Recent Developments and Challenges in Artificial Intelligence and Deep Learning in Advanced Sensing Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 25 January 2025 | Viewed by 759
Special Issue Editors
2. School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
Interests: artificial intelligence; deep learning; machine learning and data analytics; intelligent systems; Internet of Things and edge computing
Special Issues, Collections and Topics in MDPI journals
Interests: electrical and computer engineering; intelligent and smart sensor systems; IoT and data analytics for environmental sensing; innovative technologies for real world systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensing technologies can benefit sensing processes in many research fields and applications. Significant advances in artificial intelligence (AI) have given rise to advanced intelligent sensor technologies and sensing systems. The emergence of high-end AI sensor technology is a cornerstone of the new era of technological advancements and transformation in satellites, military applications, artificial intelligent Internet of Things, neuromorphic computing systems, and the next generation of robots and Industry 5.0. These sensing systems have advanced capabilities as they can use multiple sensors capable of detecting and processing multidimensional information. Moreover, low-end AI sensor technology can also provide cost-effective solutions for a wide range of applications such as smart buildings, smart homes, and individual healthcare.
Furthermore, recent advances in deep learning techniques have also led to significant progress in sensing systems. Due to improvements in computation power and speed and graphics processing units (GPUs), the design and development of new deep learning algorithms has been accelerated. Several fundamental deep learning frameworks, such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), and transformer architectures, have been successfully applied in the fields of image processing, natural language processing, automatic speech recognition, and healthcare informatics. They have also contributed to great achievements in image, speech, and text modalities and have continuously emerged in different architectures to provide better accuracy for targeted tasks.
This Special Issue focuses on AI sensors, advanced AI sensing systems, and new or improved deep learning architectures or techniques to address a broad range of sensor- and sensing-related issues in intelligent systems. Contributions addressing the design and development of novel deep learning frameworks, specifically focusing on their effectiveness, intelligence, and reliability in achieving superior performance, are also encouraged. This Special Issue is dedicated to theoretical innovations, research, and developments for real-world applications. The potential topics of this Special Issue include, but are not limited to, the following:
- Emerging AI sensors or advanced sensing systems;
- New deep learning techniques and applications;
- AI sensing technology for smart cities, health monitoring and medical applications, industrial sensing, and urban environmental monitoring and sensing;
- AI sensing technology in marine sensing, oceans, coastal zones, and inland waters;
- Wearable AI sensors and self-powered sensor systems;
- AI and deep learning techniques in sensing, smart cities, and remote sensing applications;
- AI Internet of Things and Internet of Vehicles for sensing and smart cities;
- AI and situational awareness for natural disaster monitoring;
- AI sensors or sensing for robots and autonomous systems;
- Big data processing using deep learning and sensing;
- New deep learning and image processing techniques and applications;
- AI and deep learning in embedded systems.
Prof. Dr. Kah Phooi Seng
Prof. Dr. Li-Minn Ang
Guest Editors
Manuscript Submission Information
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Keywords
- AI sensors
- intelligent sensing
- advanced sensing
- deep learming
- AI internet of things
- AI wearables
