Human Science and Technologies for Defence Networks and Applications Based on Intelligent Algorithms and Smart Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 8835
Special Issue Editors
Interests: health Informatics; IoT sensors and networks; Data inferencing system; mHealth; disaster recovery; smart environment; digital health; network security
Special Issues, Collections and Topics in MDPI journals
Interests: remote health monitoring; wearable sensors; robotics; autonomous vehicles; and computer vision
Interests: critical infrastructure; Internet of Things (IoT); cyber radicalisation; cyber security risk
Interests: cybersecurity; anomaly detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the defence network domain, human performance plays a key role for successful operations and combat. Human factors are deemed to be the most important and critical in defence operations and systems including networks and applications. This Special Issue aims at enhancing the capability of humans, their cognitive and physical performance, survivability, and protection at the individual as well as group levels. This includes studies into:
- AI (machine learning) to collect, transmit, process and create meaningful and effective data
- Human sensory, perceptual and cognitive processes
- Algorithms for situation and decision making
- Activity Recognition (AR) in line with health data
- Impact and measurement of stressors on human performance based on wearables and sensor networks
- Behaviour analysis and wellbeing of individuals
- Aspects of health training and treatments and/or technologies to enhance individual physical and mental performance
- Communications with humans and human-machine interfaces.
Dr. James Kang
Dr. Jumana Abu-Khalaf
Dr. Ahmed Ibrahim
Dr. Mohiuddin Ahmed
Dr. Naeem Janjua
Guest Editors
Manuscript Submission Information
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Keywords
- AI, machine learning
- Inference Algorithms for data efficiency and accuracy for data transmission
- Personal health device (PHD) sensors and networks
- Security in IoT and PHD networks
- Smart sensors
- Remote sensors and security
- WBAN sensors and security-embedded devices
- IoT devices integrated with lightweight security
- Anomaly detection
- Access control for sensor networks
- Actuators and sensors for smart home and smart grid
- Security architecture for wide area sensor networks, e.g., LPWAN
- IoT and sensor devices control and management networks
- Security algorithms for remote sensor networks
- Block-chain cryptography for sensor networks
- Security in parallel and distributed sensor networks and systems
- Security in mobile and wireless communications
- Activity Recognition
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