74 citations · 92 across the 9 of their papers we have counts for
9 papers
Impact Assessment of Data Integrity Attacks in MVDC Shipboard Power Systems
Kirti Gupta, Subham Sahoo, Bijaya Ketan Panigrahi +1
The development of power electronics-based medium voltage direct current (MVDC) networks has revolutionized the marine industry by enabling all-electric ships (AES). This technolog…
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
Background and Objective: Tuberculosis (TB) is a significant public health issue and a leading cause of death worldwide. Millions of deaths can be averted by early diagnosis and su…
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more. Au…
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi +1
Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bi-level quantum bits often describe qu…
Tumor Classification and Segmentation of MR Brain Images
Tanvi Gupta, Pranay Manocha, Tapan K. Gandhi +2
The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature of this pathology. Magnetic Reso- nance Imaging (MRI) is an…
Automated Tumor Segmentation and Brain Mapping for the Tumor Area
Pranay Manocha, Snehal Bhasme, Tanvi Gupta +2
Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. Magnetic Resonance (MR) is more preferred than Computed Tomography (C…
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees
Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi +1
Accurate prediction of wind ramp events is critical for ensuring the reliability and stability of the power systems with high penetration of wind energy. This paper proposes a clas…
Fault Detection in IEEE 14-Bus Power System with DG Penetration Using Wavelet Transform
Prakash K. Ray, B. K. Panigrahi, P. K. Rout +2
Wavelet transform is proposed in this paper for detection of islanding and fault disturbances distributed generation (DG) based power system. An IEEE 14-bus system with DG penetrat…
Detection of Faults in Power System Using Wavelet Transform and Independent Component Analysis
P. K. Ray, B. K. Panigrahi, P. K. Rout +2
Uninterruptible power supply is the main motive of power utility companies that motivate them for identifying and locating the different types of faults as quickly as possible to p…