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ORCIDIqbal H. Sarker
Md. Iqbal Hasan Sarker
Person information
- affiliation: Cyber Security Cooperative Research Centre, Australia
- affiliation: Edith Cowan University, Perth, WA, Australia
- affiliation (former): Swinburne University, Australia
- affiliation (former): Chittagong University of Engineering & Technology, Bangladesh
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2020 – today
- 2024
[b2]Iqbal H. Sarker:
AI-Driven Cybersecurity and Threat Intelligence - Cyber Automation, Intelligent Decision-Making and Explainability. Springer 2024, ISBN 978-3-031-54496-5, pp. 3-200- [j61]G. M. Sakhawat Hossain
, Kaushik Deb, Helge Janicke, Iqbal H. Sarker:
PDF Malware Detection: Toward Machine Learning Modeling With Explainability Analysis. IEEE Access 12: 13833-13859 (2024) - [j60]Iqbal H. Sarker:
LLM potentiality and awareness: a position paper from the perspective of trustworthy and responsible AI modeling. Discov. Artif. Intell. 4(1): 40 (2024) - [j59]Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin, Asif Gill, Leandros Maglaras:
Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects. ICT Express 10(4): 935-958 (2024) - [j58]Khalid Saifullah, Mohammad Ibrahim Khan, Suhaima Jamal, Iqbal H. Sarker:
Cyberbullying Text Identification based on Deep Learning and Transformer-based Language Models. EAI Endorsed Trans. Ind. Networks Intell. Syst. 11(1) (2024) - [j57]Iqbal H. Sarker, Helge Janicke, Mohamed Amine Ferrag, Alsharif Abuadbba:
Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical infrastructures. Internet Things 25: 101110 (2024) - [j56]Suhaima Jamal, Hayden Wimmer, Iqbal H. Sarker:
An improved transformer-based model for detecting phishing, spam and ham emails: A large language model approach. Secur. Priv. 7(5) (2024) - [j55]Md. Zubair, Helge Janicke, Ahmad Mohsin, Leandros Maglaras, Iqbal H. Sarker:
Automated Sensor Node Malicious Activity Detection with Explainability Analysis. Sensors 24(12): 3712 (2024) - [i35]Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker:
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis. CoRR abs/2401.03530 (2024) - [i34]Md. Zubair, Md. Shahidul Salim, Mehrab Mustafy Rahman, Mohammad Jahid Ibna Basher, Shahin Imran, Iqbal H. Sarker:
Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach. CoRR abs/2401.11410 (2024) - [i33]Mohammad Amaz Uddin, Iqbal H. Sarker:
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach. CoRR abs/2402.13871 (2024) - [i32]Fatama Tuz Johora, Md Shahedul Islam Khan, Esrath Kanon, Mohammad Abu Tareq Rony, Md. Zubair, Iqbal H. Sarker:
A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors. CoRR abs/2404.00068 (2024) - [i31]Yagmur Yigit, Mohamed Amine Ferrag, Iqbal H. Sarker, Leandros A. Maglaras, Christos Chrysoulas, Naghmeh Moradpoor, Helge Janicke:
Critical Infrastructure Protection: Generative AI, Challenges, and Opportunities. CoRR abs/2405.04874 (2024) - [i30]Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker:
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis. CoRR abs/2405.08026 (2024) - [i29]Ahmad Mohsin, Helge Janicke, Adrian Wood, Iqbal H. Sarker, Leandros Maglaras, Naeem Janjua:
Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs. CoRR abs/2406.12513 (2024) - 2023
- [j54]Abdullah As Sami, Saadman Sakib, Kaushik Deb, Iqbal H. Sarker:
Improved YOLOv5-Based Real-Time Road Pavement Damage Detection in Road Infrastructure Management. Algorithms 16(9): 452 (2023) - [j53]Md. Ashiqur Rahman, Shuhena Salam Aonty, Kaushik Deb, Iqbal H. Sarker:
Attention-Based Human Age Estimation from Face Images to Enhance Public Security. Data 8(10): 145 (2023) - [j52]Iqbal H. Sarker, Asif Irshad Khan, Yoosef B. Abushark, Fawaz Alsolami:
Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions. Mob. Networks Appl. 28(1): 296-312 (2023) - [j51]Md. Rajib Hossain, Mohammed Moshiul Hoque, Nazmul H. Siddique, Iqbal H. Sarker:
