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Topic Review
Wind–Solar Hybrid System Modeling
Wind–solar hybrid systems combine solar photovoltaic cells and wind turbines to produce power from both solar and wind energy.
  • 807
  • 31 May 2023
Topic Review
FCAN–XGBoost
Emotion recognition has broad application prospects in fields such as artificial intelligence (AI), intelligent healthcare, remote education, and virtual reality (VR) games. Accurately recognizing human emotions is one of the most urgent issues in the brain–computer interface. FCAN XGBoost is a electroencephalogram (EEG) based emotion recognition model that can quickly and accurately recognize four types of emotions in EEG.
  • 807
  • 05 Sep 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.
  • 807
  • 24 Nov 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.
  • 807
  • 06 Dec 2023
Topic Review
Intelligence Edge Computing
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applications, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. 
  • 805
  • 23 Jun 2021
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.
  • 805
  • 22 Dec 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.
  • 803
  • 04 Aug 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. 
  • 803
  • 27 Oct 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.
  • 803
  • 29 Dec 2023
Topic Review
Fire Detection Based on Deep Learning Approaches
The field of image recognition has witnessed the rise of a particular type of deep neural network (DNN), CNN. Learnable neural networks comprise numerous layers, each of which performs a separate function when extracting or identifying features. Computer vision, a compelling form of AI, is ubiquitous, and is often experienced without us realizing it. Image processing is the area of computer vision and science devoted to imitating elements of the human visual system and enabling computers to discern and process objects in images and videos similarly to humans. Several deep learning (DL) techniques have been effectively applied in various fields of fire and face detection research.
  • 803
  • 02 Jan 2024
Topic Review
Deep Learning Frameworks and Tools
Deep learning (DL) has been applied successfully in medical imaging such as reconstruction, classification, segmentation, and detection.
  • 801
  • 07 Feb 2024
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. 
  • 799
  • 14 Feb 2022
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.
  • 798
  • 22 Jun 2021
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. 
  • 797
  • 15 Jun 2023
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.
  • 797
  • 19 Sep 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.
  • 796
  • 23 Apr 2023
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.
  • 796
  • 21 Nov 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. 
  • 794
  • 07 Jul 2022
Topic Review
Building Footprint Extraction in Very-High-Resolution Remote Sensing Images
With the rapid development of very-high-resolution (VHR) remote-sensing technology, automatic identification and extraction of building footprints are significant for tracking urban development and evolution. Nevertheless, while VHR can more accurately characterize the details of buildings, it also inevitably enhances the background interference and noise information, which degrades the fine-grained detection of building footprints. In order to tackle the above issues, the attention mechanism is intensively exploited to provide a feasible solution. The attention mechanism is a computational intelligence technique inspired by the biological vision system capable of rapidly and automatically catching critical information.
  • 792
  • 27 Nov 2023
Topic Review
Autonomous Navigation of Agricultural Robots
Regarding agricultural harvesting robots, they typically consist of mobile platforms carrying robotic arms. These robots require advanced vision systems, employing adaptive thresholding algorithms, as well as texture-based methods and color shape characteristic extraction, to identify target fruits.
  • 792
  • 23 Jan 2024
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