DIU Faculty Publication: Recent submissions

  • A Method for Bengali Author Detection Using State of the Arts Supervised Machine Learning Classifiers 
    Hamid, Md. Abdul; Marjana, Nusrat Jahan; Tumpa, Eteka Sultana; Khan, Md. Rafidul Hasan; Afroz, Umme Sanzida; Rahman, Md. Sadekur (Springer, 2023-09-15)
    Text classification is an important topic of study in the area of natural language Processing. To identify the authorship of the provided Bangla text, we create a model using the State of Arts Supervised method. Because ...
  • 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 ...
  • 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, ...
  • 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 ...
  • A Machine Learning Approach for Emotion Classification in Bengali Speech 
    Islam, Md. Rakibul; Akhi, Amatul Bushra; Akter, Farzana; Rashid, Md Wasiul; Rumu, Ambia Islam; Lata, Munira Akter; Ashrafuzzaman, Md. (Institute of Electrical and Electronics Engineers Inc., 2023-01-01)
    In this research work, we have presented a machine learning strategy for Bengali speech emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as features. The commonly utilized method of MFCC ...
  • 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 Hybrid Genetic Based Approach for Solving Vehicle Routing Problem in Cold Chain Logistics Distribution 
    Fu, Haoran; Li, Huahui; Ramayah, T.; Fu, Angran (Elsevier, 2023-01-01)
    In order to solve the problems of slow convergence speed, high total distribution cost, long total distance, large number of vehicles used and long algorithm running time in the process of solving the cold chain logistics ...
  • A Hybrid CNN and RNN Variant Model for Music Classification 
    Ashraf, Mohsin; Abid, Fazeel; Uddin, Ikram; Rasheed, Jawad; Yesiltepe, Mirsat; Yeo, Sook Fern; Erso, Merve T. (MDPI, 2023-01-22)
    Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy. Many methods have utilized ...
  • A Hidden Markov Model-based Approach for Weather Prediction in Bangladesh 
    Chowdhury, M.R.Z.; Rahman, M.M.; Tanny, N.T.; Bushra, T.A. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    In the context of Bangladesh, a country prone to diverse and often unpredictable weather patterns, reliable weather forecasts are critical for making informed decisions and mitigating the impact of extreme weather events. ...
  • A Harmful Disorder: Predictive and Comparative Analysis for fetal Anemia Disease by Using Different Machine Learning Approaches 
    Hasan, Mahadi; Tahosin, Mst. Sazia; Farjana, Afia; Sheakh, Md. Alif; Hasan, Md Maruf (IEEE, 2023)
    Anemia is a major issue for public health with significant implications for national development, it remains a largely neglected health problem in many developing countries. Iron deficiency is responsible for at least 50% ...
  • A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming 
    Natesan, P.; Sathishkumar, V. E.; Mathivanan, Sandeep Kumar; Jayagopal, Prabhu; Allayear, Shaikh Muhammad (HINDAWI, 2023-02-01)
    With the advancement of Internet technologies and the rapid increase of World Wide Web applications, there has been tremendous growth in the volume of digital data. This takes the digital world into a new era of big data. ...
  • A Deep Learning Based Poisonous Frog Detection System 
    Jahan, Mushrat; Samia, Ismot Jahan; Younus, Saima Binta; Hakim, Md. Azizul; Jahan, Mushrat (IEEE, 2023-11-23)
    Frog species across the world are vulnerable and in decline, despite the fact that frogs are an integral part of biological systems. Within this enchanting world, we encounter two intriguing groups: non-poisonous and ...
  • A Deep Learning Approach to Detect and Classification of Lung Cancer 
    Khatun, Mst. Farhana; Ajmain, Moshfiqur Rahman; Assaduzzaman, Md. (IEEE, 2023-01-26)
    Cancer is a name of fear to people in the world. Ev- ery year millions of people dead of cancer in the world and lung cancer is one of them. Lung cancer is classified by our research. Non-small cell lung cancer (NSCLC) ...
  • A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal 
    Sangeetha, S. K. B.; Mathivanan, Sandeep Kumar; Muthukumaran, V.; Pughazendi, N.; Jayagopal, Prabhu; Uddin, Md Salah (HINDAWI, 2023-02-16)
    Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness behind the wheel. Using EEG technology for driving fatigue detection still presents challenges in extracting informative elements ...
  • A Deep Learning Approach to Detect Breast Cancer Disease from Mammogram Images 
    Sohel, Amir; Hossain, Shahed; Hasan, Md Umaid; Islam, Onamika; Das, Utpal Chandra; Rahman, Md. Mahfuzur (IEEE, 2023-12-15)
    Breast cancer is a significant cause of mortality among women. Breast cancer is regarded as the most severe concern among women. The early detection of breast cancer can potentially impact mortality rates significantly. ...
  • A Deep Learning Approach for Bengali News Headline Categorization 
    Bandan, Sheikh Sadi; Sunve, Sabid Ahmed; Romel, Shaklian Mostak (IEEE, 2023-08-08)
    A huge amount of information and data is now available in seconds through the internet. Due to the availability of internet in the world, as the amount of online news is increasing on the one hand, people are interested ...
  • A Data-Driven Approach to Forecasting Bangladesh Next-Generation Economy 
    Shohug, Md. Mahfuj Hasan; Bitto, Abu Kowshir; Rubi, Maksuda Akter; Bijoy, Md. Hasan Imam; Rahaman, Ashikur (Springer, 2023-05-16)
    Bangladesh is the most populous country on the planet. We recognized Bangladesh as an independent sovereign country, yet despite its large population, Bangladesh lags far behind the world’s wealthiest nations. In the ...
  • A Critical Review on the Potency of Phytoconstituents in the Management of COVID-19 
    Raman, Kannan; Rajagopal, Kalirajan; Swaminathan, Gomathi; Jupudi, Srikanth; Dhama, Kuldeep; Barua, Rashu; Emran, Talha Bin; Osman, Hamid; Khandaker, Mayeen Uddin (JPAM, 2023-09-02)
    Natural products and their derivatives have traditionally been used as a source of therapeutic agents. Their beneficial properties are due to large varieties in their chemical structures and biochemical actions. The discovery ...
  • A Convolutional Neural Network Based Potato Leaf Diseases Detection Using Sequential Model 
    Bonik, Choyon Chandra; Akter, Flora; Rashid, Md. Harunur; Sattar, Abdus (IEEE, 2023-04-03)
    One of Bangladesh’s primary agricultural products is the potato. In recent decades, Bangladesh has seen a surge in the popularity of potato farms. Nonetheless, farmer’s expenses in potato production are rising as a result ...
  • A Convolutional Neural Network Based Classification Approach for Breast Cancer Detection 
    Rashid, Md Harun Or; Shahriyar, S. M.; Shamrat, F M Javed Mehedi; Mahbub, Tanzil; Tasnim, Zarrin; Ahmed, Md Zunayed (IEEE, 2023-05-24)
    Thousands of women worldwide are diagnosed with breast cancer yearly, which may be fatal if not treated. The diagnosis of the condition may take years, by which time the patient has little choice except to have the affected ...

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