATIONAL INFERENCE DELIBERATION FOR META-LEARNING
Alireza Javaheri - Arsham Gholamzadeh Khoee - Saeed Reza Kheradpisheh - Hadi Farahani - Mohammad Ganjtabesh
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