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Topic Review
Biography
Topic Review
Machine Learning-Based Facial Palsy Detection and Evaluation
Automated solutions for medical diagnosis based on computer vision form an emerging field of science aiming to enhance diagnosis and early disease detection. The detection and quantification of facial asymmetries enable facial palsy evaluation. Deep learning methods allow the automatic learning of discriminative deep facial features, leading to comparatively higher performance accuracies.
230
22 Jan 2024
Topic Review
Federated Learning for Intrusion Detection Systems in IoV
The Internet of Vehicles (IoV) has garnered significant attention from researchers and automotive industry professionals due to its expanding range of applications and services aimed at enhancing road safety and driver/passenger comfort. However, the massive amount of data spread across this network makes securing it challenging. The IoV network generates, collects, and processes vast amounts of valuable and sensitive data that intruders can manipulate. An intrusion detection system (IDS) is the most typical method to protect such networks. An IDS monitors activity on the road to detect any sign of a security threat and generates an alert if a security anomaly is detected. Federated Learning (FL) is a decentralized machine learning technique, FL allows model training on client devices while maintaining user data privacy.
134
22 Jan 2024
Topic Review
Anomaly Detection in Video Surveillance
The escalating use of security cameras has resulted in a surge in images requiring analysis, a task hindered by the inefficiency and error-prone nature of manual monitoring. Research on anomaly detection in CCTV videos is being actively conducted using various techniques.
119
22 Jan 2024
Topic Review
Vibrotactile Feedback in Virtual Reality
While substantial progress in computer graphics and sound rendering has resulted in highly realistic visual and auditory experiences in virtual reality (VR), achieving genuine immersion, interactivity, and the stimulation of imagination necessitates the integration of realistic tactile experiences, often facilitated through haptic feedback. The incorporation of vibrotactile feedback in VR allows users to fully engage their sense of touch, enabling them to explore, grasp, and manipulate virtual objects as if they were interacting with them in the physical world.
551
22 Jan 2024
Topic Review
Automatic Visual Pollution Detection
Visual pollution, characterized by disorderly and displeasing urban environments, is inherently subjective and challenging to quantify precisely. In recent years, substantial research efforts have been initiated to identify and categorize various forms of visual pollution by applying artificial intelligence and computer vision techniques. The automated recognition of visual disturbances using advanced deep learning methods can aid governmental bodies and relevant authorities in taking proactive measures.
178
19 Jan 2024
Topic Review
Path Planning Technique for Mobile Robots
Mobile robot path planning involves designing optimal routes from starting points to destinations within specific environmental conditions. Even though there are well-established autonomous navigation solutions, it is worth noting that comprehensive, systematically differentiated examinations of the critical technologies underpinning both single-robot and multi-robot path planning are notably scarce. These technologies encompass aspects such as environmental modeling, criteria for evaluating path quality, the techniques employed in path planning and so on.
481
19 Jan 2024
Topic Review
Deep Learning in Neuro-Oncology Data Analysis
Machine Learning is entering a phase of maturity, but its medical applications still lag behind in terms of practical use. The field of oncological radiology (and neuro-oncology in particular) is at the forefront of these developments, now boosted by the success of Deep-Learning methods for the analysis of medical images.
118
19 Jan 2024
Topic Review
Privacy-Protection Regulations and Frameworks for Organisational Data Sharing
Industry approaches, such as privacy frameworks, provide essential guidelines and best practices for privacy preservation and risk management, focusing on information, standardisation, and privacy risk identification. These frameworks not only align with privacy regulations but also offer technical advice to help organisations protect personal data effectively. It is important to acknowledge there are many other privacy regulations and privacy frameworks; however, privacy regulations such as the General Data Protection Regulation (GDPR) are mandatory, and organisations have a legal obligation to comply with the laws. Nevertheless, privacy frameworks are voluntary tools available for organisations.
92
19 Jan 2024
Topic Review
Addressing ZSM Security Issues with Blockchain Technology
Undoubtedly, we are witnessing a new era of computer networks that aspire to support modern demanding applications by providing the highest Quality of Experience (QoE) to the end user. Next Generations Networks (NGNs) ensure that characteristics such as ultra-low latency, high availability and wide service coverage can be met across the network regardless of the network infrastructure ownership. Blockchain technology inherently addresses security in trustless environments such as the infrastructures defined by the Zero-touch Service Management (ZSM) team.
198
19 Jan 2024
Topic Review
Intelligent Healthcare System for Predicting Cardiac Diseases
Cardiovascular diseases (CVD) are amongst the leading causes of death worldwide. Modern medical milestones are represented by 5G systems, internet services, artificial intelligence (AI), microelectronics, big data, cloud computing (CC), and smart bioengineering. These techniques are employed at every stage of sophisticated medicine. The Internet of Things (IoT)’, given its capacity to assist in solving diverse health-related problems in a highly efficient manner, has attracted the attention of scientists desirous of contributing to this domain.
162
19 Jan 2024
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