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Browsing Articles by Subject "Machine Learning"

Browsing Articles by Subject "Machine Learning"

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  • An Analysis on Breast Disease Prediction Using Machine Learning Approaches 
    Shamrat, F. M. Javed Mehedi; Raihan, Md. Abu; Rahman, A.K.M. Sazzadur; Mahmud, Imran; Akter, Rozina (International Journal of Scientific and Technology Research, 2020)
    The central aspect of this study is to evaluate the different Machine learning classifier's performance for the prediction of breast cancer disease. In this work, we have used six supervised classification techniques for ...
  • Bangla Toxic Comment Classification (Machine Learning and Deep Learning Approach) 
    Jubaer, A.N.M.; Sayem, Abu; Rahman, Md. Ashikur (IEEE, 2019-11)
    Toxic comment classification problem is a popular classification problem nowadays. There are many attempts in English but it's rare in Bangla language. We tried to build a classifier for Bangla language. We tried different ...
  • Classification of Pap Smear Image of Cervix Cell Using Machine Learning Techniques and Transfer Learning-Based Convolutional Neural Network Architecture and Scrutinizing Their Performances 
    Bhuiyan, Mazedul Haque; Arju, Muhammad Ashfakur Rahman (Springer, 2023-11-06)
    Different cervical pap smear cell categorization schemes have recently been presented, the majority of which were binary classifications of normal and abnormal cells. This paper presents the findings of a comprehensive ...
  • Dual Band Antenna Design and Prediction of Resonance Frequency Using Machine Learning Approaches 
    Haque, Md. Ashraful; Sarker, Nayan; Singh, Narinderjit Singh Sawaran; Rahman, Md Afzalur; Hasan, Md. Nahid; Islam, Mirajul; Zakariya, Mohd Azman; Paul, Liton Chandra; Sharker, Adiba Haque; Abro, Ghulam E. Mustafa; Hannan, Md; Pk, Ripon (Scopus, 22-10-18)
    An inset fed-microstrip patch antenna (MPA) with a partial ground structure is constructed and evaluated in this paper. This article covers how to evaluate the performance of the designed antenna by using a combination ...
  • An Efficient Modified Bagging Method for Early Prediction of Brain Stroke 
    Alam, Md. Mahabur; Hasan, Md. Mehadi; Hasan, Md. Zahid (Scopus, 2019-07-12)
    Brain stroke become a serious cardiovascular and cerebral disease causes of human death. Precisely predicting stroke effect from a set of predictive attributes may classify high-risk patients and guide cure approaches, ...
  • An Empirical Study of Cervical Cancer Diagnosis using Ensemble Methods 
    Karim, Enamul; Neehal, Nafis (Scopus, 2019-05-05)
    Cervical Cancer, being one of the most pressing issues now-a-days, needs to be addressed properly. With a view to achieving an accurate diagnosis method for Cervical Cancer by screening the risk factors, different machine ...
  • A Hybrid Environment Control System Combining EMG and SSVEP Signal Based on Brain-computer Interface Technology 
    Rashid, Mamunur; Bari, Bifta Sama; Sulaiman, Norizam; Mustafa, Mahfuzah; Hasan, Md Jahid; Islam, Md Nahidul; Naziullah, Shekh (SN Applied Sciences, 2021-08-23)
    The patients who are impaired with neurodegenerative disorders cannot command their muscles through the neural pathways. These patients are given an alternative from their neural path through Brain-Computer Interface (BCI) ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid (IEEE, 2021-01)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid; Zeba, Nahid; Malek, Md. Abdul; Reya, Sanjida Sultana (Scopus, 2021)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • Performance Analysis of Chronic Kidney Disease through Machine Learning Approaches 
    Emon, Minhaz Uddin; Imran, Al Mahmud; Islam, Rakibul; Keya, Maria Sultana; Zannat, Raihana; Ohidujjaman, Ohidujjaman (Scopus, 2021)
