International Conference on Computer and Knowledge Engineering

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The Internet of Things-Enabled Smart City: An In-Depth Review of Its Domains and Applications

Authors :

Amir Meydani¹ Ali Ramezani² Alireza Meidani³

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

Vaccine Distribution Modelling in Pandemics through Multi-Agent Systems: COVID-19 Case

Hossein Yarahmadi - Mohammad Ebrahim Shiri - Hamid Reza Navidi - Arash Sharifi - Moharram Challenger - Hassan Piriaei

Robust Distributed Learning over Heterogeneous Adaptive Networks based on Federated BSP Model

Fatemeh Barani - MohammadHafez Yari - Abdorreza Savadi - Hadi Sadoghi Yazdi

XAI for Transparent Autonomous Vehicles: A New Approach to Understanding Decision-Making in Self-driving Cars

Maryam Sadat Hosseini Azad - Amir Abbas Hamidi Imani - Shahriar Baradaran Shokouhi

Intelligent Rule Extraction in Complex Event Processing Platform for Health Monitoring Systems

Mohammad Mehdi Naseri - Shima Tabibian - Elaheh Homayounvala

Security Analysis of MiniApps: Vulnerabilities, Exploits, and a Tailored Mitigation Framework

Keyhan Mohammadi - Arman Moradi - Reza Ebrahimi Atani

GAP: Fault tolerance Improvement of Convolutional Neural Networks through GAN-aided Pruning

Pouya Hosseinzadeh - Yasser Sedaghat - Ahad Harati

PeQa: a Massive Persian Quenstion-Answering and Chatbot Dataset

Fatemeh Zahra Arshia - Mohammad Ali Keyvanrad - Saeedeh Sadat Sadidpour - Sayyid Mohammad Reza Mohammadi

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani

A Synergistic Hybrid Architecture with Residual Attention and Mixture-of-Experts for Robust Hour-Ahead Forex Forecasting

Alireza Abbaszadeh - Seyyed Abed Hosseini - Mohammad Reza Akbarzadeh Totonchi

SASIAF, An Scalable Accelerator For Seismic Imaging on Amazon AWS FPGAs

Mostafa Koraei - S.Omid Fatemi