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Topic Review
D2D-Assisted Caching-Enhanced MEC System
In the era of intelligent applications, Mobile Edge Computing (MEC) is emerging as a promising technology that provides abundant resources for mobile devices. However, establishing a direct connection to the MEC server is not always feasible for certain devices. The system leverages idle helper devices to execute and offload tasks to the MEC server, thereby enhancing resource utilization and reducing offload time. To further minimize offloading time for latency-sensitive tasks, this research incorporates edge caching.
  • 242
  • 10 Aug 2023
Topic Review
Deep Learning in Hyperspectral Imagery
Deep learning algorithms used for hyperspectral image analysis and processing include artificial neural networks (ANNs), convolutional neural networks (CNNs), Auto-encoder decoders (AEDs), and stacked auto-encoders (SAE). Hyperspectral imagery (HSI) is used because of its characteristic of containing both spectral and spatial information at the pixel level. 
  • 526
  • 10 Aug 2023
Topic Review
Robot-Assisted Therapy for Autistic Children
Children with autism face a range of challenges when it comes to verbal and nonverbal communication. It is essential that children participate in a variety of social, educational, and therapeutic activities to acquire knowledge that is essential for cognitive and social development. The robot can engage these children in ways that demonstrate and train essential aspects of human interaction, guiding them in therapeutic sessions to practice more complex forms of interaction found in social human-to-human interactions.
  • 170
  • 09 Aug 2023
Topic Review
Metaheuristic Approach for University Course Timetabling Problems
The university course timetabling problem (UCTP) is a multidimensional assignment problem that involves assigning students and teachers to events (or courses), which are then allocated to appropriate timeslots and rooms. The UCTP can be categorized into two categories: post-enrollment-based course timetabling problems (PE-CTPs) and curriculum-based course timetabling problems (CB-CTPs). 
  • 246
  • 09 Aug 2023
Topic Review
Types of Breast Cancer Imaging
Cancer is an incurable disease based on unregulated cell division. Breast cancer is the most prevalent cancer in women worldwide, and early detection can lower death rates. Medical images can be used to find important information for locating and diagnosing breast cancer. The best information for identifying and diagnosing breast cancer comes from medical pictures.
  • 264
  • 09 Aug 2023
Topic Review
IIoT and Privacy-Preserving Architectures
Unlike traditional industrial systems that operate in isolation or with limited connectivity, IIoT systems enable seamless communication between devices and systems, both within a single industrial facility and across multiple sites or locations. This interconnectedness allows for the exchange of data and information, facilitating the integration of operational technology (OT) with information technology (IT) systems.
  • 359
  • 08 Aug 2023
Topic Review
Detecting Dementia from Face-Related Features
Alzheimer’s disease (AD) is a type of dementia that is more likely to occur as people age. It currently has no known cure. As the world’s population is aging quickly, early screening for AD has become increasingly important. Traditional screening methods such as brain scans or psychiatric tests are stressful and costly. The patients are likely to feel reluctant to such screenings and fail to receive timely intervention. While researchers have been exploring the use of language in dementia detection, less attention has been given to face-related features.
  • 456
  • 08 Aug 2023
Topic Review
The Detection of Lanes and Lane Markings
Vision-based identification of lane area and lane marking on the road is an indispensable function for intelligent driving vehicles, especially for localization, mapping and planning tasks. However, due to the increasing complexity of traffic scenes, such as occlusion and discontinuity, detecting lanes and lane markings from an image captured by a monocular camera becomes persistently challenging. The lanes and lane markings have a strong position correlation and are constrained by a spatial geometry prior to the driving scene. Most existing studies only explore a single task, i.e., either lane marking or lane detection, and do not consider the inherent connection or exploit the modeling of this kind of relationship between both elements to improve the detection performance of both tasks.
  • 205
  • 08 Aug 2023
Topic Review
Cell-Type Annotation
Multicellular organisms consist of cells that can be categorized by their function and morphology. Single-cell transcriptomics makes it possible to individually profile thousands of cells in multiple tissues and organisms within a single experiment. Determining and labeling cell types or states in single cell transcriptomic data is known as cell-type annotation or identification. Several methods are employed for cell-type annotation, including signature scoring, supervised learning, cell-integration-based label transfer, and semi-supervised annotation. Considering the lineage relationships among cell types, hierarchical classification methods are crucial for accurately identifying cell types and subtypes at an optimal clustering resolution. The use of well-curated reference datasets, implementation of quality control measures, and careful consideration of cluster resolutions heavily influence the reliability of cell-type annotation. The aim of cell-type annotation is to gain insights into cell heterogeneity in various biological processes and diseases, with the potential to drive improvements in therapeutic interventions.
  • 508
  • 08 Aug 2023
Topic Review
Automation in Interior Space Planning
In interior space planning, the furnishing stage usually entails manual iterative processes, including meeting design objectives, incorporating professional input, and optimizing design performance. Machine learning has the potential to automate and improve interior design processes while maintaining creativity and quality.
  • 323
  • 08 Aug 2023
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