    Data mining and machine learning play a vital role in health care and also medical information and detection, Now a day machine learning techniques use awareness of some major health risks such as diabetic prediction, brain ...
  • Performance Analysis of Machine Learning Approaches in Stroke Prediction 
    Emon, Minhaz Uddin; Keya, Maria Sultana; Meghla, Tamara Islam; Rahman, Md. Mahfujur; Al Mamun; M Shamim; Kaiser, M Shamim (Scopus, 2020-12-28)
    Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke. This research work proposes an ...
  • Plant Diseases Recognition Using Machine Learning 
    Ullah, Md Rahmat; Dola, Nagifa Anjum; Sattar, Abdus; Hasnat, Abir (Scopus, 2020)
    The way a doctor can predict what kind of diseases a patient is suffering from, similarly, the fastest stratagem of predicting plant diseases is to analyze leaf's physiognomy changes and compare them with their actual ...
  • Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019 
    Moon, Nazmun Nessa; Hossain, Refath Ara; Jahan, Israt; Shakil, Shahriar; Uddin, Shihab; Hassan, Mahmudul; Nu, Fernaz Narin (Daffodil International University, 22-06-18)
    The novel coronavirus disease 2019 (COVID-19) current pandemic is a worldwide health emergency like no other. It is not the only COVID-19 infection in infants, children, and adolescents that is causing concern among their ...
  • Product Review Sentiment Analysis by Using NLP and Machine Learning in Bangla Language 
    Shafin, Minhajul Abedin; Hasan, Md. Mehedi; Alam, Md. Rejaul; Mithu, Mosaddek Ali; Nur, Arafat Ulllah; Faruk, Md. Omar (Scopus, 2020)
    In this era of internet technology, in Bangladesh, online marketing or e-commerce businesses were already thriving. Due to the COVID-19 pandemic, as people are in lockdown, online shopping became the main platform for ...
  • Road Object Detection in Bangladesh Using Faster R-CNN 
    Datta, Anik; Meghla, Tamara Islam; Khatun, Tania; Bhuiya, Mehedi Hasan; Shuvo, Shakilur Rahman; Rahman, Md. Mahfujur (Scopus, 2020)
    The importance of object detection in our lives is increasing day by day. The role of object detection is very important in autonomous cars, intelligent driving assistance, and advanced traffic analysis. In the case of ...
  • Smart Risk Prediction Tools of Appendicitis Patients 
    Masud, Fuyad Al; Royel, Md. Rejaul Islam; Sajal, Md. Mizanur Hasan Khan; Jahan, Sohely; Paul, Bikash Kumar; Ahmed, Kawsar (Springer, 2021)
    Appendicitis is a common disease or sickness that can cause serious complications. A person’s appendix gets infected and painful due to appendicitis. In this study, an android based application has been developed by ...
  • Solar PV Power Forecasting Using Traditional Methods and Machine Learning Techniques 
    Alam, Ahmed Manavi; Masood, Nahid-Al-; Razee, Iqbal Asif; Zunaed, Mohammad (Scopus, 2021)
    The stability of the power sector has become uncertain due to the unpredictable characteristics of renewable energy sources such as solar photovoltaic (PV) power generation. It endangers the balance of the power system ...
  • Text Classification on Twitter Data Using Machine Learning Algorithm 
    Ruchika; Sharma, Mayank; Hossain, Syed Akhtar (Scopus, 2021)
    Classification of text is the major challenge faced by the industries so that they can extract the required information from that data. With the advent of machine learning, it becomes a lot easier for the engineers to ...
  • Toward an Enhanced Bengali Text Classification Using Saint and Common Form 
    Ria, Nushrat Jahan; Khushbu, Sharun Akter; Yousuf, Mohammad Abu; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2020)
    Language processing tool has been strengthened by the measurements of text classification. Due to this concern many approaches investigate through the text documentation problem. Behalf of this conception we have focused ...

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