Search
Search Results
-
Mass Prediction and Analysis of an Object’s Mass from Its Image Using Deep Learning
The world is full of objects with different properties, such as volume, density, mass, material, etc. These properties are crucial for meaningful...
-
Virtual reality exposure effect in acrophobia: psychological and physiological evidence from a single experimental session
In recent years, virtual reality (VR) has gained attention from researchers in diverse fields, particularly in therapy of phobias. Currently, virtual...
-
Towards optimal score level fusion for adaptive multi-biometric authentication system
Multi-biometric authentication systems have been extensively investigated due to their merit over unimodal systems. Multi-biometric systems not only...
-
Advancing automotive high-performance computing: integrating direction API with LORA technology in unified machine vision for future smart cars
This manuscript addresses the challenges in develo** Automotive High-Performance Computing (HPC) systems for Future Smart Cars and Unmanned Mobile...
-
Hierarchical multi-granularity classification based on bidirectional knowledge transfer
Hierarchical multi-granularity classification is the task of classifying objects according to multiple levels or granularities. The class hierarchy...
-
Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
-
Lattice-based ring signcryption scheme for smart healthcare management
Conventional signcryption schemes that depend on discrete logarithm problem, big integer prime factorization, and bilinear pairing are at risk in the...
-
Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach
Efficient virtual machine (VM) placement is vital for optimizing the performance of cloud data centers. While recent studies have addressed this...
-
Privacy-preserving cross-domain recommendation using hybrid federated transfer learning
Cross-domain recommender systems, which serve as a panacea to data sparsity and cold-start problems, are increasingly vital for providing...
-
Vehicle-infrastructure cooperative 3D target detection based on Feature Prediction Atrous Spatial Pyramid Pooling Net
Due to wireless communication delays in actual Vehicle-Infrastructure Cooperation (VIC) data transmission, the misalignment in time and space of the...
-
Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles
Product shape evaluation is an important part of new product development. In the shape design stage, design schemes are often presented through...
-
Skin Lesion Classification via ensemble method on deep learning
Deep neural networks have shown promising results in the classification of skin lesion images, particularly when they focus on the most significant...
-
Information flow control for comparative privacy analyses
The prevalence of web tracking and its key characteristics have been extensively investigated by the research community by means of large-scale web...
-
A quantitative analysis of the security of PoW-based blockchains
This study analyzes the security implications of Proof-of-Work blockchains with respect to the stale block rate and the lack of a block verification...
-
Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks
Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...
-
Dual strategy for single image denoising and generation using deep neural network
Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...
-
A method for recognizing facial expression intensity based on facial muscle variations
Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...
-
Multitask EfficientNet affective computing for student engagement detection
In the realm of education, feedback emerges as a pivotal component, serving to foster engagement and interaction while also facilitating the...
