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Sign language digits and alphabets recognition by capsule networks
There exist communication barriers between the deaf people and the listeners. Sign language translation is a reasonable and effective way to break...
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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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A capsule-unified framework of deep neural networks for graphical programming
Recently, the growth of deep learning has produced a large number of deep neural networks. How to describe these networks unifiedly is becoming an...
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Deep Learning Methods for Anatomical Landmark Detection in Video Capsule Endoscopy Images
Video capsule endoscope (VCE) is an emerging technology that allows examination of the entire gastrointestinal (GI) tract with minimal invasion....
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Surface Image Analysis: Leveraging Convolutional Neural Network for Contact and Non-contact Imaging Methods
This study aimed to compare the performance of elastomeric contact and non-contact object surfaces in CNN-based classification for pattern...
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A method for real-time mechanical characterisation of microcapsules
Characterising the mechanical properties of flowing microcapsules is important from both fundamental and applied points of view. In the present...
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Diabetes Twitter Classification Using Hybrid GSA
In today’s world, it is important to understand individuals’ health related opinions through sentiment analysis. Recently, many deep learning methods...
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Transfer Learning Approach to Detect and Predict the Malaria from Blood Cell Images
Malaria is a female Anopheles mosquito-borne disease that transmits a motile infective form to the host body such as humans, which reproduce...
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LegalCap: a model for complex case discrimination based on capsule neural network
In recent years, artificial intelligence, especially deep learning techniques, has provided an excellent theoretical and technical basis for the...
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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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Unsteady evolution of distributed roughness-induced vortices under re-entry conditions
This study investigates a re-entry scenario of an Apollo-like space capsule with Direct Numerical Simulations (DNS). The simulation includes the...
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Study of Classification Algorithms for Handwritten Character Recognition
Recognizing handwritten characters automatically has a lot of applications and is not an easy task given the number of ways a character is written by...
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Sensors for Vital Signs: Micro-Ball Wireless Endoscopic Capsules
The advent of wireless capsule endoscopy is a milestone in the development of medical endoscopic tools. This chapter reviews and analyzes the key...
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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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CNN Parameter Adjustment for Brain Tumor Classification
Ho, Toan Pham Hoang, Vinh TruongBeing considered as one of the most prominent and detrimental neurological disorders, diagnosing what category of...
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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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Channel selection and feature extraction on deep EEG classification using metaheuristic and Welch PSD
Brain computer interfaces are important for different application domain such as medical, natural interfaces and entertainment. Besides the...
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Detecting and Classifying Parametric Faults in Analog Circuits Using an Optimized Attention Neural Networks
In analog circuits, the essential variability in component parameters and the various distribution of fault component parameters present challenges...
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A novel hybrid model integrating residual structure and bi-directional long short-term memory network for tool wear monitoring
Tool wear monitoring in machine process is essential for quality assurance, efficiency improvement, and cost reduction. Data-driven methods based on...
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Speech Emotion Classification Using Deep Learning
Over the last several years, the fields of affective computing and human–computer interaction have shown a great deal of interest in the topic of...