Intelligent prediction of customer churn with a fused attentional deep learning model

Y Liu, M Shengdong, G Jijian, N Nedjah - Mathematics, 2022 - mdpi.com
In recent years, churn rates in industries such as finance have increased, and the cost of
acquiring new users is more than five times the cost of retaining existing users. To improve …

Forecasting the number of bugs and vulnerabilities in software components using neural network models

O Cosma, P Pop, C Sabo, L Cosma - Computational Intelligence in …, 2022 - Springer
The frequency of cyber attacks has been rising rapidly lately, which is a major concern.
Because each attack exploits one or more vulnerabilities in the software components that …

A comparative study of neural network architectures for software vulnerability forecasting

O Cosma, PC Pop, L Cosma - Logic Journal of the IGPL, 2024 - academic.oup.com
The frequency of cyberattacks has been rapidly increasing in recent times, which is a
significant concern. These attacks exploit vulnerabilities present in the software components …

A Novel CNN Approach for Accurate Tomato Disease Classification

O Cosma, L Cosma - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Plant diseases are a significant threat to crop health and productivity, often resulting in
substantial agricultural losses. Misdiagnosis and inadequate treatment exacerbate these …

TPC_Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest Classification

O Cosma, L Cosma - International Conference on Soft Computing Models …, 2024 - Springer
This paper presents a the development and optimization of a Convolutional Neural Network
(CNN) model, designed for Tomato Plant disease and pest Classification (TPC_Net). Using …

A Comparative Study of Machine Learning Models for Plant Disease Identification

M Mara, P Pop, J Barata - … Conference on Soft Computing Models in …, 2024 - Springer
Early identification of plant diseases plays an important role in reducing the financial losses
for farmers and enhancing the productivity and quality of crops. The present work proposes …

A Comparative Study of Machine

M Mara¹, P Pop, J Barata - … on Soft Computing Models in Industrial …, 2024 - books.google.com
Early identification of plant diseases plays an important role in reducing the financial losses
for farmers and enhancing the productivity and quality of crops. The present work proposes …