AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
Advanced informatic technologies for intelligent construction: A review
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 …
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
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 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 …
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
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 …
security issues. With the advancement of the Internet over years, the number of attacks over …
Deep learning-based intrusion detection systems: a systematic review
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …
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 …
attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users …
Deep learning in IoT intrusion detection
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 …
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 …
achieved great success in numerous scientific and technological disciplines, including …
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …