Knapsack problem is a surely understood class of optimization problems, which tries to
expand the profit of items in a knapsack without surpassing its capacity, Knapsack can be …

Much research and development have been made to implement deep neural networks for
various purposes with hardware. We implement the deep learning algorithm with a …

Nowadays, most users access internet through mobile applications. The common way to
authenticate users through websites forms is using passwords; while they are efficient …

Smart devices adopt different IoT application protocols to achieve interoperability across
various nodes of the IoT network. CoAP and MQTT are two application protocols among a …

Abstract Travelling Salesman Problem (TSP) is one of the most popular NP-complete
problems for the researches in the field of computer science which focused on optimization …

The efficiency of matrix multiplication is a popular research topic given that matrices
compromise large data in computer applications and other fields of study. The proposed …

This study presents a solution to a problem commonly known as link prediction problem.
Link prediction problem interests in predicting the possibility of appearing a connection …

Data warehouses usually have some missing values due to unavailable data that affect the
number and the quality of the generated rules. The missing values could affect the coverage …

Watermarking is a well-known technique traditionally used in banknotes and other
documents to discourage counterfeiting. It usually consists of semi-transparent symbols …

Ant Colony Optimization is a metaheuristic algorithm used for solving complex combinatorial
optimization problems. With inspiring the algorithm implementation by the biological …