PeerJ - Profile - Imran Ashraf

PeerJ Author & Reviewer

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Imran Ashraf

PeerJ Author & Reviewer

Summary

Imran Ashraf is currently working as an Assistant Professor in the department of Information and Communication Engineering, College of Engineering, Yeungnam University, Gyeongsan-Si, South Korea. He received a Ph.D. degree from the Department of Information and Communication Engineering, Yeungnam University, Korea, in 2018. He got his MS degree from Blekinge Institute of Technology, Sweden in 2011 with distinction. He earned Sparbanksstiftelsen Kronan Scholarship for his M.Sc. degree from Sweden as well as a Gold Medal for outstanding achievements in BS from Allama Iqbal Open University, Pakistan.

Artificial Intelligence Data Mining & Machine Learning Data Science Emerging Technologies Robotics

Past or current institution affiliations

Yeungnam University

Work details

Assistant Professor

Yeungnam University

March 2015

Information and Communication Engineering

Websites

Google Scholar

April 15, 2024

Improving prediction of maternal health risks using PCA features and TreeNet model

Leila Jamel, Muhammad Umer, Oumaima Saidani, Bayan Alabduallah, Shtwai Alsubai, Farruh Ishmanov, Tai-hoon Kim, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1982

March 26, 2024

A machine learning based framework for IoT devices identification using web traffic

Sajjad Hussain, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1834

January 9, 2024

Analyzing patients satisfaction level for medical services using twitter data

Muhammad Usman, Muhammad Mujahid, Furqan Rustam, EmmanuelSoriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1697

January 3, 2024

Contradiction in text review and apps rating: prediction using textual features and transfer learning

Turki Aljrees, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Abid Ishaq, Shtwai Alsubai, Ala’ Abdulmajid Eshmawi, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1722

November 22, 2023

Skeletal age evaluation using hand X-rays to determine growth problems

Muhammad Umer, Ala’ Abdulmajid Eshmawi, Khaled Alnowaiser, Abdullah Mohamed, Huda Alrashidi, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1512

October 19, 2023

IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic

Nouf Abdullah Almujally, Turki Aljrees, Muhammad Umer, Oumaima Saidani, Danial Hanif, Nihal Abuzinadah, Khaled Alnowaiser, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1493

August 30, 2023

A novel approach for explicit song lyrics detection using machine and deep ensemble learning models

Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, Hanen Karamti, Saba Tahir, Nihal Abuzinadah, Khaled Alnowaiser, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1469

August 3, 2023

Bidirectional encoder representations from transformers and deep learning model for analyzing smartphone-related tweets

Sudheesh R, Muhammad Mujahid, Furqan Rustam, Bhargav Mallampati, Venkata Chunduri, Isabel de la Torre Díez, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1432

May 23, 2023

Fake news detection in Urdu language using machine learning

Muhammad Shoaib Farooq, Ansar Naseem, Furqan Rustam, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1353

March 10, 2023

Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques

Shoaib Ahmed, Dost Muhammad Khan, Saima Sadiq, Muhammad Umer, Faisal Shahzad, Khalid Mahmood, Heba Mohsen, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1190

January 13, 2023

What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets

Muhammad Mujahid, Furqan Rustam, Fahad Alasim, MuhammadAbubakar Siddique, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1193

January 4, 2023

Predicting bankruptcy of firms using earnings call data and transfer learning

Hafeez Ur Rehman Siddiqui, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Furqan Rustam, Amjad Raza, Sajjad Atta, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1134

December 15, 2022

Self voting classification model for online meeting app review sentiment analysis and topic modeling

Naila Aslam, Kewen Xia, Furqan Rustam, Ernesto Lee, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1141

December 13, 2022

Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers

Musarat Karim, Malik Muhammad Saad Missen, Muhammad Umer, Alisha Fida, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1107

June 28, 2022

Comparative analysis of machine learning methods to detect fake news in an Urdu language corpus

Adnan Rafique, Furqan Rustam, Manideep Narra, Arif Mehmood, Ernesto Lee, Imran Ashraf

https://doi.org/10.7717/peerj-cs.1004

March 15, 2022

Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms

Muhammad Zaid Naeem, Furqan Rustam, Arif Mehmood, Mui-zzud-din, Imran Ashraf, Gyu Sang Choi

https://doi.org/10.7717/peerj-cs.914

October 21, 2021

Deepfake tweets classification using stacked Bi-LSTM and words embedding

Vaibhav Rupapara, Furqan Rustam, Aashir Amaar, Patrick Bernard Washington, Ernesto Lee, Imran Ashraf

https://doi.org/10.7717/peerj-cs.745

August 25, 2021

Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model

Ramish Jamil, Imran Ashraf, Furqan Rustam, Eysha Saad, Arif Mehmood, Gyu Sang Choi

https://doi.org/10.7717/peerj-cs.645

July 22, 2021

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms

Aijaz Ahmad Reshi, Imran Ashraf, Furqan Rustam, Hina Fatima Shahzad, Arif Mehmood, Gyu Sang Choi

https://doi.org/10.7717/peerj-cs.547

Academic Editor on

November 8, 2023

A target tracking method based on adaptive occlusion judgment and model updating strategy

