DIU Faculty Publication: Recent submissions

  • 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, ...
  • Design and Analysis of Guided Modes in Photonic Waveguides Using Optical Neural Network 
    Anika, Nusrat Jahan; Mia, Md Borhan (Optic, Elsevier, 2021-02)
    We present a deep learning approach using an optical neural network to predict the fundamental modal indices neff in a silicon (Si) channel waveguide. We use three inputs, e.g., two geometric and one material properties, ...
  • A Web Based Four-Tier Architecture using Reduced Feature Based Neural Network Approach for Prediction of Student Performance 
    Hossen, Md. Anwar; Alamgir, Rakib Bin; Alam, Arman Ul; Siddika, Fatema; Hossain, Shah Fahad; Arman, Md. Shohel (Scopus, 2021)
    Enhancing student's performance is a significant part of developing quality education in any educational institute. It is very difficult to get promising student performance without student categorization according to their ...
  • Automatic Machine Translation for Bangla and English Resolving Ambiguities 
    Ohidujjaman; Faysal, Fahim; Sumon, Shams; Huda, Mohammad Nurul (Scopus, 2021)
    The strategic borderless knowledge sharing and development of communication interacts with dialects. Significant factors such as education, medical, business, research and others are vastly diffused over the world based ...
  • Oxyhydrogen Power Plant-The Next New Option to Energy Generation 
    Hassan, Md Shahriyar; Sarker, Md Razib; Chowdhury, Nusrat (Scopus, 2021)
    Oxyhydrogen could be a fuel, which can be a good alternative of fossil fuel. Because of the incredible dread of the consumption of petroleum derivatives, extraordinary consideration was paid to new energy assets. Scientists ...
  • Numerical Demonstration of Triangular Shaped Photonic Crystal Fibre-based Biosensor in the Terahertz Range 
    Ahmed, Kawsar; Paul, Bikash Kumar; Ahmed, Fahad; Jabin, Md. Asaduzzaman; Uddin, Muhammad Shahin (IET Optoelectronics, 2021-12)
    In this study, a novel design of microstructure ring‐based triangular mold photonic crystal fibre has been numerically investigated and introduced as an alcohol sensor in Terahertz (THz) band region to get a very high ...
  • An Empirical Analysis on the Formation of Modern Structure of the National Economy Using Digital Technology 
    Rakhimova, Saule; Goncharenko, Liudmila; Sybachin, Sergey; Nurgaliyeva, Аinash; Kunanbayeva, Kymbat; Zayed, Nurul Mohammad (Academy of Strategic Management Journal, 2021)
    A modern phase of the digital economy is now taking shape. The sharing economy is a prime example of an organization's online platform, the sum of individuals interacting for goods and services. The decentralized economy ...
  • Adsorption Mechanism of Methylene Blue by Graphene Oxide-shielded Mg-al-layered Double Hydroxide from Synthetic Wastewater 
    Dhar, Loknath; Rahman, Md Sajjadur; Hossain, Saddam; Quraishi, Shamshad B.; Saha, Koushik; Rahman, Farzana; Sarker, Uttam Kumar; Rahman, Mir Tamzid (The Journal of Physical Chemistry, 2021)
    Pollution of water resources by various pollutants is a global environmental issue, particularly, dye pollution has a major contribution to it. From various studies, it is confirmed that adsorption is an excellent remediation ...
  • Potato Disease Detection Using Machine Learning 
    Tarik, Marjanul Islam; Akter, Sadia; Al Mamun, Abdullah; Sattar, Abdus (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    In Bangladesh potato is one of the major crops. Potato cultivation has been very popular in Bangladesh for the last few decades. But potato production is being hampered due to some diseases which are increasing the cost ...
  • GDP Growth Prediction of Bangladesh Using Machine Learning Algorithm 
    Hossain, Amman; Hossen, Md; Hasan, Md Mahmudul; Sattar, Abdus (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The main objective is to predict GDP Growth by help of other parameters like GDP Per Capita, Inflation Rate, Government Debt, Total Investment, Remittance, Unemployed Rate. The complex relations are obtained by machine ...
