[HTML][HTML] A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

Y Himeur, A Alsalemi, A Al-Kababji, F Bensaali… - Information …, 2021 - Elsevier
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …

Role of machine learning and deep learning in securing 5G-driven industrial IoT applications

P Sharma, S Jain, S Gupta, V Chamola - Ad Hoc Networks, 2021 - Elsevier
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

[HTML][HTML] Assessing behavioral data science privacy issues in government artificial intelligence deployment

JR Saura, D Ribeiro-Soriano… - Government Information …, 2022 - Elsevier
In today's global culture where the Internet has established itself as the main tool for
communication and commerce, the capability to massively analyze and predict citizens' …

[HTML][HTML] Smart city and cyber-security; technologies used, leading challenges and future recommendations

C Ma - Energy Reports, 2021 - Elsevier
Today, some cities around the world have tended to use new technologies and become
smart city. New technologies improve the quality of citizens' life. However, the use of any …

A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network

R Kumar, P Kumar, R Tripathi, GP Gupta, S Garg… - Journal of Parallel and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …

Human activity recognition: Review, taxonomy and open challenges

MH Arshad, M Bilal, A Gani - Sensors, 2022 - mdpi.com
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Machine learning applications in internet-of-drones: systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Automatic detection of citrus fruit and leaves diseases using deep neural network model

A Khattak, MU Asghar, U Batool, MZ Asghar… - IEEE …, 2021 - ieeexplore.ieee.org
Citrus fruit diseases are the major cause of extreme citrus fruit yield declines. As a result,
designing an automated detection system for citrus plant diseases is important. Deep …

IoT and big data applications in smart cities: recent advances, challenges, and critical issues

M Talebkhah, A Sali, M Marjani, M Gordan… - IEEE …, 2021 - ieeexplore.ieee.org
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …