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Topic Review
Types of Dimension Reduction Techniques
Hybridization is the most widely used modification technique for the dimension reduction problem. There are three types of hybridization: integrating a nature-inspired algorithm with another nature-inspired algorithm, integrating a nature-inspired algorithm with a classifier, and integrating a nature-inspired algorithm with filter or extraction techniques.
  • 797
  • 17 Mar 2023
Topic Review
Federated Learning Based on Deep Reinforcement Learning
Federated learning (FL) is a distributed machine learning paradigm that enables a large number of clients to collaboratively train models without sharing data.
  • 797
  • 24 Nov 2023
Topic Review
Federated Learning-Based IoT Big Data Management Approach
Federated Learning (FL) is poised to play an essential role in extending the Internet of Things (IoT) and Big Data ecosystems by enabling entities to harness the computational power of private devices, thus safeguarding user data privacy. Despite its benefits, FL is vulnerable to multiple types of assaults, including label-flipping and covert attacks. The label-flipping attack specifically targets the central model by manipulating its decisions for a specific class, which can result in biased or incorrect results.
  • 796
  • 29 Dec 2023
Topic Review
Artificial Intelligence Course Design Planning Framework
The use of Artificial Intelligence (AI) has become key in numerous domains, emphasizing the need for education in this field. The interdisciplinary nature of AI and its relevance across various sectors call for an integration of AI topics into university curricula. This article introduces the "AI Course Design Planning Framework", a comprehensive tool designed to structure the development of domain-specific AI courses at the university level. The AI Course Design Planning Framework forms a visual and practical tool for instructors and course developers in the higher education or professional education context with a special focus on non-computer science (non-CS) students. It can be used as a means to gather ideas, innovate, plan and communicate ideas for domain-specific AI courses. The framework can be used as a self-contained instrument for individuals, in tandem with AI and domain experts or in a workshop setting with multiple people. Scholars suggest filling it from left to right, first considering the questions on AI in the domain, the learning environment of the course and last, the course implementation.
  • 796
  • 06 Dec 2023
Topic Review
Self-Attention-Based 3D Object Detection for Autonomous Driving
Autonomous vehicles (AVs) play a crucial role in enhancing urban mobility within the context of a smarter and more connected urban environment. Three-dimensional object detection in AVs is an essential task for comprehending the driving environment to contribute to their safe use in urban environments. 
  • 795
  • 27 Oct 2023
Topic Review
Underwater Sensor Networks
The issue of limited energy resources is crucial for underwater wireless sensor networks (UWSNs) because these networks operate in remote and harsh environments where access to power sources is limited. Overcoming the energy constraints is necessary to ensure the long-term functionality and sustainability of UWSN, enabling continuous data collection and communication for various applications such as environmental monitoring and surveillance.
  • 795
  • 21 Aug 2023
Topic Review
Bio-Inspired Anomaly Detection with Cursory Dendritic Cell Algorithm
The autonomous and adaptable identification of anomalies in industrial contexts, particularly in the physical processes of Cyber-Physical Production Systems (CPPS), requires using critical technologies to identify failures correctly. Most of the existing solutions in the anomaly detection research area do not consider such systems’ dynamics. Immune-based models, such as the Dendritic Cell Algorithm (DCA), may provide a rich source of inspiration for detecting anomalies. Cursory Dendritic Cell Algorithm (CDCA), is a novel variation of the Dendritic Cell Algorithm (DCA), developed to be flexible and monitor physical industrial processes continually while detecting anomalies in an online fashion. 
  • 793
  • 14 Feb 2022
Topic Review
Malicious Social Network Messages
The primary methods of communication in the modern world are social networks, which are rife with harmful messages that can injure both psychologically and financially. Most websites do not offer services that automatically delete or send malicious communications back to the sender for correction, or notify the sender of inaccuracies in the content of the messages. The deployment of such systems could make use of techniques for identifying and categorizing harmful messages.
  • 793
  • 19 Sep 2023
Topic Review
Data Mining Techniques for Students’ Performance Predictive Analysis
The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing these methodologies to forecast the academic performance of students, thereby facilitating educators to intervene and furnish suitable assistance when required.
  • 793
  • 22 Dec 2023
Topic Review
Mobile Applications for Disabilities
A“mobile application” or “mobile app” is an application of software; depending on the technologies engaged, it knows how to be a native application, as well as a web or hybrid application. Mobile applications are designed to be employed on intelligent devices or tablets; they can be transferred from a device company’s distribution platform.
  • 792
  • 22 Jun 2021
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.
  • 791
  • 04 Aug 2023
Topic Review
Network Slicing
5G networks have been experiencing challenges in handling the heterogeneity and influx of user requests brought upon by the constant emergence of various services. As such, network slicing is considered one of the critical technologies for improving the performance of 5G networks. This technology has shown great potential for enhancing network scalability and dynamic service provisioning through the effective allocation of network resources. 
  • 790
  • 07 Jul 2022
Topic Review
Single-Image Super-Resolution Neural Network
Single-image super-resolution (SISR) seeks to reconstruct a high-resolution image with the high-frequency information (meaning the details) restored from its low-resolution counterpart.
  • 787
  • 01 Mar 2022
Topic Review
Deep Learning Frameworks and Tools
Deep learning (DL) has been applied successfully in medical imaging such as reconstruction, classification, segmentation, and detection.
  • 787
  • 07 Feb 2024
Topic Review
AI Applications in Plant Genomic Prediction
Artificial intelligence (AI), boosted through deep learning (DL), has achieved significant breakthroughs and is a powerful tool for managing large complex datasets such as crop genetic markers genome and their association with crop phenotypes. AI techniques can be applied to analyze large amounts of genomic data and identify patterns that are difficult for humans to detect. These patterns can then be used to develop more accurate predictive models. 
  • 786
  • 05 May 2023
Topic Review
Machine Learning-Based Anomaly Detection in NFV
Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Moreover, NFV plays a crucial role in sensor and IoT networks by ensuring optimal resource usage and effective network management. 
  • 786
  • 15 Jun 2023
Topic Review
Inpainting Methods
Image inpainting is sometimes called an inverse problem, and usually these types of problems are ill-posed. The problem of inpainting consists in finding the best approximation to fill in the region inside the source image and comparing it with the ground truth. All the algorithms that tackle this problem begin with the assumption that there must be some correlation between the pixels present inside the image, either from a statistical or from a geometrical perspective.
  • 786
  • 20 Feb 2024
Topic Review
Enhanced Traffic Sign Recognition with Ensemble Learning
Traffic sign recognition plays a crucial role in the functioning of autonomous vehicles. The ability to accurately identify and interpret traffic signs is necessary for autonomous vehicles to navigate roads safely and efficiently. Machine learning techniques are used to train and test models on traffic sign data, including prohibitory, danger, mandatory, and other signs.
  • 785
  • 21 Nov 2023
Topic Review
Vision-Based Human Action Recognition Field
Artificial intelligence’s rapid advancement has enabled various applications, including intelligent video surveillance systems, assisted living, and human–computer interaction. These applications often require one core task: video-based human action recognition.
  • 783
  • 23 Apr 2023
Topic Review
Kidney Transplant Care through the Integration of Chatbot
Kidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operational efficiency. 
  • 782
  • 23 Feb 2024
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