Active learning with Bayesian CNN using the BALD method for hyperspectral image classification
MS Qadir, G BİLGİN - Mesopotamian Journal of Big Data, 2023 - mesopotamian.press
Deep learning DL techniques have recently been used to examine the classification of
remote sensing data like hyperspectral images HSI. However, DL models are difficult to …
remote sensing data like hyperspectral images HSI. However, DL models are difficult to …
Analysing the connection between ai and industry 4.0 from a cybersecurity perspective: defending the smart revolution
In recent years, the significance and efficiency of business performance have become
dependent heavily on digitization, as jobs in companies are seeking to be transformed into …
dependent heavily on digitization, as jobs in companies are seeking to be transformed into …
TWGH: A Tripartite Whale–Gray Wolf–Harmony Algorithm to Minimize Combinatorial Test Suite Problem
Today's academics have a major hurdle in solving combinatorial problems in the actual
world. It is nevertheless possible to use optimization techniques to find, design, and solve a …
world. It is nevertheless possible to use optimization techniques to find, design, and solve a …
Maximizing test coverage for security threats using optimal test data generation
As time continues to advance, the need for robust security threat mitigation has become
increasingly vital in software. It is a constant struggle to maximize test coverage through …
increasingly vital in software. It is a constant struggle to maximize test coverage through …
[PDF][PDF] Pairwise test case generation with harmony search, one-parameter-at-at-time, seeding, and constraint mechanism integration.
Pairwise testing is a method for identifying defects through combinatorial analysis. It involves
testing all possible combinations of input parameters in pairs within a system, ensuring that …
testing all possible combinations of input parameters in pairs within a system, ensuring that …