G. R. Sinha
YOU?
Author Swipe
View article: An IoT-Centric Mobile Platform for Real-Time CO and Methane Detection and Geospatial Analysis in Agriculture
An IoT-Centric Mobile Platform for Real-Time CO and Methane Detection and Geospatial Analysis in Agriculture Open
Agricultural sources are major contributors to GHGs and toxic air pollutants but local monitoring is difficult because of the fragmentary nature of farmlands and the unavailability of inexpensive, portable sensing systems. In this study, w…
View article: An Enhanced Deep Neural Network Model for the Detection of Anomalous Behavior of Drivers in Road Traffic
An Enhanced Deep Neural Network Model for the Detection of Anomalous Behavior of Drivers in Road Traffic Open
Over recent years, video‐surveillance systems have seen extensive adoption, largely driven by security imperatives, with radar‐based speed detection being a common feature in traffic monitoring. Despite its prevalence, broader anomaly dete…
View article: Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals
Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals Open
Technological advancements in healthcare, production, automobile, and aviation industries have shifted working styles from manual to automatic. This automation requires smart, intellectual, and safe machinery to develop an accurate and eff…
View article: Introduction to smart healthcare and the role of cognitive sensors
Introduction to smart healthcare and the role of cognitive sensors Open
Chapter 1 introduces a framework for smart healthcare systems, summarizes state-of-the-art smart healthcare systems, the role of cognitive sensors for health monitoring, an overview of applications using cognitive sensors, challenges in im…
View article: Real-Time Survivor Detection System in SaR Missions Using Robots
Real-Time Survivor Detection System in SaR Missions Using Robots Open
This paper considers the issue of the search and rescue operation of humans after natural or man-made disasters. This problem arises after several calamities, such as earthquakes, hurricanes, and explosions. It usually takes hours to locat…
View article: Yoga Pose Estimation and Feedback Generation Using Deep Learning
Yoga Pose Estimation and Feedback Generation Using Deep Learning Open
Yoga is a 5000-year-old practice developed in ancient India by the Indus-Sarasvati civilization. The word yoga means deep association and union of mind with the body. It is used to keep both mind and body in equilibration in all flip-flops…
View article: Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)
Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN) Open
The lack of annotated datasets makes the automatic detection of skin problems very difficult, which is also the case for most other medical applications. The outstanding results achieved by deep learning techniques in developing such appli…
View article: Deep Learning Neural Network Prediction System Enhanced with Best Window Size in Sliding Window Algorithm for Predicting Domestic Power Consumption in a Residential Building
Deep Learning Neural Network Prediction System Enhanced with Best Window Size in Sliding Window Algorithm for Predicting Domestic Power Consumption in a Residential Building Open
Buildings are considered to be one of the world’s largest consumers of energy. The productive utilization of energy will spare the accessible energy assets for the following ages. In this paper, we analyze and predict the domestic electric…
View article: Ftl‐CoV19: A Transfer Learning Approach to Detect COVID‐19
Ftl‐CoV19: A Transfer Learning Approach to Detect COVID‐19 Open
COVID‐19 is an infectious and contagious disease caused by the new coronavirus. The total number of cases is over 19 million and continues to grow. A common symptom noticed among COVID‐19 patients is lung infection that results in breathle…
View article: Energy‐Efficient Scientific Workflow Scheduling Algorithm in Cloud Environment
Energy‐Efficient Scientific Workflow Scheduling Algorithm in Cloud Environment Open
Scheduling extensive scientific applications that are deadline‐aware (usually referred to as workflow) is a difficult task. This research provides a virtual machine (VM) placement and scheduling approach for effectively scheduling process …
View article: Investigating Feature Ranking Methods for Sub-Band and Relative Power Features in Motor Imagery Task Classification
Investigating Feature Ranking Methods for Sub-Band and Relative Power Features in Motor Imagery Task Classification Open
Interpreting the brain commands is now easier using brain-computer interface (BCI) technologies. Motor imagery (MI) signal detection is one of the BCI applications, where the movements of the hand and feet can be recognized via brain comma…
View article: Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)
Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN) Open
The real cause of breast cancer is very challenging to determine and therefore early detection of the disease is necessary for reducing the death rate due to risks of breast cancer. Early detection of cancer boosts increasing the survival …
View article: Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications
Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications Open
Modern sensors find their wide usage in a variety of applications such as robotics, navigation, automation, remote sensing, underwater imaging, etc. and in recent years the sensors with advanced techniques such as the artificial intelligen…
View article: Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition
Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition Open
Emotion is a crucial aspect of human health, and emotion recognition systems serve important roles in the development of neurofeedback applications. Most of the emotion recognition methods proposed in previous research take predefined EEG …
View article: Miniaturized Pervasive Sensors for Indoor Health Monitoring in Smart Cities
