10 Result(s)
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Ngangbam Herojit Singh
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Article
Diagnosis and multi-classification of lung diseases in CXR images using optimized deep convolutional neural network
A deep learning (DL) architecture is proposed in this study for the multi-class classification of COVID-19, lung opacity, lung cancer, tuberculosis (TB), and pneumonia. There are two distinct models, namely Cl...
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Article
Classification of unsegmented phonocardiogram signal using scalogram and deep learning
In many parts of the globe, heart disease or cardiovascular disease is a leading cause of mortality. It is a group of conditions that includes heart failure and other cardiac problems. In the USA, there are an...
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Article
Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning
The human brain has a complicated structure, making it difficult to diagnose any brain ailments, particularly when they affect important parts of the brain. A brain tumor with a high grade type instance is ext...
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Article
Deep learning techniques for prediction of pneumonia from lung CT images
Pneumonia disease is caused by viruses and bacteria which affect one or both lungs. It is the most dangerous disease that causes huge cancer death worldwide. Early detection of Pneumonia is the only way to imp...
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Article
Mobile Robot Navigation in Cluttered Environment Using Spider Monkey Optimization Algorithm
Swarm intelligence is one of the most emerging methods used for autonomous mobile robot navigation. Researchers have developed many algorithms in mobile robot navigation by simulating the swarming behavior of ...
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Chapter and Conference Paper
Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments
is the important task of any mobile robot. In this paper, a modified potential field method for mobile robot navigation has been proposed for unknown environments. Here, the shortest distance between th...
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Chapter and Conference Paper
Performance Analysis of Various Feature Sets for Malaria-Infected Erythrocyte Detection
being prevalent disease in urban areas, demands its accurate and fast diagnosis. Due to malaria infection in human being, the erythrocyte features got distorted. To diagnose these, various techniques ha...
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Article
Mobile Robot Navigation Using Fuzzy-GA Approaches Along with Three Path Concept
This paper presents a technique of navigation of a mobile robot using fuzzy computing and genetic algorithm along with three path concept. The information about the distances and angles of obstacles from the r...
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Article
Neural network-based approaches for mobile robot navigation in static and moving obstacles environments
Mobile robots can travel by acquiring the information using sensor-actuator control techniques from surrounding and perform several tasks. Due to the ability of traversing, mobile robots are used in different ...
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Article
Mobile Robot Navigation Using MLP-BP Approaches in Dynamic Environments
To find an optimal path for robots in an environment that is only partially known and continuously changing is a difficult problem. This paper presents a new method for generating a collision-free near-optimal...