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion. Neural Comput. Appl. 35(18): 13503-13527 (2023) - [j50]Iqbal H. Sarker:
Multi-aspects AI-based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview. Secur. Priv. 6(5) (2023) - [i28]Iqbal H. Sarker, Helge Janicke, Leandros Maglaras, Seyit Camtepe:
Data-Driven Intelligence can Revolutionize Today's Cybersecurity World: A Position Paper. CoRR abs/2308.05126 (2023) - [i27]Iqbal H. Sarker, Helge Janicke, Nazeeruddin Mohammad, Paul A. Watters, Surya Nepal:
AI Potentiality and Awareness: A Position Paper from the Perspective of Human-AI Teaming in Cybersecurity. CoRR abs/2310.12162 (2023) - [i26]Khandaker Tayef Shahriar, Iqbal H. Sarker:
Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets. CoRR abs/2312.01178 (2023) - 2022
- [j49]Md. Billal Hossain, Mohammad Shamsul Arefin, Iqbal H. Sarker, Md. Kowsher, Pranab Kumar Dhar, Takeshi Koshiba:
CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation. IEEE Access 10: 36299-36310 (2022) - [j48]Sarmistha Sarna Gomasta, Aditi Dhali, Md Musfique Anwar, Iqbal H. Sarker:
Query-oriented topical influential users detection for top-k trending topics in twitter. Appl. Intell. 52(12): 13415-13434 (2022) - [j47]Iqbal H. Sarker:
Smart City Data Science: Towards data-driven smart cities with open research issues. Internet Things 19: 100528 (2022) - [j46]Rony Chowdhury Ripan, Md. Moinul Islam, Hamed AlQahtani, Iqbal H. Sarker:
Effectively predicting cyber-attacks through isolation forest learning-based outlier detection. Secur. Priv. 5(3) (2022) - [j45]Md. Asif Iqbal, Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
BEmoC: A Corpus for Identifying Emotion in Bengali Texts. SN Comput. Sci. 3(2): 135 (2022) - [j44]Iqbal H. Sarker:
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Comput. Sci. 3(2): 158 (2022) - [c34]Syed Mohammad Minhaz Hossain, Jayed Akbar Sumon, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, Anik Sen, Iqbal H. Sarker:
Classifying Sentiments from Movie Reviews Using Deep Neural Networks. ICO 2022: 399-409 - [c33]Md. Monirul Islam, Md. Rokunojjaman, Al Amin, Md. Nasim Akhtar, Iqbal H. Sarker:
Diagnosis and Classification of Fetal Health Based on CTG Data Using Machine Learning Techniques. MIET (2) 2022: 3-16 - [c32]Khandaker Tayef Shahriar, Md Musfique Anwar, Iqbal H. Sarker:
Aspect Based Sentiment Analysis of COVID-19 Tweets Using Blending Ensemble of Deep Learning Models. MIET (1) 2022: 386-400 - [c31]Mohammad Amaz Uddin, Khandaker Tayef Shahriar, Md. Mokammel Haque, Iqbal H. Sarker:
Cyber-Attack Detection Through Ensemble-Based Machine Learning Classifier. MIET (2) 2022: 386-396 - [c30]Nowshin Tasnim, Md. Musfique Anwar, Iqbal H. Sarker:
A Stacked Ensemble Spyware Detection Model Using Hyper-Parameter Tuned Tree Based Classifiers. MIET (2) 2022: 397-408 - 2021
- [b1]Iqbal H. Sarker, Alan Colman, Jun Han, Paul A. Watters:
Context-Aware Machine Learning and Mobile Data Analytics - Automated Rule-based Services with Intelligent Decision-Making. Springer 2021, ISBN 978-3-030-88529-8, pp. 1-157 - [j43]Lamia Alam, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul H. Siddique, Iñaki Rañó, Iqbal H. Sarker:
Active Vision-Based Attention Monitoring System for Non-Distracted Driving. IEEE Access 9: 28540-28557 (2021) - [j42]Shayla Sharmin, Mohammed Moshiul Hoque, S. M. Riazul Islam, Md. Fazlul Kader, Iqbal H. Sarker:
Development of Duplex Eye Contact Framework for Human-Robot Inter Communication. IEEE Access 9: 54435-54456 (2021) - [j41]Badhan Chandra Das, Md Musfique Anwar, Md. Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, Mohammad Ali Moni:
Attribute Driven Temporal Active Online Community Search. IEEE Access 9: 93976-93989 (2021) - [j40]Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul H. Siddique, Md. Nazmul Islam, Iqbal H. Sarker:
Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks. IEEE Access 9: 100319-100338 (2021) - [j39]Md. Rajib Hossain, Mohammed Moshiul Hoque, Nazmul H. Siddique, Iqbal H. Sarker:
