Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

An intelligent bionic algorithm with great global optimization potential, the genetic algorithm
evolved in a manner analogous to the natural process of genetic evolution in living …

Metaheuristic optimization algorithms are one of the most effective methods for solving
complex engineering problems. However, the performance of a metaheuristic algorithm is …

Predictive maintenance (PdM) is a prominent anomaly prediction strategy in the
manufacturing system given the increasing need to minimize downtime and economic …

A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …

Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …

Differential evolution (DE) is a popular optimization algorithm with easy implementation and
fast convergence rate. For evolutionary algorithms such as DE, the initialization process of …

Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Optimisation-based methods are enormously used in the field of data classification. Particle
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …

Single image super-resolution is an ill-posed problem, whose purpose is to acquire a high-
resolution image from its degraded observation. Existing deep learning-based methods are …