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Topic Review
Enhancing Cloud-Based Security
Developing a simple and efficient attack detection system for ensuring the security of cloud systems against cyberthreats is a crucial and demanding process in the present time. In traditional work, various machine-learning-based detection methodologies have been developed for securing the cloud network. 
  • 119
  • 25 Jan 2024
Topic Review
NLP- and API-Sequence-Based Malware Detection and Classification Methodologies
The surge in malware threats propelled by the rapid evolution of the internet and smart device technology necessitates effective automatic malware classification for robust system security.
  • 232
  • 24 Jan 2024
Topic Review
LiDAR Point Clouds Semantic Segmentation in Autonomous Driving
Although semantic segmentation of 2D images is crucial to attaining scene understanding, there are still some limitations to visual sensors, such as the inefficiency of acquiring information under insufficient light, lack of depth information and limited field of view. In contrast, LiDAR can obtain accurate depth information with higher density and wider viewing field regardless of lighting conditions, which makes it a more reliable source of information for environmental perception.
  • 197
  • 24 Jan 2024
Topic Review
Convolutional Neural Networks Applied to Face Mask Classification
The preventive measures taken to curb the spread of COVID-19 have emphasized the importance of wearing face masks to prevent potential infection with serious diseases during daily activities or for medical professionals working in hospitals. Due to the mandatory use of face masks, various methods employing artificial intelligence and deep learning have emerged to detect whether individuals are wearing masks.
  • 125
  • 24 Jan 2024
Topic Review
Crack Detection and Segmentation in Concrete Structures
To prevent potential instability, the early detection of cracks is imperative due to the prevalent use of concrete in critical infrastructure. Automated techniques leveraging artificial intelligence, machine learning, and deep learning as the traditional manual inspection methods are time-consuming. The existing automated concrete crack detection algorithms, despite recent advancements, face challenges in robustness, particularly in precise crack detection amidst complex backgrounds and visual distractions, while also maintaining low inference times.
  • 143
  • 24 Jan 2024
Topic Review
Deep-Learning-Powered Zero-Watermarking Scheme for Images
In order to safeguard image copyrights, zero-watermarking technology extracts robust features and generates watermarks without altering the original image. Traditional zero-watermarking methods rely on handcrafted feature descriptors to enhance their performance.
  • 144
  • 24 Jan 2024
Topic Review
Generative Adversarial Network for Wireless Physical Layer Authentication
Wireless physical layer authentication has emerged as a promising approach to wireless security. The topic of wireless node classification and recognition has experienced significant advancements due to the rapid development of deep learning techniques. Ubiquitous technologies are experiencing significant growth, characterized by the development of several innovative systems, including smart vehicles, smart homes, smart cities and intelligent applications in industries and healthcare. 
  • 192
  • 24 Jan 2024
Topic Review
Autonomous Navigation of Agricultural Robots
Regarding agricultural harvesting robots, they typically consist of mobile platforms carrying robotic arms. These robots require advanced vision systems, employing adaptive thresholding algorithms, as well as texture-based methods and color shape characteristic extraction, to identify target fruits.
  • 149
  • 23 Jan 2024
Topic Review
Deep Learning Building Blocks
Industry 4.0 characterizes the transformation from traditional automation to engineered cyber-physical systems with human-like intelligence. Indeed, this gives Artificial Intelligence (AI) the privilege of playing a central role in Industry 4.0. Moreover, the leading branch of AI turned out to be deep learning (DL). DL is an essential subfield of machine learning (ML) characterized by its layered structure of artificial neural networks (ANNs). 
  • 297
  • 23 Jan 2024
Topic Review
Ethical Principles of Artificial Intelligence in Healthcare
Integrating Artificial Intelligence (AI) in healthcare marks a significant milestone, signaling the advent of a new era in precision medicine. This transformative shift holds immense promise for revolutionizing patient care, offering advancements that were once considered futuristic.
  • 342
  • 23 Jan 2024
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