[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022‏ - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

A comprehensive review on vision-based violence detection in surveillance videos

FUM Ullah, MS Obaidat, A Ullah, K Muhammad… - ACM Computing …, 2023‏ - dl.acm.org
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …

Deepsmoke: Deep learning model for smoke detection and segmentation in outdoor environments

S Khan, K Muhammad, T Hussain, J Del Ser… - Expert Systems with …, 2021‏ - Elsevier
Fire disaster throughout the globe causes social, environmental, and economical damage,
making its early detection and instant reporting essential for saving human lives and …

Efficient violence detection in surveillance

R Vijeikis, V Raudonis, G Dervinis - Sensors, 2022‏ - mdpi.com
Intelligent video surveillance systems are rapidly being introduced to public places. The
adoption of computer vision and machine learning techniques enables various applications …

An efficient anomaly recognition framework using an attention residual LSTM in surveillance videos

W Ullah, A Ullah, T Hussain, ZA Khan, SW Baik - Sensors, 2021‏ - mdpi.com
Video anomaly recognition in smart cities is an important computer vision task that plays a
vital role in smart surveillance and public safety but is challenging due to its diverse …

Intelligent dual stream CNN and echo state network for anomaly detection

W Ullah, T Hussain, ZA Khan, U Haroon… - Knowledge-Based …, 2022‏ - Elsevier
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …

State-of-the-art violence detection techniques in video surveillance security systems: a systematic review

B Omarov, S Narynov, Z Zhumanov, A Gumar… - PeerJ Computer …, 2022‏ - peerj.com
We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …

Short-term prediction of residential power energy consumption via CNN and multi-layer bi-directional LSTM networks

FUM Ullah, A Ullah, IU Haq, S Rho, SW Baik - IEEE Access, 2019‏ - ieeexplore.ieee.org
Excessive Power Consumption (PC) and demand for power is increasing on a daily basis,
due to advancements in technology, the rise in electricity-dependent machinery, and the …

A review on state-of-the-art violence detection techniques

M Ramzan, A Abid, HU Khan, SM Awan, A Ismail… - IEEE …, 2019‏ - ieeexplore.ieee.org
With the rapid growth of surveillance cameras to monitor the human activity demands such
system which recognize the violence and suspicious events automatically. Abnormal and …

An overview of violence detection techniques: current challenges and future directions

N Mumtaz, N Ejaz, S Habib, SM Mohsin… - Artificial intelligence …, 2023‏ - Springer
Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …