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Topic Review
Gamification System to Motivate Human Resources
In the age of Industry 4.0, competition between companies is becoming increasingly intense, and companies are turning to trends that aim to improve overall performance. Accordingly, the company ITEK decided to create a global gamification mechanism focused on motivating employees and encouraging them to perform their tasks in order to obtain incentives.
  • 158
  • 15 Jan 2024
Topic Review
PC Usage and Concepts of Mathematics and Logic
Early education in new technologies such as robotics and programming is emerging as an option in many primary schools, and its popularity is on the rise. However, currently, there is a significant disparity between areas, schools, and families in access to this type of education. In most cases, resorting to private extracurricular classes is necessary if elementary school students are to acquire these skills. 
  • 509
  • 15 Jan 2024
Topic Review
Sequence-Based Recommendation System
Sequence-based models have various applications in recommendation systems; these models recommend the interested items of the user according to the user’s behavioral sequence. However, sequence-based models have a limitation of length. When the length of the user’s behavioral sequence exceeds the limitation of the model, the model cannot take advantage of the complete behavioral sequence of the user and cannot know the user’s holistic interests. The accuracy of the model then goes down. Meanwhile, sequence-based models only pay attention to the sequential signals of the data but do not pay attention to the spatial signals of the data, which will also affect the model’s accuracy.
  • 246
  • 12 Jan 2024
Topic Review
Design and Development of the Gas Detection Platform
A gas detection platform was constructed using commercial sensors and embedded boards, and experimental data were collected in a hood environment such as used in chemical experiments. Electronic devices and data analysis procedures must be specifically tailored to develop an electronic olfactory system. 
  • 135
  • 12 Jan 2024
Topic Review
Enhanced Cross-Domain Named Entity Recognition
Cross-domain named entity recognition (NER) is a crucial task in various practical applications, particularly when faced with the challenge of limited data availability in target domains. Existing methodologies primarily depend on feature representation or model parameter sharing mechanisms to enable the transfer of entity recognition capabilities across domains. 
  • 116
  • 12 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.
  • 160
  • 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.
  • 239
  • 12 Jan 2024
Topic Review
Cognitive Load Theory and eLearning of Crafts
Craft education and training are important for preserving cultural heritage and fostering artisanal skills. Craft education and training are challenging since they introduce learners to a multifaceted world, where they must acquire skills, knowledge, and appreciation for cultural heritage. Balancing these learning objectives is a cognitive challenge.
  • 186
  • 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.
  • 143
  • 12 Jan 2024
Topic Review
Abnormal Activity Recognition for Visual Surveillance
Due to the ever increasing number of closed circuit television (CCTV) cameras worldwide, it is the need of the hour to automate the screening of video content. Still, the majority of video content is manually screened to detect some anomalous incidence or activity. Automatic abnormal event detection such as theft, burglary, or accidents may be helpful in many situations. However, there are significant difficulties in processing video data acquired by several cameras at a central location, such as bandwidth, latency, large computing resource needs, and so on. 
  • 218
  • 11 Jan 2024
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