Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computers

S Afrifa, V Varadarajan, P Appiahene, T Zhang… - Eng, 2023 - mdpi.com
The transmission of information, ideas, and thoughts requires communication, which is a
crucial component of human contact. The utilization of Internet of Things (IoT) devices is a …

Software defect prediction using a bidirectional LSTM network combined with oversampling techniques

NAA Khleel, K Nehéz - Cluster Computing, 2023 - Springer
Software defects are a critical issue in software development that can lead to system failures
and cause significant financial losses. Predicting software defects is a vital aspect of …

Literature Review: A Comparative Study of Software Defect Prediction Techniques

T Sharma, A Jatain, S Bhaskar, K Pabreja - Proceedings of 3rd …, 2023 - Springer
At the latest, a lot of studies have been conducted to forecast software flaws and determine if
modules are defective or not, in order to build high-quality software at a low cost before …

[PDF][PDF] The Developing of the System for Automatic Audio to Text Conversion.

O Basystiuk, N Shakhovska, V Bilynska, O Syvokon… - IT&AS, 2021 - ceur-ws.org
The paper describes possibilities, which are provided by open APIs, and how to use them for
creating unified interfaces which is based on recurrent neural network. In last decade AI …

SGD-based cascade scheme for higher degrees wiener polynomial approximation of large biomedical datasets

I Izonin, R Tkachenko, R Holoven, K Yemets… - Machine Learning and …, 2022 - mdpi.com
The modern development of the biomedical engineering area is accompanied by the
availability of large volumes of data with a non-linear response surface. The effective …

A Parallel Algorithm for the Detection of Eye Disease

L Mochurad, R Panto - The International Symposium on Computer Science …, 2022 - Springer
Over the past few years, the growth of eye diseases among people has become exponential.
Eye problems affect not only the elderly but also the younger generation. But detecting these …

A model for weather forecasting based on parallel calculations

L Mochurad, O Kotsiumbas, I Protsyk - International Conference of Artificial …, 2022 - Springer
With the rapid accumulation of processed data in the modeling of a problem, it is necessary
to apply the parallelization of the computational process, in order to be able to make …

A new approach to software defect prediction based on convolutional neural network and bidirectional long short-term memory

K Nehéz, NAA Khleel - Production Systems and Information …, 2022 - ojs.uni-miskolc.hu
Software defect prediction (SDP) plays an important role in improving software quality and
reliability while reducing software maintenance cost. The problem in the field of SDP is how …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

Meta‐heuristic optimization algorithm for predicting software defects

MA Elsabagh, MS Farhan, MG Gafar - Expert Systems, 2021 - Wiley Online Library
Software engineering companies strive to improve software quality by predicting software
defects‐prone modules. Although various data mining methods have been developed …