127 Result(s)
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Chapter and Conference Paper
Parametric Comparison of Deep Learning Models for Musculoskeletal Abnormality Detection
Musculoskeletal disorders are conditions that affect joints, bones, muscles, and the spine. The authors of this paper aim to investigate the use of artificial intelligence (AI), particularly deep learning, to ...
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Chapter and Conference Paper
A Tablet-Based Lexicon Application for Robot-Aided Educational Interaction of Children with Dyslexia
Dyslexia is a neurodevelopmental disorder that has the highest prevalence among different types of learning disorders. Dyslexic children usually have difficulty in reading and as a result, they face different ...
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Chapter and Conference Paper
Virtual Reality Serious Game with the TABAN Robot Avatar for Educational Rehabilitation of Dyslexic Children
Emerging technologies such as social robotics and virtual reality have found a wide application in the field of education and tutoring particularly for children with special needs. Taban is a novel social robo...
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Chapter and Conference Paper
BGKnow-Medical Chatbot: A Hybrid Approach Based on Knowledge Graph and GPT-2
Accurate and timely diagnosis is critical in ensuring patients receive care and treatment for their medical conditions. Traditional symptom checkers often lack accuracy and efficiency in diagnosing diseases, a...
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Chapter and Conference Paper
Detection of Food Freshness
Our daily lives depend greatly on the food we eat. Globalization is causing a daily decline in food quality. To store food fresh, diverse food processing is often done. Food is given a variety of substances or...
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Chapter and Conference Paper
Impact of Artificial Intelligence Tools and Text-to-3D Model Generators on Interior Design
The advent of Artificial Intelligence (AI) tools in the present world is significantly impacting the field of interior design and architecture. This is due to the use of AI tools in 3D modelling and design, th...
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Chapter and Conference Paper
A Comparative Analysis on Various Modified Deep Convolution Neural Networks on Maize Plant Leaf Disease Classification
Early detection of crop diseases is an art to prevent further loss in the yield. It not only prevents further spread but also increases the revenue for the farmers. Leaf is a major part of any plant and its go...
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Chapter and Conference Paper
A Secure Multi-tier Framework for Healthcare Application Using Blockchain and IPFS
Information technology advancement and the requirements in health care are to provide a variety of solutions to solve different problems. The better utilization of the technological advances of cloud computing...
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Chapter and Conference Paper
Stacked LSTM Model for Shakespeare Style Poem Generation
Natural Language Generation has gained immense popularity in the field of Natural Language Processing. The use of deep learning algorithms for text generation has various applications across domains. One such ...
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Chapter and Conference Paper
Internet of Robotic Things: Issues and Challenges in the Era of Industry 4.0
IoT is growing at a fast pace, and billions of devices are now associated with the amount expected to reach trillions in the coming years. The Internet of things and the individual systems participate closely ...
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Chapter
Advanced Mathematical Model to Measure the Severity of Any Pandemics
Mathematical models are a must to better understand data and its possible consequences. For COVID-19 outbreak, it helps to predict, and therefore, policies and guidelines can be designed accordingly. In this s...
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Chapter and Conference Paper
A Study on Prediction of Temperature in Metropolitan Cities Using Machine Learning
A city location or any metropolitan location is much hotter than the rural areas due to environmental changes and human activities. The surface temperature which is derived from other effecting parameter has b...
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Chapter and Conference Paper
RePI: Research Paper Impact Analysis
The purpose of this study is to analyze the impact a Research Paper has on other Research Papers which cite it. It can be used by students and researchers to understand a domain and the reach of their work. Th...
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Chapter and Conference Paper
A Library and Web Platform for RoboCup Soccer Matches Data Analysis
An important part of ensuring continuous development and betterment of performance of a robot soccer team is the process of analyzing past matches and generating insights about possible causes for good or bad ...
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Chapter and Conference Paper
Unified Power Quality Conditioner for V-V Connected Electrified Railway Traction Power Supply System
AC traction load is generally a large single-phase load with dynamic characteristics due to which a significant negative sequence component of current (NSC) is drawn from the grid and harmonics are injected in...
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Chapter and Conference Paper
Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age Biomarkers?
Brain age prediction using neuroimaging data has shown great potential as an indicator of overall brain health and successful aging, as well as a disease biomarker. Deep learning models have been established a...
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Chapter and Conference Paper
Natural Language Inference on Imbalanced Datasets
Reasoning ability along with the skill of arriving at logical inferences is central to artificial intelligence and a key requirement to get one step closer toward natural language understanding. Once such task...
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Chapter and Conference Paper
Evaluating the Performance of Machine Learning Algorithms for Sentiment Prediction on Social Media Natural Language Text Data
As social networks are evolving these days, sentiment analysis and opinion mining are growing areas of study. People’s usage of social networks has paved the way for analyzing the content and studying people’s...
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Chapter and Conference Paper
Diagnosis of Charging Gun Actuator in the Electric Vehicle (EV)
There has been a substantial increase in the number of electric vehicles (EVs), due to an increase in pollution to the environment. Electric vehicles neither emit tailpipe pollutants CO2 nor nitrogen dioxide, alt...
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Chapter and Conference Paper
The Role of Artificial Neural Network in Word Sense Disambiguation (WSD)—A Survey
The chore of reducing ambiguity in distinct sense of words is known as word sense disambiguation (WSD). It’s a key area of research in computational linguistics to deal with the senses being assigned automatic...