Bengali text document categorization based on very deep convolution neural network. Expert Syst. Appl. 184: 115394 (2021) - [j38]Iqbal H. Sarker:
CyberLearning: Effectiveness analysis of machine learning security modeling to detect cyber-anomalies and multi-attacks. Internet Things 14: 100393 (2021) - [j37]Iqbal H. Sarker, Mohammed Moshiul Hoque, Md Kafil Uddin, Tawfeeq Alsanoosy:
Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions. Mob. Networks Appl. 26(1): 285-303 (2021) - [j36]Rony Chowdhury Ripan, Iqbal H. Sarker, Syed Mohammad Minhaz Hossain, Md Musfique Anwar, Raza Nowrozy, Mohammed Moshiul Hoque, Md. Hasan Furhad:
A Data-Driven Heart Disease Prediction Model Through K-Means Clustering-Based Anomaly Detection. SN Comput. Sci. 2(2): 112 (2021) - [j35]Iqbal H. Sarker, Yoosef B. Abushark, Asif Irshad Khan, Md. Mottahir Alam, Raza Nowrozy:
Mobile Deep Learning: Exploring Deep Neural Network for Predicting Context-Aware Smartphone Usage. SN Comput. Sci. 2(3): 146 (2021) - [j34]Iqbal H. Sarker:
Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective. SN Comput. Sci. 2(3): 154 (2021) - [j33]Iqbal H. Sarker:
Machine Learning: Algorithms, Real-World Applications and Research Directions. SN Comput. Sci. 2(3): 160 (2021) - [j32]Iqbal H. Sarker, Md. Hasan Furhad, Raza Nowrozy:
AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions. SN Comput. Sci. 2(3): 173 (2021) - [j31]Iqbal H. Sarker:
Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective. SN Comput. Sci. 2(5): 377 (2021) - [j30]Iqbal H. Sarker:
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions. SN Comput. Sci. 2(6): 420 (2021) - [j29]Iqbal H. Sarker, Asif Irshad Khan, Yoosef B. Abushark, Fawaz Alsolami:
Mobile Expert System: Exploring Context-Aware Machine Learning Rules for Personalized Decision-Making in Mobile Applications. Symmetry 13(10): 1975 (2021) - [c29]Syed Mohammad Minhaz Hossain, Jayed Akbar Sumon, Anik Sen, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, Hamed AlQahtani, Iqbal H. Sarker:
Spam Filtering of Mobile SMS Using CNN-LSTM Based Deep Learning Model. HIS 2021: 106-116 - [c28]Rubaiath E. Ulfath, Hamed AlQahtani, Mohammad Hammoudeh, Iqbal H. Sarker:
Hybrid CNN-GRU Framework with Integrated Pre-trained Language Transformer for SMS Phishing Detection. ICFNDS 2021: 244-251 - [c27]Khalid Ibn Zinnah Apu, Mohammed Moshiul Hoque, Iqbal H. Sarker:
iMedMS: An IoT Based Intelligent Medication Monitoring System for Elderly Healthcare. ICO 2021: 302-313 - [c26]Sazid Zaman Khan, Alan Colman, Iqbal H. Sarker:
WikiServe: Using Wikipedia to Match IoT based Services for Situation Response. ICSIE 2021: 17-21 - [c25]Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach. NAACL-HLT (Student Research Workshop) 2021: 150-158 - [i25]Md. Zubair, Md. Asif Iqbal, Avijeet Shil, Enamul Haque, Mohammed Moshiul Hoque, Iqbal H. Sarker:
An Efficient K-means Clustering Algorithm for Analysing COVID-19. CoRR abs/2101.03140 (2021) - [i24]Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar, Md. Hasan Furhad, Fazle Rahat, Mohammed Moshiul Hoque, Muhammad Sarfraz:
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies. CoRR abs/2101.03141 (2021) - [i23]Uwaise Ibna Islam, Iqbal H. Sarker, Enamul Haque, Mohammed Moshiul Hoque:
Predicting Individual Substance Abuse Vulnerability using Machine Learning Techniques. CoRR abs/2101.03184 (2021) - [i22]Iqbal H. Sarker:
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks. CoRR abs/2104.08080 (2021) - [i21]Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach. CoRR abs/2104.08613 (2021) - [i20]Khandaker Tayef Shahriar, Iqbal H. Sarker, Muhammad Nazrul Islam, Mohammad Ali Moni:
A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets. CoRR abs/2109.02462 (2021) - 2020
- [j28]Iqbal H. Sarker, A. S. M. Kayes, Md. Hasan Furhad, Mohammad Mainul Islam, Md. Shohidul Islam:
