M.N.S. Swamy
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View article: Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification
Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification Open
Vision Transformers (ViTs), inspired by their success in natural language processing, have recently gained attention for heart sound classification (HSC). However, most of the existing studies on HSC rely on single-stream architectures, ov…
View article: Simulating Endonasal Endoscopic Skull Base Surgery on Animal Carcasses: A Prospective Observational Study
Simulating Endonasal Endoscopic Skull Base Surgery on Animal Carcasses: A Prospective Observational Study Open
Background: Proficiency in neuroendoscopic techniques is vital in modern neurosurgery, especially with the rising prominence of endoscopic endonasal procedures. Traditional training methods face challenges due to cadaver scarcity and cost-…
View article: Surface Disinfection Robot
Surface Disinfection Robot Open
The Surface Disinfection Robot project utilizes sophisticated technology to automate the cleaning and disinfection of floors in various spaces. The robot is equipped with an ultrasonic sensor to detect obstacles, allowing it to navigate an…
View article: Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions
Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions Open
The kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable. Tra…
View article: Endoscopic hemispherotomy: an illustrative video
Endoscopic hemispherotomy: an illustrative video Open
Endoscopic surgery has brought about a paradigm shift in the field of neurosurgery. It provides a panoramic view, heightened illumination, magnification, and the unique ability to navigate corners, all of which significantly enhance surgic…
View article: Prediction of instantaneous likeability of advertisements using deep learning
Prediction of instantaneous likeability of advertisements using deep learning Open
The degree to which advertisements are successful is of prime concern for vendors in highly competitive global markets. Given the astounding growth of multimedia content on the internet, online marketing has become another form of advertis…
View article: RHN: A Residual Holistic Neural Network for Edge Detection
RHN: A Residual Holistic Neural Network for Edge Detection Open
Edge detection plays a very important role in many image processing and computer vision applications. Use of deep convolutional neural networks (DCNNs) has significantly advanced the performance of image edge detection techniques. Existing…
View article: Hardware-Friendly Laplacian-Based Multi-Focus Image Fusion in DCT Domain for Visual Sensor Network
Hardware-Friendly Laplacian-Based Multi-Focus Image Fusion in DCT Domain for Visual Sensor Network Open
Visual sensor network (VSN) requires a multi-focus image or video frame fusion technique involving focus measure computation in the DCT-domain to generate an all-in-focus image. Such techniques are implemented on resource-constrained on-bo…
View article: An Adaptive Turn Rate Estimation for Tracking a Maneuvering Target
An Adaptive Turn Rate Estimation for Tracking a Maneuvering Target Open
Tracking maneuvering targets accurately is one of the most challenging tasks in the design of aircraft tracking systems. For efficient tracking performance, the target motion predicted by the target motion model needs to match the target's…
View article: Azimuth Estimation for Sectorized Base Station With Improved Soft-Margin Classification
Azimuth Estimation for Sectorized Base Station With Improved Soft-Margin Classification Open
Sector antenna azimuth plays an important role in the operation and maintenance of mobile networks. It is adjusted frequently so as to guarantee the high quality of coverage and low interference among neighboring cells. As one of the key e…
View article: Multimodal Neuroimaging Fusion in Nonsubsampled Shearlet Domain Using Location-Scale Distribution by Maximizing the High Frequency Subband Energy
Multimodal Neuroimaging Fusion in Nonsubsampled Shearlet Domain Using Location-Scale Distribution by Maximizing the High Frequency Subband Energy Open
A fusion of medical imaging data obtained from different modalities plays an important role in the current clinical practice. In this paper, we propose a novel multimodal fusion algorithm for brain imaging data based on the statistical pro…
View article: A Multi-Biometric System Based on Feature and Score Level Fusions
A Multi-Biometric System Based on Feature and Score Level Fusions Open
In general, the information of multiple biometric modalities is fused at a single level, for example, score level or feature level. The recognition accuracy of a multimodal biometric system may not be improved by carrying fusion at a singl…
View article: A Framework for Image Denoising Using First and Second Order Fractional Overlapping Group Sparsity (HF-OLGS) Regularizer
A Framework for Image Denoising Using First and Second Order Fractional Overlapping Group Sparsity (HF-OLGS) Regularizer Open
Denoising images subjected to Gaussian and Poisson noise has attracted attention in many areas of image processing. This paper introduces an image denoising framework using higher order fractional overlapping group sparsity prior to sparse…
View article: Spectral Efficiency Maximization of a Single Cell Massive MU-MIMO Down-Link TDD System by Appropriate Resource Allocation
Spectral Efficiency Maximization of a Single Cell Massive MU-MIMO Down-Link TDD System by Appropriate Resource Allocation Open
This paper deals with the problem of maximizing the spectral efficiency in a massive multi-user MIMO downlink system, where a base station is equipped with a very large number of antennas and serves single-antenna users simultaneously in t…
View article: A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images
A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images Open
Reduction of mixed noise is an ill posed problem for the occurrence of contrasting distributions of noise in the image. The mixed noise that is usually encountered is the simultaneous presence of additive white Gaussian noise (AWGN) and im…
View article: Compnet: A New Scheme for Single Image Super Resolution Based on Deep Convolutional Neural Network
Compnet: A New Scheme for Single Image Super Resolution Based on Deep Convolutional Neural Network Open
The features produced by the layers of a neural network become increasingly more sparse as the network gets deeper and consequently, the learning capability of the network is not further enhanced as the number of layers is increased. In th…
View article: Visual Tracking Based on Correlation Filter and Robust Coding in Bilateral 2DPCA Subspace
Visual Tracking Based on Correlation Filter and Robust Coding in Bilateral 2DPCA Subspace Open
The success of correlation filters in visual tracking has attracted much attention in computer vision due to their high efficiency and performance. However, they are not equipped with a mechanism to cope with challenging situations like sc…
View article: Modelling and Analysis of Regional Service Behavior Properties of Mobile Internet Applications
Modelling and Analysis of Regional Service Behavior Properties of Mobile Internet Applications Open
In view of the facts that traditional traffic models are less effective in describing the new mobile internet applications and that the mobile user service behavior among regions with different levels of economic development are always dif…
View article: MSAIndelFR: a scheme for multiple protein sequence alignment using information on indel flanking regions
MSAIndelFR: a scheme for multiple protein sequence alignment using information on indel flanking regions Open
We have proposed a novel and efficient algorithm, the MSAIndelFR algorithm, for multiple protein sequence alignment incorporating a new variable gap penalty function. It is shown that the performance of the proposed algorithm is superior t…
View article: A Comparison of Integer Cosine and Tchebichef Transforms for Image Compression Using Variable Quantization
A Comparison of Integer Cosine and Tchebichef Transforms for Image Compression Using Variable Quantization Open
In the field of image and data compression, there are always new approaches being tried and tested to improve the quality of the reconstructed image and to reduce the computational complexity of the algorithm employed. However, there is no…