Exploring ChatGPT capabilities and limitations: a survey
ChatGPT, a groundbreaking natural language processing technology released a few
months ago, has attracted significant attention due to its remarkable capabilities. This AI …
months ago, has attracted significant attention due to its remarkable capabilities. This AI …
[PDF][PDF] Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation.
H Moujahid, B Cherradi, M Al-Sarem… - … Automation & Soft …, 2022 - academia.edu
With daily increasing of suspected COVID-19 cases, the likelihood of the virus mutation
increases also causing the appearance of virulent variants having a high level of replication …
increases also causing the appearance of virulent variants having a high level of replication …
Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey
Over the past few decades, researchers have put their effort and paid significant attention to
the authorship attribution field, as it plays an important role in software forensics analysis …
the authorship attribution field, as it plays an important role in software forensics analysis …
[HTML][HTML] Dtl-ids: An optimized intrusion detection framework using deep transfer learning and genetic algorithm
In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
Multilayer stacked ensemble learning model to detect phishing websites
Phishing is a cyber attack that tricks the online users into revealing sensitive information with
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
An improved sentiment classification approach for measuring user satisfaction toward governmental services' mobile apps using machine learning methods with …
Analyzing the sentiment of Arabic texts is still a big research challenge due to the special
characteristics and complexity of the Arabic language. Few studies have been conducted on …
characteristics and complexity of the Arabic language. Few studies have been conducted on …
AuthorNet: Leveraging attention-based early fusion of transformers for low-resource authorship attribution
Authorship Attribution (AA) is crucial for identifying the author of a given text from a pool of
suspects, especially with the widespread use of the internet and electronic devices …
suspects, especially with the widespread use of the internet and electronic devices …
Feature selection and classification using CatBoost method for improving the performance of predicting Parkinson's disease
Several studies investigated the diagnosis of Parkinson's disease (PD), which utilized
machine learning methods such as support vector machine, neural network, Naïve Bayes …
machine learning methods such as support vector machine, neural network, Naïve Bayes …
Efficient multiclass classification using feature selection in high-dimensional datasets
Feature selection has become essential in classification problems with numerous features.
This process involves removing redundant, noisy, and negatively impacting features from …
This process involves removing redundant, noisy, and negatively impacting features from …
Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning
Abstract The Internet of Things (IoT) networks, which are defined by their interconnected
devices and data streams are an expanding attack surface for cyber adversaries. Industrial …
devices and data streams are an expanding attack surface for cyber adversaries. Industrial …