A. M. Qamar

发表

Dynamic entity and relationship extraction from news articles

H. Ahmed, M. U. Haq, A. M. Qamar, 2012, 2012 International Conference on Emerging Technologies.

RELIEF Algorithm and Similarity Learning for k-NN

A. M. Qamar, Éric Gaussier, 2011 .

Intelligent decision making and planning for call center

A. M. Qamar, Sharifullah Khan, Owais Rashid, 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).

University of Birmingham TIE algorithm: A layer over clustering-based taxonomy generation for handling an evolving data

A. M. Qamar, K. Rajpoot, Sharifullah Khan, 2017 .

Abstractions for Large-Scale Deep Learning Models in Big Data Analytics

A. M. Qamar, A. Khan, Aneeq Yusuf, 2019 .

Deep Learning-based Network Attack Detection Using Convolutional and Recurrent Neural Networks

A. M. Qamar, Bayan Alsughayyir, 2020 .

A Bibliometric Analysis of Coronavirus Research in Gulf Cooperation Council Countries

Suliman A. Alsuhibany, A. M. Qamar, R. Khan, 2021, International Journal of Online and Biomedical Engineering (iJOE).

Dates Fruit Recognition: From Classical Fusion to Deep Learning

A. M. Qamar, S. Aladhadh, R. Khan, 2022, Comput. Syst. Sci. Eng..

Detection of Non-Technical Losses Using SOSTLink and Bidirectional Gated Recurrent Unit to Secure Smart Meters

Nadeem Javaid, Gyanendra Prasad Joshi, Muhammad Khalil Afzal, 2020, Applied Sciences.

End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification

A. M. Qamar, Waleed Albattah, R. Khan, 2022, Complex..

Exploiting Machine Learning to Detect Malicious Nodes in Intelligent Sensor-Based Systems Using Blockchain

A. M. Qamar, Maimoona Bint E. Sajid, Nadeem Javaid, 2022 .

Classification and legality analysis of bowling action in the game of cricket

Saad B. Qaisar, Muhammad Salman, Ali Mustafa Qamar, 2017, Data Mining and Knowledge Discovery.

Developing a Network Attack Detection System Using Deep Learning

Rehanullah Khan, Ali Mustafa Qamar, A. M. Qamar, 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).

Large-Scale Bibliometric Analysis of Coronavirus

Suliman A. Alsuhibany, A. M. Qamar, R. Khan, 2021, International Journal of Design & Nature and Ecodynamics.

Blockchain Based Secure Routing and Trust Management in Wireless Sensor Networks

A. M. Qamar, Asad Ullah Khan, Nadeem Javaid, 2022, Sensors.

Crowd Counting Using End-to-End Semantic Image Segmentation

Ali Mustafa Qamar, Waleed Albattah, Shabana Habib, 2021, Electronics.

Large-scale Distributive Matrix Collaborative Filtering for Recommender System

Bofeng Zhang, Irfan Ullah, Ali Mustafa Qamar, 2020, CNIOT.

Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA

Ali Mustafa Qamar, Manar Abdullah Al-assaf, A. M. Qamar, 2020, J. King Saud Univ. Comput. Inf. Sci..

Advances and Trends in Real Time Visual Crowd Analysis

Khalil Khan, Rehan Ullah Khan, Waleed Albattah, 2020, Sensors.

A Secure Data Sharing Platform Using Blockchain and Interplanetary File System

Nadeem Javaid, Muhammad Khalil Afzal, Muqaddas Naz, 2019, Sustainability.

Predictive Analytics for Product Configurations in Software Product Lines

Tariq Mahmood, Ali Mustafa Qamar, Raihan ur Rasool, 2021, Int. J. Comput. Intell. Syst..

Feature Selection Optimization in Software Product Lines

Raihan Ur Rasool, Rehan Ullah Khan, Tariq Mahmood, 2020, IEEE Access.

Prediction and analysis of Pakistan election 2013 based on sentiment analysis

Hafiz Syed Muhammad Bilal, Muhammad Asif Razzaq, Ali Mustafa Qamar, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

Sentiment Classification of Twitter Data Belonging to Saudi Arabian Telecommunication Companies

Syed Sohail Ahmed, Suliman A. Alsuhibany, Ali Mustafa Qamar, 2017 .

Surface Water Pollution Detection using Internet of Things

Ali Mustafa Qamar, Rafia Mumtaz, Uferah Shafi, 2018, 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT).

