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Ensemble of Two-Path Capsule Networks for Diagnosis of Turner Syndrome Using Global-Local Facial Images
Turner syndrome (TS) is a chromosomal disorder disease that only affects the growth of female patients. Prompt diagnosis is of high significance for...
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Hardware and Software Optimizations for Capsule Networks
Among advanced Deep Neural Network models, Capsule Networks (CapsNets) have shown high learning and generalization capabilities for advanced tasks....
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A Hybrid RF and Vision Aware Fusion Scheme for Multi-Sensor Wireless Capsule Endoscopic Localization
Localization Wireless Capsule Endoscopy (WCE) inside the human small intestine is a hard issue for a decade. This is due to long, curly, and compact...
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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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Cost analysis using hybrid gazelle and seagull optimization for home energy management system
Conventional electricity is more dependable, cost-effective, and robust, but it cannot meet the demands of the modern world. As a result, numerous...
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A Brain Computer Interface Based Patient Observation and Indoor Locating System with Capsule Network Algorithm
Brain Computer Interface (BCI) offers direct communication and controlling channel between the human brain and various physical devices. This paper...
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Assessment and recommendation of neural networks and precise techniques for sentiment systems analysis
Sentiment analysis (SA) is a critical research issue in the realm of emotion. Artificial intelligence (AI) recognizes the polarity of an opinion,...
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One-Shot Identification with Different Neural Network Approaches
Convolutional neural networks (CNNs) have been widely used in the computer vision community, significantly improving the state-of-the-art. But...
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Only Header: a reliable encrypted traffic classification framework without privacy risk
Encrypted traffic classification plays a critical role in network management, providing appropriate Quality-of-Service and Network Intrusion...
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Improving context and syntactic dependency for aspect-based sentiment analysis using a fused graph attention network
Aspect-based sentiment analysis is a hot research issue, which aims to determine the polarity of sentiments in a particular aspect of a review. Some...
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Enhanced Alzheimer’s Disease Classification Using Multilayer Deep Convolutional Neural Network-Based Experimentations
Alzheimer's disease (AD) is an advanced neurological disorder and the main cause of dementia in the elderly. Early detection of AD is critical for...
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Underdetermined blind source separation using CapsNet
In this paper, we consider the problem of separating the speech source signal from the underdetermined convolutive mixture signals using capsule...
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A Convolutional Neural Network-Based Web Prototype to Support COVID-19 Detection Using Chest X-rays
COVID-19 continues to cause health problems to humanity. Some fields of science have conducted research to mitigate and reduce the harmful effects of...
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Enhancing Power Lines Detection Using Deep Learning and Feature-Level Fusion of Infrared and Visible Light Images
The detection of power lines is critical for flight safety, especially for drones and low-flying aircraft. Power line detection models help prevent...
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Brain Tumor Classification Based on Attention Guided Deep Learning Model
Cancer is the second leading cause of death worldwide. Brain tumors count for one out of every four cancer deaths. Providing an accurate and timely...
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Lung Cancer Detection: Classification and Segmentation of CT Images Using 3D CNN
Lung cancer is a condition where malignant unbalanced tumor having uncontrollable growth progresses by invading the nearby healthy cells of lungs and...
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Diabetic Retinopathy Detection Using Deep CNN Architecture and Medical Prescription
One of the complications that occurs to the diabetic patients is diabetic retinopathy. Retinopathy is the abnormal condition of retina which results...
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Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey
Lung cancer represents a significant global health challenge, transcending demographic boundaries of age, gender, and ethnicity. Timely detection...
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A Survey on Image Segmentation for Handwriting Recognition
The machine learning community has helped solve many challenging computer vision-related tasks over the last decades. Many deep learning techniques...