Research Reports on Computer Science, Volume 1 Issue 1 (2021)

Open Access Article

Learning Pinball TWSVM efficiently using Privileged Information and their applications

by Reshma Rastogi, Aman Pal, Suresh Chandra

ABSTRACT: In any learning framework, an expert knowledge always plays a crucial role. But, in the field of machine learning, the knowledge offered by an expert is rarely used. Moreover, machine learning...

Open Access Article

Digital Simulations for Three-dimensional Nonlinear Advection-diffusion Equations Using Quasi-variable Meshes High-resolution Implicit Compact Scheme

by Navnit Jha, Ping Lin

ABSTRACT: A two-level implicit compact formulation with quasi-variable meshes is reported for solving three-dimensions second-order nonlinear parabolic partial differential equations. The new nineteen-point...

Open Access Article

Hybridization of Convolutional Neural Networks with Wavelet Architecture for COVID-19 Detection

by R. Manavalan, S. Priya

ABSTRACT: Coronavirus disease is an infectious disease caused by perilous viruses. According to the World Health Organization (WHO) updated reports, the number of people infected with Coronavirus-2019...

Open Access Article

A Simple and Efficient Technique to Generate Bounded Solutions for the Generalized Assignment Problem: A Guide for OR Practitioners

by Francis J. Vasko, Anthony Dellinger, Yun Lu, Bryan McNally, Myung Soon Song

ABSTRACT: The generalized assignment problem (GAP) is a NP-hard problem that has a large and varied number of important applications in business and industry. Approximate solution approaches for the GAP do...

Open Access Article

Linked List Elimination from Hashing Methods

by Mahmoud Naghibzadeh, Bahram Naghibzadeh

ABSTRACT: Hashing has been used for decades in many fields such as encryption, password verification, and pattern search. Hash systems consist mainly of three components: the hash function, the hash table,...

Open Access Article

Multi-label Minimax Probability Machine with Multi-manifold Regularisation

by Sambhav Jain, Reshma Rastogi

ABSTRACT: Semi-supervised learning i.e., learning from a large number of unlabelled data and exploiting a small percentage of labelled data has attracted centralised attention in recent years....