S
Shahan Yamin Siddiqui
Researcher at National College of Business Administration and Economics
Publications - 20
Citations - 418
Shahan Yamin Siddiqui is an academic researcher from National College of Business Administration and Economics. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 4, co-authored 15 publications receiving 42 citations. Previous affiliations of Shahan Yamin Siddiqui include Minhaj University Lahore.
Papers
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Journal ArticleDOI
IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning
Shahan Yamin Siddiqui,Amir Haider,Taher M. Ghazal,Muhammad Adnan Khan,Iftikhar Naseer,Sagheer Abbas,MuhibUr Rahman,Junaid Ahmad Khan,Munir Ahmad,Mohammad Kamrul Hasan,Afifi Mohammed. A,Karamath Ateeq +11 more
TL;DR: Wang et al. as mentioned in this paper proposed an Internet of Medical Things (IoMT) cloud-based model for the intelligent prediction of breast cancer stages, which is employed to detect breast cancer and its stages.
Journal ArticleDOI
Cloud-Based Breast Cancer Prediction Empowered with Soft Computing Approaches.
Farrukh Khan,Muhammad Adnan Khan,Sagheer Abbas,Atifa Athar,Shahan Yamin Siddiqui,Shahan Yamin Siddiqui,Abdul Hannan Khan,Abdul Hannan Khan,Muhammad Anwaar Saeed,Muhammad Hussain +9 more
TL;DR: The calculations and the evaluation done in this research have revealed that BCP-SVM is better than B CP-T1F, which concludes out the 96.56 percentage accuracy, whereas the BCP -SVM gives accuracy of 97.06 percentage.
Journal ArticleDOI
Simulation, Modeling, and Optimization of Intelligent Kidney Disease Predication Empowered with Computational Intelligence Approaches
Abdul Hannan Khan,Muhammad Adnan Khan,Sagheer Abbas,Shahan Yamin Siddiqui,Muhammad Aanwar Saeed,Majed Alfayad,Nouh Sabri Elmitwally +6 more
Proceedings ArticleDOI
A Proposed Architecture for Traffic Monitoring & Control System via LiFi Technology in Smart Homes
Muhammad Asif,M. Tahir Abbas Khan,Nasser Taleb,Raed A. Said,Shahan Yamin Siddiqui,Ghanwa Batool +5 more
TL;DR: The proposed model is the multi-purposed model like the authors can control, manage and identify traffic vehicles on time, which is 100 times greater than Conventional WiFi Technology.
Journal ArticleDOI
Intelligent Model for Brain Tumor Identification Using Deep Learning
Abdul Hannan Khan,Sagheer Abbas,Muhammad Adnan Khan,Umer Farooq,Wasim Khan,Shahan Yamin Siddiqui,Aiesha Ahmad +6 more
TL;DR: Hierarchical Deep Learning-Based Brain Tumor (HDL2BT) classification is proposed with the help of CNN for the detection and classification of brain tumors, being superior to earlier methods for detecting and segmentation brain tumors.