DIU Faculty Publication: Recent submissions

  • Rice Disease Detection Based on Image Processing Technique 
    Rahman, Md. Asfaqur; Shoumik, Md. Shahriar Nawal; Rahman, Md. Mahbubur; Hena, Most. Hasna (Springer, 2021)
    Rice plant diseases are major problems in Bangladesh. Detection and monitoring of these rice plant diseases is a critical issue. Rice plants are affected in various kind of disease like hispa, brown spot, and leaf blast ...
  • Mango Species Detection from Raw Leaves Using Image Processing System 
    Hena, Most. Hasna; Sheikh, Md. Helal; Reza, Md. Shamim; Marouf, Ahmed Al (Springer, 2021)
    Mango is the national tree of Bangladesh which is one of the most popular fruits here during the hot summer enriching the highest quality of nutrition. Various species of mango cover the fruit market making the summer ...
  • EduBot: 
    Muid, Md. Abdullah Al; Reza, Md. Masum; Kalim, Ruhullah Bin; Ahmed, Nayeem; Habib, Md. Tarek; Rahman, Md. Sadekur (Springer, 2021)
    In the present time Chatbot is an essential tool used by many organizations to provide services to their targeted customers round the clock. This research focuses on a domain-specific Chatbot that can be helpful for ...
  • Student’s Performance Prediction Using Data Mining Technique Depending On Overall Academic Status and Environmental Attributes 
    Shetu, Syeda Farjana; Saifuzzaman, Mohd; Moon, Nazmun Nessa; Sultana, Sharmin; Yousuf, Ridwanullah (Springer, 2021)
    In the education sector, it has been a challenging task to identify the students individually to take appropriate actions to get a very deserving outcome from them. On the other hand, a student getting higher education ...
  • Weather Status Prediction of Dhaka City Using Machine Learning 
    Jamal, Sadia; Bappy, Tanvir Hossen; Pervin, Roushanara; Rabby, AKM Shahariar Azad (Springer, 2021)
    Weather forecasting refers to understanding the weather condition for the days or moments ahead. It is one of the blessings of modern science to be able to make the weather predictions from previous quantitative data. ...
  • 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 ...
  • Digital Signature Authentication Using Asymmetric Key Cryptography with Different Byte Number 
    Hossen, Md. Sagar; Tabassum, Tasfia; Islam, Md. Ashiqul; Karim, Rafat; Rumi, Laila Sultana; Kobita, Aysha Akter (Springer, 2021)
    Nowadays, each and every system needs proper security. Only proper security can save important documents. There are different types of security systems that people use for safety. Digital Signature is one kind of a security ...
  • Data Security System for a Bank Based On Two Different Asymmetric Algorithms Cryptography 
    Islam, Md. Ashiqul; Kobita, Aysha Akter; Hossen, Md. Sagar; Rumi, Laila Sultana; Karim, Rafat; Tabassum, Tasfia (Springer, 2021)
    Recently, a strong security system is very important for a safe banking system. To prevent hacking of important information of bank and client, a secure banking system is a must. This paper deals with a strong security ...
  • Integration of Block chain and Remote Database Access Protocol-Based Database 
    Sadeq, Muhammad Jafar; Kabir, S. Rayhan; Akter, Marjan; Forhat, Rokeya; Haque, Rafita; Akhtaruzzaman, Md. (, 2021)
    Many companies are relying on software to manage their businesses. Usually, the software, especially those used by smaller companies, is not secure against unauthorized or unethical data manipulation on the database level. ...
  • MediNET: 
    Bhuiyan, Md. Rafiuzzaman; Oaphy, Md. Abdullahil-; Khanam, Rifa Shanzida; Islam, Md. Sanzidul (Scopus, 2021)
    Medicine is the only thing by which we use where we feel bad condition of our body’s physical and mental illness. Most of medicines are made of specific plants from our nature. These plants are also known as a medicinal ...
  • Crime Rate Prediction Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika; Sattar, Abdus (Scopus, 2021)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily ...
