|
|
|
|
|
Muhammad Akhtar, Iqbal Murtza, Muhammad Adnan and Ayesha Saadia
Natural scene classification, which has potential applications in precision agriculture, environmental monitoring, and disaster management, poses significant challenges due to variations in the spatial resolution, spectral resolution, texture, and size o...
ver más
|
|
|
|
|
|
|
|
|
Amit Pimpalkar, Jeberson Retna Raj
Pág. 254 - 266
|
|
|
|
|
|
|
|
|
Shahbaz Sikandar, Rabbia Mahum and AbdulMalik Alsalman
The multimedia content generated by devices and image processing techniques requires high computation costs to retrieve images similar to the user?s query from the database. An annotation-based traditional system of image retrieval is not coherent becaus...
ver más
|
|
|
|
|
|
|
|
|
Abigail Copiaco, Leena El Neel, Tasnim Nazzal, Husameldin Mukhtar and Walid Obaid
This study introduces an innovative all-in-one malware identification model that significantly enhances convenience and resource efficiency in classifying malware across diverse file types. Traditional malware identification methods involve the extractio...
ver más
|
|
|
|
|
|
|
|
|
Sibel Kapan and Efnan Sora Gunal
In phishing attack detection, machine learning-based approaches are more effective than simple blacklisting strategies, as they can adapt to new types of attacks and do not require manual updates. However, for these approaches, the choice of features and...
ver más
|
|
|
|