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Topic Review
3D Estimation Using an Omni-Camera and a Spherical-Mirror
There is a novel approach for estimating the 3D information of an observed scene utilizing a monocular image based on a catadioptric imaging system employing an omnidirectional camera and a spherical mirror. Researchers aim to develop a method that is independent of learning and makes it possible to capture a wide range of 3D information using a compact device.
  • 365
  • 08 Aug 2023
Topic Review
The Analysis of Chaos-Based Metaheuristic Methods
The concept of chaos has been applied extensively in various applications with the growth of nonlinear dynamical systems that are highly sensitive to the initial state. Chaos-based algorithms can generate a large number of different search points in a short time, which can help explore the optimization area more efficiently and quickly than traditional optimization algorithms. In this regard, a new method named CSCSO is proposed to improve the shortcomings of the recently proposed Sand Cat Swarm Optimization (SCSO) algorithm with this chaos theory. This algorithm has also been tested in engineering and social science-based constrained problems. Especially in social sciences, it solves basic problems with this kind of artificial intelligence-based mechanism instead of traditional methods such as questionnaires and fieldresearch.
  • 406
  • 07 Aug 2023
Topic Review
Sequential Tracking Models, Physics-Based Models and Hybrid Models
Spatio-temporal, geo-referenced datasets are rapidly expanding and will continue to do so in the near future due to technological advancements as well as social and commercial factors. The introduction of the automatic identification system (AIS), which allows neighboring ships to communicate frequently with their location and navigation status via a radio signal, has enabled researchers to get their hands on datasets rich in spatio-temporal information. AIS data are collected from satellites and ground stations located all over the world. AIS data facilitates the mapping and characterization of maritime human and vessel activities, thus allowing for the real-time geo-tracking and identification of vessels equipped with AIS. Hence, in addition to its initial application in collision avoidance, AIS is now also a massive data source of unparalleled quality for diverse tracking tasks. The AIS dataset contains the location and motion features of the vessels. Each data point or row in the AIS data file is represented by a time-sequenced node that contains the vessel’s coordinates, speed, and traveling direction. Each node also has an associated time stamp indicating the data collection time. AIS dataset is suitable for  the track association problem solving approach for its spatio-temporal characteristics.
  • 194
  • 07 Aug 2023
Topic Review
Blockchain Technology and E-Government
The field of electronic government (e-government) is gaining prominence in contemporary society, as it has a significant influence on the wider populace within the context of a technologically advanced world. E-government makes use of information and communication technologies (ICTs) at various levels and domains within government agencies and the public sector. ICT reduces manual labour, potential fraud points, errors, and process lapses. The Internet’s quick accessibility and the widespread adoption of modern technologies and disciplines, such as big data, the Internet of Things, machine learning, and artificial intelligence, have accelerated the need for e-government.
  • 280
  • 07 Aug 2023
Topic Review
Recyclable Products Classification
Effective waste management and recycling are essential for sustainable development and environmental conservation. It is a global issue around the globe and emerging in Saudi Arabia. The traditional approach to waste sorting relies on manual labor, which is both time-consuming, inefficient, and prone to errors.
  • 567
  • 07 Aug 2023
Topic Review
BSafe-360
The popularity of bicycles as a mode of transportation has been steadily increasing. However, concerns about cyclist safety persist due to a need for comprehensive data. This data scarcity hinders accurate assessment of bicycle safety and identification of factors that contribute to the occurrence and severity of bicycle collisions in urban environments. The BSafe-360, a novel multi-sensor device designed as a data acquisition system (DAS) for collecting naturalistic cycling data, which provides a high granularity of cyclist behavior and interactions with other road users.
  • 217
  • 07 Aug 2023
Topic Review
Real-Time Deep Learning-Based Drowsiness Detection
Drowsy driving can significantly affect driving performance and overall road safety. Statistically, the main causes are decreased alertness and attention of the drivers. The combination of deep learning and computer-vision algorithm applications has been proven to be one of the most effective approaches for the detection of drowsiness. Robust and accurate drowsiness detection systems can be developed by leveraging deep learning to learn complex coordinate patterns using visual data. Deep learning algorithms have emerged as powerful techniques for drowsiness detection because of their ability to learn automatically from given inputs and feature extractions from raw data. Eye-blinking-based drowsiness detection was applied, which utilized the analysis of eye-blink patterns.
  • 379
  • 07 Aug 2023
Topic Review
Taxonomy of Integrated Operation Centers
An Integrated Operation Center (IOC) is essential for efficient Smart Governance. An IOC is a centralized platform that integrates data from various sources and uses advanced analytics to provide real-time insights to help users make informed decisions. It acts as the central nervous system by integrating information and processes from various departments/sources to help officials manage and optimize city operations and infrastructure.
  • 737
  • 04 Aug 2023
Topic Review
Representation Learning for Electronic Health Records
An electronic health record (EHR) is a vital high-dimensional part of medical concepts. Discovering implicit correlations in the information of this data set and the research and informative aspects can improve the treatment and management process. The challenge of concern is the data sources’ limitations in finding a stable model to relate medical concepts and use these existing connections.
  • 305
  • 04 Aug 2023
Topic Review
Weakly Supervised and Unsupervised Methods in Plant Segmentation
Plant segmentation is a challenging computer vision task due to plant images complexity. We need to distinguish plant parts rather than the whole plant. The major complication of multi-part segmentation is the absence of well-annotated datasets. It is very time-consuming and expensive to annotate datasets manually on the object parts level.
  • 283
  • 04 Aug 2023
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