Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Buana Information Technology and Computer Sciences (BIT and CS) English Language and Literature in Education Journal (ELLINE Journal)
Shahbaz, Narges
Unknown Affiliation
Computer Science & IT Education Languange, Linguistic, Communication & Media Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis Zaman, Muhammad; Khubaib, Muhammad; Kahkashan, Tanzila; Zahoor, Anam; Shahbaz, Narges; Shoukat, Shahzad; Nisar, Fahma
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.7654

Abstract

Heart is a very important part of human body, it supply blood to body. If the heart fail down the person cannot survive. This is very important to diagnose the heart disease timely to start proper treatment. To dingoes this disease manually takes time a lot and budget of the patient. Traditionally the patient have to go through form different test then he have to give medical history to the doctor then the doctor make decision about their disease and then the treatment start. In the developing countries especially like Pakistan the income of the people are too much low and they cannot offered different type of expensive tests like ECG etc. In this way the disease cannot detect timely and cannot treated properly. The heart stroke can be predicted by analyzing different attributes like blood pressure, cholesterol age etc., this is a best and easy way to predict heat stroke timely. Different types of Machine Learning and deep learning algorithms are used for heart stroke predictions. In this paper we purposed Novel MultiLayer-Perceptron (MLP) that are efficient in classification and in heart stoke prediction that model achieve high accuracy of 99%.
From Screens to Classrooms: How Cyberbullying Alters University Learning Dynamics Shahbaz, Narges
English Language and Literature in Education Journal Vol. 3 No. 2 (2025): ELLINE Journal
Publisher : Nexus Publishing NXP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63011/n3gqqf02

Abstract

Despite growing recognition of cyberbullying as a critical concern, the existing literature primarily focuses on its psychological consequences, with limited exploration of its nuanced effects on academic engagement and social dynamics within higher education contexts, particularly in urban Pakistan. This study aims to examine how cyberbullying influences university learning environments, with an emphasis on female students’ experiences. Adopting a qualitative case study design, data were collected through in-depth, semi-structured interviews with four female undergraduate students who have directly experienced cyberbullying. Thematic analysis revealed three interrelated themes: disruption of victims’ emotional stability and personality traits, deterioration in academic performance, and the complex interplay of parental and peer involvement in coping strategies. Findings indicate that persistent online harassment leads to withdrawal from social and academic participation, decreased motivation, and diminished trust in institutional support systems. Familial support is often limited due to generational and cultural gaps, while close friendships provide the primary emotional buffer. Simultaneously, peers and classmates may exacerbate social exclusion through rumor propagation, highlighting the layered dynamics of social networks in victimization and adaptation processes. The study underscores the necessity of targeted cyber-safety education, structured support mechanisms within universities, and initiatives to enhance parental awareness, providing actionable insights for policymakers, educators, and higher education administrators.
Co-Authors Kahkashan, Tanzila Khubaib, Muhammad Nisar, Fahma Shoukat, Shahzad Zahoor, Anam Zaman, Muhammad