Miniaturized Pervasive Sensors for Indoor Health Monitoring in Smart Cities Open
Sensors and electronics technologies are pivotal in several fields of science and engineering, especially in automation, industry and environment monitoring. Over the years, there have been continuous changes and advancements in design and…
View article: A New Mask R-CNN-Based Method for Improved Landslide Detection
A New Mask R-CNN-Based Method for Improved Landslide Detection Open
This article presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with transfer learning used to train the proposed model. A data …
View article: FESD: An Approach for Biometric Human Footprint Matching Using Fuzzy Ensemble Learning
FESD: An Approach for Biometric Human Footprint Matching Using Fuzzy Ensemble Learning Open
Biometric traits such as fingerprint, retina scan, and palm-prints are used to identify a person at attendance monitoring, banking, passport, travel, and many other applications. Biometric-based person identification is the only method tha…
View article: [Retracted] An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks
[Retracted] An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks Open
With rapid advancement in artificial intelligence (AI) and machine learning (ML), automatic modulation classification (AMC) using deep learning (DL) techniques has become very popular. This is even more relevant for Internet of things (IoT…
View article: Big Data Analytics in Cognitive Social Media and Literary Texts
Big Data Analytics in Cognitive Social Media and Literary Texts Open
View article: An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach Open
Ensemble learning method is a collaborative decision-making mechanism that implements to aggregate the predictions of learned classifiers in order to produce new instances. Early analysis has shown that the ensemble classifiers are more re…
View article: Brain MRI‐based Wilson disease tissue classification: an optimised deep transfer learning approach
Brain MRI‐based Wilson disease tissue classification: an optimised deep transfer learning approach Open
Wilson's disease (WD) is caused by the excessive accumulation of copper in the brain and liver, leading to death if not diagnosed early. WD shows its prevalence as white matter hyperintensity (WMH) in MRI scans. It is challenging and tedio…
View article: A New Mask R-CNN Based Method for Improved Landslide Detection
A New Mask R-CNN Based Method for Improved Landslide Detection Open
This paper presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with transfer learning used to train the proposed model. A data se…
View article: Advances in Smart Environment Monitoring Systems Using IoT and Sensors
Advances in Smart Environment Monitoring Systems Using IoT and Sensors Open
Air quality, water pollution, and radiation pollution are major factors that pose genuine challenges in the environment. Suitable monitoring is necessary so that the world can achieve sustainable growth, by maintaining a healthy society. I…
View article: Efficient CTDSM based on GM‐C quantiser and improved dynamic element matching
Efficient CTDSM based on GM‐C quantiser and improved dynamic element matching Open
In this study, a continuous‐time delta‐sigma modulator (CTDSM) is developed using a Gm‐C based noise‐shaping quantiser (Gm‐C‐NSQ) with an improved dynamic element matching (i‐DEM) algorithm. Here, a Gm‐C integrator is used to develop NSQ, …
View article: Hybrid Computerized Method for Environmental Sound Classification
Hybrid Computerized Method for Environmental Sound Classification Open
Classification of environmental sounds plays a key role in security, investigation, robotics since the study of the sounds present in a specific environment can allow to get significant insights. Lack of standardized methods for an automat…
View article: Semantic Labeling of natural Scene Images Using Color Features
Semantic Labeling of natural Scene Images Using Color Features Open
Scene image classification systems firstly need to locate the objects, and then classify the whole image. The color feature is importance to describe the properties of an image surface. The paper presents a framework for scene images to la…
View article: Efficient Data Deduplication Mechanism for Genomic Data
Efficient Data Deduplication Mechanism for Genomic Data Open
During the data science age, many people tend to access health concerned information and diagnosis using information technology, including telemedicine. Therefore, many researchers attempting to work with medical experts as well as bioinfo…
View article: Analysis of Quantization Noise and Power Estimation of Continuous-Time Delta Sigma Analog-to-Digital Converter Using Test Enable Feature For 4G Radios
Analysis of Quantization Noise and Power Estimation of Continuous-Time Delta Sigma Analog-to-Digital Converter Using Test Enable Feature For 4G Radios Open
This paper presents a novel approach for completely test enable feature and low-voltage delta– sigma analog-to-digital (A/D) converters for cutting edge wireless applications. Oversampling feature of ADCs and DACs is enough to meet t…
View article: Design and Applied Systematic Matrix Method for Orthogonal MIMO Channel over Fading Channel
Design and Applied Systematic Matrix Method for Orthogonal MIMO Channel over Fading Channel Open
In this paper we propose a systematic method for designing a space – time orthogonal MIMO scheme that employs an arbitrary number of transmitting and receiving antennas. Such systems is utilized to improve the bit error rate (BER) performa…
View article: Cancer Detection Using Neuro Fuzzy Classifier in CT Images
Cancer Detection Using Neuro Fuzzy Classifier in CT Images Open
In this study, we have implemented an adaptive neuro fuzzy inference system (ANFIS) for detection of mass in CT images for early diagnosis of lung cancer. After completion of preprocessing and segmentation process four features have been e…