Varun Bajaj
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View article: Ashes of Creation: JWST Uncovers Silicate Dust in Massive Star Clusters
Ashes of Creation: JWST Uncovers Silicate Dust in Massive Star Clusters Open
Dust production is a fundamental aspect of the baryonic cycle of star formation. It is known that dust is injected into the interstellar medium during early star formation by supernovae and later on by evolved stars. From individual object…
View article: Dapsone‐Induced Hypersensitivity Pneumonitis in Borderline Tuberculoid Leprosy
Dapsone‐Induced Hypersensitivity Pneumonitis in Borderline Tuberculoid Leprosy Open
View article: Gemcitabine induced vasculitis: an increasing trend
Gemcitabine induced vasculitis: an increasing trend Open
View article: GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449
GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 Open
We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf starburst galaxy NGC 4449 using data from the GULP survey. By analyzing the spatial distribution of field stars younger than 100 Myr, we id…
View article: GULP II: Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449
GULP II: Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 Open
We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf starburst galaxy NGC 4449 using data from the GULP survey. By analyzing the spatial distribution of field stars younger than 100 Myr, we id…
View article: Power Spectra of JWST Images of Local Galaxies: Searching for Disk Thickness
Power Spectra of JWST Images of Local Galaxies: Searching for Disk Thickness Open
JWST/MIRI images have been used to study the Fourier transform power spectra (PS) of two spiral galaxies, NGC 628 and NGC 5236, and two dwarfs, NGC 4449 and NGC 5068, at distances ranging from 4 to 10 Mpc. The PS slopes on scales larger th…
View article: Feedback in Emerging Extragalactic Star Clusters (JWST--FEAST): Calibration of Star Formation Rates in the Mid-Infrared with NGC 628
Feedback in Emerging Extragalactic Star Clusters (JWST--FEAST): Calibration of Star Formation Rates in the Mid-Infrared with NGC 628 Open
New JWST near-infrared imaging of the nearby galaxy NGC 628 from the Cycle 1 program JWST-FEAST is combined with archival JWST mid-infrared imaging to calibrate the 21 $μ$m emission as a star formation rate indicator (SFR) at $\sim$120 pc …
View article: Multi-Model Deep Learning System for Screening Human Monkeypox Using Skin Images
Multi-Model Deep Learning System for Screening Human Monkeypox Using Skin Images Open
sion dataset. Results: By amalgamating features extracted from all three CNNs and utilizing the medium Gaussian kernel of the SVM classifier, our proposed system achieves an outstanding av- erage classification accuracy of 90.4%. Conclusio…
View article: Automatic feature extraction using deep learning for automatic modulation classification implemented with Python
Automatic feature extraction using deep learning for automatic modulation classification implemented with Python Open
The radio spectrum has become extremely packed due to an immense spike in user terminals as wireless technology has grown rapidly. Thus, giving reliable and quality services is greatly challenging due to system complexities at various syst…
View article: Crystallizing galactocele: A rare case report and review of literature
Crystallizing galactocele: A rare case report and review of literature Open
Crystallizing galactocele is an uncommon condition that produces a viscous, chalky substance on fine needle aspiration cytology. (FNAC). Both the diagnosis and the management of this illness include the use of FNAC. Here, we discuss the ca…
View article: Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals Open
It is essential to have enough sleep for a healthy life; otherwise, it may lead to sleep disorders such as apnea, narcolepsy, insomnia, and periodic leg movements.A polysomnogram (PSG) is typically used to analyze sleep and identify differ…
View article: Efficacy of Lumbar Transforaminal Epidural Steroid Injections for Lumbosacral Radiculopathy in Individuals with Spine Surgery: A Retrospective Comparative Study
Efficacy of Lumbar Transforaminal Epidural Steroid Injections for Lumbosacral Radiculopathy in Individuals with Spine Surgery: A Retrospective Comparative Study Open
Introduction: Transforaminal epidural steroid injections (TFESI) have demonstrated their efficacy in both short-term and long-term treatment of radicular pain with their targets being the anterolateral epidural space and dorsal root gangli…
View article: A unique hybrid domain hand-crafted feature to classify colorectal tissue histopathological images using multiheaded CNN
A unique hybrid domain hand-crafted feature to classify colorectal tissue histopathological images using multiheaded CNN Open
Early diagnosis of colorectal cancer lengthens human life and is helpful in efforts to cure the illness. Histopathological inspection is a routinely utilized technique to diagnose it. Visual assessment of histopathological images takes mor…
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: IoT-based continuous cardiac monitoring system
IoT-based continuous cardiac monitoring system Open
Chapter 1 provides an IoT-based wearable cardiac healthcare system to prevent cardiovascular diseases (CVDs) using continuous monitoring of electrocardiogram (ECG) signals and heart rate.
