An efficient densenet-based deep learning model for malware detection
Recently, there has been a huge rise in malware growth, which creates a significant security
threat to organizations and individuals. Despite the incessant efforts of cybersecurity …
threat to organizations and individuals. Despite the incessant efforts of cybersecurity …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
Recent advances in artificial intelligence towards the sustainable future of agri-food industry
Artificial intelligence has the potential to alter the agricultural and food processing industries,
with significant ramifications for sustainability and global food security. The integration of …
with significant ramifications for sustainability and global food security. The integration of …
Dominant feature selection and machine learning‐based hybrid approach to analyze android ransomware
Ransomware is a special malware designed to extort money in return for unlocking the
device and personal data files. Smartphone users store their personal as well as official data …
device and personal data files. Smartphone users store their personal as well as official data …
Deceiving AI-based malware detection through polymorphic attacks
Malware detection is one of the most important tasks in cybersecurity. Recently, increasing
interest in Convolutional Neural Networks (CNN) and Machine Learning algorithms, which …
interest in Convolutional Neural Networks (CNN) and Machine Learning algorithms, which …
Classification and analysis of android malware images using feature fusion technique
The super packed functionalities and artificial intelligence (AI)-powered applications have
made the Android operating system a big player in the market. Android smartphones have …
made the Android operating system a big player in the market. Android smartphones have …
A two‐stage deep learning framework for image‐based android malware detection and variant classification
With the popularity of the internet and smartphones, malware on smartphones has increased
dramatically. In addition, the ubiquity and openness of the Android operating system have …
dramatically. In addition, the ubiquity and openness of the Android operating system have …
[HTML][HTML] Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison
The ever-increasing demand for energy and power consumption due to population growth,
economic expansion, and evolving consumer choices has led to the need for renewable …
economic expansion, and evolving consumer choices has led to the need for renewable …