A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions

JL Uc-Castillo, AE Marín-Celestino… - … Modelling & Software, 2023 - Elsevier
Accurate and reliable groundwater level (GWL) forecasting is crucial for developing
strategies and managing water resources. In recent years, Machine Learning (ML) has …

A two-step data normalization approach for improving classification accuracy in the medical diagnosis domain

I Izonin, R Tkachenko, N Shakhovska, B Ilchyshyn… - Mathematics, 2022 - mdpi.com
Data normalization is a data preprocessing task and one of the first to be performed during
intellectual analysis, particularly in the case of tabular data. The importance of its …

Digital watermarking as an adversarial attack on medical image analysis with deep learning

KD Apostolidis, GA Papakostas - Journal of Imaging, 2022 - mdpi.com
In the past years, Deep Neural Networks (DNNs) have become popular in many disciplines
such as Computer Vision (CV), and the evolution of hardware has helped researchers to …

Understanding the stress distribution on anatomic customized root-analog dental implant at bone-implant interface for different bone densities

P Nimmawitt, AAA Aliyu, B Lohwongwatana… - Materials, 2022 - mdpi.com
The aim of this study is to assess the stress distribution on the bone tissue and bone-implant
interface of a customized anatomic root-analog dental implant (RAI) by means of finite …

Challenges in implementing low-latency holographic-type communication systems

R Petkova, V Poulkov, A Manolova, K Tonchev - Sensors, 2022 - mdpi.com
Holographic-type communication (HTC) permits new levels of engagement between remote
users. It is anticipated that it will give a very immersive experience while enhancing the …

Enhancing Health and Public Health through Machine Learning: Decision Support for Smarter Choices

PM Rodrigues, JP Madeiro, JAL Marques - Bioengineering, 2023 - mdpi.com
In recent years, the integration of Machine Learning (ML) techniques in the field of
healthcare and public health has emerged as a powerful tool for improving decision-making …

Analyzing the impact of various parameters on job scheduling in the Google cluster dataset

D Shahmirzadi, N Khaledian, AM Rahmani - Cluster Computing, 2024 - Springer
Cloud architecture and its operations interest both general consumers and researchers.
Google, as a technology giant, offers cloud services globally. This paper analyzes the …

Forecasting the Currency Rate of The Indonesian Rupiah (IDR) against the US Dollar (USD) Using Time Series Data and Indonesian Fundamental Data.

LS Moonlight, BB Harianto… - International Journal …, 2023 - search.ebscohost.com
In forecasting foreign currencies, or known as foreign exchange, fundamental analysis and
technical analysis can be used. Fundamental analysis relies on external factors or news …

Formation of a recurrent neural network for the description of IoMT processes in restorative medicine for post-stroke patients

AN Trunov, IM Dronyuk, VS Martynenko… - AI Models for Blockchain …, 2023 - Springer
The successful extension of the growth of 5G net and Wi-Fi devices applied in the healthcare
technologies are considered innovative possibilities for the patients, especially moving from …

An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification

I Al-Hurani, A Alkhateeb, S Ikki - arXiv preprint arXiv:2405.09756, 2024 - arxiv.org
In the relentless efforts in enhancing medical diagnostics, the integration of state-of-the-art
machine learning methodologies has emerged as a promising research area. In molecular …