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Topic Review
Authentication Methods for Mobile Device Users
With the advent of smart mobile devices, end users get used to transmitting and storing their individual privacy in them, which, however, has aroused prominent security concerns inevitably. Numerous researchers have primarily proposed to utilize motion sensors to explore implicit authentication techniques. 
  • 268
  • 14 Sep 2023
Topic Review
Standardization of Post-Quantum Cryptography
Information security is a fundamental and urgent issue in the digital transformation era. Cryptographic techniques and digital signatures have been applied to protect and authenticate relevant information. However, with the advent of quantum computers and quantum algorithms, classical cryptographic techniques have been in danger of collapsing because quantum computers can solve complex problems in polynomial time. Stemming from that risk, researchers worldwide have stepped up research on post-quantum algorithms to resist attack by quantum computers.
  • 313
  • 14 Sep 2023
Topic Review
Obstacle Detection and Mapping in Vehicle-to-Vehicle Networks
Vehicle-to-Vehicle (V2V) networks, specifically Vehicular Ad Hoc Networks (VANETs), are central to enhancing road safety by improving vehicle visibility, particularly when traditional onboard sensors fall short. The crucial role that VANETs play in modern transportation systems is increasingly being recognized, with the ability to facilitate real-time communication between vehicles, improving situational awareness, and thereby enhancing road safety. However, the accuracy, integrity and security of these data are of paramount importance, as any inaccuracies or compromises could lead to incorrect hazard perception and possibly catastrophic consequences. Hence, substantial effort is required to maintain these data characteristics while enabling efficient and rapid data exchange.
  • 206
  • 13 Sep 2023
Topic Review
Approaches for Flow-Shop Scheduling Problems
Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan. Because of the high complexity and intractability of the problem, apart from some exceptional cases, there are no explicit algorithms for finding the optimal permutation in multi-machine environments. 
  • 483
  • 13 Sep 2023
Topic Review
Personalized Advertising Design Based on Individual’s Appearance
Market segmentation is a crucial marketing strategy that involves identifying and defining distinct groups of buyers to target a company’s marketing efforts effectively. Visual elements, such as color and shape, in advertising can effectively communicate the product or service being promoted and influence consumer perceptions of its quality. Similarly, a person’s outward appearance plays a pivotal role in nonverbal communication, significantly impacting human social interactions and providing insights into individuals’ emotional states.
  • 237
  • 13 Sep 2023
Topic Review
Generative Attentional Networks for Image-to-Image Translation: Progressive U-GAT-IT
Unsupervised image-to-image translation has received considerable attention due to the recent remarkable advancements in generative adversarial networks (GANs). In image-to-image translation, state-of-the-art methods use unpaired image data to learn mappings between the source and target domains. However, despite their promising results, existing approaches often fail in challenging conditions, particularly when images have various target instances and a translation task involves significant transitions in shape and visual artifacts when translating low-level information rather than high-level semantics. To tackle the problem, a novel framework called Progressive Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization (PRO-U-GAT-IT) for the unsupervised image-to-image translation task was proposed. In contrast to existing attention-based models that fail to handle geometric transitions between the source and target domains, the model can translate images requiring extensive and holistic changes in shape. Experimental results show the superiority of the proposed approach compared to the existing state-of-the-art models on different datasets.
  • 317
  • 12 Sep 2023
Topic Review
Multimodal Approach for Pilot Mental State Detection
The safety of flight operations depends on the cognitive abilities of pilots. The process of identifying mental states typically involves four steps: collecting data, cleaning it, selecting relevant features, and making predictions. The first step involves capturing signals from the brain and converting them into digital form. Then, to ensure accurate analysis, any extraneous noise or artifacts present in the data are removed through preprocessing. Next, specific characteristics of the data are selected and extracted in preparation for classification. These extracted features are then used by a classifier to make predictions about which class the data belongs to. As this process specifically relates to electrocardiogram (ECG) data, the following provides a summary of previous research on the three stages of mental state detection: preprocessing, feature extraction, and classification.
  • 158
  • 12 Sep 2023
Topic Review
Integrate Artificial Intelligence into Teaching
Artificial intelligence (AI) is no longer science fiction. It is so close to our daily life that there is even existing legislation and norming like in an ISO standard. But despite these developments, AI has barely entered the consciousness of ordinary users of IT. In an academic context, the importance of AI is well recognized and there are notable efforts to integrate AI into teaching and development of teaching, for example, in curricular development or even to pass an exam. 
  • 193
  • 11 Sep 2023
Topic Review
Cardiac Magnetic Resonance Imaging Applications in Chest Pain
CMRI is the exclusive imaging technique capable of identifying myocardial edema, endomyocardial fibrosis, pericarditis accompanied by pericardial effusions, and apical thrombi within either the left or right ventricle.
  • 190
  • 11 Sep 2023
Topic Review
History and the Importance of Dashcams
Vehicular cyber–physical systems (VCPS) include subsystems of different software and hardware that intelligently cooperate to enhance mobility, safety and entertainment. A dashboard camera (dashcam) is a part of VCPS and is becoming an important in-vehicle accessory for recording audio and visual footage of journeys. In fact, the use of dashcams is increasing rapidly, and the number of dashcams with data, such as GPS coordinates, speed and time, is increasing in the market. Dashcams generate several artifacts of evidential value, such as vehicular speed, GPS data, audio, video, text data, objects and static images. 
  • 217
  • 11 Sep 2023
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