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Topic Review
Autonomous Wheelchair Navigation
As automated driving system (ADS) technology is adopted in wheelchairs, clarity on the vehicle’s imminent path becomes essential for both users and pedestrians. For users, understanding the imminent path helps mitigate anxiety and facilitates real-time adjustments. For pedestrians, this insight aids in predicting their next move when near the wheelchair.
  • 94
  • 19 Jan 2024
Topic Review
Enhancing Smart Agriculture Monitoring
The evolution of agriculture towards a modern, intelligent system is crucial for achieving sustainable development and ensuring food security. In this context, leveraging the Internet of Things (IoT) stands as a pivotal strategy to enhance both crop quantity and quality while effectively managing natural resources such as water and fertilizer.
  • 101
  • 19 Jan 2024
Topic Review
Machine Learning-Based for Congenital Heart Disease
Congenital heart disease (CHD) represents a multifaceted medical condition that requires early detection and diagnosis for effective management, given its diverse presentations and subtle symptoms that manifest from birth. IoMT addresses the crucial challenge of timely identification and detection of cardiovascular diseases by utilizing IoMT data, aiming to enhance the accuracy and efficiency of diagnosis, which in turn enables prompt intervention and improves patient outcomes. 
  • 84
  • 16 Jan 2024
Topic Review
Automated Privacy Policy Analysis
Privacy policies are the main method for informing Internet users of how their data are collected and shared. Automated privacy policy analysis, including machine learning methods, has grown in popularity during the last decade. The main goal is to grant users a better understanding of how their data are used and help them make informed decisions regarding their privacy.
  • 104
  • 16 Jan 2024
Topic Review
Combining State-of-the-Art Pre-Trained Deep Learning Models
Skin cancer poses a significant healthcare challenge, requiring precise and prompt diagnosis for effective treatment. While advances in deep learning have dramatically improved medical image analysis, including skin cancer classification, ensemble methods offer a pathway for further enhancing diagnostic accuracy.
  • 78
  • 12 Jan 2024
Topic Review
Cognitive Diagnosis Models
In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students’ mastery of essential skills necessary to answer questions correctly. However, existing DINA-based approaches overlook the dependency between knowledge points, and their model training process is computationally inefficient for large datasets.
  • 140
  • 12 Jan 2024
Topic Review
Dynamic Distributed Intelligence Architecture for Human Activity Recognition
A wide range of applications, including sports and healthcare, use human activity recognition (HAR). The Internet of Things (IoT), using cloud systems, offers enormous resources but produces high delays and huge amounts of traffic. Researchers propose a distributed intelligence and dynamic HAR architecture using smart IoT devices, edge devices, and cloud computing. These systems were used to train models, store results, and process real-time predictions. Wearable sensors and smartphones were deployed on the human body to detect activities from three positions; accelerometer and gyroscope parameters were utilized to recognize activities. A dynamic selection of models was used, depending on the availability of the data and the mobility of the users.
  • 94
  • 12 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.
  • 161
  • 09 Jan 2024
Topic Review
Sustainability in the Textile and Clothing Value Chain
Textile and clothing is one of the most important industrial sectors, not only due to the significant number of jobs generated, but also because it addresses one of the people’s fundamental needs (clothing). It is, however, a sector with a huge global environmental impact, and also an important negative social impact, especially in developing countries. Sustainability in the textile and clothing value chain is a known issue, concerning both environmental and economic-social facets of sustainability. One way to improve sustainability in this sector is by measuring and monitoring the environmental, economic and social impacts of activities along the value chain and, ultimately, computing an environmental and circular score for each batch of textile and clothing product, and an economic and social score for each involved company, reflected in their products. The consumer will then have the opportunity and responsibility for selecting products with the least negative environmental, economic and social impact.
  • 147
  • 05 Jan 2024
Topic Review
Blockchain-Based E-Voting Systems
The employment of blockchain technology in electronic voting (e-voting) systems is attracting significant attention due to its ability to enhance transparency, security, and integrity in digital voting. Blockchain technology has been recognized as a potential solution for secure and transparent e-voting systems. By leveraging the decentralization, immutability, and transparency of blockchain technology, e-voting systems can prevent fraud and manipulation, improve voter anonymity, and increase trust in the electoral process. Moreover, blockchain-based e-voting systems can reduce the cost and time associated with traditional voting systems.
  • 167
  • 03 Jan 2024
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