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AR Patterns: Event-Driven Design Patterns in Creating Augmented Reality Experiences
Augmented Reality (AR) and Mixed Reality (MR) enable superimposing digital content onto the real world. These technologies have now matured to a...
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EIMDC: A New Model for Designing Digital Twin Applications
With the development of communications and big data, digital twin as a novel paradigm has been received insentive attentions. However, there are some...
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Using Think-Aloud Protocol in Immersive VR Evaluations
There is a growing research interest concerning the use of VR as a medium in which to stage experimental evaluations. However, it is still unclear...
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Deep learning in drug discovery: an integrative review and future challenges
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of...
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Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation
We present different approaches for including knowledge in data-based modeling. For this, we utilize the model representation of symbolic regression...
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An Ensemble for Attendance Management with Face Visualization and Recognition Using Local Binary Pattern Histogram
Identifying a person and recognizing their individuality has been the most important necessity in any community or organization. So, attendance...
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The Synergetic Effect of Lean Six Sigma and TRIZ on the Improvement of an Electronic Component
Continuous improvement is a constant concern of companies operating in strongly competitive markets. This means to be constantly unsatisfied with the...
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Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
During fetoscopic laser photocoagulation, a treatment for twin-to-twin transfusion syndrome (TTTS), the clinician first identifies abnormal placental...
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Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation
Knowledge Graph (KG) can provide semantic information about items, which can be used to mitigate the sparsity problem in recommendation systems. In...
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Real-time structural damage assessment using LSTM networks: regression and classification approaches
Structural health monitoring(SHM) techniques rarely consider the effect of ambient temperature, even though its impact on the structures being...
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Twin attention based multi-task convolutional bidirectional long short term memory for facial expression recognition
Facial Expression Recognition (FER) aims to detect the emotional state of facial images. It is playing an increasingly important role in several...
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Cross-modality Training Approach for CT Super-resolution Network
In this work, we propose a U-Net-based super-resolution neural network, SRU-Net, to create emulated high spatial resolution (eHR) CT images from low...
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A Telexistence Interface for Remote Control of a Physical Industrial Robot via Data Distribution Service
The increasing adoption of remote working practices and internet-based systems highlights the need for a new mode of interaction and communication...
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Adversarial Attacks on Convolutional Siamese Signature Verification Networks
A handwritten signature serves as an important biometric modality to identify individuals. The state-of-the-art methods for signature verification...
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Artificial Intelligence and Machine Learning in Precision Health
Artificial intelligence refers to any cognitive ability exhibited by a nonhuman agent. The five fundamental components of artificial intelligence are...
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Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes
In the ever-evolving landscape of smart city transportation, effective traffic management remains a critical challenge. To address this, we propose a...
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Industrial digital twins in offshore wind farms
Digital twin technology, aligned with Industry 4.0 standard, has witnessed widespread adoption in various industries, notably in manufacturing....
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Siamese neural networks in recommendation
Recommender systems are widely adopted as an increasing research and development area, since they provide users with diverse and useful information...
