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Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

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  • A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model 
    Alam, Mirza Mohtashim; Mohiuddin, Karishma; Islam, Md. Kabirul; Hassan, Mehedi; Hoque, Md. Arshad-Ul; Allayear, Shaikh Muhammad (Scopus, 2020)
    Turnover of employee considers as one of the major issue that every company faces. Especially, if the employee has advance skills at his/her working field, then the company faces great loss during that period. To find out ...
  • A Machine Learning Approach to Predict SEER Cancer 
    Abid, DM. Mehedi Hasan; Islam, Tariqul; Zaman, Zahura; Yusuf, Fahim; Assaduzzaman, Md.; Hossain, Syed Akhter; Jabiullah, Md. Ismail (Springer, 2022-07-27)
    The SEER database is among the persuading stores regarding malignancy pointers inside us. The SEER list helps impact investigation for the gigantic measure of patients’ bolstered viewpoints for the most part ordered as an ...
  • Machine Learning Approach to Predict SGPA and CGPA 
    Saifuzzaman, Mohd.; Parvin, Masuma; Jahan, Israt; Moon, Nazmun Nessa; Nur, Fernaz Narin; Shetu, Syeda Farjana (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    The prediction of SGPA and CGPA is beneficial to university students. Students will easily get an estimate of their final outcome from this project. As a result, the students will be able to brace themselves for a successful ...
  • A Machine Learning Approach to Recognize Junk Food 
    Khan, Tanjed Ahmed; Islam, Md. Shahidul; Ullah, S.M Aman; Rabby, AKM Shahariar Azad (Scopus, 2020)
    People are naturally food grains. So they are always looking for appetizing food and junk foods are the largest source of it. Recent time the most observable point is that peoples are attracted to outdoor foods than homemade ...
  • Machine Learning Based Image Classification of Papaya Disease Recognition 
    Islam, Md. Ashiqul; Islam, Md. Shahriar; Hossen, Md. Sagar; Emon, Minhaz Uddin; Keya, Maria Sultana; Habib, Ahsan (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12-28)
    To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly ...
  • Machine Learning Based Slow Learner Prediction in Educational Sector 
    Ela, N.N.; Jahan, N. (Proceedings of the 5th International Conference on Trends in Electronics and Informatics, Scopus, 2021)
    The educational sector has been proved to be a major sector where improvement measures are a must to develop the system and the curriculum which changes in every few years. Students state that in order to cope with the ...
  • Machine Learning Modeling for Reconditioned Car Selling Price Prediction 
    Abdullah, Fatema; Rahman, Md. Ataur; Shidujaman, Mohammad; Hasan, Mahady; Habib, Md. Tarek (SPIE Publications, 2023-09-19)
    Almost 80% of the vehicles required for Bangladesh's road transportation industry are supplied by reconditioned cars. Using machine learning (ML) to predict car prices refers to using ML algorithms and techniques to make ...
  • Machine Learning Technique Based Fake News Detection 
    Sutradhar, Biplob Kumar; Zonaid, Md.; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider (IEEE, 2023-01-15)
    False news has received attention from both the general public and the scholarly world. Such false information has the ability to affect public perception, giving nefarious groups the chance to influence the results of ...
  • Machine Learning Techniques for Depression Analysis on Social Media- Case Study on Bengali Community 
    Bhattacharjee, Debasish; Kawsher, Jamil; Labib, Md Shad; Latif, Subhenur (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12)
    Depression is a prevalent illness in today’s society. It changes and influences our entire method of thought and our emotional, cognitive, and everyday behavioral behaviors. It affected over 264 million people, and the ...
  • Machine Learning Techniques for Predicting Surface EMG Activities on Upper Limb Muscle 
    Roy, Joy; Ali, Md. Asraf; Ahmed, Md. Razu; Sundaraj, Kenneth (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    The aim of this review study is to analyze the techniques for predicting the surface EMG activities on upper limb muscles using different machine learning algorithms. In this study, we followed a systematic searching ...
  • Machine Learning to Reveal an Astute Risk Predictive Framework for Gynecologic Cancer and Its Impact on Women Psychology 
    Asaduzzaman, Sayed; Ahmed, Md. Raihan; Rehana, Hasin; Chakraborty, Setu; Islam, Md. Shariful; Bhuiyan, Touhid (BMC Bioinformatics, Springer, 2021-04-24)
    Background In this research, an astute system has been developed by using machine learning and data mining approach to predict the risk level of cervical and ovarian cancer in association to stress. Results For functioning ...
  • Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics 
    Rahman, Md. Ashikur; Abdulrazak, Lway Faisal; Ali, Md. Mamun; Mahmud, Imran; Ahmed, Kawsar; Bui, Francis M. (MDPI Publications, 2023-10-29)
    Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in the human body. From a clinical perspective, the most significant approach to mitigating the effects of diabetes is early-stage ...
  • A Machine Learning-Based Approach for Sentiment Analysis of Movie Reviews on a Bangladeshi OTT Platform 
    Jahan, Hasnur; Arman, Md. Shohel; Hasan, Afia; Bristy, Sabikun Nahar (Springer, 2023-12-15)
    Sentiment analysis is the examination of feelings and viewpoints in any kind of literature. Opinion mining is another phrase for sentiment analysis. The data’s sentiment analysis is quite helpful, to convey the collective, ...
  • Machine Learning-Based Depression Detection 
    Biswas, Saikat; Islam, Md.Mozahidul; Sarker, Utpaul; Hridoy, Rashidul Hasan; Habib, Md. Tarek (Springer Nature, 2023-04-14)
    Depression is an extremely serious illness of humans which causes constant mood swings and feelings of sadness. Nowadays, it is considered to be a deadly disorder in the world. At present, everyone from young to old is ...
  • Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques 
    Biswas, Niloy; Ali, Md Mamun; Rahaman, Md Abdur; Islam, Minhajul; Mia, Md. Rajib; Azam, Sami; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Moni, Mohammad Ali (Hindawi Publications, 2023-05-02)
    Almost 17.9 million people are losing their lives due to cardiovascular disease, which is 32% of total death throughout the world. It is a global concern nowadays. However, it is a matter of joy that the mortality rate due ...
  • Machine Learning-Based Technique for Resonance and Directivity Prediction of UMTS LTE Band Quasi Yagi Antenna 
    Haque, Md. Ashraful; Saha, Dipon; Al-Bawri, Samir Salem; Paul, Liton Chandra; Rahman, Md Afzalur; Alshanketi, Faisal; Alhazmi, Ali; Rambe, Ali Hanafiah; Zakariya, M.A.; Hashwan, Saeed S. Ba (Elsevier, 2023-09-01)
    In this study, we have presented our findings on the deployment of a machine learning (ML) technique to enhance the performance of LTE applications employing quasi-Yagi-Uda antennas at 2100 MHz UMTS band. A number of ...
  • A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer 
    Mridul, Aunik Hasan; Islam, Md. Jahidul; Asif, Asifuzzaman; Rahman, Mushfiqur; Alam, Mohammad Jahangir (Springer, 2023-05-23)
    Breast cancer is a physical disease and increasing in recent years. The topic is known widely in the recent world. Most women are suffering from problem of breast cancer. The disease is measured by the differences between ...
  • Machine Vision Based Rice Disease Recognition by Deep Learning 
    Kamrul, Mahadi Hasan; Paul, Pritom; Rahman, Majidur (22nd International Conference on Computer and Information Technology, ICCIT 2019, IEEE, 2020-03-19)
    Bangladesh is a land of agriculture, where people consumes rice as the main meal for three times a day. Rice is undoubtedly the most cultivated crop in Bangladesh. Like every other crops, rice also gets affected by a lots ...
  • MatriVasha 
    Ferdous, Jannatul; Karmaker, Suvrajit; Rabby, A. K. M. Shahariar Azad; Hossain, Syed Akhter (Scopus, 2021)
    Bengali or Bangla language is native to Bengal. Bengali speaks their mother tongue, which they feel comfortable. In 1952, UNESCO announced that 21st February is the international mother language day. People remember this ...
  • MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data 
    Hasib, Khan Md.; Azam, Sami; Karim, Asif; Marouf, Ahmed Al; Shamrat, F M Javed Mehedi; Montaha, Sidratul; Yeo, Kheng Cher; Jonkman, Mirjam (IEEE, 2023-08-29)
    "Searching, retrieving, and arranging text in ever-larger document collections necessitate more efficient information processing algorithms. Document categorization is a crucial component of various information ...

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