Anwar Bhasha Pattan

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Anwar Bhasha Pattan


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https://researchid.co/anwarbhashapattan
7

Scopus Publications

20

Scholar Citations

3

Scholar h-index

Scopus Publications

  • Enhancing Remote Healthcare with Internet of Things: An Integrated Imaging and Machine Learning Methodology for Accurate Retinal Disease Diagnosis
    Mudassir Khan, Fahimuddin Shaik, Anwar Bhasha Pattan, Shaik Karimullah
    Integration of Internet of Things and Machine Learning Design Models Architectures and Application, 2026
    This study describes a complete technique for accurately identifying retinal illnesses, with an emphasis on diabetic retinopathy (DR), as well as the facilitation of remote healthcare access using an Internet of Things (IoT) framework. The methodology comprises a methodical series of processes, beginning with establishing a diversified Retinal Fundus Database and ending with thorough pre-processing utilizing the Wiener Filter to enhance image quality. The Graph Cut Segmentation Algorithm precisely delineates regions and detects DR-affected areas. Advanced edge detection algorithms are used for boundary tracing, and Fuzzy C-Means clustering is used to refine DR-affected regions. Feature extraction is required for accurate diagnosis, using the Gray-Level Co-occurrence Matrix (GLCM) and convolutional neural network (CNN)-based feature learning. A multiclass support vector machine (SVM) classifier is used for disease classification. Remote access and data sharing are facilitated by IoT integration using a Raspberry Pi and MATLAB ThingSpeak. This methodology combines modern image processing, machine learning, and IoT technologies to give exact diagnostic results and increase patient access to healthcare.
  • Heart Rate Estimation Using an Electrocardiogram- Aided Photoplethysmography Signal Quality Assessment Framework
    K. Naga Sankar Reedy, Peddapullaiahgari Hariobulesu, Shaik Karimullah, Anwar Bhasha Pattan, Fahimuddin Shaik
    Integration of Internet of Things and Machine Learning Design Models Architectures and Application, 2026
    A non-invasive method for taking human vital signs is photoplethysmography (PPG). However, wearable technology, which is prone to artifacts, is typically used to collect PPG. Measurement accuracy will be adversely affected by artifact-induced signal corruption. For accurate measurement in this regard, a signal quality assessment (SQA) system is necessary. SQA’s design flow has historically mostly depended on the expert’s individual observations. This study introduces a signal quality evaluation system for PPG that uses an electrocardiography (ECG). The suggested SQA has a greater capacity to identify low-quality signals by leveraging the functional relationship between PPG and ECG. Lastly, we tested our system using heart rate estimation. The suggested system achieves a lower mean out-and-out error in the assessed heart rate (1.699 vs. 1.901 bpm) than the traditional methods because it has an improved rejection rate of high-error signals (0.816 vs. 0.776).
  • Intelligent Blood Bank Management Using Internet of Things for Enhanced Healthcare Delivery
    Baya Reddy Lomada, B. Sreenivasulu, Anwar Bhasha Pattan, Mudassir Khan, Shaik Karimullah
    Integration of Internet of Things and Machine Learning Design Models Architectures and Application, 2026
    Efficient and accurate management of blood banks is critical for ensuring timely and safe blood transfusions in healthcare settings. Conventional systems, which rely heavily on manual operations, are susceptible to human error, delays, and lack of real-time updates. This paper introduces a smart, Internet of Things (IoT)-enabled blood bank management system designed to enhance operational efficiency and responsiveness. The proposed system integrates temperature and infrared (IR) sensors within storage racks to monitor environmental conditions critical to blood preservation. An Arduino microcontroller interfaces with a Global System for Mobile Communications (GSM) module to process blood donation and request alerts, while a Wi-Fi module ensures real-time synchronization of data with a central server. A web-based interface displays live blood inventory levels, enabling healthcare providers to access critical data remotely. By automating key functions and enabling real-time data access, this system significantly improves the reliability, transparency, and responsiveness of blood bank services, ultimately contributing to improved patient outcomes and healthcare delivery.
  • Improved Fetal Electrocardiogram Detection Using a Hybrid Wavelet- Based Denoising Method
    K. Naga Sankar Reedy, Peddapullaiahgari Hariobulesu, Shaik Karimullah, Anwar Bhasha Pattan, Fahimuddin Shaik, Mudassir Khan
    Integration of Internet of Things and Machine Learning Design Models Architectures and Application, 2026
    This study shows a mixed way to get fetal electrocardiogram (fECG) signals utilizing the recursive least squares (RLS) algorithm and the stationary wavelet transform (SWT). The goal is to improve fECG data by getting rid of noise and artifacts and finding R-peaks accurately using either a threshold-based denoising method or the improved spatially selective noise filtering (ISSNF) method in the wavelet domain. Finding the R-peak accurately is important for detecting fetal heart problems and getting important clinical information. After the fECG is taken, a convolutional neural network (CNN) is used to figure out the fetal heart rate (FHR). This makes it possible to keep an eye on the health of the fetus. SWT breaks down the abdominal electrocardiogram (ECG) into parts at different scales, with the scales selected based on the amount of noise. The RLS approach gets rid of the mother’s ECG, and then ISSNF or threshold-based methods are used to eliminate noise. Both real and fake datasets are utilized to test the suggested method. We check performance by looking at the results, finding the QRS complex, and measuring the signal-to-noise ratio (SNR). The proposed method works better than standard adaptive filtering methods, as shown by experimental findings. It achieves a high SNR, low distortion, and clearer signals.
  • Advanced diabetes prediction: A comprehensive analysis of machine learning and deep learning techniques
    Decision Support System for Diabetes Healthcare Advancements and Applications, 2024
  • SEGMENTATION OF MRI IMAGES USING A COMBINATION OF ACTIVE CONTOUR MODELING AND MORPHOLOGICAL PROCESSING
    SANTHOSH KUMAR VEERAMALLA, V. HINDUMATHI, T. VASUDEVA REDDY, ANWAR BHASHA PATTAN, T. P. KAUSALYA NANDAN
    Journal of Mechanics in Medicine and Biology, 2023
    Image segmentation in brain magnetic resonance imaging (MRI) largely relates to dividing brain tissue into components like white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Using the segmentation outputs, medical images can be 3D reconstructed and visualized efficiently. It is common for MRI pictures to have issues such as partial volume effects, asymmetrical grayscale, and noise. As a result, high accuracy in brain MRI picture segmentation is challenging to achieve in practical applications. In this paper, we developed an effective algorithm for brain MRI image segmentation utilizing a combination of statistical and partial differential equation-based approaches, based on a neuro-mechanical model. The findings of this work demonstrate that by combining various segmentation approaches, it is possible to quickly segment brain MRI data at a degree of precision necessary for different applications. Here, we show that when we use nonlinear filtering, [Formula: see text]-means clustering, and active contour modeling, we can get very good results when we segment brain MRI images. It is clear that the proposed approach has higher segmentation performance and can properly separate brain tissue from a large number of MRI images.
  • ML-Based Comparative Analysis of Interconnect RC Estimation in Progressive Stacked Circuits
    M. Parvathi, Anwar Bhasha Pattan
    Lecture Notes on Data Engineering and Communications Technologies, 2022

RECENT SCHOLAR PUBLICATIONS

  • Integration of Internet of Things and Machine Learning: Design Models, Architectures and Application
    M Khan, F Shaik, S Karimullah, SL Tripathi
    CRC Press , 2026
    2026.0
    Citations: 2
  • A Comprehensive Review on Challenges, Frameworks, and Future Trends for Intelligent Security in Industrial IoT
    S Karimullah, JC Babu, AB Pattan, S Ahmad, S Jha
    Cognitive Security for Industrial IoT, 15-32 , 2026
    2026.0
  • Advanced Diabetes Prediction: A Comprehensive Analysis of Machine Learning and Deep Learning Techniques
    T Pardhu, AB Pattan, V Kumar, U Desai, B Acharya
    Decision Support System for Diabetes Healthcare: Advancements and … , 2025
    2025.0
  • Segmentation of MRI images using a combination of active contour modeling and morphological processing
    SK Veeramalla, V Hindumathi, TV Reddy, AB Pattan, TPK NANDAN
    Journal of Mechanics in Medicine and Biology 23 (04), 2340002 , 2023
    2023.0
    Citations: 7
  • ML-Based Comparative Analysis of Interconnect RC Estimation in Progressive Stacked Circuits
    M Parvathi, AB Pattan
    Evolutionary Computing and Mobile Sustainable Networks: Proceedings of … , 2022
    2022.0
    Citations: 2
  • Booting Testcase Development for XILINX FPGA Devices
    CRR Dr. Anwar Bhasha Pattan, Ch. Yugasri Devi, K. Bhavani Sai Pooja, G. Manisha
    International Journal of Scientific Research in Engineering and Management 4 (5) , 2020
    2020.0
  • Low Power and High Performance Structures for Fast Fourier Transform Processor
    AB Pattan, MM Latha
    International Journal of Computer Applications 975, 8887 , 2015
    2015.0
  • Fast Fourier Transform Architectures: A Survey and State of the Art
    AB Pattan, DMM Latha
    International Journal of Electronics & Communication Technology 5 (4), 94-98 , 2014
    2014.0
    Citations: 5
  • Design of a Flood Warning System based on F-Bus Protocol
    GC Madhu, YV Narayana, J Jhansi, SA Basha, SA Hussain
    Networking and Communication Engineering, 921-924 , 2012
    2012.0
  • Implementation of VoIP Using Session Initiation Protocol
    GA Naidu, P Chandrasekhar, K Srinivas, AB Pattan
    Networking and Communication Engineering, 481-485 , 2011
    2011.0
  • 95 Enhancing Remote Healthcare with Internet of Things: An Integrated Imaging and Machine Learning Methodology for Accurate Retinal Disease Diagnosis
    M Khan, F Shaik, A Bhasha Pattan, S Karimullah
    Integration of Internet of Things and Machine Learning: Design Models … , 0
  • Intelligent Blood Bank Management Using Internet of Things for Enhanced Healthcare Delivery
    BR Lomada, B Sreenivasulu, AB Pattan, M Khan, S Karimullah
    Integration of Internet of Things and Machine Learning, 131-150 , 0
  • Enhancing Remote Healthcare with Internet of Things: An Integrated Imaging and Machine Learning Methodology for Accurate Retinal Disease Diagnosis
    M Khan, F Shaik, AB Pattan, S Karimullah
    Integration of Internet of Things and Machine Learning, 95-114 , 0
  • Heart Rate Estimation Using an Electrocardiogram-Aided Photoplethysmography Signal Quality Assessment Framework
    KNS Reedy, P Hariobulesu, S Karimullah, AB Pattan, F Shaik
    Integration of Internet of Things and Machine Learning, 348-359 , 0
  • Improved Fetal Electrocardiogram Detection Using a Hybrid Wavelet-Based Denoising Method
    KNS Reedy, P Hariobulesu, S Karimullah, AB Pattan, F Shaik, M Khan
    Integration of Internet of Things and Machine Learning, 333-347 , 0
    Citations: 1
  • The Terminal System Design based on hybrid RFID-GPS in Vehicular communications
    A Rajasekharreddy, P Anwarbasha
    International Journal of Modern Engineering Research (IJMER) 2 (4) , 0
    Citations: 3
  • Complexity Analysis of an 8 point FFT Processor for different Butterfly Structures
    MM Latha, AB Pattan

MOST CITED SCHOLAR PUBLICATIONS

  • Segmentation of MRI images using a combination of active contour modeling and morphological processing
    SK Veeramalla, V Hindumathi, TV Reddy, AB Pattan, TPK NANDAN
    Journal of Mechanics in Medicine and Biology 23 (04), 2340002 , 2023
    2023.0
    Citations: 7
  • Fast Fourier Transform Architectures: A Survey and State of the Art
    AB Pattan, DMM Latha
    International Journal of Electronics & Communication Technology 5 (4), 94-98 , 2014
    2014.0
    Citations: 5
  • The Terminal System Design based on hybrid RFID-GPS in Vehicular communications
    A Rajasekharreddy, P Anwarbasha
    International Journal of Modern Engineering Research (IJMER) 2 (4) , 0
    Citations: 3
  • Integration of Internet of Things and Machine Learning: Design Models, Architectures and Application
    M Khan, F Shaik, S Karimullah, SL Tripathi
    CRC Press , 2026
    2026.0
    Citations: 2
  • ML-Based Comparative Analysis of Interconnect RC Estimation in Progressive Stacked Circuits
    M Parvathi, AB Pattan
    Evolutionary Computing and Mobile Sustainable Networks: Proceedings of … , 2022
    2022.0
    Citations: 2
  • Improved Fetal Electrocardiogram Detection Using a Hybrid Wavelet-Based Denoising Method
    KNS Reedy, P Hariobulesu, S Karimullah, AB Pattan, F Shaik, M Khan
    Integration of Internet of Things and Machine Learning, 333-347 , 0
    Citations: 1
  • A Comprehensive Review on Challenges, Frameworks, and Future Trends for Intelligent Security in Industrial IoT
    S Karimullah, JC Babu, AB Pattan, S Ahmad, S Jha
    Cognitive Security for Industrial IoT, 15-32 , 2026
    2026.0
  • Advanced Diabetes Prediction: A Comprehensive Analysis of Machine Learning and Deep Learning Techniques
    T Pardhu, AB Pattan, V Kumar, U Desai, B Acharya
    Decision Support System for Diabetes Healthcare: Advancements and … , 2025
    2025.0
  • Booting Testcase Development for XILINX FPGA Devices
    CRR Dr. Anwar Bhasha Pattan, Ch. Yugasri Devi, K. Bhavani Sai Pooja, G. Manisha
    International Journal of Scientific Research in Engineering and Management 4 (5) , 2020
    2020.0
  • Low Power and High Performance Structures for Fast Fourier Transform Processor
    AB Pattan, MM Latha
    International Journal of Computer Applications 975, 8887 , 2015
    2015.0
  • Design of a Flood Warning System based on F-Bus Protocol
    GC Madhu, YV Narayana, J Jhansi, SA Basha, SA Hussain
    Networking and Communication Engineering, 921-924 , 2012
    2012.0
  • Implementation of VoIP Using Session Initiation Protocol
    GA Naidu, P Chandrasekhar, K Srinivas, AB Pattan
    Networking and Communication Engineering, 481-485 , 2011
    2011.0
  • 95 Enhancing Remote Healthcare with Internet of Things: An Integrated Imaging and Machine Learning Methodology for Accurate Retinal Disease Diagnosis
    M Khan, F Shaik, A Bhasha Pattan, S Karimullah
    Integration of Internet of Things and Machine Learning: Design Models … , 0
  • Intelligent Blood Bank Management Using Internet of Things for Enhanced Healthcare Delivery
    BR Lomada, B Sreenivasulu, AB Pattan, M Khan, S Karimullah
    Integration of Internet of Things and Machine Learning, 131-150 , 0
  • Enhancing Remote Healthcare with Internet of Things: An Integrated Imaging and Machine Learning Methodology for Accurate Retinal Disease Diagnosis
    M Khan, F Shaik, AB Pattan, S Karimullah
    Integration of Internet of Things and Machine Learning, 95-114 , 0
  • Heart Rate Estimation Using an Electrocardiogram-Aided Photoplethysmography Signal Quality Assessment Framework
    KNS Reedy, P Hariobulesu, S Karimullah, AB Pattan, F Shaik
    Integration of Internet of Things and Machine Learning, 348-359 , 0
  • Complexity Analysis of an 8 point FFT Processor for different Butterfly Structures
    MM Latha, AB Pattan