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Federated learning for biometric recognition: a survey
Recently, deep learning (DL) has achieved great success in biometric recognition. The application of DL has also led to a high demand for biometric...
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Fire Identification Based on Novel Dense Generative Adversarial Networks
Increasing death rates, damage to properties, and loss of trees can be caused by fires. In Australia and the United States of America, many fire...
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Versatile time-window sliding machine learning techniques for stock market forecasting
The stock market which is a critical instrument in the modern financial system consistently attracts a significant number of individuals and...
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Extra-abdominal trocar and instrument detection for enhanced surgical workflow understanding
PurposeVideo-based intra-abdominal instrument tracking for laparoscopic surgeries is a common research area. However, the tracking can only be done...
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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...
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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...
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Parallel implementation of discrete cosine transform and its inverse for image compression applications
This paper presents the graphics processing unit (GPU) implementation of two-dimensional discrete cosine transform (2D DCT) and inverse discrete...
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Secure query processing for smart grid data using searchable symmetric encryption
In the last decade, the smart grid has utilized many modern technologies and applications compared with the conventional grid. Cloud computing offers...
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3D-Scene-Former: 3D scene generation from a single RGB image using Transformers
3D scene generation requires complex hardware setups, such as multiple cameras and depth sensors. To address this challenge, there is a need for...
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Exploiting beam search confidence for energy-efficient speech recognition
With mobile and embedded devices getting more integrated in our daily lives, the focus is increasingly shifting toward human-friendly interfaces,...
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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...
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Conscious points and patterns extraction: a high-performance computing model for knowledge discovery in cognitive IoT
Incorporating cognition into the design and architecture of the Internet of Things (IoT) has recently been the subject of much research, giving rise...
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Deep source transfer learning for the estimation of internal brain dynamics using scalp EEG
Electroencephalography (EEG) provides high temporal resolution neural data for brain-computer interfacing via noninvasive electrophysiological...
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Guiding the way: a comprehensive examination of AI guidelines in global media
With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines...
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Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
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A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images
PurposeDifferentiating pulmonary lymphoma from lung infections using CT images is challenging. Existing deep neural network-based lung CT...
