[PDF][PDF] Sentiment Analysis onMoroccan Dialect based on ML and Social Media Content Detection

M Errami, MA Ouassil, R Rachidi, B Cherradi… - 2023 - academia.edu
As technology continues to evolve, humans tend to follow suit, and currently social media
has taken place as the defacto method of communication. As it tends to happen with verbal …

Improving skin diseases prediction through data balancing via classes weighting and transfer learning

O El Gannour, S Hamida, Y Lamalem… - Bulletin of Electrical …, 2024 - beei.org
Skin disease prediction using artificial intelligence has shown great potential in improving
early diagnosis and treatment outcomes. However, the presence of class imbalance within …

[PDF][PDF] An improved fake news detection model using hybrid time frequency-inverse document frequency for feature extraction and adaboost ensemble model as a …

L Holla, KS Kavitha - Journal of Advances in Information Technology, 2024 - jait.us
Fake news information on the internet has recently emerged as one of the challenging
concerns that can have an impact on society and individuals. Furthermore, the propagation …

Predicting Cardiovascular Disease: A Scoping Survey on different Datasets and DL/ML Models using ECG

N Akouz, A El Ghazi, W Moutaouakil… - … and Computer Vision …, 2024 - ieeexplore.ieee.org
Nowadays, cardiovascular disease is the leading global cause of death. Predicting heart
disease has become a complex endeavor, requiring both expertise and advanced …

A novel approach to fake news classification using LSTM-based deep learning models

H Padalko, V Chomko, D Chumachenko - Frontiers in big Data, 2024 - frontiersin.org
The rapid dissemination of information has been accompanied by the proliferation of fake
news, posing significant challenges in discerning authentic news from fabricated narratives …

Optimizing Fake News Detection: A Hybrid Transformer-Based Model for Enhanced Performance

F Al-Quayed, D Javed, NZ Jhanjhi, M Humayun… - IEEE …, 2024 - ieeexplore.ieee.org
Fake news, colloquially referred to as false news, exerts a profound influence on
fundamental facets of our societal framework. Manual fact verification is a frequently utilized …

Reliable social media framework: fake news detection using modified feature attention based CNN-BiLSTM

D Srikanth, K Krishna Prasad, M Kannan… - International Journal of …, 2024 - Springer
The social media platforms leads to proliferation of fake news and spreading of these false
information creates high negative impact on the society. To overcome these consequences …

Social Media's Toxic Comments Detection Using Artificial Intelligence Techniques

R Rachidi, MA Ouassil, M Errami… - … Research in Applied …, 2023 - ieeexplore.ieee.org
Cyberbullying takes its place in social media and has increased throughout the past few
years. The damage that cyberbullying has on the users is undeniable they get attacked …

Automatic Localization and Classification of Brain Tumors using Deep Residual Networks and MRI Images

D Lamrani, MA Bouqentar, MA Mahjoubi… - … Research in Applied …, 2024 - ieeexplore.ieee.org
Automatic segmentation tools can serve as valuable aids for healthcare professionals
providing additional information for clinical decision–making. This can include assessing …

3D CNN-BN: A Breakthrough in Colorectal Cancer Detection with Deep Learning Technique

K Hicham, A El-Ibrahimi, S Laghmati… - … Research in Applied …, 2024 - ieeexplore.ieee.org
The Convolutional neural network (CNN) has made significant strides in the medical
domain. CNN excels at the extraction of highly representative features in acute medical …