Prabhu Jayagopal
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View article: Social Determinants of Health Patterns in Children with Severe Disease Due to SARS-CoV-2 Infection—An Exploratory Approach
Social Determinants of Health Patterns in Children with Severe Disease Due to SARS-CoV-2 Infection—An Exploratory Approach Open
Background/Objectives: Research on the association of adverse social determinants of health (SDOH) with severe pediatric coronavirus disease (COVID-19) is limited. We examined associations between SDOH patterns and COVID-19 severity in chi…
View article: RETRACTED: Srinivasan et al. Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images. Electronics 2023, 12, 862
RETRACTED: Srinivasan et al. Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images. Electronics 2023, 12, 862 Open
The journal retracts the article “Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images” [...]
View article: Smart Irrigation System Using Soil Moisture Prediction with Deep CNN for Various Soil Types
Smart Irrigation System Using Soil Moisture Prediction with Deep CNN for Various Soil Types Open
Soil moisture sensing plays a crucial role in agriculture as it directly impacts plant growth and can significantly enhance crop productivity. With the advent of technology, agriculture applications have undergone a revolution, enabling mo…
View article: Early Detection of Banana Leaf Disease Using Novel Deep Convolutional Neural Network
Early Detection of Banana Leaf Disease Using Novel Deep Convolutional Neural Network Open
One of the most widely grown commercial commodities in India is the banana tree, which has important cultural and gastronomic significance in tropical and subtropical areas where banana leaves are widely used for food delivery and packagin…
View article: TPEMLB: A novel two-phase energy minimized load balancing scheme for WSN data collection with successive convex approximation using mobile sink
TPEMLB: A novel two-phase energy minimized load balancing scheme for WSN data collection with successive convex approximation using mobile sink Open
Wireless Sensor Networks (WSNs) an energy consumption is a significant problematic due to the limited power resources of sensor nodes. Mobile Sinks (MS) rise the system's flexibility and convenience of data collection. The important role o…
View article: Correction: Srinivasan et al. Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images. Electronics 2023, 12, 862
Correction: Srinivasan et al. Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images. Electronics 2023, 12, 862 Open
There was an error in the original publication [...]
View article: Developing a Modified Deep Belief Network with metaheuristic optimization Algorithm for predicting Alzheimer disease using Electroencephalogram
Developing a Modified Deep Belief Network with metaheuristic optimization Algorithm for predicting Alzheimer disease using Electroencephalogram Open
A neurological brain disorder that progresses over time is Alzheimer's disease. Alzheimer's disease can take years to identify, comprehend, and manifest—even in cases where signs are obvious. On the other hand, technological developments l…
View article: A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm
A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm Open
Our environment has been significantly impacted by climate change. According to previous research, insect catastrophes induced by global climate change killed many trees, inevitably contributing to forest fires. The condition of the forest…
View article: Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach
Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach Open
Intense sun exposure is a major risk factor for the development of melanoma, an abnormal proliferation of skin cells. Yet, this more prevalent type of skin cancer can also develop in less-exposed areas, such as those that are shaded. Melan…
View article: Detection and classification of adult epilepsy using hybrid deep learning approach
Detection and classification of adult epilepsy using hybrid deep learning approach Open
The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by clinicians to detect seizures and other neurological abnormalities of the human brain. The proper diagnosis of epilepsy is crucial due to …
View article: Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm
Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm Open
Breast cancer is the second leading cause of mortality among women. Early and accurate detection plays a crucial role in lowering its mortality rate. Timely detection and classification of breast cancer enable the most effective treatment.…
View article: An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database
An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database Open
Heart disease is a significant global cause of mortality, and predicting it through clinical data analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for diagnosing and predicting heart disease by analyzing heal…
View article: Deep learning models for predicting the position of the head on an X-ray image for Cephalometric analysis
Deep learning models for predicting the position of the head on an X-ray image for Cephalometric analysis Open
Cephalometric analysis is used to identify problems in the development of the skull, evaluate their treatment, and plan for possible surgical interventions. The paper aims to develop a Convolutional Neural Network that will analyze the hea…
View article: Dithering techniques and segmentation analysis on a mammogram breast cancer image
