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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
A Vision-Based Method for Human Activity Recognition Using Local Binary Pattern
Babak Goodarzi - Reza Javidan - Mohammad Sadegh Rezaei
Online Task Offloading and Scheduling in Fog-Cloud Environment based on Reinforcement Learning
Ali Sheidaee - Leili Farzinvash - Alireza Sokhandan
LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
Mobina Kashaniyan - Amirhossein Ghassemi - Nasser Mozayani
Multi-Fusion Ensemble CNN for Drug–Target Binding Affinity Prediction Using Transformer-Based Molecular and Protein Representations
Betsabeh Tanoori
IranITJobs2021: a Dataset for Analyzing Iranian Online IT Job Advertisements Collected Using a New Crowdsourcing Process
Fakhroddin Noorbehbahani - Nikta Akbarpour - Mohammad Reza Saeidi
TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration
Saghar Shafaati - Javad Mohammadzadeh
Classification of benign and malignant tumors in Digital Breast Tomosynthesis images using Radiomic-based methods
Farangis Sajadi moghadam - Saeid Rashidi
A New Inter-layer Similarity metric for link prediction in multilayer networks
Alireza Abdollahpouri - Samira Rafiee
A Novel Density-Based KNN in Pattern Recognition
Sajad Haghzad Klidbary - Abazar Arabameri
Multi-source Ensemble Model for Scene Recognition
Amir Hossein Saleknia - Ahmad Ayatollahi
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