View article: Robotics vision for industrial automation
Robotics vision for industrial automation Open
This chapter describes the role and importance of computer vision in industrial applications. First, it describes the different aspects and applications of computer vision such as code scanning, machine control and so on, and the way it wi…
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: SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals Open
Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions, cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking. Timely detection and treatment of SZ are necessary to avoid lon…
View article: Deep learning models-based CT-scan image classification for automated screening of COVID-19
Deep learning models-based CT-scan image classification for automated screening of COVID-19 Open
View article: High Resolution HST Imaging Survey of Local Star-Forming Galaxies I: Spatially-Resolved Obscured Star Formation with H$α$ and Paschen-$β$ Recombination Lines
High Resolution HST Imaging Survey of Local Star-Forming Galaxies I: Spatially-Resolved Obscured Star Formation with H$α$ and Paschen-$β$ Recombination Lines Open
We present a sample of 24 local star-forming galaxies observed with broad- and narrow-band photometry from the Hubble Space Telescope, that are part of the GOALS survey of local luminous and ultra-luminous infrared galaxies. With narrow-ba…
View article: A rare case of multiple perinevoid alopecia
A rare case of multiple perinevoid alopecia Open
View article: Monoclonal Gammopathy of Renal Significance: Histomorphological Spectrum at a Tertiary Care Center
Monoclonal Gammopathy of Renal Significance: Histomorphological Spectrum at a Tertiary Care Center Open
Introduction: The term monoclonal gammopathy of renal significance (MGRS) has been described to include patients with renal manifestations associated with circulating monoclonal proteins with or without a clonal lymphoprolife…
View article: Drone-based vision system: surveillance during calamities
Drone-based vision system: surveillance during calamities Open
Chapter 1 provides insight into a drone based vision system, and its implementation and application for surveillance. Details of the system components, implementation steps and analysis of obtained result are provided.
View article: Multipurpose medical image watermarking for effective security solutions
Multipurpose medical image watermarking for effective security solutions Open
View article: Deep Learning Models-Based CT-Scan Image Classification for Automated Screening of COVID-19
Deep Learning Models-Based CT-Scan Image Classification for Automated Screening of COVID-19 Open
View article: IgA Nephropathy and Atypical Anti-GBM Disease: A Rare Dual Pathology in a Pediatric Rapidly Progressive Glomerulonephritis
IgA Nephropathy and Atypical Anti-GBM Disease: A Rare Dual Pathology in a Pediatric Rapidly Progressive Glomerulonephritis Open
Introduction: Anti-GBM nephritis in the pediatric age group is exceedingly rare with concurrent additional pathologies being even rarer. Tissue diagnosis requires a combination of crescentic histomorphology, immunofluorescenc…
View article: Conference Committee Members
Conference Committee Members Open
View article: Automatic detection of hypertension by flexible analytic wavelet transform using electrocardiogram signals
Automatic detection of hypertension by flexible analytic wavelet transform using electrocardiogram signals Open
Chapter 1 presents automatic detection of hypertension and normal electrocardiogram signal by using flexible analytic wavelet transform and different classification techniques.
View article: Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography
Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography Open
Parkinson’s disease (PD) is a severe incurable neurological disorder. It is mostly characterized by non-motor symptoms like fatigue, dementia, anxiety, speech and communication problems, depression, and so on. Electroencephalography (EEG) …
View article: Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform
Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform Open
The unnatural activities of brain due to seizure events are analysed by electroencephalogram (EEG) signals which are captured from the brain. In this work, a methodology is proposed to classify the seizure EEG signals. In the proposed meth…