Browsing by Author "Hilles, Shadi M. S."

Now showing 1 - 2 of 2

Citation Count: 1
Image Segmentation and Classification Using CNN Model to Detect Brain Tumors
(Ieee, 2021) Hilles, Shadi M. S.; Saleh, Noor S.
Brain tumors are classified using a biopsy in brain surgery, the Enhancement technique and machine learning may assist tumor diagnosis without invasive procedures. where is a convolutional neural network CNN is a popular method in deep learning that has produced considerable success in image segmentation and classification (CNN). this paper presents a brain tumor segmentation and classification architecture with three tumor modalities. The neural network has been created and its much simple than what actually the current pre trained networks and also has been tested using contrast-enhanced magnetic resonance images MRI from T1. The capacity of the network to generalize has been evaluated using one of the 10 times, subject-specific cross-validation techniques and tested by an enlarged images in dataset. The best result was achieved for the 10-fold cross-validation technique for the record-oriented cross-validation of the increased data set, and the accuracy in this instance was 96.56 percent. The newly designed CNN architecture may be utilized as an effective decision support tool for radiologists in medical diagnosis with high generalization capacity and fast performance speed.
Citation Count: 1
Social Commerce Adoption Based UTAUT Model for Consumer Behavior: Iraq Small and Medium Enterprise
(Ieee, 2021) Habeeb, Rasha Jasim Habeeb; Hilles, Shadi M. S.; Momani, Alaa M.
Using of e-commerce is one of the Internet's most far-reaching influences. Particularly, in terms of business and market models where Social commerce is proved to be a significant topic in information systems, where fast increasing online shops e-commerce platforms assisting in increasing customer engagement and sales. As a result, social media has evolved into a far more significant platform for the retail business. This research examines the impact of social commerce on customer behavior and intention to use electronic purchasing in the Iraqi local market, based on the suggested expanded Unified Theory of Acceptance and Use of Technology (UTAUT) model. The purpose of this paper is to analyses crucial elements using an empirical research as well as a quantitative survey questionnaire administered to social media users, with 410 valid responses where we conducted analysis on these responses by using SPSS package All participants can envisage the importance of e-commerce. The results also showed that the majority of the participants embrace the concept of e-commerce and react favorably to it. Further, the findings highlight that performance expectancy has a positive effect on behavioral intention and the actual use to adopt social commerce. The inclusion into the proposed model of relevant insights obtained from the interviews, the questionnaire, and the focus group ensures that the model has both theoretical and practical validity where study considers the major effect of Iraqi customers' behavioral intentions and their culture on social commerce. The analysis also considered nine dependent variables, including customer adoption and confidence in social commerce.