Data analysis, quality indexing and prediction of water quality for the management of rawal watershed in Pakistan

Maqbool Ali, Ali Mustafa Qamar, A. M. Qamar, 2013, Eighth International Conference on Digital Information Management (ICDIM 2013).

Telecommunication subscribers' churn prediction model using machine learning

Ali Mustafa Qamar, Aziz Ur Rehman, Ahsan Rehman, 2013, Eighth International Conference on Digital Information Management (ICDIM 2013).

Performance Analysis of Bloom Filter for Big Data Analytics

Suliman A. Alsuhibany, A. M. Qamar, M. Alsuhaibani, 2022, Computational intelligence and neuroscience.

Classification and legality analysis of bowling action in the game of cricket

Saad B. Qaisar, A. M. Qamar, Muhammad Salman, 2017, Data Mining and Knowledge Discovery.

Image-Based Detection of Plant Diseases: From Classical Machine Learning to Deep Learning Journey

Ali Mustafa Qamar, Waleed Albattah, Khalil Khan, 2021, Wirel. Commun. Mob. Comput..

A semantic rules & reasoning based approach for Diet and Exercise management for diabetics

Sharifullah Khan, Hamid Mukhtar, Ali Mustafa Qamar, 2014, 2014 International Conference on Emerging Technologies (ICET).

The Role of Human Capital, Corruption and Quality of Life in Determining the Crime Rate: Empirics from Pakistan

A. M. Qamar, 2021 .

TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data

A. M. Qamar, K. Rajpoot, Sharifullah Khan, 2018, Frontiers of Information Technology & Electronic Engineering.

Sentiment classification of tweets using hierarchical classification

Muhammad Murtaza Khan, Ali Mustafa Qamar, Saad Saleh, 2016, 2016 IEEE International Conference on Communications (ICC).

Deep Learning-based Churn Prediction of Telecom Subscribers

A. M. Qamar, R. Khan, M. Othman, 2019 .

Rot-SiLA: A Novel Ensemble Classification Approach Based on Rotation Forest and Similarity Learning Using Nearest Neighbor Algorithm

Ali Mustafa Qamar, Mehrosh Khalid, Muhammad Shaheryar, 2013, 2013 12th International Conference on Machine Learning and Applications.

A Blockchain-Based Architecture for Smart Healthcare System: A Case Study of Saudi Arabia

Rehan Ullah Khan, Saleh Albahli, Ali Mustafa Qamar, 2020, Advances in Science, Technology and Engineering Systems Journal.

Predicting New Collaborations in Academic Citation Networks of IEEE and ACM Conferences

Hayder Radha, Alex X. Liu, Muhammad Murtaza Khan, 2014, SocialCom 2014.

Effective Deep Learning Models for Automatic Diacritization of Arabic Text

Ali Mustafa Qamar, A. M. Qamar, Mokhtar Madhfar, 2021, IEEE Access.

Recurrent Convolutional Neural Network MSER-Based Approach for Payable Document Processing

Suliman Aladhadh, A. M. Qamar, Hidayat Ur Rehman, 2021, Computers, Materials & Continua.

Quranic Reciter Recognition: A Machine Learning Approach

Rehan Ullah Khan, Ali Mustafa Qamar, Mohammed Hadwan, 2019, Advances in Science, Technology and Engineering Systems Journal.

Aspect-Based Sentiment Analysis of Arabic Tweets in the Education Sector Using a Hybrid Feature Selection Method

A. M. Qamar, Manar Alassaf, 2020, 2020 14th International Conference on Innovations in Information Technology (IIT).

Joo-Hwee Lim, Jean-Pierre Chevallet, Éric Gaussier, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Online and Batch Learning of Generalized Cosine Similarities

Éric Gaussier, Ali Mustafa Qamar, A. M. Qamar, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Comparative Analysis of Machine Learning Techniques for Telecommunication Subscribers' Churn Prediction

Ali Mustafa Qamar, Aatif Kamal, Saad Ahmed Qureshi, 2013 .

Visual-based Items Recommendation Using Deep Neural Network

Bofeng Zhang, Rehan Ullah Khan, Irfan Ullah, 2020, CNIOT.

Generative artificial intelligence in topic-sentiment classification for Arabic text: a comparative study with possible future directions

A. M. Qamar, A. Algosaibi, A. Albarrak, 2024, PeerJ Comput. Sci..