This paper aims to investigate the control of a quadrotor by PID controller. The mathematical
model is derived from Euler–Lagrange approach. Due to nonlinearities, coupling and under …

This article describes how with the advent of sensors for collecting environmental data,
many sensor ontologies have been developed. However, the heterogeneity of sensor …

Abstract The Support Vector Machine (SVM) is one of the most powerful algorithms for
machine learning and data mining in numerous and heterogenous application domains …

Interactions among people have substantially changed since the emergence of social
networks, the expansion of the Internet and the proliferation of connected mobile devices …

Ontologies have emerged to establish a well-defined meaning for information, solving
problems of heterogeneity in data semantics and facilitating the process of information …

Prior studies in Wireless Sensor Network (WSN) optimization mostly concentrate on
maximizing network coverage and minimizing network energy consumption. However, there …

Quantum machine learning is a research area that explores the interplay of ideas from
quantum computing and machine learning to speed up the time it takes to train or evaluate a …

Ontology alignment is a fundamental task to reconcile the heterogeneity among various
information systems using distinct information sources. The evolutionary algorithms (EAs) …

Aligning time series of different sampling rates is an important but challenging task. Current
commonly used dynamic time warping methods usually suffer from pathological temporal …

Simple Summary Biomedical ontology matching is a large-scale multi-modal multi-objective
optimization problem with sparse Pareto optimal solutions. To effectively address this …