Dithering techniques and segmentation analysis on a mammogram breast cancer image Open
The objective of the publishing industry is to minimize the number of colors in an image for printing. Also, to retain the better quality from the picture, some useful techniques are needed with the aid of only a few colors. The contouring…
View article: IoT based real time air and noise pollution monitoring and controlling
IoT based real time air and noise pollution monitoring and controlling Open
Air and sound pollution is the biggest problem nowadays. So It is required to monitor air quality and noise levels to keep it control for a better future and happy living for all. In order to monitor the pollution, we propose an air pollut…
View article: Detection for Melanoma Skin Cancer through ACCF, BPPF, and CLF Techniques with Machine Learning Approach
Detection for Melanoma Skin Cancer through ACCF, BPPF, and CLF Techniques with Machine Learning Approach Open
Intense sun exposure is a major risk factor for the development of melanoma, an abnormal proliferation of skin cells. Yet, this more prevalent type of skin cancer can also develop in less-exposed areas, such as those that are shaded. Melan…
View article: A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA
A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA Open
We developed a framework to detect and grade knee RA using digital X-radiation images and used it to demonstrate the ability of deep learning approaches to detect knee RA using a consensus-based decision (CBD) grading system. The study aim…
View article: Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease
Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease Open
In recent years, finding the optimal solution for image segmentation has become more important in many applications. The whale optimization algorithm (WOA) is a metaheuristic optimization technique that has the advantage of achieving the g…
View article: Wireless Sensor Networks Based on Multi-Criteria Clustering and Optimal Bio-Inspired Algorithm for Energy-Efficient Routing
Wireless Sensor Networks Based on Multi-Criteria Clustering and Optimal Bio-Inspired Algorithm for Energy-Efficient Routing Open
Wireless sensor networks (WSNs) are used for recording the information from the physical surroundings and transmitting the gathered records to a principal location via extensively disbursed sensor nodes. The proliferation of sensor devices…
View article: RETRACTED: Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images
RETRACTED: Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images Open
Diabetic retinopathy (DR) and adult vitelliform macular dystrophy (AVMD) may cause significant vision impairment or blindness. Prompt diagnosis is essential for patient health. Photographic ophthalmoscopy checks retinal health quickly, pai…
View article: Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection
Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection Open
Every year, cervical cancer is a leading cause of mortality in women all over the world. This cancer can be cured if it is detected early and patients are treated promptly. This study proposes a new strategy for the detection of cervical c…
View article: Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language
Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language Open
As electronics and the increasing popularity of social media are widely used, a large amount of text data is created at unprecedented rates. All data created cannot be read by humans, and what they discuss in their sphere of interest may b…
View article: A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming
A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming Open
With the advancement of Internet technologies and the rapid increase of World Wide Web applications, there has been tremendous growth in the volume of digital data. This takes the digital world into a new era of big data. Various existing …
View article: Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach
Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach Open
In this paper, trajectory planning and navigation control problems have been addressed for a mobile robot. To achieve the objective of the research, an adaptive PSO (Particle Swarm Optimization) motion algorithm is developed using a penalt…
View article: A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal
A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal Open
Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness behind the wheel. Using EEG technology for driving fatigue detection still presents challenges in extracting informative elements from noisy EEG sign…
View article: A Novel Approach for Hybrid Image Segmentation GCPSO: FCM Techniques for MRI Brain Tumour Identification and Classification
A Novel Approach for Hybrid Image Segmentation GCPSO: FCM Techniques for MRI Brain Tumour Identification and Classification Open
In recent times, the early detection of brain tumour analysis and classification has become a very vital part of the medical field. The MRI scan image is the most significant tool to study brain tissue for proper diagnosis and efficient tr…
View article: Identifying Complex Emotions in Alexithymia Affected Adolescents Using Machine Learning Techniques
Identifying Complex Emotions in Alexithymia Affected Adolescents Using Machine Learning Techniques Open
Many scientific researchers’ study focuses on enhancing automated systems to identify emotions and thus relies on brain signals. This study focuses on how brain wave signals can be used to classify many emotional states of humans. Electroe…