Topic Review
Deep Learning Using Explainable Artificial Intelligence and Clustering
Explainable artificial intelligence (XAI) is a field of Artificial Intelligence (AI) that seeks to offer insights into black-box models and their predictions. Trust, performance, legal (regulation), and ethical considerations are some reasons researchers advocate for XAI.
  • 305
  • 23 Nov 2023
Topic Review
Interplanetary File System, Ethereum, Web3.js, Ethers.js and Dependencies
Closed-circuit television (CCTV) cameras and black boxes are indispensable for road safety and accident management. Visible highway surveillance cameras can promote safe driving habits while discouraging moving violations. According to CCTV laws, footage captured by roadside cameras must be securely stored, and authorized persons can access it. Footages collected by CCTV and Blackbox are usually saved to the camera’s microSD card, the cloud, or hard drives locally but there are concerns about security and data integrity. These issues may be addressed by blockchain technology. The cost of storing data on the blockchain, on the other hand, is prohibitively expensive. 
  • 223
  • 23 Nov 2023
Topic Review
Predictability of Thalassemia Using AI
Thalassemia represents one of the most common genetic disorders worldwide, characterized by defects in hemoglobin synthesis. The affected individuals suffer from malfunctioning of one or more of the four globin genes, leading to chronic hemolytic anemia, an imbalance in the hemoglobin chain ratio, iron overload, and ineffective erythropoiesis. Despite the challenges posed by this condition, recent years have witnessed significant advancements in diagnosis, therapy, and transfusion support, significantly improving the prognosis for thalassemia patients.
  • 190
  • 23 Nov 2023
Topic Review
Vision-Autocorrect
The last two years have seen a rapid rise in the duration of time that both adults and children spend on screens, driven by the recent COVID-19 health pandemic. A key adverse effect is digital eye strain (DES). Recent trends in human-computer interaction and user experience have proposed voice or gesture-guided designs that present more effective and less intrusive automated solutions. These approaches inspired the design of a solution that uses facial expression recognition (FER) techniques to detect DES and autonomously adapt the application to enhance the user’s experience.
  • 304
  • 23 Nov 2023
Topic Review
Scale-Arbitrary Super-Resolution for Satellite Images
The advancements in image super-resolution technology have led to its widespread use in remote sensing applications. The existing scale-arbitrary super-resolution methods are primarily predicated on learning either a discrete representation (DR) or a continuous representation (CR) of the image, with DR retaining the sensitivity to resolution and CR guaranteeing the generalization of the model.
  • 165
  • 23 Nov 2023
Topic Review
Automatic Barrier Coverage in Smart City
Barrier coverage is a fundamental application in wireless sensor networks, which are widely used for smart cities. In applications, the sensors form a barrier for the intruders and protect an area through intrusion detection.
  • 210
  • 23 Nov 2023
Topic Review
Semantic Video Segmentation
Recent approaches for fast semantic video segmentation have reduced redundancy by warping feature maps across adjacent frames, greatly speeding up the inference phase. Researchers build a non-key-frame CNN, fusing warped context features with current spatial details. Based on the feature fusion, the context feature rectification (CFR) module learns the model’s difference from a per-frame model to correct the warped features. 
  • 138
  • 22 Nov 2023
Topic Review
Vehicular Ad Hoc Network in a Parking Lot
Vehicular ad hoc networks (VANETs) are provided as an important component of Intelligent Transportation Systems (ITS) especially for enhancing traffic safety. The primary goal of VANETs is to improve the safety of drivers and passengers by facilitating the exchange of information between vehicles.
  • 179
  • 22 Nov 2023
Topic Review
Risk Traceability Using Blockchain Technology
Regulatory authorities, consumers, and producers alike are alarmed by the issue of food safety, which is a matter of international concern. The conventional approaches utilized in food quality management demonstrate deficiencies in their capacity to sufficiently address issues related to traceability, transparency, and accountability. The emergence of blockchain technology (BCT) has provided a feasible approach to tackle the challenge of regulating food safety. 
  • 171
  • 22 Nov 2023
Topic Review
Fuzzy Time Series for Electricity Demand
A time series is a succession of data ordered chronologically in defined time intervals. The data may be evenly spaced, such as the record of daily solar generation from a photovoltaic plant, or it may be different, such as the number of annual earthquakes in a defined area. This type of representation offers many advantages because its analysis allows us to discover underlying relationships in the data, which can be from various time series or within the data itself. These can be used to extrapolate behavior in the past, during periods of data loss, and in the future.
  • 135
  • 22 Nov 2023
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