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Topic Review
Vehicular Routing and Intelligent Transportation Systems
Urban areas all over the world, from New York's skyscraper-filled skyline to Casablanca's busy streets, have been coping with an exponential surge in vehicle traffic in recent years. This phenomena highlights the larger socioeconomic dynamics influencing current period as well as the world's rising obsession with autos. The effects of this traffic increase are being felt most acutely in emerging powerhouses and developed countries with their advanced industries and economies that are rapidly industrializing and urbanizing. A series of difficulties have arisen as a result of the growth in vehicle traffic. Cities are now frequently congested with traffic, turning once-smooth thoroughfares into figurative parking lots during rush hours. In addition to trying commuters' patience, congestion like this has real-world economic repercussions.  The need for transportation increases logically as cities grow in population with younger citizens. What is particularly alarming, though, is the glaring inconsistency in many urban areas: while the number of automobiles increases, there is a glaring delay in improving road infrastructure and bolstering safety measures. The promise of effortless urban mobility is in danger of becoming an uncontrollable nightmare due to this imbalance.
  • 178
  • 10 Nov 2023
Topic Review
Mental Fatigue Detection Using Physiological Signals
Fatigue is a state characterized by both physical and mental exhaustion, resulting from prolonged activity, inadequate rest, or excessive cognitive demands. Physiological signals offer a valuable insight into the body’s internal state. Monitoring and interpreting these signals provide real-time information about an individual’s physical and mental condition, enabling early fatigue detection. 
  • 214
  • 10 Nov 2023
Topic Review
Brain Tumor Segmentation, Deep Learning and GAN Network
Images of brain tumors may only show up in a small subset of scans, so important details may be missed. Further, because labeling is typically a labor-intensive and time-consuming task, there are typically only a small number of medical imaging datasets available for analysis. 
  • 158
  • 10 Nov 2023
Topic Review
Accurate Measurement of Urban Environments
In the field of urban environment analysis research, image segmentation technology that groups important objects in the urban landscape image in pixel units has been the subject of increased attention.
  • 310
  • 10 Nov 2023
Topic Review
Information-Centric Networks
Information-Centric Networking (ICN) is a new paradigm of network architecture that focuses on content rather than hosts as first-class citizens of the network. As part of these architectures, in-network storage devices are essential to provide end users with close copies of popular content, to reduce latency and improve the overall experience for the user but also to reduce network congestion and load on the content producers.
  • 149
  • 10 Nov 2023
Topic Review
AI-Based Fault Diagnosis of Centrifugal Pump
The fault-related impulses in the centrifugal pump (CP) vibration signal are often attenuated due to the background interference noises, thus affecting the sensitivity of the traditional statistical features towards faults. Furthermore, extracting health-sensitive information from the vibration signal needs human expertise and background knowledge.
  • 170
  • 10 Nov 2023
Topic Review
Urban Scene Reconstruction via Neural Radiance Fields
3D reconstruction of urban scenes is an important research topic in remote sensing. Neural Radiance Fields (NeRFs) offer an efficient solution for both structure recovery and novel view synthesis. The realistic 3D urban models generated by NeRFs have potential future applications in simulation for autonomous driving, as well as in Augmented and Virtual Reality (AR/VR) experiences.
  • 264
  • 10 Nov 2023
Topic Review
NSGA-PINN for Physics-Informed Neural Network Training
Non-dominated sorting genetic algorithm (NSGA)-Physics-informed neural networks (PINNs), a multi-objective optimization framework for the effective training of PINNs. 
  • 167
  • 10 Nov 2023
Topic Review
Continually Improving the Performance of Autonomous Game Agents
Deep Reinforcement Learning (DRL) has been effectively performed in various complex environments, such as playing video games. In many game environments, DeepMind’s baseline Deep Q-Network (DQN) game agents performed at a level comparable to that of humans. However, these DRL models require many experience samples to learn and lack the adaptability to changes in the environment and handling complexity
  • 110
  • 09 Nov 2023
Topic Review
Redactable Blockchain and Its Applications in Medical Field
Electronic Health Records (EHRs) are a relatively new computer technology that can help major medical systems cope with the complex problems of traditional medical records, such as storage and sharing. As blockchain technology evolves, it has become a crucial component in medical data sharing.
  • 191
  • 09 Nov 2023
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