A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and …
Ensembles, especially ensembles of decision trees, are one of the most popular and
successful techniques in machine learning. Recently, the number of ensemble-based …
successful techniques in machine learning. Recently, the number of ensemble-based …
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on chest X-ray images
S Tabik, A Gómez-Ríos… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Currently, Coronavirus disease (COVID-19), one of the most infectious diseases in the 21st
century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images …
century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images …
Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms …
F Bagherzadeh, MJ Mehrani, M Basirifard… - Journal of Water Process …, 2021 - Elsevier
Wastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa. ai FL framework and methodological guidelines for preserving data privacy
The high demand of artificial intelligence services at the edges that also preserve data
privacy has pushed the research on novel machine learning paradigms that fit these …
privacy has pushed the research on novel machine learning paradigms that fit these …
Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
F Bagherzadeh, AS Nouri, MJ Mehrani… - Process Safety and …, 2021 - Elsevier
Abstract Treatment of municipal wastewater to meet the stringent effluent quality standards is
an energy-intensive process and the main contributor to the costs of wastewater treatment …
an energy-intensive process and the main contributor to the costs of wastewater treatment …
Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology
DK Nguyen, G Sermpinis… - European Financial …, 2023 - Wiley Online Library
This paper uses a multidimensional descriptive analysis to familiarize the reader with the
extent of penetration of big data, artificial intelligence (AI) and machine learning (ML) …
extent of penetration of big data, artificial intelligence (AI) and machine learning (ML) …
[HTML][HTML] Voice analytics in business research: Conceptual foundations, acoustic feature extraction, and applications
C Hildebrand, F Efthymiou, F Busquet… - Journal of Business …, 2020 - Elsevier
Recent advances in artificial intelligence and natural language processing are gradually
transforming how humans search, shop, and express their preferences. Leveraging the new …
transforming how humans search, shop, and express their preferences. Leveraging the new …
Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning
Abstract Land-Use and Land-Cover (LULC) mapping is relevant for many applications, from
Earth system and climate modelling to territorial and urban planning. Global LULC products …
Earth system and climate modelling to territorial and urban planning. Global LULC products …
Statistical techniques in precision metrology, applications and best practices
AK Adeleke, DJP Montero, KA Olu-lawal… - Engineering Science & …, 2024 - fepbl.com
Statistical techniques play a pivotal role in precision metrology, ensuring accurate
measurements and reliable data analysis in various industries. This review delves into the …
measurements and reliable data analysis in various industries. This review delves into the …
Adversarial Attacks on Deep Neural Network: Developing Robust Models Against Evasion Technique
In the fast-paced field of machine learning, it is important to build agile models that can
correctly classify data in the face of enemy attacks. This paper explores the field of …
correctly classify data in the face of enemy attacks. This paper explores the field of …