  • The Effects of Tx./Rx. Pointing Errors on the Performance Efficiency of Local Area Optical Wireless Communication Networks 
    Eid, Mahmoud M. A.; Rashed, Ahmed Nabih Zaki; Ahammad, Mohd. Sultan; Paul, Bikash Kumar; Ahmed, Kawsar (Scopus, 2021)
    This study presents the effects of Tx./Rx. Pointing errors on the performance efficiency of local area optical wireless communication networks. The received signal power and max Q factor are measured in the presence of ...
  • An Online E-Cash Scheme with Digital Signature Authentication Cryptosystem 
    Islam, Md. Ashiqul; Hossen, Md. Sagar; Hossain, Mosharof; Nime, Jannati; Hossain, Shahed; Dutta, Mithun (Scopus, 2021)
    This paper is intended to enlighten the curious minds on how to use crypto currency easily in our day-to-day life. What bit coin really is? The relation between bank and the user, who has bit coin, describes potential ...
  • Smart Environmental Solution for Modern Urbanization Using Mobile Application 
    Fahim, Wasik Ahmmed; Sarkar, Puza Rani; Tonmoy, Shakib Salim; Pranto, Atiqur Rahman; Islam, Md. Ashiqul; Khatun, Tania (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    Nowadays modern civilization having a huge development in technology but we do not get obviate pollution due to the huge amount of population. Behind this, the most of the problem is continuously throwing the garbage's ...
  • Machine Learning Approach for Bird Detection 
    Mashuk, Farhan; Samsujjoha; Sattar, Abdus; Sultana, Nahida (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is ...
  • Pigeon Breed Recognition Using Convolutional Neural Network 
    Rahman, Maksudur; Prodhan, Sakeef Ameer; Mia, Md. Jueal; Habib, Md. Tarek; Ahmed, Farruk (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contribution to our national economy. Sometimes it's a very tough job for us to recognize pigeon breed correctly because some breed ...
  • Arabian Date Classification Using CNN Algorithm with Various Pre-trained Models 
    khayer, Md.Abu; Hasan, Md.Sakibul; Sattar, Abdus (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The people of Bangladesh have a lack of knowledge to detect fruit so many consumers suffer when they go to buy fruit every day. We know it is very difficult for consumers to detect the class of date on their naked eyes. ...
  • A Deep Learning-based Approach for Edible, Inedible and Poisonous Mushroom Classification 
    Zahan, Nusrat; Hasan, Md Zahid; Malek, Md Abdul; Reya, Sanjida Sultana (2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), IEEE, 2021-04-12)
    Mushroom is one of the fungi types' food that has the most powerful nutrients on the plant. Nevertheless, the identification of edible, inedible and poisonous mushrooms among its existing species is a must due to its high ...
  • Prediction of Thyroid Disease (Hypothyroid) in Early Stage Using Feature Selection and Classification Techniques 
    Riajuliislam, Md; Rahim, Khandakar Zahidur; Mahmud, Antara (International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021-04-12)
    Thyroid disease is one of the most common diseases among the female mass in Bangladesh. Hypothyroid is a common variation of thyroid disease. It is clearly visible that hypothyroid disease is mostly seen in female patients. ...
  • Smart Electrification of Rural Bangladesh through Smart Grids 
    Debnath, Dhrupad; Siddique, Abdul Hasib; Hasan, Mehedi; Faisal, Fahad; Karim, Asif; Azam, Sami; Boer, Friso De (Scopus, 2021)
    A smart grid is a new technology that integrates power systems with communication systems. It is an intelligent and efficient management system that has self-healing capabilities. The smart grid can be applied to manage ...
  • Simulation and Analysis of Ultra-Low Material Loss of Single-Mode Photonic Crystal Fiber in Terahertz (THz) Spectrum for Communication Applications 
    Hossain, Md. Selim; Hasan, Md. Mahedi; Sen, Shuvo; Mollah, Md. Sarwar Hossain; Azad, Mir Mohammad (Scopus, 2021)
    This analysis represents a circular shape based cladding with two elliptical shape cores in photonic crystal fiber (PCF) for the terahertz (THz) range. Here, we present a single-mode photonic crystal fiber (SM-PCF) with ...

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