Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Air pollution (3)
- Deep learning (3)
- Nanoparticles (3)
- SARS-CoV-2 (3)
- ACE2 (2)
-
- Alzheimer's disease (2)
- COVID 19 (2)
- Depression (2)
- India (2)
- Machine learning (2)
- Neurotropism (2)
- Parkinson's disease (2)
- Research evaluation (2)
- Suicide (2)
- (p (1)
- 5-HIAA (1)
- 5-HT (1)
- Active learning (1)
- All-cause mortality (1)
- Altmetrics (1)
- Alzheimer (1)
- Alzheimer continuum (1)
- Antioxidant activity (1)
- Artificial Intelligence (1)
- Atopic dermatitis (1)
- Autism spectrum disorder (1)
- Automorphism (1)
- Balance (1)
- Baskakov operators (1)
- Baskakov-Kantorovich operators (1)
Articles 1 - 30 of 66
Full-Text Articles in Entire DC Network
Forged Text Detection In Video, Scene, And Document Images, Lokesh Nandanwar, Palaiahnakote Shivakumara, Prabir Mondal, Karpuravalli Srinivas, Raghunandan, Umapada Pal, Tong Lu, Daniel Lopresti
Forged Text Detection In Video, Scene, And Document Images, Lokesh Nandanwar, Palaiahnakote Shivakumara, Prabir Mondal, Karpuravalli Srinivas, Raghunandan, Umapada Pal, Tong Lu, Daniel Lopresti
Journal Articles
Rapid advances in artificial intelligence have made it possible to produce forgeries good enough to fool an average user. As a result, there is growing interest in developing robust methods to counter such forgeries. This study presents a new Fourier spectrum-based method for detecting forged text in video images. The authors' premise is that brightness distribution and the spectrum shape exhibit irregular patterns (inconsistencies) for forged text, while appearing more regular for original text. The method divides the spectrum of an input image into sectors and tracks to highlight these effects. Specifically, positive and negative coefficients for sectors and tracks …
Inequality Measures: The Kolkata Index In Comparison With Other Measures, Suchismita Banerjee, Bikas K. Chakrabarti, Manipushpak Mitra, Suresh Mutuswami
Inequality Measures: The Kolkata Index In Comparison With Other Measures, Suchismita Banerjee, Bikas K. Chakrabarti, Manipushpak Mitra, Suresh Mutuswami
Journal Articles
We provide a survey of the Kolkata index of social inequality, focusing in particular on income inequality. Based on the observation that inequality functions (such as the Lorenz function), giving the measures of income or wealth against that of the population, to be generally nonlinear, we show that the fixed point (like Kolkata index k) of such a nonlinear function (or related, like the complementary Lorenz function) offer better measure of inequality than the average quantities (like Gini index). Indeed the Kolkata index can be viewed as a generalized Hirsch index for a normalized inequality function and gives the fraction …
Enhanced Gamma Band Mutual Information Is Associated With Impaired Consciousness During Temporal Lobe Seizures, Puneet Dheer, Sandipan Pati, Kalyan Kumar Chowdhury, Kaushik Kumar Majumdar
Enhanced Gamma Band Mutual Information Is Associated With Impaired Consciousness During Temporal Lobe Seizures, Puneet Dheer, Sandipan Pati, Kalyan Kumar Chowdhury, Kaushik Kumar Majumdar
Journal Articles
Background: Epileptic seizures are characterized by aberrant synchronization. We hypothesized that higher synchronization across the seizure onset zone (SOZ) channels during a temporal lobe seizure contributes to impaired consciousness. New method: All symmetric bivariate synchronization measures were extended to multivariate measure by a principal component analysis (PCA) based technique. A novel nonparametric method has been proposed to test the statistical significance between increased synchronization across the seizure onset zone (SOZ) channels and reduced consciousness. Results: Increased synchronization in the gamma band towards seizure termination significantly contributes to impaired consciousness (p < 0.1). Synchronization reaches its peak in the extratemporal region (frontal lobe) ahead of the temporal region (p < 0.05). Synchronization is prominent in beta and gamma bands by most methods and it is more in the second half of seizure duration than in the first (p < 0.05). Conclusions: Mutual information is the only synchronization measure out of the six that we studied, whose increase can be associated with the loss of consciousness in a statistically significant way.
Enhanced Tensor Non-Gaussianities In Presence Of A Source, Abhishek Naskar, Supratik Pal
Enhanced Tensor Non-Gaussianities In Presence Of A Source, Abhishek Naskar, Supratik Pal
Journal Articles
We address the possibility of having an enhanced signal for tensor non-Gaussianities in presence of a source, as a signature of Primordial Gravitational Waves. We employ a nearly model-independent framework based on Effective Field Theory of inflation and compute tensor non-Gaussianities therefrom sourced by particle production during (p)reheating to arrive at an enhanced signal strength. We obtain the non-linearity parameters and also find that squeezed limit bispectra are more enhanced than equilateral limit.
Deep Invariant Texture Features For Water Image Classification, Minglong Xue, Palaiahnakote Shivakumara, Xuerong Wu, Tong Lu, Umapada Pal, Michael Blumenstein, Daniel Lopresti
Deep Invariant Texture Features For Water Image Classification, Minglong Xue, Palaiahnakote Shivakumara, Xuerong Wu, Tong Lu, Umapada Pal, Michael Blumenstein, Daniel Lopresti
Journal Articles
Detecting potential issues in naturally captured images of water is a challenging task due to visual similarities between clean and polluted water, as well as causes posed by image acquisition with different camera angles and placements. This paper presents novel deep invariant texture features along with a deep network for detecting clean and polluted water images. The proposed method first divides an input image into H, S and V components to extract finer details. For each of the color spaces, the proposed approach generates two directional coherence images based on Eigen value analysis and gradient distribution, which results in enhanced …
Binary Black Hole Information Loss Paradox And Future Prospects, Ayan Mitra, Pritam Chattopadhyay, Goutam Paul, Vasileios Zarikas
Binary Black Hole Information Loss Paradox And Future Prospects, Ayan Mitra, Pritam Chattopadhyay, Goutam Paul, Vasileios Zarikas
Journal Articles
Various techniques to tackle the black hole information paradox have been proposed. A new way out to tackle the paradox is via the use of a pseudo-density operator. This approach has successfully dealt with the problem with a two-qubit entangle system for a single black hole. In this paper, we present the interaction with a binary black hole system by using an arrangement of the three-qubit system of Greenberger–Horne–Zeilinger (GHZ) state. We show that our results are in excellent agreement with the theoretical value. We have also studied the interaction between the two black holes by considering the correlation between …
Application Of Random Forest And Data Integration Identifies Three Dysregulated Genes And Enrichment Of Central Carbon Metabolism Pathway In Oral Cancer, Srija Mukhopadhyay, Sahana Ghosh, Debodipta Das, P. Arun, Bidyut Roy, Nidhan K. Biswas, Arindam Maitra, Partha P. Majumder
Application Of Random Forest And Data Integration Identifies Three Dysregulated Genes And Enrichment Of Central Carbon Metabolism Pathway In Oral Cancer, Srija Mukhopadhyay, Sahana Ghosh, Debodipta Das, P. Arun, Bidyut Roy, Nidhan K. Biswas, Arindam Maitra, Partha P. Majumder
Journal Articles
Background: Studies of epigenomic alterations associated with diseases primarily focus on methylation profiles of promoter regions of genes, but not of other genomic regions. In our past work (Das et al. 2019) on patients suffering from gingivo-buccal oral cancer – the most prevalent form of cancer among males in India – we have also focused on promoter methylation changes and resultant impact on transcription profiles. Here, we have investigated alterations in non-promoter (gene-body) methylation profiles and have carried out an integrative analysis of gene-body methylation and transcriptomic data of oral cancer patients. Methods: Tumor and adjacent normal tissue samples were …
Gait And Balance Disturbances Are Common In Young Urbanites And Associated With Cognitive Impairment. Air Pollution And The Historical Development Of Alzheimer's Disease In The Young, Lilian Calderón-Garcidueñas, Ana Karen Torres-Solorio, Randy J. Kulesza, Ricardo Torres-Jardón, Luis Oscar González-González, Berenice García-Arreola, Diana A. Chávez-Franco, Samuel C. Luévano-Castro, Ariatna Hernández-Castillo, Esperanza Carlos-Hernández, Edelmira Solorio-López, Celia Nohemí Crespo-Cortés, Edgar García-Rojas, Partha S. Mukherjee, Martha Morales-Aguirre
Gait And Balance Disturbances Are Common In Young Urbanites And Associated With Cognitive Impairment. Air Pollution And The Historical Development Of Alzheimer's Disease In The Young, Lilian Calderón-Garcidueñas, Ana Karen Torres-Solorio, Randy J. Kulesza, Ricardo Torres-Jardón, Luis Oscar González-González, Berenice García-Arreola, Diana A. Chávez-Franco, Samuel C. Luévano-Castro, Ariatna Hernández-Castillo, Esperanza Carlos-Hernández, Edelmira Solorio-López, Celia Nohemí Crespo-Cortés, Edgar García-Rojas, Partha S. Mukherjee, Martha Morales-Aguirre
Journal Articles
To determine whether gait and balance dysfunction are present in young urbanites exposed to fine particular matter PM2.5 ≥ annual USEPA standard, we tested gait and balance with Tinetti and Berg tests in 575 clinically healthy subjects, age 21.0 ± 5.7 y who were residents in Metropolitan Mexico City, Villahermosa and Reynosa. The Montreal Cognitive Assessment was also applied to an independent cohort n:76, age 23.3 ± 9.1 y. In the 575 cohort, 75.4% and 34.4% had abnormal total Tinetti and Berg scores and high risk of falls in 17.2% and 5.7% respectively. BMI impacted negatively Tinetti and Berg performance. …
C R Rao And Mahalanobis’ Distance, Probal Chaudhuri
C R Rao And Mahalanobis’ Distance, Probal Chaudhuri
Journal Articles
C R Rao has made seminal contributions in many areas in statistics. A review of some of his fundamental contributions towards the development of the theory and application of Mahalanobis distance in classification problems is presented here. The review is based on information provided in some of Rao’s famous research and autobiographical papers.
Codc: A Copula-Based Model To Identify Differential Coexpression, Sumanta Ray, Snehalika Lall, Sanghamitra Bandyopadhyay
Codc: A Copula-Based Model To Identify Differential Coexpression, Sumanta Ray, Snehalika Lall, Sanghamitra Bandyopadhyay
Journal Articles
Differential coexpression has recently emerged as a new way to establish a fundamental difference in expression pattern among a group of genes between two populations. Earlier methods used some scoring techniques to detect changes in correlation patterns of a gene pair in two conditions. However, modeling differential coexpression by means of finding differences in the dependence structure of the gene pair has hitherto not been carried out. We exploit a copula-based framework to model differential coexpression between gene pairs in two different conditions. The Copula is used to model the dependency between expression profiles of a gene pair. For a …
Birth Interval And Childhood Undernutrition: Evidence From A Large Scale Survey In India, Holendro Singh Chungkham, Harihar Sahoo, Strong P. Marbaniang
Birth Interval And Childhood Undernutrition: Evidence From A Large Scale Survey In India, Holendro Singh Chungkham, Harihar Sahoo, Strong P. Marbaniang
Journal Articles
Background: The study of birth interval is important for maternal and child health. The long birth interval is favorable for maternal, child health, and nutritional outcomes. The present study is an attempt to explore the relationship between birth intervals and poor nutritional condition of children under five years of age in India. Methods: The unit of analysis is children under five years of age in India. The data come from the fourth round of Indian National Family Health Survey, 2015–2016. Bivariate and logistic regression model were used to explore the relationship between birth intervals and the poor nutritional status of …
Dysbiotic Lesional Microbiome With Filaggrin Missense Variants Associate With Atopic Dermatitis In India, Shankha Nath, Naina Kumari, Debabrata Bandyopadhyay, Neloy Sinha, Partha P. Majumder, Rupak Mitra, Souvik Mukherjee
Dysbiotic Lesional Microbiome With Filaggrin Missense Variants Associate With Atopic Dermatitis In India, Shankha Nath, Naina Kumari, Debabrata Bandyopadhyay, Neloy Sinha, Partha P. Majumder, Rupak Mitra, Souvik Mukherjee
Journal Articles
Background: Atopic Dermatitis (AD) has been associated with the loss of function (LoF) mutations in Filaggrin (FLG) gene and increase in relative abundance of specific microbes in the lesional skin, predominantly in Caucasians. Our study aims to determine, in Indian AD patients, (a) the prevalence of FLG LoF and missense mutations, and (b) the nature and extent of dysbiosis and altered microbial pathways with and without mutations in FLG. AD patients (n = 34) and healthy controls (n = 54) were recruited from India in this study and shotgun sequencing was carried out in a subset of samples with adequate …
Efficient Elliptic Curve Diffie-Hellman Computation At The 256-Bit Security Level, Kaushik Nath, Palash Sarkar
Efficient Elliptic Curve Diffie-Hellman Computation At The 256-Bit Security Level, Kaushik Nath, Palash Sarkar
Journal Articles
In this study, the authors introduce new Montgomery and Edwards form elliptic curves targeted at the 256-bit security level. To this end, they work with three primes, namely p1:= 2506 − 45, p2:= 2510 − 75 and p3:= 2521 − 1. While p3 has been considered earlier in the literature, p1 and p2 are new. They define a pair of birationally equivalent Montgomery and Edwards form curves over all the three primes. Efficient 64-bit assembly implementations targeted at Skylake and later generation Intel processors have been made for the shared secret computation phase of the Diffie-Hellman key agreement protocol for …
Characterizations Of Sars-Cov-2 Mutational Profile, Spike Protein Stability And Viral Transmission, Sayantan Laha, Joyeeta Chakraborty, Shantanab Das, Soumen Kanti Manna, Sampa Biswas, Raghunath Chatterjee
Characterizations Of Sars-Cov-2 Mutational Profile, Spike Protein Stability And Viral Transmission, Sayantan Laha, Joyeeta Chakraborty, Shantanab Das, Soumen Kanti Manna, Sampa Biswas, Raghunath Chatterjee
Journal Articles
The recent pandemic of SARS-CoV-2 infection has affected more than 3.0 million people worldwide with more than 200 thousand reported deaths. The SARS-CoV-2 genome has the capability of gaining rapid mutations as the virus spreads. Whole-genome sequencing data offers a wide range of opportunities to study mutation dynamics. The advantage of an increasing amount of whole-genome sequence data of SARS-CoV-2 intrigued us to explore the mutation profile across the genome, to check the genome diversity, and to investigate the implications of those mutations in protein stability and viral transmission. We have identified frequently mutated residues by aligning ~660 SARS-CoV-2 genomes …
3d Reconstruction Of Spine Image From 2d Mri Slices Along One Axis, Somoballi Ghoshal, Sourav Banu, Amlan Chakrabarti, Susmita Sur-Kolay, Alok Pandit
3d Reconstruction Of Spine Image From 2d Mri Slices Along One Axis, Somoballi Ghoshal, Sourav Banu, Amlan Chakrabarti, Susmita Sur-Kolay, Alok Pandit
Journal Articles
Magnetic resonance imaging (MRI) is a very effective method for identifying any abnormality in the structure and physiology of the spine. However, MRI is time consuming as well as costly. In this work, the authors propose an algorithm which can reduce the time of MRI and thus the cost, with minimal compromise on accuracy. They reconstruct a three-dimensional (3D) image of the spine from a sequence of 2D MRI slices along any one axis with reasonable slice gap. In order to preserve the image at the edges properly, they regenerate the 3D image by using a combination of bicubic and …
Editorial, B. Sury
Assessment Of Lockdown Effect In Some States And Overall India: A Predictive Mathematical Study On Covid-19 Outbreak, Tridip Sardar, Sk Shahid Nadim, Sourav Rana, Joydev Chattopadhyay
Assessment Of Lockdown Effect In Some States And Overall India: A Predictive Mathematical Study On Covid-19 Outbreak, Tridip Sardar, Sk Shahid Nadim, Sourav Rana, Joydev Chattopadhyay
Journal Articles
In the absence of neither an effective treatment or vaccine and with an incomplete understanding of the epidemiological cycle, Govt. has implemented a nationwide lockdown to reduce COVID-19 transmission in India. To study the effect of social distancing measure, we considered a new mathematical model on COVID-19 that incorporates lockdown effect. By validating our model to the data on notified cases from five different states and overall India, we estimated several epidemiologically important parameters as well as the basic reproduction number (R0). Combining the mechanistic mathematical model with different statistical forecast models, we projected notified cases in the six locations …
Climatic Influence On The Growth Pattern Of Panthasaurus Maleriensis From The Late Triassic Of India Deduced From Paleohistology, Elżbieta M. Teschner, Sanjukta Chakravorti, Dhurjati P. Sengupta, Dorota Konietzko-Meier
Climatic Influence On The Growth Pattern Of Panthasaurus Maleriensis From The Late Triassic Of India Deduced From Paleohistology, Elżbieta M. Teschner, Sanjukta Chakravorti, Dhurjati P. Sengupta, Dorota Konietzko-Meier
Journal Articles
Metoposaurids are representatives of the extinct amphibian clade Temnospondyli, found on almost every continent exclusively in the Late Triassic deposits. Osteohistologically, it is one of the best-known temnospondyl groups, analyzed with a wide spectrum of methods, such as morphology, morphometry, bone histology or computed modelling. The least known member of Metoposauridae is Panthasaurus maleriensis from the Pranhita-Godavari basin in Central India, being geographically the most southern record of this family. For the first time the bone histology of this taxon was studied with a focus on the intraspecific variability of the histological framework and the relationship between the observed growth …
Combined Utility Of 25 Disease And Risk Factor Polygenic Risk Scores For Stratifying Risk Of All-Cause Mortality, Allison Meisner, Prosenjit Kundu, Yan Dora Zhang, Lauren V. Lan, Sungwon Kim, Disha Ghandwani, Parichoy Pal Choudhury, Sonja I. Berndt, Neal D. Freedman, Montserrat Garcia-Closas, Nilanjan Chatterjee
Combined Utility Of 25 Disease And Risk Factor Polygenic Risk Scores For Stratifying Risk Of All-Cause Mortality, Allison Meisner, Prosenjit Kundu, Yan Dora Zhang, Lauren V. Lan, Sungwon Kim, Disha Ghandwani, Parichoy Pal Choudhury, Sonja I. Berndt, Neal D. Freedman, Montserrat Garcia-Closas, Nilanjan Chatterjee
Journal Articles
While genome-wide association studies have identified susceptibility variants for numerous traits, their combined utility for predicting broad measures of health, such as mortality, remains poorly understood. We used data from the UK Biobank to combine polygenic risk scores (PRS) for 13 diseases and 12 mortality risk factors into sex-specific composite PRS (cPRS). These cPRS were moderately associated with all-cause mortality in independent data within the UK Biobank: the estimated hazard ratios per standard deviation were 1.10 (95% confidence interval: 1.05, 1.16) and 1.15 (1.10, 1.19) for women and men, respectively. Differences in life expectancy between the top and bottom 5% …
Exposure To Open Defecation Can Account For The Indian Enigma Of Child Height, Dean Spears
Exposure To Open Defecation Can Account For The Indian Enigma Of Child Height, Dean Spears
Journal Articles
Physical height is an important measure of human capital. However, differences in average height across developing countries are poorly explained by economic differences. Children in India are shorter than poorer children in Africa, a widely studied puzzle called “the Asian enigma.” This paper proposes and quantitatively investigates the hypothesis that differences in sanitation — and especially in the population density of open defecation — can statistically account for an important component of the Asian enigma, India's gap relative to sub-Saharan Africa. The paper's main result computes a demographic projection of the increase in the average height of Indian children, if …
Altmetrics Research Progress: A Bibliometric Analysis And Visualization, Prashant Kumar Sinha, Subhranshu Bhushan Sahoo, Sagar Bhimrao Gajbe, Kanu Chakrabory, Shiva Shankar Mahato
Altmetrics Research Progress: A Bibliometric Analysis And Visualization, Prashant Kumar Sinha, Subhranshu Bhushan Sahoo, Sagar Bhimrao Gajbe, Kanu Chakrabory, Shiva Shankar Mahato
Journal Articles
The present study explores the altmetrics research area through bibliometric analysis and visualization. For the investigation of research material Scopus database was chosen, to obtain the bibliographic data. The search in database resulted in 973 documents. The data was obtained in CSV file format and for the basic data processing excel was used whereas for the visualization network VOSviewer software was employed. The investigation revealed that around 30.34% documents have open access. The major document type was articles (65.05%), with journals (81.39%) as major sources for document and English (92.70%) as the dominant language for documents. The research also revealed …
Improved Simd Implementation Of Poly1305, Sreyosi Bhattacharyya, Palash Sarkar
Improved Simd Implementation Of Poly1305, Sreyosi Bhattacharyya, Palash Sarkar
Journal Articles
Poly1305 is a polynomial hash function designed by Bernstein in 2005. Presently, it is part of several major platforms, including the Transport Layer Security protocol. Vectorised implementation of Poly1305 was proposed by Goll and Gueron in 2015. The authors provide some simple algorithmic improvements to the Goll-Gueron vectorisation strategy. Implementation of the modified strategy on modern Intel processors shows marked improvements in speed for short messages.
Chimera-Like Behavior In A Heterogeneous Kuramoto Model: The Interplay Between Attractive And Repulsive Coupling, Nikita Frolov, Vladimir Maksimenko, Soumen Majhi, Sarbendu Rakshit, Dibakar Ghosh, Alexander Hramov
Chimera-Like Behavior In A Heterogeneous Kuramoto Model: The Interplay Between Attractive And Repulsive Coupling, Nikita Frolov, Vladimir Maksimenko, Soumen Majhi, Sarbendu Rakshit, Dibakar Ghosh, Alexander Hramov
Journal Articles
Interaction within an ensemble of coupled nonlinear oscillators induces a variety of collective behaviors. One of the most fascinating is a chimera state that manifests the coexistence of spatially distinct populations of coherent and incoherent elements. Understanding of the emergent chimera behavior in controlled experiments or real systems requires a focus on the consideration of heterogeneous network models. In this study, we explore the transitions in a heterogeneous Kuramoto model under the monotonical increase of the coupling strength and specifically find that this system exhibits a frequency-modulated chimera-like pattern during the explosive transition to synchronization. We demonstrate that this specific …
Change Detection In Multispectral Remote Sensing Images With Leader Intelligence Pso And Nsct Feature Fusion, Josephina Paul, B. Uma Shankar, Balaram Bhattacharyya
Change Detection In Multispectral Remote Sensing Images With Leader Intelligence Pso And Nsct Feature Fusion, Josephina Paul, B. Uma Shankar, Balaram Bhattacharyya
Journal Articles
Change detection (CD) using Remote sensing images have been a challenging problem over the years. Particularly in the unsupervised domain it is even more difficult. A novel automatic change detection technique in the unsupervised framework is proposed to address the real challenges involved in remote sensing change detection. As the accuracy of change map is highly dependent on quality of difference image (DI), a set of Normalized difference images and a complementary set of Normalized Ratio images are fused in the Nonsubsampled Contourlet Transform (NSCT) domain to generate high quality difference images. The NSCT is chosen as it is efficient …
Estimating Gene Expression From Dna Methylation And Copy Number Variation: A Deep Learning Regression Model For Multi-Omics Integration, Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De
Estimating Gene Expression From Dna Methylation And Copy Number Variation: A Deep Learning Regression Model For Multi-Omics Integration, Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De
Journal Articles
Gene expression analysis plays a significant role for providing molecular insights in cancer. Various genetic and epigenetic factors (being dealt under multi-omics) affect gene expression giving rise to cancer phenotypes. A recent growth in understanding of multi-omics seems to provide a resource for integration in interdisciplinary biology since they altogether can draw the comprehensive picture of an organism's developmental and disease biology in cancers. Such large scale multi-omics data can be obtained from public consortium like The Cancer Genome Atlas (TCGA) and several other platforms. Integrating these multi-omics data from varied platforms is still challenging due to high noise and …
In Search Of Trustworthy And Transparent Intelligent Systems With Human-Like Cognitive And Reasoning Capabilities, Nikhil R. Pal
In Search Of Trustworthy And Transparent Intelligent Systems With Human-Like Cognitive And Reasoning Capabilities, Nikhil R. Pal
Journal Articles
At present we are witnessing a tremendous interest in Artificial Intelligence (AI), particularly in Deep Learning (DL)/Deep Neural Networks (DNNs). One of the reasons appears to be the unmatched performance achieved by such systems. This has resulted in an enormous hope on such techniques and often these are viewed as all—cure solutions. But most of these systems cannot explain why a particular decision is made (black box) and sometimes miserably fail in cases where other systems would not. Consequently, in critical applications such as healthcare and defense practitioners do not like to trust such systems. Although an AI system is …
Fusenet: Fused Squeeze-And-Excitation Network For Spectral-Spatial Hyperspectral Image Classification, Swalpa Kumar Roy, Shiv Ram Dubey, Subhrasankar Chatterjee, Bidyut Baran Chaudhuri
Fusenet: Fused Squeeze-And-Excitation Network For Spectral-Spatial Hyperspectral Image Classification, Swalpa Kumar Roy, Shiv Ram Dubey, Subhrasankar Chatterjee, Bidyut Baran Chaudhuri
Journal Articles
Deep learning-based approaches have become very prominent in recent years due to its outstanding performance as compared to the hand-extracted feature-based methods. Convolutional neural network (CNN) is a type of deep learning architecture to deal with the image/video data. Residual network and squeeze and excitation network (SENet) are among recent developments in CNN for image classification. However, the performance of SENet depends on the squeeze operation done by global pooling, which sometimes may lead to poor performance. In this study, the authors propose a bilinear fusion mechanism over different types of squeeze operation such as global pooling and max pooling. …
A Novel Hotspot And Rare Somatic Mutation P.A138v, At Tp53 Is Associated With Poor Survival Of Pancreatic Ductal And Periampullary Adenocarcinoma Patients, Gourab Saha, Richa Singh, Argha Mandal, Subrata Das, Esita Chattopadhyay, Prasun Panja, Paromita Roy, Navonil Desarkar, Sumit Gulati, Supriyo Ghatak, Shibajyoti Ghosh, Sudeep Banerjee, Bidyut Roy, Saurabh Ghosh, Dipankar Chaudhuri
A Novel Hotspot And Rare Somatic Mutation P.A138v, At Tp53 Is Associated With Poor Survival Of Pancreatic Ductal And Periampullary Adenocarcinoma Patients, Gourab Saha, Richa Singh, Argha Mandal, Subrata Das, Esita Chattopadhyay, Prasun Panja, Paromita Roy, Navonil Desarkar, Sumit Gulati, Supriyo Ghatak, Shibajyoti Ghosh, Sudeep Banerjee, Bidyut Roy, Saurabh Ghosh, Dipankar Chaudhuri
Journal Articles
Background: Pancreatic Ductal Adenocarcinoma (PDAC) is a cancer of the exocrine pancreas and 5-year survival rates remain constant at 7%. Along with PDAC, Periampullary Adenocarcinoma (PAC) accounts for 0.5-2% of all gastrointestinal malignancies. Genomic observations were well concluded for PDAC and PACs in western countries but no reports are available from India till now. Methods: Targeted Next Generation Sequencing were performed in 8 (5 PDAC and 3 PAC) tumour normal pairs, using a panel of 412 cancer related genes. Primary findings were replicated in 85 tumour samples (31 PDAC and 54 PAC) using the Sanger sequencing. Mutations were also validated …
Disease Control Through Removal Of Population Using Z-Control Approach, Abhishek Senapati, Pijush Panday, Sudip Samanta, Joydev Chattopadhyay
Disease Control Through Removal Of Population Using Z-Control Approach, Abhishek Senapati, Pijush Panday, Sudip Samanta, Joydev Chattopadhyay
Journal Articles
Present study considers the situation where the removal of population is adopted as a prevention measure for isolating the susceptible population from an infected region to reduce the disease prevalence. To investigate the scenario, a dynamic error based method, Z-type control is applied in an SI type disease model with the aim of achieving a predetermined disease prevalence. The controlled system is designed by introducing a new compartment (the population in an infection-free region) in the uncontrolled system to capture the removal of susceptible population from the infected region to an infection free region. By performing numerical simulations, our study …
Emergence Of Mixed Mode Oscillations In Random Networks Of Diverse Excitable Neurons: The Role Of Neighbors And Electrical Coupling, Subrata Ghosh, Argha Mondal, Peng Ji, Arindam Mishra, Syamal K. Dana, Chris G. Antonopoulos, Chittaranjan Hens
Emergence Of Mixed Mode Oscillations In Random Networks Of Diverse Excitable Neurons: The Role Of Neighbors And Electrical Coupling, Subrata Ghosh, Argha Mondal, Peng Ji, Arindam Mishra, Syamal K. Dana, Chris G. Antonopoulos, Chittaranjan Hens
Journal Articles
In this paper, we focus on the emergence of diverse neuronal oscillations arising in a mixed population of neurons with different excitability properties. These properties produce mixed mode oscillations (MMOs) characterized by the combination of large amplitudes and alternate subthreshold or small amplitude oscillations. Considering the biophysically plausible, Izhikevich neuron model, we demonstrate that various MMOs, including MMBOs (mixed mode bursting oscillations) and synchronized tonic spiking appear in a randomly connected network of neurons, where a fraction of them is in a quiescent (silent) state and the rest in self-oscillatory (firing) states. We show that MMOs and other patterns of …