Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort:
Hottest Latest Alphabetical (A-Z) Alphabetical (Z-A)
Type:
All Topic Review Biography
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. 
  • 459
  • 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.
  • 227
  • 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.
  • 278
  • 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.
  • 142
  • 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. 
  • 187
  • 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.
  • 175
  • 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. 
  • 202
  • 11 Sep 2023
Topic Review
Embedded Eye Image Defocus Estimation for Iris Biometrics
One of the main challenges faced by iris recognition systems is to be able to work with people in motion, where the sensor is at an increasing distance (more than 1 m) from the person. The ultimate goal is to make the system less and less intrusive and require less cooperation from the person. When this scenario is implemented using a single static sensor, it will be necessary for the sensor to have a wide field of view and for the system to process a large number of frames per second (fps). In such a scenario, many of the captured eye images will not have adequate quality (contrast or resolution). 
  • 130
  • 11 Sep 2023
Topic Review
Persistence Landscapes for Clustering Noisy IoT Time Series
With the advancement of IoT technologies, there is a large amount of data available from wireless sensor networks (WSN), particularly for studying climate change. Clustering long and noisy time series has become an important research area for analyzing this data.
  • 144
  • 11 Sep 2023
Topic Review
Product Promotion in Internet Market
The influence of Internet marketing has grown so much that producers must now reconfigure their businesses from offline operation to online presence simply to meet user expectations. Thus, the development of an intelligent information system for product promotion online is quite relevant. It may lead to automatized selection of competing products and advertising content, a subsequent increase in the effectiveness of advertisements, and a decrease in costs for Internet ad placements. 
  • 302
  • 08 Sep 2023
  • Page
  • of
  • 365
Featured Entry Collections
>>

Featured Books

>>
Encyclopedia of Social Sciences
Encyclopedia of COVID-19
Encyclopedia of Fungi
Encyclopedia of Digital Society, Industry 5.0 and Smart City
Video Production Service
Feedback