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Topic Review
Biography
Topic Review
Occluded Face Recognition
Occlusion in facial photos poses a significant challenge for machine detection and recognition. Consequently, occluded face recognition for camera-captured images has emerged as a prominent and widely discussed topic in computer vision. The standard face recognition methods have achieved remarkable performance in unoccluded face recognition but performed poorly when directly applied to occluded face datasets. The main reason lies in the absence of identity cues caused by occlusions. Therefore, a direct idea of recovering the occluded areas through an inpainting model has been proposed.
107
26 Jan 2024
Topic Review
Graph Clustering Algorithms
Graph clustering has received considerable attention, and its applications are numerous, ranging from the detection of social communities to the clustering of computer networks. It is classified as an NP-class problem, and several algorithms have been proposed with specific objectives. There also exist various quality metrics for evaluating them. Having clusters with the required density can be beneficial because it permits the effective deployment of resources.
111
26 Jan 2024
Topic Review
Visiting Heritage Sites in AR and VR
Advances in digitization technologies have made possible the digitization of entire archaeological sites through a combination of technologies, including aerial photogrammetry, terrestrial photogrammetry, and terrestrial laser scanning. At the same time, the evolution of computer algorithms for data processing and the increased processing power made possible the combination of data from multiple scans to create a synthetic representation of large-scale sites. This route was opened by the gaming industry. In terms of research, the exploitation of these new assets in conjunction with new visual rendering technologies, such as virtual and augmented reality, can create new dimensions for education and leisure.
108
25 Jan 2024
Topic Review
Serious Games and LEGO Serious Play for Scrum
As evidenced by recent literature reviews, virtual reality is being widely used for educational purposes in many knowledge fields and industrial sectors because this technology contributes to improve knowledge acquisition and skills development, engages and motivates learners, and enhances the whole learning experience.
202
25 Jan 2024
Topic Review
Speech Emotion Recognition
Speech is the most natural way of human communication. Affective computing systems based on speech play an important role in promoting human–computer interaction, and emotion recognition is the first step. Due to the lack of a precise definition of emotion and the inclusive and complex influence of emotion generation and expression, accurately recognizing speech emotions is still difficult. Speech emotion recognition (SER) is an important problem that is receiving increasing interest from researchers due to its numerous applications, such as e-learning, clinical trials, audio monitoring/surveillance, lie detection, entertainment, video games, and call centers.
127
25 Jan 2024
Topic Review
GAN-Based Tabular Data Generator for Constructing Synopsis
In data-driven systems, data exploration is imperative for making real-time decisions. However, big data are stored in massive databases that are difficult to retrieve. Approximate Query Processing (AQP) is a technique for providing approximate answers to aggregate queries based on a summary of the data (synopsis) that closely replicates the behavior of the actual data. The use of Generative Adversarial Networks (GANs) for generating tabular data has emerged as a pivotal method in AQP for constructing accurate synopses. Moreover, the advancement of tabular GAN architectures addresses the specific challenges encountered in synopsis construction. These advanced GAN variations exhibit a promising capacity to generate high-fidelity synopses, potentially transforming the efficiency and effectiveness of AQP in data-driven systems.
128
25 Jan 2024
Topic Review
Enhancing Cloud-Based Security
Developing a simple and efficient attack detection system for ensuring the security of cloud systems against cyberthreats is a crucial and demanding process in the present time. In traditional work, various machine-learning-based detection methodologies have been developed for securing the cloud network.
103
25 Jan 2024
Topic Review
NLP- and API-Sequence-Based Malware Detection and Classification Methodologies
The surge in malware threats propelled by the rapid evolution of the internet and smart device technology necessitates effective automatic malware classification for robust system security.
214
24 Jan 2024
Topic Review
LiDAR Point Clouds Semantic Segmentation in Autonomous Driving
Although semantic segmentation of 2D images is crucial to attaining scene understanding, there are still some limitations to visual sensors, such as the inefficiency of acquiring information under insufficient light, lack of depth information and limited field of view. In contrast, LiDAR can obtain accurate depth information with higher density and wider viewing field regardless of lighting conditions, which makes it a more reliable source of information for environmental perception.
160
24 Jan 2024
Topic Review
Convolutional Neural Networks Applied to Face Mask Classification
The preventive measures taken to curb the spread of COVID-19 have emphasized the importance of wearing face masks to prevent potential infection with serious diseases during daily activities or for medical professionals working in hospitals. Due to the mandatory use of face masks, various methods employing artificial intelligence and deep learning have emerged to detect whether individuals are wearing masks.
104
24 Jan 2024
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