Zhiming Cai, Zhuangzhuang Wang, Jianchao Huang, Shujing Chen, Huabin He

https://doi.org/10.7717/peerj-cs.1562

May 19, 2023

Students’ performance in interactive environments: an intelligent model

Doaa Mohamed Elbourhamy, Ali Hassan Najmi, Abdellah Ibrahim Mohammed Elfeky

https://doi.org/10.7717/peerj-cs.1348

April 13, 2023

VIOLA jones algorithm with capsule graph network for deepfake detection

Venkatachalam K, Pavel Trojovský, Štěpán Hubálovský

https://doi.org/10.7717/peerj-cs.1313

March 22, 2023

Semantic-visual shared knowledge graph for zero-shot learning

Beibei Yu, Cheng Xie, Peng Tang, Bin Li

https://doi.org/10.7717/peerj-cs.1260

February 3, 2023

Development of flapping wing robot and vision-based obstacle avoidance strategy

Heetae Park, Geunsik Bae, Inrae Kim, Seungkeun Kim, Hyondong Oh

https://doi.org/10.7717/peerj-cs.1201

January 18, 2023

Feature extraction algorithm of an irregular small celestial body in a weak light environment

Menglong Cao, Yue Gao

https://doi.org/10.7717/peerj-cs.1198

December 14, 2022

A computer vision-based system for recognition and classification of Urdu sign language dataset

Hira Zahid, Munaf Rashid, Sidra Abid Syed, Rafi Ullah, Muhammad Asif, Muzammil Khan, Amenah Abdul Mujeeb, Ali Haider Khan

https://doi.org/10.7717/peerj-cs.1174

November 14, 2022

Decoupling facial motion features and identity features for micro-expression recognition

Tingxuan Xie, Guoquan Sun, Hao Sun, Qiang Lin, Xianye Ben

https://doi.org/10.7717/peerj-cs.1140

September 22, 2022

AI-SPedia: a novel ontology to evaluate the impact of research in the field of artificial intelligence

Yasser Maatouk

https://doi.org/10.7717/peerj-cs.1099

September 13, 2022

Evaluation of deepfake detection using YOLO with local binary pattern histogram

Štěpán Hubálovský, Pavel Trojovský, Nebojsa Bacanin, Venkatachalam K

https://doi.org/10.7717/peerj-cs.1086

August 8, 2022

Classification of breast cancer using a manta-ray foraging optimized transfer learning framework

Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, Yousry AbdulAzeem, Mahmoud Badawy, Mostafa Elhosseini

https://doi.org/10.7717/peerj-cs.1054

July 19, 2022

Improved genetic algorithm optimized LSTM model and its application in short-term traffic flow prediction

Junxi Zhang, Shiru Qu, Zhiteng Zhang, Shaokang Cheng

https://doi.org/10.7717/peerj-cs.1048

July 18, 2022

Improving word embeddings in Portuguese: increasing accuracy while reducing the size of the corpus

José Pedro Pinto, Paula Viana, Inês Teixeira, Maria Andrade

https://doi.org/10.7717/peerj-cs.964

July 13, 2022

Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection

Saravana Balaji Balasubramanian, Jagadeesh Kannan R, Prabu P, Venkatachalam K, Pavel Trojovský

https://doi.org/10.7717/peerj-cs.1040

July 7, 2022

Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding

Talha Bin Sarwar, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah

https://doi.org/10.7717/peerj-cs.1024

May 31, 2022

Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN

Venkatachalam Kandasamy, Štěpán Hubálovský, Pavel Trojovský

https://doi.org/10.7717/peerj-cs.953

May 2, 2022

Building a Korean morphological analyzer using two Korean BERT models

Yong-Seok Choi, Yo-Han Park, Kong Joo Lee

https://doi.org/10.7717/peerj-cs.968

March 25, 2022

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network

Md Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Mohammad Ahsanul Haque, Jia Uddin, Wan Noorshahida Mohd Isa, Mohd Nizam Husen, Norra Abdullah

https://doi.org/10.7717/peerj-cs.895

March 23, 2022

Iris recognition approach for identity verification with DWT and multiclass SVM

Mohamed A. El-Sayed, Mohammed A. Abdel-Latif

https://doi.org/10.7717/peerj-cs.919

February 22, 2022

An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry

Syed Fakhar Bilal, Abdulwahab Ali Almazroi, Saba Bashir, Farhan Hassan Khan, Abdulaleem Ali Almazroi

https://doi.org/10.7717/peerj-cs.854

January 26, 2022

The use of statistical and machine learning tools to accurately quantify the energy performance of residential buildings

Dina M. Ibrahim, Abdulbasit Almhafdy, Amal A. Al-Shargabi, Manal Alghieth, Ahmed Elragi, Francisco Chiclana