  • Classifying the Usual Leaf Diseases of Paddy Plants in Bangladesh Using Multilayered CNN Architecture 
    Oaphy, Md. Abdullahil-; Bhuiyan, Md. Rafiuzzaman; Islam, Md. Sanzidul (Scopus, 2021)
    More than 130 million people in Bangladesh depend on rice as their main food. Half of the employment of the rural area and the agricultural GDP of Bangladesh depend on rice production. Nearly more than 10 million farmer ...
  • A Review on Automatic Speech Emotion Recognition with an Experiment Using Multilayer Perceptron Classifier 
    Sardar, Abdullah Al Mamun; Islam, Md. Sanzidul; Bhuiyan, Touhid (Scopus, 2021)
    https://link.springer.com/chapter/10.1007/978-981-15-7394-1_36Human–machine interaction is becoming popular day by day; to interact with machine, speech emotion recognition is as important as human to human interaction. ...
  • Bengali Accent Classification from Speech Using Different Machine Learning and Deep Learning Techniques 
    Badhon, S. M. Saiful Islam; Rahaman, Habibur; Rupon, Farea Rehnuma; Abujar, Sheikh (Scopus, 2021)
    The work starts with a question “Does human vocal folds produce different wavelength when they speak in different accent of same language?” Generally, when humans hear the language, they can easily classify the accent and ...
  • Bengali Accent Classification from Speech Using Different Machine Learning and Deep Learning Techniques 
    Badhon, S. M. Saiful Islam; Rahaman, Habibur; Rupon, Farea Rehnuma; Abujar, Sheikh (Scopus, 2021)
    The work starts with a question “Does human vocal folds produce different wavelength when they speak in different accent of same language?” Generally, when humans hear the language, they can easily classify the accent and ...
  • A Continuous Word Segmentation of Bengali Noisy Speech 
    Hossain, Md. Fahad; Hasan, Md. Mehedi; Ali, Hasmot; Abujar, Sheikh (Scopus, 2021)
    Human voice is an important concern of efficient and modern communication in the era of Alexa, Siri, or Google Assistance. Working with voice or speech is going to be easy by preprocessing the unwanted entities when real ...
  • A Proficient Deep Learning Approach to Classify the Usual Military Signs by CNN with Own Dataset 
    Hossain, Md. Ekram; Musa, Md.; Nisat, Nahid Kawsar; Thusar, Ashraful Hossen; Hossain, Zaman; Islam, Md. Sanzidul (Scopus, 2021)
    Every day, around the world crimes, like kidnapping or forced to do something to enemy’s command, are happening. General people are being the main victim in most cases. Hostage people are usually rescued by military or ...
  • MathNET: Using CNN Bangla Handwritten Digit, Mathematical Symbols, and Trigonometric Function Recognition 
    Shuvo, Shifat Nayme; Hasan, Fuad; Ahmed, Mohi Uddin; Hossain, Syed Akhter; Abujar, Sheikh (Scopus, 2021)
    Scientific methods are mostly based on mathematical solutions. Optical character recognition (OCR) is one of the most required solution for digitalizing and/or processing the handwritten documents into any digital form. ...
  • Bengali News Headline Generation on the Basis of Sequence to Sequence Learning Using Bi-Directional RNN 
    Masum, Abu Kaisar Mohammad; Islam, Md. Majedul; Abujar, Sheikh; Sorker, Amit Kumer; Hossain, Syed Akhter (Scopus, 2021)
    The newspaper provides significant information every day. Each news describes every event largely, but the headline contained a summary of the news. A meaningful headline is very good for a reader who can understand the ...
  • Self-powered IoT-Based Design for Multi-purpose Smart Poultry Farm 
    Akhund, Tajim Md. Niamat Ullah; Snigdha, Shouvik Roy; Reza, Md. Sumon; Newaz, Nishat Tasnim; Saifuzzaman, Mohd.; Rashel, Masud Rana (Scopus, 2021)
    The purpose of the present work is to make an IoT-based smart poultry farm system. In this work, the power supply is developed using renewable energy mainly with solar energy and nano-hydro. This IoT-based module helps to ...

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