An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure. - Liaqat Ali; Awais Niamat; Javed Ali Khan; Noorbakhsh Amiri Golilarz; Xiong Xingzhong; Adeeb Noor; Redhwan Nour; Syed Ahmad Chan Bukhari (IEEE Access, 2019)

Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model. - Liaqat Ali; Ce Zhu; Noorbakhsh Amiri Golilarz; Ashir Javeed; Mingyi Zhou; Yipeng Liu 001 (IEEE Access, 2019)

A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm. - Noorbakhsh Amiri Golilarz; Abdoljalil Addeh; Hui Gao; Liaqat Ali; Aref Moradkhani Roshandeh; Hafiz Mudassir Munir; Riaz Ullah Khan (IEEE Access, 2019)

Satellite Image De-Noising With Harris Hawks Meta Heuristic Optimization Algorithm and Improved Adaptive Generalized Gaussian Distribution Threshold Function. - Noorbakhsh Amiri Golilarz; Hui Gao; Hasan Demirel (IEEE Access, 2019)

A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ2 Statistical Model and Gaussian Naive Bayes. - Liaqat Ali; Shafqat Ullah Khan; Noorbakhsh Amiri Golilarz; Yakubu Imrana; Iqbal Qasim; Adeeb Noor; Redhwan Nour (Comput. Math. Methods Medicine, 2019)

Optimized Wavelet-Based Satellite Image De-Noising With Multi-Population Differential Evolution-Assisted Harris Hawks Optimization Algorithm. - Noorbakhsh Amiri Golilarz; Mirpouya Mirmozaffari; Tayyebeh Asgari Gashteroodkhani; Liaqat Ali; Hamidreza Ahady Dolatsara; Azam Boskabadi; Mohammad Yazdi (IEEE Access, 2020)

Probabilistic Risk Analysis of Process Systems Considering Epistemic and Aleatory Uncertainties: A Comparison Study. - Mohammad Yazdi; Noorbakhsh Amiri Golilarz; Kehinde Adewale Adesina; Arman Nedjati (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021)

Efficient secure surveillance on smart healthcare IoT system through cosine-transform encryption. - Jalaluddin Khan; Jian Ping Li 002; Amin Ul Haq; Ghufran Ahmad Khan; Sultan Ahmad; Abdulrahman Abdullah Alghamdi; Noorbakhsh Amiri Golilarz (J. Intell. Fuzzy Syst., 2021)

LDA-GA-SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine. - Liaqat Ali; Iram Wajahat; Noorbakhsh Amiri Golilarz; Fazel Keshtkar; Syed Ahmad Chan Bukhari (Neural Comput. Appl., 2021)

An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis. - Mohammad Yazdi; Noorbakhsh Amiri Golilarz; Arman Nedjati; Kehinde Adewale Adesina (Neural Comput. Appl., 2021)

Satellite Multispectral and Hyperspectral Image De-Noising with Enhanced Adaptive Generalized Gaussian Distribution Threshold in the Wavelet Domain. - Noorbakhsh Amiri Golilarz; Hui Gao; Saied Pirasteh; Mohammad Yazdi; Junlin Zhou; Yan Fu (Remote. Sens., 2021)

Reliability analysis of the main drive system of a CNC machine tool including early failures. - He Li; Zhi-Ming Deng; Noorbakhsh Amiri Golilarz; Carlos Guedes Soares (Reliab. Eng. Syst. Saf., 2021)

Edge Computing for IoT-Enabled Smart Grid. - M. Yasir Mehmood; Ammar Oad; Muhammad Abrar; Hafiz Mudassir Munir; Syed Faraz Hasan; Hafiz Abd Ul Muqeet; Noorbakhsh Amiri Golilarz (Secur. Commun. Networks, 2021)

From Questions to Insightful Answers: Building an Informed Chatbot for University Resources. - Subash Neupane; Elias Hossain; Jason Keith; Himanshu Tripathi; Farbod Ghiasi; Noorbakhsh Amiri Golilarz; Amin Amirlatifi; Sudip Mittal; Shahram Rahimi 001 (FIE, 2024)

Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System. - Majid Memari; Khaled R. Ahmed; Shahram Rahimi 001; Noorbakhsh Amiri Golilarz (CoRR, 2024)

MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models. - Subash Neupane; Shaswata Mitra; Sudip Mittal; Noorbakhsh Amiri Golilarz; Shahram Rahimi 001; Amin Amirlatifi (CoRR, 2024)

Learning Algorithms Made Simple. - Noorbakhsh Amiri Golilarz; Elias Hossain; Abdoljalil Addeh; Keyan Alexander Rahimi (CoRR, 2024)

Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data. - Elias Hossain; Tasfia Nuzhat; Shamsul Masum; Shahram Rahimi 001; Sudip Mittal; Noorbakhsh Amiri Golilarz (CoRR, 2024)

Patient-centric knowledge graphs: a survey of current methods, challenges, and applications. - Hassan S. Al Khatib; Subash Neupane; Harish Kumar Manchukonda; Noorbakhsh Amiri Golilarz; Sudip Mittal; Amin Amirlatifi; Shahram Rahimi 001 (Frontiers Artif. Intell., 2024)

Edge-Based Learning for Improved Classification Under Adversarial Noise. - Manish Kansana; Keyan Alexander Rahimi; Elias Hossain; Iman Dehzangi; Noorbakhsh Amiri Golilarz (CoRR, 2025)

MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses Using Large Language Models. - Subash Neupane; Shaswata Mitra; Sudip Mittal; Manas Gaur; Noorbakhsh Amiri Golilarz; Shahram Rahimi 001; Amin Amirlatifi (ACM Trans. Comput. Heal., 2025)

Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges. - Raj Patel; Himanshu Tripathi; Jasper Stone; Noorbakhsh Amiri Golilarz; Sudip Mittal; Shahram Rahimi 001; Vini Chaudhary (CoRR, 2025)

Estimating Reliability of Electric Vehicle Charging Ecosystem using the Principle of Maximum Entropy. - Himanshu Tripathi; Subash Neupane; Shahram Rahimi 001; Noorbakhsh Amiri Golilarz; Sudip Mittal; Mohammad Sepehrifar (CoRR, 2025)

Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features. - Manish Kansana; Elias Hossain; Shahram Rahimi 001; Noorbakhsh Amiri Golilarz (CoRR, 2025)