Muhammad Ali Babar
Datos Biográficos
| ID | 9255808 |
|---|---|
| NOMBRE | Muhammad Ali Babar |
| NOMBRES | Muhammad Ali |
| APELLIDO | Babar |
| FIRMA | BABAR M A |
| AFILIACIONES | The University of Adelaide |
| ORCID | 0000-0001-6653-6076 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 0 |
Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network
In today’s fast-paced world, the Internet has become a prevalent source of information for people worldwide. With the increasing use of various applications, people can get updates in real time, making access to information more convenient than ever. However, this easy access to the Internet has also led to the rise of fake news, making it difficult for individuals to differentiate between true and false information. This is where deep learning (…
An Analysis of the Problems in Learning English Words through Words Formation Processes by Undergraduate Students at Hazara University
The present study analyzes the problems in learning English words through words formation processes by undergraduate students. The instrument of the test was used to collect data from one hundred seventeen undergraduate students selected through non-random convenient sampling. The findings of the study suggest that students had not acquired most of the English words through word-formation processes. The words formed through conversion, backformat…
Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
Smart city designing and planning based on big data analytics
Socio-Cultural Challenges in Global Software Engineering Education
Global software engineering education (GSEE) is aimed at providing software engineering (SE) students with knowledge, skills, and understanding of working in globally distributed arrangements so they can be prepared for the global SE (GSE) paradigm. It is important to understand the challenges involved in GSEE for improving the quality and experience of educators and students. This paper reports the findings of an empirical study on the socio-cul…
Sin obras prominentes en esta página.
Smart city designing and planning based on big data analytics
Socio-Cultural Challenges in Global Software Engineering Education
Global software engineering education (GSEE) is aimed at providing software engineering (SE) students with knowledge, skills, and understanding of working in globally distributed arrangements so they can be prepared for the global SE (GSE) paradigm. It is important to understand the challenges involved in GSEE for improving the quality and experience of educators and students. This paper reports the findings of an empirical study on the socio-cul…
An Analysis of the Problems in Learning English Words through Words Formation Processes by Undergraduate Students at Hazara University
The present study analyzes the problems in learning English words through words formation processes by undergraduate students. The instrument of the test was used to collect data from one hundred seventeen undergraduate students selected through non-random convenient sampling. The findings of the study suggest that students had not acquired most of the English words through word-formation processes. The words formed through conversion, backformat…
Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network
In today’s fast-paced world, the Internet has become a prevalent source of information for people worldwide. With the increasing use of various applications, people can get updates in real time, making access to information more convenient than ever. However, this easy access to the Internet has also led to the rise of fake news, making it difficult for individuals to differentiate between true and false information. This is where deep learning (…
Computer Science (5 obras) · Analytics (2 obras) · Artificial Intelligence (2 obras) · Big data (2 obras) · Data mining (2 obras) · Distributed computing (2 obras) · Embedded system (2 obras) · Engineering (2 obras) · Mathematics education (2 obras) · Psychology (2 obras)