An overview of IoT privacy and security in smart cities
S Pramanik, D Pandey, S Joardar… - AIP Conference …, 2023 - pubs.aip.org
Citizens' and urban settings' life quality and services have significantly improved as a result
of smart cities. They have complete capability to manage physical things in real time along …
of smart cities. They have complete capability to manage physical things in real time along …
Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects
The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
Adaptive feature fusion: enhancing generalization in deep learning models
N Mungoli - arXiv preprint arXiv:2304.03290, 2023 - arxiv.org
In recent years, deep learning models have demonstrated remarkable success in various
domains, such as computer vision, natural language processing, and speech recognition …
domains, such as computer vision, natural language processing, and speech recognition …
Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …
challenge to communication architectures. To deal with this problem, communication …
Artificial intelligence in the smart city—a literature review
The influence of artificial intelligence (AI) in smart cities has resulted in enhanced efficiency,
accessibility, and improved quality of life. However, this integration has brought forth new …
accessibility, and improved quality of life. However, this integration has brought forth new …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
[PDF][PDF] Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfill the evergrowing demands of citizens. Information and
communication advancements will empower better administration of accessible resources …
communication advancements will empower better administration of accessible resources …
Dynamic adaptation of contention window boundaries using deep Q networks in UAV swarms
In flying ad hoc networks (FANET), medium access layer (MAC) protocols play an essential
role in ensuring better network performance. The effective utilization of network resources …
role in ensuring better network performance. The effective utilization of network resources …