E-MIIM: an ensemble-learning-based context-aware mobile telephony model for intelligent interruption management. AI Soc. 35(2): 459-467 (2020) - [j27]Iqbal H. Sarker, Alan Colman, Jun Han, A. S. M. Kayes, Paul A. Watters:
CalBehav: A Machine Learning-Based Personalized Calendar Behavioral Model Using Time-Series Smartphone Data. Comput. J. 63(7): 1109-1123 (2020) - [j26]Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed AlQahtani, Paul A. Watters, Alex Ng:
Cybersecurity data science: an overview from machine learning perspective. J. Big Data 7(1): 41 (2020) - [j25]Iqbal H. Sarker, Hamed AlQahtani, Fawaz Alsolami, Asif Irshad Khan, Yoosef B. Abushark, Mohammad Khubeb Siddiqui:
Context pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling. J. Big Data 7(1): 51 (2020) - [j24]Iqbal H. Sarker, A. S. M. Kayes:
ABC-RuleMiner: User behavioral rule-based machine learning method for context-aware intelligent services. J. Netw. Comput. Appl. 168: 102762 (2020) - [j23]Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, Khaled Salah:
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model. Mob. Networks Appl. 25(3): 1151-1161 (2020) - [j22]Md. Faisal Faruque, Asaduzzaman, Syed Mohammad Minhaz Hossain, Md. Hasan Furhad, Iqbal H. Sarker:
Predicting Diabetes Mellitus and Analysing Risk-Factors Correlation. EAI Endorsed Trans. Pervasive Health Technol. 5(20): e7 (2020) - [j21]A. S. M. Kayes, Rudri Kalaria, Iqbal H. Sarker, Md. Saiful Islam, Paul A. Watters, Alex Ng, Mohammad Hammoudeh, Shahriar Badsha, Indika Kumara:
A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues. Sensors 20(9): 2464 (2020) - [j20]Iqbal H. Sarker, Md. Faisal Faruque, Hamed AlQahtani, Asra Kalim:
K-Nearest Neighbor Learning based Diabetes Mellitus Prediction and Analysis for eHealth Services. EAI Endorsed Trans. Scalable Inf. Syst. 7(26): e4 (2020) - [j19]Iqbal H. Sarker, Yoosef B. Abushark, Asif Irshad Khan:
ContextPCA: Predicting Context-Aware Smartphone Apps Usage Based On Machine Learning Techniques. Symmetry 12(4): 499 (2020) - [j18]Iqbal H. Sarker, Yoosef B. Abushark, Fawaz Alsolami, Asif Irshad Khan:
IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model. Symmetry 12(5): 754 (2020) - [j17]Muhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, Syeda Sabrina Akter, Iqbal H. Sarker, A. K. M. Najmul Islam:
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic. IEEE Trans. Artif. Intell. 1(3): 258-270 (2020) - [c24]Syed Mohammad Minhaz Hossain, Md. Monjur Morhsed Tanjil, Mohammed Abser Bin Ali, Mohammad Zihadul Islam, Md. Saiful Islam, Sabrina Mobassirin, Iqbal H. Sarker, S. M. Riazul Islam:
Rice Leaf Diseases Recognition Using Convolutional Neural Networks. ADMA 2020: 299-314 - [c23]Hamed Alqahtani, Iqbal H. Sarker, Asra Kalim, Syed Md. Minhaz Hossain, Sheikh Ikhlaq, Sohrab Hossain:
Cyber Intrusion Detection Using Machine Learning Classification Techniques. COMS2 2020: 121-131 - [c22]Sohrab Hossain, Dhiman Sarma, Rana Jyoti Chakma, Wahidul Alam, Mohammed Moshiul Hoque, Iqbal H. Sarker:
A Rule-Based Expert System to Assess Coronary Artery Disease Under Uncertainty. COMS2 2020: 143-159 - [c21]Sohrab Hossain, Ahmed Abtahee, Imran Kashem, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Crime Prediction Using Spatio-Temporal Data. COMS2 2020: 277-289 - [c20]Md. Rajib Hossain, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Text Classification Using Convolution Neural Networks with FastText Embedding. HIS 2020: 103-113 - [c19]Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews. HIS 2020: 193-203 - [c18]Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar, Md. Hasan Furhad, Fazle Rahat, Mohammed Moshiul Hoque, Muhammad Sarfraz:
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies. HIS 2020: 270-279 - [c17]Rony Chowdhury Ripan, Iqbal H. Sarker, Md. Hasan Furhad, Md Musfique Anwar, Mohammed Moshiul Hoque:
An Effective Heart Disease Prediction Model Based on Machine Learning Techniques. HIS 2020: 280-288 - [c16]Uwaise Ibna Islam, Iqbal H. Sarker, Enamul Haque, Mohammed Moshiul Hoque:
Predicting Individual Substance Abuse Vulnerability Using Machine Learning Techniques. HIS 2020: 412-421 - [c15]Md. Zubair, Md. Asif Iqbal, Avijeet Shil, Enamul Haque, Mohammed Moshiul Hoque, Iqbal H. Sarker:
An Efficient K-Means Clustering Algorithm for Analysing COVID-19. HIS 2020: 422-432 - [c14]Fatima Jahara, Adrita Barua, Md. Asif Iqbal, Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Towards POS Tagging Methods for Bengali Language: A Comparative Analysis. ICO 2020: 1111-1123 - [i19]Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, Khaled Salah:
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model. CoRR abs/2001.00621 (2020) - [i18]Sohrab Hossain, Dhiman Sarma, Rana Jyoti Chakma, Wahidul Alam, Mohammed Moshiul Hoque, Iqbal H. Sarker:
A Rule Based Expert System to Assess Coronary Artery Disease under Uncertainty. CoRR abs/2003.09002 (2020) - [i17]Sohrab Hossain, Ahmed Abtahee, Imran Kashem, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Crime Prediction Using Spatio-Temporal Data. CoRR abs/2003.09322 (2020) - [i16]Muhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, Syeda Sabrina Akter, Iqbal H. Sarker, A. K. M. Najmul Islam:
A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic. CoRR abs/2008.07449 (2020) - [i15]Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews. CoRR abs/2011.09684 (2020)
2010 – 2019
- 2019
- [j16]Iqbal H. Sarker:
A machine learning based robust prediction model for real-life mobile phone data. Internet Things 5: 180-193 (2019) - [j15]Iqbal H. Sarker, Khaled Salah:
AppsPred: Predicting context-aware smartphone apps using random forest learning. Internet Things 8 (2019) - [j14]Iqbal H. Sarker:
Research issues in mining user behavioral rules for context-aware intelligent mobile applications. Iran J. Comput. Sci. 2(1): 41-51 (2019) - [j13]Iqbal H. Sarker:
Mining individualized context-dependent behavioral rules from smartphone data. J. Ambient Intell. Smart Environ. 11(4): 369-370 (2019) - [j12]Iqbal H. Sarker, Alan Colman, Jun Han:
RecencyMiner: mining recency-based personalized behavior from contextual smartphone data. J. Big Data 6: 49 (2019) - [j11]Iqbal H. Sarker, A. S. M. Kayes, Paul A. Watters:
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage. J. Big Data 6: 57 (2019) - [j10]Iqbal H. Sarker:
Context-aware rule learning from smartphone data: survey, challenges and future directions. J. Big Data 6: 95 (2019) - [j9]Iqbal H. Sarker:
Exploiting Data-Centric Social Context in Phone Call Prediction: A Machine Learning based Study. EAI Endorsed Trans. Scalable Inf. Syst. 6(20): e8 (2019) - [i14]Iqbal H. Sarker:
A Machine Learning based Robust Prediction Model for Real-life Mobile Phone Data. CoRR abs/1902.07588 (2019) - [i13]Md. Faisal Faruque, Asaduzzaman, Iqbal H. Sarker:
Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus. CoRR abs/1902.10028 (2019) - [i12]Iqbal H. Sarker, Alan Colman, Jun Han, A. S. M. Kayes, Paul A. Watters:
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data. CoRR abs/1909.04724 (2019) - [i11]Iqbal H. Sarker, A. S. M. Kayes, Md. Hasan Furhad, Mohammad Mainul Islam, Md. Shohidul Islam:
E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management. CoRR abs/1909.11029 (2019) - [i10]Iqbal H. Sarker, Khaled Salah:
AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning. CoRR abs/1909.12949 (2019) - 2018
- [j8]Iqbal H. Sarker:
Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications. EAI Endorsed Trans. Context aware Syst. Appl. 5(15): e1 (2018) - [j7]Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior. Comput. J. 61(3): 349-368 (2018) - [j6]Iqbal H. Sarker:
SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions. EAI Endorsed Trans. Mob. Commun. Appl. 4(15): e1 (2018) - [j5]Iqbal H. Sarker:
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications. EAI Endorsed Trans. Scalable Inf. Syst. 5(19): e4 (2018) - [c13]Iqbal H. Sarker, Flora D. Salim:
