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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
Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT
Seyed Mohammad Hossein Hashemi - Leila Safari - Mohsen Hooshmand - Amirhossein Dadashzadeh Taromi
AIRSPAN-X: Federated XGBoost with Sequential Anomaly Detection for Explainable Urban Air Quality Prediction
Saghar Shafaati - S. Hossein Erfani
Lossless Watermarking in Encrypted Triangular Mesh Models Based on Optimized Vertex Estimation and Error Histogram Shifting
Alireza Ghaemi - Habibollah Danyali - Kamran Kazemi - Zahra Qodrati - Amirhossein Ghaemi - Seyedeh Masoumeh Taji
DEW-WIN: A Dynamic Energy-aware Window-based Scheduler for Mixed-criticality Systems
Mahin Moradiyan - Yasser Sedaghat - Pouria Hosseini - Yousef Rezazadeh
SASIAF, An Scalable Accelerator For Seismic Imaging on Amazon AWS FPGAs
Mostafa Koraei - S.Omid Fatemi
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
Alireza Aghelan - Modjtaba Rouhani
GAP: Fault tolerance Improvement of Convolutional Neural Networks through GAN-aided Pruning
Pouya Hosseinzadeh - Yasser Sedaghat - Ahad Harati
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
Fatemeh Fouladi - Ali Rostami - Hedieh Sajedi
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition
Hamid Ahmadabadi - Omid Nejati Manzari - Ahmad Ayatollahi
Adaptive Ensemble Learning for Software Defect Prediction: A Dynamic Weighted Hybrid Model Using SVM, DT, and ANFIS-PSO
Mohsen EsfandyariDoulabi - Amin Esfandiyari Doulabi - Javad Khaligh
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