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Chapter and Conference Paper
Smart Dam Control: Embedded Systems and LSTM-Based Water Level Prediction
Monitoring and controlling water levels in dams in real-time is crucial for safety and stability. We present a low-cost and scalable prototype for dam water level monitoring and control, employing an ESP8266 m...
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Chapter and Conference Paper
EEG-Based Sleep Stage Classification System
One of the most important concerns in everyday life is sleep difficulties. Many physiological diseases are caused due to less sleep or more stress. The phases of sleep that the brain experiences while slee**...
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Chapter and Conference Paper
Comparative Analysis and Evaluation of Pothole Detection Algorithms
Potholes are one of the biggest reasons of menace on the streets. They fill up after rains with water and become hard to detect and anyone do not know how deep they go. Lots of people get into accidents becaus...
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Chapter and Conference Paper
A Survey on Efficient Neural Network Compression Techniques
We have seen substantial advancements in the performance and accuracy of neural networks (NNs)-based models for a wide range of issues over the last decade. Highly over-parameterized models are frequently used...
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Chapter and Conference Paper
Crop-Weed Detection, Depth Estimation and Disease Diagnosis Using YOLO and Darknet for Agribot: A Precision Farming Robot
Precision agriculture depends on technology and data to maximise crop yields and lower production costs. Precise identification of weeds in crop fields reduces the risk of crop damage and optimises herbicide u...
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Chapter and Conference Paper
Identification of Social Accounts’ Responses Using Machine Learning Techniques
Twitter bots, or “zombies,” are automated Twitter accounts run by bot software. Bots carry out tasks like sending tweets, following other users in bulk, and tweeting and retweeting material on a vast scale to ...
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Chapter and Conference Paper
Colorization of Grayscale Images: An Overview
The problem of image colorization is a well-known and important topic for different reasons in the field of image processing. From statistical models using feed-forward neural network, to using convolutional n...
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Chapter and Conference Paper
Environment Map** Using Ultrasonic Sensor for Obstacle Detection and Navigation
One of the most sobering elements of giving intelligence to inanimate objects is seeing how much of our capacity to receive, orient, and interpret information we take for granted as humans. Intelligent robots ...
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Chapter and Conference Paper
FlameGuard: A Smart System for Forest Fire Detection and Control
Forest fires pose a huge environmental risk, wreaking havoc on ecosystems and human life. Forest fires must be detected and extinguished as soon as possible to have the least amount of harm. This study present...
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Chapter and Conference Paper
A Review on Data Acquisition Devices and Algorithms for 3D Map**
In this review, we discuss the map** and localization problem being one of the most challenging tasks in the field of autonomous robots. We discuss one of the most popular localization and map** problems, ...
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Chapter and Conference Paper
A Novel Remote Sensing Image Captioning Architecture for Resource Constrained Systems
Machine learning, specifically deep learning, has proven to be successful in many aspects along with groundbreaking results in various fields. One such area where the applications of Deep Learning are yet to s...
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Chapter and Conference Paper
An Ensemble for Satellite Image to Map Layout Translation
Map** and updating maps tend to be a tedious and arduous job requiring human supervision. Accurate and up-to-date maps are necessary for the proper functioning of mobility services, urban planning, navigatio...
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Chapter and Conference Paper
Automated Wave Height Measurement and Analysis Through Image Processing: A Computer Vision Approach for Oceanography
Wave height is an important parameter in ocean and coastal engineering. It is used to design coastal structures, such as breakwaters and seawalls and to predict the impact of waves on coastal areas, such as er...
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Chapter and Conference Paper
Comparison of Image Blending Using Cycle GAN and Traditional Approach
GANs are a very interesting emerging domain. Implementation of the Neural style transfer technique can be done using particular types of these GANs. In this technique, a particular art style is superimposed ov...
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Chapter and Conference Paper
Conversion of Satellite Images to Google Maps Using GAN
Automatically generating maps from satellite images is an important task. As a lot of applications like Navigation services significantly rely on up-to-date and accurate maps. Conventional map generation invol...
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Chapter and Conference Paper
Agricultural Field Analysis Using Satellite Hyperspectral Data and Autoencoder
In this paper, we have proposed a novel clustering-based approach for the prediction of the quality index of agricultural land. This paper aims to develop a system that can predict the quality index of the lan...
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Chapter and Conference Paper
Automating Scorecard and Commentary Based on Umpire Gesture Recognition
Cricket is the most played sport in the Indian subcontinent. While the sport enjoys abundant financial and human resources at the highest levels, the lower levels lack these resources which creates a resource ...
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Chapter and Conference Paper
Prediction of the Most Productive Crop in a Geographical Area Using Machine Learning
Agriculture has a direct correlation with the development of the country. Although it is the backbone of the country, people are baffled in deciding which crop to plant and about the right time to plant it for...
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Chapter and Conference Paper
Computer Vision-Based Wheat Grading and Breed Classification System: A Design Approach
In terms of the world’s total production of food grains, wheat is the most important and highly productive cereal grain. It is a highly cultivated crop in India as well as in other countries of the world. One ...
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Chapter and Conference Paper
Statistical Model for Qualitative Grading of Milled Rice
Rice is a principal dietary component for most of the world’s population and comprises many breeds and qualities. Qualitative grading of rice is essential to determine its cost. This grading process is current...
