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Browsing Articles by Author "Mahmud, S. M. Hasan"

Browsing Articles by Author "Mahmud, S. M. Hasan"

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  • Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5 
    Ontor, Md Zahid Hasan; Ali, Md Mamun; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Mahmud, S. M. Hasan; Azam, Sami (Tech Science Press, 2023-01-01)
    "Cervical Cancer (CC) is a rapidly growing disease among women throughout the world, especially in developed and developing countries. For this many women have died. Fortunately, it is curable if it can be diagnosed and ...
  • Effects of Cognitive Ability, Trust and Time-saving 
    Hossain, Rifat; Mahmud, S. M. Hasan; Hossin, Md. Altab; Bhuiyan, Touhid; Hua, Yin Xiao (Lecture Notes in Networks and Systems, Springer, 2018-08-31)
    Prior research was perused the technology usage on limited factors; our aim is to investigate factor to adumbrate e-ticketing systems accuracy with further improvement and successive usage in the context of Bangladesh. To ...
  • An Efficient Deep Learning Model to Infer User Demographic Information from Ratings 
    Mahmud, S. M. Hasan (Scopus, 2019-04-17)
    Obtaining demographics of online users is of great significance to Internet service providers and advertisers. Most previous works used standard machine learning methods to infer user demographics from handcrafted features. ...
  • Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle 
    Elahe, Md Fazla; Kabir, Md Alamgir; Mahmud, S. M. Hasan; Azim, Riasat (MDPI Publications, 2023-12-23)
    The rapid growth of electric vehicles (EVs) is likely to endanger the current power system. Forecasting the demand for charging stations is one of the critical issues while mitigating challenges caused by the increased ...
  • IDTi-CSsmoteB 
    Mahmud, S. M. Hasan; Chen, Wenyu; Jahan, Hosney; Liu, Yongsheng; Sujan, Nasir Islam; Ahmed, Saeed (IEEE Access, 2019-04-11)
    Identifying interaction between drug and protein is a crucial challenge in drug discovery, which can lead the researchers to develop novel drug compounds or new target proteins for the existing drugs. The determination of ...
  • Machine Learning Approach for Software Defect Prediction 
    Hossen, Md Anwar; Islam, Md. Shariful; Yusof, Nurhafizah Abu Talip; Rahman, Md. Sakib; Siddika, Fatema; Rahman, Mostafijur; Khatun, Sabira; Karim, Mohamad Shaiful Abdul; Mahmud, S. M. Hasan (Lecture Notes in Electrical Engineering, Springer, 2020-03-24)
    The software has turn into an imperious part of human’s life. In the recent computing era, many large-scale complex network systems and millions of modern technological devices produce a huge amount of data every second. ...
  • A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron 
    Aziz, Md. Tarek; Mahmud, S. M. Hasan; Elahe, Md. Fazla; Jahan, Hosney; Rahman, Md Habibur; Nandi, Dip; Smirani, Lassaad K.; Ahmed, Kawsar; Bui, Francis M.; Moni, Mohammad Ali (MDPI, 2023-06-18)
    Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise in H&E-stained (hematoxylin and eosin ...
  • Publishing CSV Data as Linked Data on the Web 
    Mahmud, S. M. Hasan; Hossin, Md. Altab; Hasan, Md. Rezwan; Jahan, Hosney; Noori, Sheak Rashed Haider; Ahmed, Md. Razu (Scopus, 2020)
    The majority of datasets on Open Government Data (OGD) portals are stored in comma-separated values (CSV) file. Publishing CSV data as a Linked Open Data (LOD) on the Web is an active field of research. However, there are ...
  • Systems Biology Models To Identify the Influence of SARS-CoV-2 Infections to the Progression of Human Autoimmune Diseases 
    Al-Mustanjid, Md.; Mahmud, S. M. Hasan; Akter, Farzana; Rahman, Md Shazzadur; Hossen, Md Sajid; Rahman, Md Habibur; Moni, Mohammad Ali (Daffodil International University, 2022-08-02)
    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been circulating since 2019, and its global dominance is rising. Evidences suggest the respiratory illness SARS-CoV-2 has a sensitive affect on causing organ ...
  • Training Data Selection Using Ensemble Dataset Approach for Software Defect Prediction 
    Sohan, Md Fahimuzzman; Kabir, Md Alamgir; Rahman, Mostafijur; Mahmud, S. M. Hasan; Bhuiyan, Touhid (Scopus, 2020)
    Cross-project defect prediction (CPDP) is using due to the limitation of within project defect prediction (WPDP) in Software Defect Prediction (SDP) research. CPDP aims to train one project data to predict another project ...
  • YOLO_CC: Deep Learning based Approach for Early Stage Detection of Cervical Cancer from Cervix Images Using YOLOv5s Model 
    Ontor, Md Zahid Hasan; Ali, Md Mamun; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Mahmud, S. M. Hasan; Azam, Sami (Daffodil International University, 2022-08-26)
    Cervical Cancer (CC) is the fourth major cancer, which is responsible for a large number of deaths among women. Early stage detection of the cancer is the most effective solutions for decreasing the mortality rate. The ...

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