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Topic Review
Imaging Techniques Used in Fish Bioimages
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in their environment or poor dietary conditions. In aquaculture, skeletal deformities are affecting fish health, and economic losses are incurred by fish farmers. 
  • 161
  • 09 Jan 2024
Topic Review
Satellite-Assisted Disrupted Communications
The space industry has witnessed a resurgence, characterized by a notable proliferation of satellites operating at progressively lower altitudes, promising extensive global coverage and terrestrial-level data transfer speeds, while remaining cost-effective solutions. In particular, Wireless Sensor Networks (WSNs) can benefit from the wide coverage of space infrastructure due to their extensive deployment, disrupted communication nature, and the potential absence of terrestrial support. 
  • 174
  • 09 Jan 2024
Topic Review
Fog Computing in IoT Environments
Large amounts of data are created from sensors in Internet of Things (IoT) services and applications. These data create a challenge in directing these data to the cloud, which needs extreme network bandwidth. Fog computing appears as a modern solution to overcome these challenges, where it can expand the cloud computing model to the boundary of the network, consequently adding a new class of services and applications with high-speed responses compared to the cloud.
  • 167
  • 09 Jan 2024
Topic Review
Enterprise Resource Planning System and Blockchain Functioning Synchronization
Enterprise Resource Planning (ERP) systems are modular software packages with a single database and designed to be used in various environments. In the face of numerous challenges in supply chain management, new technologies are being implemented to overcome obstacles and improve overall performance. Among these technologies, blockchain, a part of the distributed ledger family, offers several advantages when integrated with ERP systems, such as transparency, traceability, and data security.
  • 216
  • 09 Jan 2024
Topic Review
Integrate Technologies for the Teaching and Learning Model
Online, distance, and hybrid study modalities, due to the isolation caused by the pandemic, had an incredible surge. It has been a challenge for higher education institutions to adapt to these changes due to the new educational needs and the digital culture of the new generation of students.
  • 169
  • 09 Jan 2024
Topic Review
Emerging Technologies and Their Acceptance in Higher Education
Emerging technologies (ETs) are characterized as innovative technologies that provide an improvement over other traditional technologies in a specific area. These technologies are not at an adequate level of maturity, because they are still under development.
  • 334
  • 09 Jan 2024
Topic Review
Full-Reference Image Quality Assessment
To improve data transmission efficiency, image compression is a commonly used method with the disadvantage of accompanying image distortion. There are many image restoration (IR) algorithms, and one of the most advanced algorithms is the generative adversarial network (GAN)-based method with a high correlation to the human visual system (HVS). Having a metric to quantify the image quality to the HVS is always a tough task. Image quality assessment (IQA) can be subjective or objective.
  • 228
  • 09 Jan 2024
Topic Review
Food Image Dataset and Segmentation Model
The development of vision-based dietary assessment (VBDA) systems. These systems generally consist of three main stages: food image analysis, portion estimation, and nutrient derivation. The effectiveness of the initial step is highly dependent on the use of accurate segmentation and image recognition models and the availability of high-quality training datasets. Food image segmentation still faces various challenges, and most existing research focuses mainly on Asian and Western food images. 
  • 348
  • 09 Jan 2024
Topic Review
Attack Investigation
Attack investigation is an important research field in forensics analysis. Many existing supervised attack investigation methods rely on well-labeled data for effective training. While the unsupervised approach based on BERT can mitigate the issues, the high degree of similarity between certain real-world attacks and normal behaviors makes it challenging to accurately identify disguised attacks.
  • 95
  • 08 Jan 2024
Topic Review
Single-Agent Reinforcement Learning and Multi-Agent Reinforcement Learning
Flexible job shop scheduling (FJSP) is regarded as an effective measure to deal with the challenge of mass personalized and customized manufacturing in the era of Industry 4.0, and is widely extended to many real applications. Single-Agent Reinforcement Learning (SARL) is the algorithm only contains one agent that makes all the decisions for a control system. Multi-Agent Reinforcement Learning (MARL) is the algorithm comprises multiple agents that interact with the environment through their respective policies.
  • 205
  • 08 Jan 2024
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