Promoting smart tourism personalised services via a combination of deep learning techniques

A Kontogianni, E Alepis, C Patsakis - Expert Systems with Applications, 2022 - Elsevier
Coronavirus has radically changed the world and our lives in many and various ways.
During this crisis, the tourism sector was severely damaged globally, as, within some weeks …

An improved method based on fuzzy logic with beta parameter for PV MPPT system

R Bisht, A Sikander - Optik, 2022 - Elsevier
The variation in output power of the photovoltaic panel has been observed under varying
temperatures and irradiance. It is important to keep the output power close to the maximum …

Revising the observation satellite scheduling problem based on deep reinforcement learning

Y Huang, Z Mu, S Wu, B Cui, Y Duan - Remote Sensing, 2021 - mdpi.com
Earth observation satellite task scheduling research plays a key role in space-based remote
sensing services. An effective task scheduling strategy can maximize the utilization of …

A new modified artificial bee colony algorithm for energy demand forecasting problem

D Özdemir, S Dörterler, D Aydın - Neural Computing and Applications, 2022 - Springer
The ability to accurately estimate energy consumption in the medium and long term based
on actual indications is critical for countries to plan and prioritize their futures and take the …

Attribute-based neural collaborative filtering

H Chen, F Qian, J Chen, S Zhao, Y Zhang - Expert Systems with …, 2021 - Elsevier
The core task of recommendation systems is to capture user preferences for items. Dot
product operations are usually used to mine user preferences for items. However, the dot …

A transformer fault diagnosis method based on hybrid improved grey wolf optimization and least squares‐support vector machine

Y Wu, X Sun, B Dai, P Yang… - … generation, transmission & …, 2022 - Wiley Online Library
In recent years, support vector machine has been widely used in the field of transformer fault
diagnosis, but its fault diagnosis performance is still to be improved. A power transformer …

Quasi-projective synchronization for Caputo type fractional-order complex-valued neural networks with mixed delays

J Cheng, H Zhang, W Zhang, H Zhang - International Journal of Control …, 2022 - Springer
Without decomposing the complex-valued systems into two real-valued subsystems, this
paper investigates quasi-projective synchronization (QPS) problem for Caputo type …

Analysis of treatment effect of acupuncture on cervical spondylosis and neck pain with the data mining technology under deep learning

H Huo, Y Chang, Y Tang - The Journal of Supercomputing, 2022 - Springer
This study was to explore the value of data mining model in evaluating the treatment effect of
acupuncture on patients with cervical spondylosis (CS) and neck pain. A total of 270 patients …

Towards noninvasive and fast detection of Glycated hemoglobin levels based on ECG using convolutional neural networks with multisegments fusion and Varied …

J Li, J Lu, I Tobore, Y Liu, A Kandwal, L Wang… - Expert Systems with …, 2021 - Elsevier
Glycated hemoglobin A1c (HbA1c) is regarded as a gold standard to evaluate long-term
blood glucose control, and it is also a crucial metric in diabetes screening, diagnosis, and …

A new soft computing-based parameter estimation of solar photovoltaic system

R Bisht, A Sikander - Arabian Journal for Science and Engineering, 2022 - Springer
The rapid increment in energy demand has resulted in advancement in the design of solar
PV system and maximum power point tracking (MPPT) techniques. For estimation of MPP …