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[HTML][HTML] The role of deep learning in urban water management: A critical review
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …
potential to transform global economies, environments and societies. They have been …
[HTML][HTML] A brief review of random forests for water scientists and practitioners and their recent history in water resources
Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …
to gain prominence in water resources applications. However, existing applications are …
Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks
Nowadays, blockchain-based technologies are being developed in various industries to
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …
[HTML][HTML] An ensemble deep learning model for cyber threat hunting in industrial internet of things
By the emergence of the fourth industrial revolution, interconnected devices and sensors
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
An ensemble deep learning-based cyber-attack detection in industrial control system
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
[HTML][HTML] Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management
Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
A survey on industrial control system testbeds and datasets for security research
The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs)
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges
The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems
and processes, particularly on Industrial Control Systems (ICS). These systems are …
and processes, particularly on Industrial Control Systems (ICS). These systems are …
Efficient cyber attack detection in industrial control systems using lightweight neural networks and pca
Industrial control systems (ICSs) are widely used and vital to industry and society. Their
failure can have severe impact on both the economy and human life. Hence, these systems …
failure can have severe impact on both the economy and human life. Hence, these systems …