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Browsing by Author "Azam, Sami"

Browsing by Author "Azam, Sami"

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  • A Framework to Address Security Concerns in Three Layers of IoT 
    Jose, Alwyn; Azam, Sami; Karim, Asif; Shanmugam, Bharanidharan; Faisal, Fahad; Islam, Ashraful; De Boer, Friso; Jonkma, Mirjam (IEEE, 2020-11)
    The Internet of Things (IoT) is becoming part of many aspects of our life, including healthcare, home utilities, retail, energy, logistics, etc. This prolific and ubiquitous nature of IoT based systems brings with it the ...
  • A Framework to Address Security Concerns in Three Layers of IoT 
    Jose, Alwyn; Azam, Sami; Karim, Asif; Shanmugam, Bharanidharan; Faisal, Fahad; Islam, Ashraful; De Boer, Friso; Jonkman, Mirjam (IEEE, 2020-11-20)
    The Internet of Things (IoT) is becoming part of many aspects of our life, including healthcare, home utilities, retail, energy, logistics, etc. This prolific and ubiquitous nature of IoT based systems brings with it the ...
  • Graph Neural Network-Based Breast Cancer Diagnosis Using Ultrasound Images With Optimized Graph Construction Integrating the Medically Significant Features 
    Chowa, Sadia Sultana; Azam, Sami; Montaha, Sidratul; Payel, Israt Jahan; Bhuiyan, Md Rahad Islam; Hasan, Md. Zahid; Jonkman, Mirjam (MDPI Publications, 2023-11-20)
    Purpose An automated computerized approach can aid radiologists in the early diagnosis of breast cancer. In this study, a novel method is proposed for classifying breast tumors into benign and malignant, based on the ...
  • High-Precision Multiclass Classification of Lung Disease Through Customized MobileNetV2 From Chest X-Ray Images 
    Shamrat, FM Javed Mehedi; Azam, Sami; Karim, Asif; Ahmed, Kawsar; Bui, Francis M.; Boer, Friso De (Elsevier, 2023-02-10)
    In this study, multiple lung diseases are diagnosed with the help of the Neural Network algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia, Pneumothorax, Atelectasis, Edema, Effusion, ...
  • Intelligent Identification of Hate Speeches To Address the Increased Rate of Individual Mental Degeneration 
    Ava, Lamima Tabassum; Karim, Asif; Hassan, Md. Mehedi; Faisal, Fahad; Azam, Sami; Al Haque, A S M Farhan; Zaman, Sadika (Elsevier B.V., 2023-02-14)
    Hate speech is a public statement that demonstrates resentment or provokes disturbance towards a person or group often based upon race, age, religion, sexual orientation, minority group, psychical disability, political ...
  • A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images 
    Raiaan, Mohaimenul Azam Khan; Fatema, Kaniz; Khan, Inam Ullah; Azam, Sami; Rashid, Md. Rafi Ur; Mukta, Md. Saddam Hossain; Jonkman, Mirjam (IEEE, 2023-05-01)
    Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood vessel damage can lead to vision loss and blindness if not recognized at an early stage. Manual DR detection using large fundus ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • Mitigating the Latency Induced Delay in IP Telephony Through an Enhanced De-Jitter Buffer 
    Karim, Asif; Ahmed, Eshtiak; Azam, Sami; Ghosh, Pronab (Springer, 2022-07-21)
    IP telephony or voice over IP (VoIP) at present is promising a shining future for voice services. There are several technical aspects which make the technology attractive; on the other hand, few technical loopholes and ...
  • MNet-10 
    Montaha, Sidratul; Azam, Sami; Rafid, A. K. M. Rakibul Haque; Hasan, Md. Zahid; Karim, Asif; Hasib, Khan Md.; Patel, Shobhit K.; Jonkman, Mirjam; Mannan, Zubaer Ibna (Daffodil International University, 2022-08-22)
    Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous because of the complex structure of cancerous lesions in different imaging modalities, high degree of resemblance between inter-classes, ...
  • Modern Tree Plantation System Based on IOT 
    Bithi, Muskan Hossain; Faisal, Fahad; Karim, Asif; Azam, Sami; Shanmugam, Bharanidharan; Lakshmiganthan, Rajasekaran (Proceedings of the 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020, IEEE, 2020-11-10)
    The disruption in the ecosystem and the atmosphere surrounding it by different pollutant categories, it can be cited as environmental pollution and when these pollutants are present in the air in form of chemicals or ...
  • A Novel Data and Model Centric Artificial Intelligence Based Approach in Developing High-Performance Named Entity Recognition for Bengali Language 
    Lima, Khadija Akter; Hasib, Khan Md; Azam, Sami; Karim, Asif; Montaha, Sidratul; Noori, Sheak Rashed Haider; Jonkman, Mirjam (PLOS ONE, 2023-09-22)
    Named Entity Recognition (NER) plays a significant role in enhancing the performance of all types of domain specific applications in Natural Language Processing (NLP). According to the type of application, the goal of NER ...
  • A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer 
    Ghosh, Pronab; Azam, Sami; Hasib, Khan Md.; Karim, Asif; Jonkman, Mirjam; Anwar, Adnan (2021 International Joint Conference on Neural Networks (IJCNN), IEEE, 2021-09-21)
    Breast Cancer is one of the leading causes of death worldwide. Early detection is very important in increasing survival rates. Intensive research is therefore done to improve early detection of such cancers through the use ...
  • Priority-based Offloading and Caching in Mobile Edge Cloud 
    Nur, Fernaz Narin; Islam, Saiful; Moon, Nazmun Nessa; Karim, Asif; Azam, Sami; Shanmugam, Bharanidharan (Journal of Communications Software and Systems, 2019)
    Mobile Edge Computing (MEC) is relatively a novel concept in the parlance of Computational Offloading. MEC signifies the offloading of intensive computational tasks to the cloud which is generally positioned at the edge ...
  • A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images 
    Fatema, Kaniz; Montaha, Sidratul; Rony, Md. Awlad Hossen; Azam, Sami; Hasan, Md. Zahid; Jonkman, Mirjam (Scopus, 22-11-07)
    Heart disease can be life-threatening if not detected and treated at an early stage. The electrocardiogram (ECG) plays a vital role in classifying cardiovascular diseases, and often physicians and medical researchers examine ...
  • A Shallow Deep Learning Approach To Classify Skin Cancer Using Down-Scaling Method To Minimize Time and Space Complexity 
    Sidratul, Montaha; Azam, Sami; Rafid, A. K. M. Rakibul Haque; Islam, Sayma; Ghosh, Pronab; Jonkman, Mirjam (Daffodil International University, 2022-08-04)
    The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated ...
  • SkinNet-16 
    Ghosh, Pronab; Azam, Sami; Quadir, Ryana; Karim, Asif; Shamrat, F. M. Javed Mehedi; Bhowmik, Shohag Kumar; Jonkman, Mirjam; Hasib, Khan Md.; Ahmed, Kawsar (Daffodil International University, 2022-08-18)
    Skin cancer these days have become quite a common occurrence especially in certain geographic areas such as Oceania. Early detection of such cancer with high accuracy is of utmost importance, and studies have shown that ...
  • Smart Electrification of Rural Bangladesh through Smart Grids 
    Debnath, Dhrupad; Siddique, Abdul Hasib; Hasan, Mehedi; Faisal, Fahad; Karim, Asif; Azam, Sami; Boer, Friso De (Scopus, 2021)
    A smart grid is a new technology that integrates power systems with communication systems. It is an intelligent and efficient management system that has self-healing capabilities. The smart grid can be applied to manage ...
  • Time Distributed -CNN-LSTM 
    Montaha, Sidratul; Azam, Sami; Rafid, A. K. M. Rakibul Haque; Hasan, MD. Zahid; Karim, Asif; Islam, Ashraful (Daffodil International University, 2022-06-10)
    Identification of brain tumors at an early stage is crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges of tumor biopsies, three dimensional (3D) Magnetic ...
  • Using Blockchain Technology for File Synchronization 
    Khan, MD. Ibrahim; Faisal, Fahad; Azam, Sami; Karim, Asif; Shanmugam, Bharanidharan; Boer, Friso De (IOP Conference Series: Materials Science and Engineering, 2019)
    Modern storage technology has shifted from traditional offline state to cloud based technology since some time now. Because of this transition, the present society is now more dependent on the online storage solutions. ...
  • Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality 
    Azam, Sami; Montaha, Sidratul; Fahim, Kayes Uddin; Rafid, A.K.M. Rakibul Haque; Mukta, Md. Saddam Hossain; Jonkman, Mirjam (Daffodil International University, 2023-05)
    Convolutional neural networks (CNNs) have been established for a comprehensive range of computer vision problems across several benchmarks. Visualization and analysis of feature maps generated by convolutional layers can ...

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