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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
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
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 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
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...
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Chapter and Conference Paper
Design, Fabrication, and Implementation of a Novel MWCNTs/PDMS Phosphate Sensor for Agricultural Applications
Development of a low-power, low-cost phosphate sensor and sensing system is essential as phosphate helps maintain the natural balance of water and the lives of plants and animals living inside water. This pape...
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Chapter and Conference Paper
Text to Speech Conversion of Handwritten Kannada Words Using Various Machine Learning Models
Recognition of handwritten characters and words is challenging due to the presence of complex character sets and the complexity of the words. The machine learning models with feature extraction methods will he...
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Chapter and Conference Paper
Sentiment Analysis on Tweets Using Emojis to Help the Distressed
In the recent years, many people use social media such as twitter to express distressed emotions. Proofs establish that depressed people utilize Twitter to express their feelings. To provide help to the distre...
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Chapter and Conference Paper
A Hybrid Model for DDoS Attack Detection Using LSTM-RNN
The DDoS attacks are the major security threat to Internet-based systems. The defence systems developed are succeeded in mitigating this to some extent. A DDoS attack detection scheme is proposed by considerin...
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Chapter and Conference Paper
Sarcastic Sentiment Detection and Polarity Classification of Tweets Using Supervised Learning
Nowadays, due to the rapid growth in web technologies and internet usage, there is an enormous amount of data available in WWW and also growing progressively. The data includes online learning, exchanging idea...
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Chapter and Conference Paper
CNN-LSTM-Based Deep Learning Model for Early Detection of Breast Cancer
Breast cancer has been considered as one of the diseases that puts the existence of women at risk worldwide. Diagnosing breast cancer in advance time is very important as it improves the treatment options and ...
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Chapter and Conference Paper
Database Building, Recognition, and Categorization of Handwritten Kannada Words Using Convolution Neural Networks
This work focuses on building the database for handwritten Kannada words and makes it open source as there are no publicly available datasets online. The dataset can be used as a benchmark dataset to evaluate ...
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Chapter and Conference Paper
Comprehensive Survey on Wireless Network on Chips
The key challenge the SoC designers vanquish is on performance and energy consumption. Concerning this, the network on chip (NoC) evolved to accommodate greater numbers of IP cores on a die and empowering conv...
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Chapter and Conference Paper
A Systematic Review of Stability Analysis for Memristor Neural Networks
The stability issues of both continuous and discrete time memristive neural networks have been investigated vastly and numerous publications have been published. This paper intends to provide compendious revie...