Bitcoin price prediction using ensembles of neural networks

E Sin, L Wang - 2017 13th International conference on natural …, 2017 - ieeexplore.ieee.org
This paper explores the relationship between the features of Bitcoin and the next day
change in the price of Bitcoin using an Artificial Neural Network ensemble approach called …

Advanced machine learning model for prediction of drought indices using hybrid SVR-RSM

J Piri, M Abdolahipour, B Keshtegar - Water Resources Management, 2023 - Springer
Drought, as a phenomenon that causes significant damage to agriculture and water
resources, has increased across the globe due to climate change. Hence, scientists are …

Human walking gait classification utilizing an artificial neural network for the ergonomics study of lower limb prosthetics

FT Putri, W Caesarendra, G Królczyk, A Glowacz… - Prosthesis, 2023 - mdpi.com
Prosthetics and orthotics research, studies, and technologies have been evolving through
the years. According to World Health Organization (WHO) data, it is estimated that, globally …

A survey on intermediation architectures for underwater robotics

X Li, JF Martínez, J Rodríguez-Molina, NL Martínez - Sensors, 2016 - mdpi.com
Currently, there is a plethora of solutions regarding interconnectivity and interoperability for
networked robots so that they will fulfill their purposes in a coordinated manner. In addition …

[HTML][HTML] Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network

MM Abdelsalam - Informatics in Medicine Unlocked, 2020 - Elsevier
Background Diabetic retinopathy (DR) refers to the ocular effect of diabetes. It is one of the
retinal vascular diseases that can cause loss of vision. DR leads to alterations in vascular …

Cancer cell profiling using image moments and neural networks with model agnostic explainability: A case study of breast cancer histopathological (BreakHis) …

D Kaplun, A Krasichkov, P Chetyrbok, N Oleinikov… - Mathematics, 2021 - mdpi.com
With the evolution of modern digital pathology, examining cancer cell tissues has paved the
way to quantify subtle symptoms, for example, by means of image staining procedures using …

[HTML][HTML] Entropy generation analysis and simulation of turbulent forced convection around tube with integral wake splitter using artificial neural network approach

MA El Bouz, AMA Ibrahim, MM Abdelsalam… - Alexandria Engineering …, 2023 - Elsevier
This paper deals with the investigations on entropy generation around a circular plain tube
with integral downstream splitter plates with cross flow of air in a rectangular duct. This study …

A dynamic route-planning system based on industry 4.0 technology

D Nguyen Duc, T Tran Huu, N Nananukul - Algorithms, 2020 - mdpi.com
Due to the availability of Industry 4.0 technology, the application of big data analytics to
automated systems is possible. The distribution of products between warehouses or within a …

Rust disease classification using deep learning based algorithm: the case of wheat

S Sood, H Singh, S **dal… - Food Systems …, 2022 - books.google.com
Rusts are plant diseases caused by obligate fungi parasites. They are usually host-specific
and cause greater losses of yields in crops, trees, and ornamental plants. Wheat is a staple …

A low-cost and portable device for measuring spectrum of light source as a stimulus for the human's circadian system

A Amirazar, M Azarbayjani, M Molavi, M Karami - Energy and Buildings, 2021 - Elsevier
This study developed a low-cost, portable and wireless spectrometer to measure Spectral
Power Distributions (SPD) of light sources with a resolution of 3.5 nm in the visible spectrum …