Load forecasting with machine learning and deep learning methods

M Cordeiro-Costas, D Villanueva, P Eguía-Oller… - Applied Sciences, 2023 - mdpi.com
Characterizing the electric energy curve can improve the energy efficiency of existing
buildings without any structural change and is the basis for controlling and optimizing …

Feature extraction for artificial intelligence enabled food supply chain failure mode prediction

H Trollman - Discover Food, 2024 - Springer
Abstract The Farm to Fork Strategy of the European Commission is a contingency plan
aimed at always ensuring a sufficient and varied supply of safe, nutritious, affordable, and …

Ontology-based recommender system: a deep learning approach

SJ Gharibi, K BagheriFard, H Parvin, S Nejatian… - The Journal of …, 2024 - Springer
With the massive amount of data available on the Internet, many users face problems when
they need access to the information and goods they need. Adapting information to user …

Arabic Fake News Detection using Ensemble Technique

DH Abd, MF Mahdi, MA Jassim… - 2023 16th International …, 2023 - ieeexplore.ieee.org
Similar to most spoken languages worldwide, Arabic language is facing a significant
problem with the rapid spread of fake information, which requires effective methods to detect …

Gene Disease Classification from Biomedical Text via Ensemble Machine Learning

RF Ghazi, DH Abd - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
Detecting connections between genes and diseases is a vital endeavor in bioinformatics
and genomics, carrying significant implications for the entire comprehension of the …

Feature Selection for Binary Dataset using Dragonfly Algorithm

ZT Raouf, DH Abd - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
In contemporary times, the proliferation of data dimensionality has introduced many
challenges within the realm of machine learning. Consequently, identifying and selecting …

Applying Dragonfly Algorithm for Feature Selection Optimizing in Machine Learning Classification

ZT Raouf, DH Abd - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
Feature selection plays a crucial role in the domain of machine learning, serving as an
essential mission. Eliminating redundant and irrelevant attributes can enhance the learning …

Analyzing Sentiment for Opinion Mining of Large Movie Reviews Using Naive Bayes with Word Frequency

MA Jassim, DH Abd, MN Omri - 2023 16th International …, 2023 - ieeexplore.ieee.org
The sentiment mining field (also known as opinion mining, opinion extraction, sentiment
analysis (SA), sentiment extraction, and so on) has seen significant growth in academia …

Comorbidity Diseases Diagnosis Using Machine Learning Methods and Chi-Square Feature Selection Technique

DM Mukhlif, DH Abd, R Ejbali… - 2023 16th International …, 2023 - ieeexplore.ieee.org
The diagnosis of common diseases, in which people suffer from several bad health
conditions, is a complex medical challenge. This study investigated the use of machine …

Enhancing Sentiment Analysis of Corruption-Related Comments on Social Networks in Ecuador Using Techniques of Machine Learning: LSTM, Linear Regression …

PS Idrovo-Berrezueta, DA Dutan-Sanchez… - … Technology & Systems, 2024 - Springer
This research focuses on obtaining effective models that can predict a person's sentiments
from written messages. While the initially proposed models were within acceptable ranges …