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Convolutional Fully-Connected Capsule Network (CFC-CapsNet): A Novel and Fast Capsule Network
A Capsule Network (CapsNet) is a relatively new classifier and one of the possible successors of Convolutional Neural Networks (CNNs). CapsNet...
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Fast Medicinal Leaf Retrieval Using CapsNet
Geometrical feature descriptors that describes the shape of the object are efficiently used for image feature delineation in several image...
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Deep and shallow fast embedded capsule networks: going faster with capsules
Capsule Networks (CapsNets) is a great approach for understanding data in the field of computer vision. CapsNets allow a deeper understanding of...
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EMG-CapsNet: Elu Multiplication Gate Capsule Network for Complex Images Classification
Capsule Network presents a new generation of neural networks in the deep learning field. It shows its potential in image classification by grou**...
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A Novel Model for Detection and Classification Coronavirus (COVID-19) Based on Chest X-Ray Images Using CNN-CapsNet
The coronavirus disease 2019 (COVID-19) first emerged in Wuhan China, and spread across the globe with unprecedented effect. It has became a major...
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XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers for Convolutional Neural Networks
Capsule Network is powerful at defining the positional relationship between features in deep neural networks for visual recognition tasks, but it is...
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Resource-Aware Capsule Network
Capsule Networks (CapsNets) are a generation of image classifiers with proven advantages over Convolutional Neural Networks (CNNs). Better robustness...
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Initial Stage Identification of COVID-19 Using Capsule Networks
Coronavirus is a pandemic that has kept us in great grief for the past few months. These days have created a devastating effect all through the...
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An intelligent deep learning based capsule network model for human detection in indoor surveillance videos
At present times, indoor surveillance becomes a hot research topic among researchers and business sectors. Human detection is one of the vital areas...
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Data filtering and deep learning for enhanced human activity recognition from UWB radars
Human activity recognition (HAR) is among the most popular research topics. Indeed, recognizing human activities can help provide appropriate...
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A tiny deep capsule network
The capsule network (CapsNet) is a novel network model that can learn spatial information in images. However, the performance of CapsNet on complex...
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The Application of 6G and Augmented Reality Technology in Education and Training
The short evolution of 6G and augmented reality (AR) technology heralds a transformative era in education and training, promising to redefine...
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Effective ensembling classification strategy for voice and emotion recognition
Nowadays, Machine learning techniques are found to be unique among the most effective approaches for Voice and Emotion Recognition (VER). Moreover,...
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Arithmetic Optimization Algorithm with Deep Learning-Based Medical X-Ray Image Classification Model
Recently, number of medical X-ray images being generated is increasing rapidly due to the advancements in radiological equipment in medical centres....
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Optimization of CNN in Capsule Networks for Alzheimer’s Disease Prediction Using CT Images
Alzheimer’s disease is a cumulative and irreparable disorder that affects remembrance and some other mental functionality, commonly observed in...
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Health-Care Monitoring for the Brain Tumor Disorder Patients’ by Estimating its Thickness by an Enhanced Capsule Network
The tumor region is the infected portion of the brain that is; present in any area of the human body. The enlargements of the tumor region have to be...
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Masked Face Detection Using Artificial Intelligent Techniques
Nowadays, wearing a face mask is a vital routine in life, but threats are increasing in public due to the advantage of wearing face masks. Existing...
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Intelligent Language Acquisition Model for Online Student Interaction with Educators Using 6G-Cyber Enhanced Wireless Network
Deep learning have created personalized, adaptive, and secure e-learning environments in the ever-changing educational landscape. Privacy, bias, and...
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Military object detection in defense using multi-level capsule networks
Automatic target detection plays a significant role during war operations. The concept behind automatic target detection in war is military object...
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6G-Driven Cyber Physical Supply Chain Model for Supporting E-Commerce Industries
The evolution of e-commerce trade becomes more important also the integration of 6G generation into cyber-physical systems presents the...
