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Topic Review
AI Revolution in Digital Finance in Saudi Arabia
In recent years, Artificial Intelligence (AI) has become widespread, driven by abundant daily data production and increased computing power. It finds applications across various sectors, including transportation, education, healthcare, banking, and finance. The financial industry, in particular, is rapidly adopting AI to achieve significant cost savings. AI has the potential to revolutionize financial services by offering tailored, faster, and more cost-effective solutions. Saudi Arabia is emerging as a growing market in this field, emphasizing technology-driven institutions. Despite gaining prominence and government support, AI has yet to play a crucial role in improving the efficiency of financial transactions.
  • 465
  • 27 Nov 2023
Topic Review
Quantifying Digital Biomarkers for Well-Being
Wearable devices have become ubiquitous, collecting rich temporal data that offers valuable insights into human activities, health monitoring, and behavior analysis. Leveraging these data, researchers have developed innovative approaches to classify and predict time-based patterns and events in human life. Time-based techniques allow the capture of intricate temporal dependencies, which is the nature of the data coming from wearable devices.
  • 142
  • 27 Nov 2023
Topic Review
DoS Attack in Cloud Based Kubernetes Using eBPF
Kubernetes is an orchestration tool that runs and manages container-based workloads. It works as a collection of different virtual or physical servers that support multiple storage capacities, provide network functionalities, and keep all containerized applications active in a desired state. It also provides an increasing fleet of different facilities, known as microservices. However, Kubernetes’ scalability has led to a complex network structure with an increased attack vector. Attackers can launch a Denial of service (DoS) attack against servers/machines in Kubernetes by producing fake traffic load, for instance. DoS or Distributed Denial of service (DDoS) attacks are malicious attempts to disrupt a targeted service by flooding the target’s service with network packets. Constant observation of the network traffic is extremely important for the early detection of such attacks. Extended Berkeley Packet Filter (eBPF) and eXpress Datapath (XDP) are advanced technologies in the Linux kernel that perform high-speed packet processing. In the case of Kubernetes, eBPF and XDP can be used to protect against DDoS attacks by enabling fast and efficient network security policies.
  • 466
  • 27 Nov 2023
Topic Review
Gait Recognition
Gait recognition aims to identify a person based on his unique walking pattern. Compared with silhouettes and skeletons, skinned multi-person linear (SMPL) models can simultaneously provide human pose and shape information and are robust to viewpoint and clothing variances. 
  • 152
  • 27 Nov 2023
Topic Review
3D Object Detection Methods
Effective environmental perception is critical for autonomous driving; thus, the perception system requires collecting 3D information of the surrounding objects, such as their dimensions, locations, and orientation in space.
  • 259
  • 27 Nov 2023
Topic Review
Sentiment Analysis of Comment Texts
With information technology pushing the development of intelligent teaching environments, the online teaching platform emerges timely around the globe, and how to accurately evaluate the effect of the “any-time and anywhere” teacher–student interaction and learning has become one of the hotspots of today’s education research. Bullet chatting in online courses is one of the most important ways of interaction between teachers and students. The feedback from the students can help teachers improve their teaching methods, adjust teaching content, and schedule in time so as to improve the quality of their teaching. 
  • 217
  • 27 Nov 2023
Topic Review
Urban Flood Monitoring Technology
Owing to rapid climate change, large-scale floods have occurred yearly in cities worldwide, causing serious damage. General flooding and overflow modeling was performed based on a model that utilizes the flow of water and its geographical characteristics. More detailed geographical data and drainage network information are utilized in urban regions.
  • 161
  • 27 Nov 2023
Topic Review
Efficient Thorax Disease Classification by DCNN
Thorax disease is a life-threatening disease caused by bacterial infections that occur in the lungs. It could be deadly if not treated at the right time, so early diagnosis of thoracic diseases is vital. Computer vision techniques using deep learning are being used specifically for categorizing medical and natural images. As a direct result of this endeavor’s success, many academics are presently using deep convolutional neural networks (DCNNs) to diagnose thoracic illnesses based on chest radiographs. 
  • 86
  • 27 Nov 2023
Topic Review
Algorithms for Histopathology Image Detection and Segmentation
Histopathology image analysis is considered as a gold standard for the early diagnosis of serious diseases such as cancer. The advancements in the field of computer-aided diagnosis (CAD) have led to the development of several algorithms for accurately segmenting histopathology images.
  • 189
  • 27 Nov 2023
Topic Review
Blockchain-Based Model for the Prevention of Superannuation Fraud
Superannuation is the fund set aside by employers to provide their employees with a dignified retirement. The issues can arise with retirement funds from employers, such as failure to make required contributions to an employee’s superannuation fund, incorrect payments, or debiting the wrong fund, contrary to legal or contractual obligations. Blockchain technology has gained popularity because of its ability to improve security and prevent fraud across many sectors, including finance.
  • 252
  • 27 Nov 2023
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