AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

Advanced informatic technologies for intelligent construction: A review

L Zhang, Y Li, Y Pan, L Ding - Engineering Applications of Artificial …, 2024 - Elsevier
Since there is a growing interest in driving the digital transformation of the construction
industry, the goal of this paper is to provide a full picture and understanding of the emerging …

Future trends and current state of smart city concepts: A survey

A Kirimtat, O Krejcar, A Kertesz, MF Tasgetiren - IEEE access, 2020 - ieeexplore.ieee.org
Intelligent systems are wanting for cities to cope with limited spaces and resources across
the world. As a result, smart cities emerged mainly as a result of highly innovative ICT …

The impact assessment of smart city policy on urban green total-factor productivity: evidence from China

KL Wang, SQ Pang, FQ Zhang, Z Miao… - … Impact Assessment Review, 2022 - Elsevier
This study systematically explored the effect of smart city policy (SCP) on urban green total-
factor productivity (GTFP) in China. We first measured the urban GTFP using the Luenberger …

Performance analysis of machine learning algorithms in intrusion detection system: A review

T Saranya, S Sridevi, C Deisy, TD Chung… - Procedia Computer …, 2020 - Elsevier
The rapid growth of technologies not only formulates life easier but also exposes a lot of
security issues. With the advancement of the Internet over years, the number of attacks over …

Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

DDoS attacks detection using machine learning and deep learning techniques: Analysis and comparison

MA Al-Shareeda, S Manickam… - Bulletin of Electrical …, 2023 - mail.beei.org
The security of the internet is seriously threatened by a distributed denial of service (DDoS)
attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users …

Deep learning in IoT intrusion detection

S Tsimenidis, T Lagkas, K Rantos - Journal of network and systems …, 2022 - Springer
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

Big data analytics deep learning techniques and applications: A survey

HA Selmy, HK Mohamed, W Medhat - Information systems, 2024 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

SW Lee, M Mohammadi, S Rashidi… - Journal of Network and …, 2021 - Elsevier
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …