b'Sandeep Kumar'

research

∙ 05/18/2023

Free Lunch for Privacy Preserving Distributed Graph Learning

Learning on graphs is becoming prevalent in a wide range of applications...

0 Nimesh Agrawal, et al. ∙

research

∙ 12/10/2022

Forecasting formation of a Tropical Cyclone Using Reanalysis Data

The tropical cyclone formation process is one of the most complex natura...

11 Sandeep Kumar, et al. ∙

research

∙ 09/16/2022

Decentralized and stable matching in Peer-to-Peer energy trading

In peer-to-peer (P2P) energy trading, a secured infrastructure is requir...

0 Nitin Singha, et al. ∙

research

∙ 08/18/2022

On the Integral and Derivative Identities of Bivariate Fox H-Function: Application in Wireless System Performance Analysis

The present work proposes analytical solutions for the integral of bivar...

0 Puspraj Singh Chauhan, et al. ∙

research

∙ 08/03/2022

Robust Graph Neural Networks using Weighted Graph Laplacian

Graph neural network (GNN) is achieving remarkable performances in a var...

0 Bharat Runwal, et al. ∙

research

∙ 06/17/2022

Parallel Multiphysics Simulation for the Stabilized Optimal Transportation Meshfree (OTM)

This paper presents a parallel implementation for the Optimal Transporta...

0 Sandeep Kumar, et al. ∙

research

∙ 05/13/2022

A Comprehensive Benchmark Suite for Intel SGX

Trusted execution environments (TEEs) such as facilitate the secure exec...

0 Sandeep Kumar, et al. ∙

research

∙ 11/08/2021

SMU: smooth activation function for deep networks using smoothing maximum technique

Deep learning researchers have a keen interest in proposing two new nove...

0 Koushik Biswas, et al. ∙

research

∙ 09/27/2021

SAU: Smooth activation function using convolution with approximate identities

Well-known activation functions like ReLU or Leaky ReLU are non-differen...

0 Koushik Biswas, et al. ∙

research

∙ 09/09/2021

ErfAct and PSerf: Non-monotonic smooth trainable Activation Functions

An activation function is a crucial component of a neural network that i...

0 Koushik Biswas, et al. ∙

research

∙ 07/07/2021

Tropical cyclone intensity estimations over the Indian ocean using Machine Learning

Tropical cyclones are one of the most powerful and destructive natural p...

0 Koushik Biswas, et al. ∙

research

∙ 07/07/2021

Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network

Tropical cyclones can be of varied intensity and cause a huge loss of li...

0 Koushik Biswas, et al. ∙

research

∙ 03/30/2021

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone

The prediction of the intensity, location and time of the landfall of a ...

0 Sandeep Kumar, et al. ∙

research

∙ 03/30/2021

Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data

Landfall of a tropical cyclone is the event when it moves over the land ...

0 Sandeep Kumar, et al. ∙

research

∙ 03/16/2021

Page Table Management for Heterogeneous Memory Systems

Modern enterprise servers are increasingly embracing tiered memory syste...

0 Sandeep Kumar, et al. ∙

research

∙ 10/22/2020

Safe trajectory of a piece moved by a robot

In this work, we propose a mathematical model for a physical problem bas...

0 Ernest Benedito, et al. ∙

research

∙ 10/22/2020

On the Schrödinger map for regular helical polygons in the hyperbolic space

The main purpose is to describe the evolution of = ∧_- , with (s,0) a re...

0 Sandeep Kumar, et al. ∙

research

∙ 09/28/2020

EIS – a family of activation functions combining Exponential, ISRU, and Softplus

Activation functions play a pivotal role in the function learning using ...

6 Koushik Biswas, et al. ∙

research

∙ 09/08/2020

TanhSoft – a family of activation functions combining Tanh and Softplus

Deep learning at its core, contains functions that are composition of a ...

54 Koushik Biswas, et al. ∙

research

∙ 07/09/2020

Vortex Filament Equation for a regular polygon in the hyperbolic plane

The aim of this article is twofold. First, we show the evolution of the ...

0 Francisco de la Hoz, et al. ∙

research

∙ 05/02/2020

A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset

In the last 150 years, CO2 concentration in the atmosphere has increased...

0 Sandeep Kumar, et al. ∙

research

∙ 01/23/2020

Deep Bayesian Network for Visual Question Generation

Generating natural questions from an image is a semantic task that requi...

27 Badri N. Patro, et al. ∙

research

∙ 09/27/2019

Robust Factor Analysis Parameter Estimation

This paper considers the problem of robustly estimating the parameters o...

0 Rui Zhou, et al. ∙

research

∙ 09/24/2019

Structured Graph Learning Via Laplacian Spectral Constraints

Learning a graph with a specific structure is essential for interpretabi...

0 Sandeep Kumar, et al. ∙

research

∙ 09/15/2019

A Vector Space Approach to Generate Dynamic Keys for Hill Cipher

In this paper a variant of the Hill cipher is proposed. In the classical...

0 Sunil Kumar, et al. ∙

research

∙ 09/03/2019

On the Evolution of the Vortex Filament Equation for regular M-polygons with nonzero torsion

In this paper, we consider the evolution of the Vortex Filament equation...

0 Francisco de la Hoz, et al. ∙

research

∙ 08/27/2019

Performance modeling of a distributed file-system

Data centers have become center of big data processing. Most programs ru...

0 Sandeep Kumar, et al. ∙

research

∙ 07/21/2019

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I

In this two-part work, we propose an algorithmic framework for solving n...

0 Sandeep Kumar, et al. ∙

research

∙ 04/22/2019

A Unified Framework for Structured Graph Learning via Spectral Constraints

Graph learning from data represents a canonical problem that has receive...

0 Sandeep Kumar, et al. ∙

research

∙ 03/22/2019

A Comprehensive Performance Evaluation of a DF-Based Multi-Hop System Over α-κ-μ and α-κ-μ-Extreme Fading Channels

In this work, an integrated performance evaluation of a decode-and-forwa...

0 Tau Raphael Rasethuntsa, et al. ∙

research

∙ 09/19/2018

Parameter Estimation of Heavy-Tailed AR Model with Missing Data via Stochastic EM

The autoregressive (AR) model is a widely used model to understand time ...

0 Junyan Liu, et al. ∙

research

∙ 08/12/2018

Multimodal Differential Network for Visual Question Generation

Generating natural questions from an image is a semantic task that requi...

0 Badri N. Patro, et al. ∙

research

∙ 06/03/2018

Learning Semantic Sentence Embeddings using Pair-wise Discriminator

In this paper, we propose a method for obtaining sentence-level embeddin...

0 Badri N. Patro, et al. ∙

research

∙ 05/26/2017

Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm

CPU Scheduling is the base of multiprogramming. Scheduling is a process ...

0 Rajani Kumari, et al. ∙

research

∙ 12/21/2016

Stochastic Multidimensional Scaling

Multidimensional scaling (MDS) is a popular dimensionality reduction tec...

0 Ketan Rajawat, et al. ∙

research

∙ 08/01/2014

Randomized Memetic Artificial Bee Colony Algorithm

Artificial Bee Colony (ABC) optimization algorithm is one of the recent ...

0 Sandeep Kumar, et al. ∙

research

∙ 08/01/2014

Memetic Search in Differential Evolution Algorithm

Differential Evolution (DE) is a renowned optimization stratagem that ca...

0 Sandeep Kumar, et al. ∙

research

∙ 07/22/2014

Improved Onlooker Bee Phase in Artificial Bee Colony Algorithm

Artificial Bee Colony (ABC) is a distinguished optimization strategy tha...

0 Sandeep Kumar, et al. ∙

research

∙ 07/21/2014

A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem

Artificial bee colony (ABC) algorithm has proved its importance in solvi...

0 Sandeep Kumar, et al. ∙

Sandeep Kumar

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