DIU Faculty Publication: Recent submissions

  • 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 ...
  • A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time 
    Khan, Inam Ullah; Raiaan, Mohaimenul Azam Khan; Fatema, Kaniz; Azam, Sami; Rashid, Rafi Ur; Mukta, Saddam Hossain; Jonkman, Mirjam; Boer, Friso De (MDPI, 2023-05-28)
    Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present DR screening method requires the skill ...
  • A Computer Vision-Based Approach for Accurate Fire Image Classification 
    Rahman, Fahim Ur; Chowdhury, Fabia; Ahamed, Md. Sazzadur (Institute of Electrical and Electronics Engineers Inc., 2023-12-13)
    Destructive elements like fire quickly affect us with detrimental effects and to prevent their devastating damages, some preventive measures need to be taken immediately. As a large number of live are claimed due to ...
  • A Comprehensive Study of Sentiment Analysis on Covid19 Vaccine using ML and DL Based on Social Media Reaction of Bangladeshi People 
    Ahamed, Shafin; Hadi, Hanzala Ahamed; Ali, Md. Ahad; Pervej, Md.; Mamun, Md. Shariar (Scopus, 2023-03-01)
    Recently world is passing through a deadly pandemic called COVID-19. A global pandemic that was introduced or some say produced first in Wuhan, CHINA, and within some months spread around the world creating chaos in people's ...
  • A Comprehensive Study of DCNN Algorithms-based Transfer Learning for Human Eye Cataract Detection 
    Jidan, Omar Jilani; Paul, Susmoy; Roy, Anirban; Khushbu, Sharun Akter; Islam, Mirajul; Badhon, S.M. Saiful Islam (IJACSA, 2023-06-01)
    This study presents a comparative analysis of different deep convolutional neural network (DCNN) architectures, including VGG19, NASNet, ResNet50, and MobileNetV2, with and without data augmentation, for the automatic ...
  • A Comprehensive Roadmap on Bangla Text-Based Sentiment Analysis 
    Shammi, Shumaiya Akter; Das, Sajal; Chakraborty, Narayan Ranjan; Banshal, Sumit Kumar; Nath, Nishu (Springer, 2022-09-20)
    The effortless expansion of Internet access has eventually transformed the dissemination behavior toward E-Mode. Thus, the usage of online or, more specifically, “Digital” texts has expanded abruptly. “Bangla,” the seventh ...
  • A Comprehensive Review on Neuroendocrine Neoplasms 
    Sultana, Qamar; Kar, Jill; Verma, Amogh; Sanghvi, Shreya; Kaka, Nirja; Patel, Neil; Sethi, Yashendra; Chopra, Hitesh; Kamal, Mohammad Amjad; Greig, Nigel H. (MDPI, 2023-08-05)
    Neuroendocrine neoplasms (NENs) are a group of heterogeneous tumors with neuroen- docrine differentiation that can arise from any organ. They account for 2% of all malignancies in the United States. A significant proportion ...
  • A Comprehensive Review on Family Budget Management 
    Unknown author (Springer, 2023-11)
    In the modern economic era, households have become one of the most significant corporate entities, and personal finances are essential management-related topics. Effective management of personal finances at a family level ...
  • A Comprehensive Review on Big Data for Industries 
    Sarker, Supriya; Arefin, Mohammad Shamsul; Kowsher, Md.; Bhuiyan, Touhid; Kwon, Oh-Jin; Dhar, Pranab Kumar (IEEE, 2022-12-26)
    Technological advancements in large industries like power, minerals, and manufacturing are generating massive data every second. Big data techniques have opened up numerous opportunities to utilize massive datasets in ...

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