Pawan Kumar Singh
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View article: Correlation of Functional Performance with Sleep Quality in Patients with Pulmonary Tuberculosis
Correlation of Functional Performance with Sleep Quality in Patients with Pulmonary Tuberculosis Open
Background: Pulmonary tuberculosis (PTB), a prevalent condition in India, frequently disrupts sleep quality due to symptoms such as fatigue, chronic cough, and night sweats. As a consequence, impaired sleep may significantly impact an indi…
View article: MBTC-Net: Multimodal brain tumor classification from CT and MRI scans using deep neural network with multi-head attention mechanism
MBTC-Net: Multimodal brain tumor classification from CT and MRI scans using deep neural network with multi-head attention mechanism Open
Brain tumors pose a singularly formidable threat in contemporary healthcare due to their diverse histological profiles and unpredictable clinical behavior. Their spectrum ranges from slow-growing benign tumors to highly aggressive malignan…
View article: Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach
Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach Open
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adole…
View article: A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals
A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals Open
Background: Parkinson’s disease (PD) is one of the most prevalent, widespread, and intricate neurodegenerative disorders. According to the experts, at least 1% of people over the age of 60 are affected worldwide. In the present time, the e…
View article: A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification Open
Skin cancer is widespread and can be potentially fatal. According to the World Health Organisation (WHO), it has been identified as a leading cause of mortality. It is essential to detect skin cancer early so that effective treatment can b…
View article: Non-Invasive Kidney Stone Prediction using Machine Learning: An Extensive Review
Non-Invasive Kidney Stone Prediction using Machine Learning: An Extensive Review Open
This study investigates the use of machine learning (ML) methods for detecting kidney stones, a field that has gained increasing attention due to limitations in traditional diagnostic methods such as ultrasound and Computed Tomography (CT)…
View article: Quantifying short-term backwasting rates of a supraglacial ice cliff at Machoi Glacier in the Indian Himalaya
Quantifying short-term backwasting rates of a supraglacial ice cliff at Machoi Glacier in the Indian Himalaya Open
Highly dynamic, ephemeral ice cliffs are melting hotspots on debris-covered glaciers. While the seasonal evolution of Himalayan ice cliffs is well documented, short-term changes on hourly to daily scales and their driving factors are rarel…
View article: Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
Schizophrenia Detection and Classification: A Systematic Review of the Last Decade Open
Background/Objectives: Artificial Intelligence (AI) in healthcare employs advanced algorithms to analyze complex and large-scale datasets, mimicking aspects of human cognition. By automating decision-making processes based on predefined th…
View article: HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals
HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals Open
Epileptic seizure (ES) detection is an active research area, that aims at patient-specific ES detection with high accuracy from electroencephalogram (EEG) signals. The early detection of seizure is crucial for timely medical intervention a…
View article: Exploding AI-Generated Deep fakes and Misinformation: A Threat to Global Concern in the 21st Century
Exploding AI-Generated Deep fakes and Misinformation: A Threat to Global Concern in the 21st Century Open
Deep fakes the term was coined in 2018 by a Reddit user who created a Reddit forum dedicated to the creation and use of deep learning software for synthetically face swapping female celebrities into pornographic videos. According to Sumsub…
View article: Two decades of vehicle make and model recognition – Survey, challenges and future directions
Two decades of vehicle make and model recognition – Survey, challenges and future directions Open
Vehicle make and model recognition (VMMR) is a crucial task for developing automatic vehicle recognition (AVR) systems, and has gained significant attention in the fields of computer vision and artificial intelligence in recent years. The …
View article: Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering
Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering Open
In this current era, the identification of both known and novel cell types, the representation of cells, predicting cell fates, classifying various tumor types, and studying heterogeneity in various cells are the key areas of interest in t…
View article: A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition
A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition Open
Emotion recognition from EEG signals is a major field of research in cognitive computing. The major challenges involved in the task are extracting meaningful features from the signals and building an accurate model. This paper proposes a f…
View article: Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders Open
EDITORIAL article Front. Neuroinform., 20 July 2023 Volume 17 - 2023 | https://doi.org/10.3389/fninf.2023.1229945
View article: Emotional Appeal in the Tweets: A Study on Indian National Political Parties
Emotional Appeal in the Tweets: A Study on Indian National Political Parties Open
The use of emotional appeal in dialogue by political parties to attract voters has become common practice. Social media has made it easier to spread emotional appeal. The research presented is based on the emotional appeal in the tweets of…
View article: Classification of Mental Stress from Wearable Physiological Sensors Using Image-Encoding-Based Deep Neural Network
Classification of Mental Stress from Wearable Physiological Sensors Using Image-Encoding-Based Deep Neural Network Open
The human body is designed to experience stress and react to it, and experiencing challenges causes our body to produce physical and mental responses and also helps our body to adjust to new situations. However, stress becomes a problem wh…
View article: Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring
Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring Open
Biomedical images contain a huge number of sensor measurements that can provide disease characteristics. Computer-assisted analysis of such parameters aids in the early detection of disease, and as a result aids medical professionals in qu…
View article: MIC_FuzzyNET: Fuzzy Integral Based Ensemble for Automatic Classification of Musical Instruments From Audio Signals
MIC_FuzzyNET: Fuzzy Integral Based Ensemble for Automatic Classification of Musical Instruments From Audio Signals Open
Music has been an integral part of the history of humankind with theories suggesting it is more antediluvian than speech itself. Music is an ordered succession of tones and harmonies that produce sounds characterised by melody and rhythm. …
View article: Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object Detection
Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object Detection Open
Recently, deep learning-based methods, especially utilizing fully convolutional neural networks, have shown extraordinary performance in salient object detection. Despite its success, the clean boundary detection of the saliency objects is…
View article: Retraction Note: GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest
Retraction Note: GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest Open
Editor's Note: this Article has been retracted; the Retraction Note is available at https://doi.org/10.1038/s41598-021-87523-1