Mining User Behavioral Rules from Smartphone Data Through Association Analysis. PAKDD (1) 2018: 450-461 - [c12]Iqbal H. Sarker:
BehavMiner: Mining User Behaviors from Mobile Phone Data for Personalized Services. PerCom Workshops 2018: 452-453 - [i9]Iqbal H. Sarker, Flora D. Salim:
Mining User Behavioral Rules from Smartphone Data through Association Analysis. CoRR abs/1804.01379 (2018) - [i8]Iqbal H. Sarker:
SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions. CoRR abs/1810.10958 (2018) - [i7]Iqbal H. Sarker:
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications. CoRR abs/1810.12692 (2018) - [i6]Iqbal H. Sarker:
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications. CoRR abs/1811.02491 (2018) - [i5]Iqbal H. Sarker:
Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications. CoRR abs/1811.02615 (2018) - [i4]Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior. CoRR abs/1811.09577 (2018) - 2017
- [c11]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior. AusDM 2017: 72-85 - [c10]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
An effective call prediction model based on noisy mobile phone data. UbiComp/ISWC Adjunct 2017: 193-196 - [c9]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Designing architecture of a rule-based system for managing phone call interruptions. UbiComp/ISWC Adjunct 2017: 898-903 - [c8]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Understanding recency-based behavior model for individual mobile phone users. UbiComp/ISWC Adjunct 2017: 916-921 - [c7]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan W. Colman, Jun Han:
An Approach to Modeling Call Response Behavior on Mobile Phones Based on Multi-Dimensional Contexts. MOBILESoft@ICSE 2017: 91-95 - [c6]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Identifying Recent Behavioral Data Length in Mobile Phone Log. MobiQuitous 2017: 545-546 - [i3]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
An Improved Naive Bayes Classifier-based Noise Detection Technique for Classifying User Phone Call Behavior. CoRR abs/1710.04461 (2017) - [i2]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Identifying Recent Behavioral Data Length in Mobile Phone Log. CoRR abs/1711.06837 (2017) - 2016
- [c5]Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Behavior-Oriented Time Segmentation for Mining Individualized Rules of Mobile Phone Users. DSAA 2016: 488-497 - [c4]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users. DSAA 2016: 584-593 - [c3]Iqbal H. Sarker, Alan W. Colman, Muhammad Ashad Kabir, Jun Han:
Understanding individuals phone call behavior for calendar events. UbiComp Adjunct 2016: 605-607 - [c2]Iqbal H. Sarker, Alan W. Colman, Muhammad Ashad Kabir, Jun Han:
Phone call log as a context source to modeling individual user behavior. UbiComp Adjunct 2016: 630-634 - [c1]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Predicting how you respond to phone calls: towards discovering temporal behavioral rules. OZCHI 2016: 421-425 - 2014
- [j4]Md. Iqbal Hasan Sarker, Mohammad Ibrahim Khan:
A Tutorial for Blind Audio Watermarking Scheme. Smart Comput. Rev. 4: 15-22 (2014) - [j3]Md. Iqbal Hasan Sarker:
JMVC: A Java Framework for Rapidly Developing Desktop Application Software Based on MVC. Smart Comput. Rev. 4(4): 256-261 (2014) - 2013
- [j2]Md. Iqbal Hasan Sarker, Md. Shahed Iqbal:
Content-based Image Retrieval Using Haar Wavelet Transform and Color Moment. Smart Comput. Rev. 3(3): 155-165 (2013) - [j1]Md. Iqbal Hasan Sarker, Mohammad Ibrahim Khan:
An Efficient Image Watermarking Scheme Using BFS Technique Based on Hadamard Transform. Smart Comput. Rev. 3(5): 298-308 (2013) - [i1]Mohammad Ibrahim Khan, Md. Maklachur Rahman, Md. Iqbal Hasan Sarker:
Digital Watermarking for Image AuthenticationBased on Combined DCT, DWT and SVD Transformation. CoRR abs/1307.6328 (2013)
Coauthor Index
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