Articles: Recent submissions

  • Electric Energy Meter System Integrated with Machine Learning and Conducted by Artificial Intelligence of Things-AioT 
    Das, Nimai Chandra; Zim, Md Ziaul Haque; Sarkar, Md Sazzad (IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), IEEE, 2021-04-09)
    The field of electric power distribution is still in its infancy, and state of the art solutions from modern technology is not easily adapted. IoT and AI could also be bringing a wind of change, but hitherto in large amounts ...
  • LFNNR 
    Zim, Md Ziaul Haque; Sarkar, Md Sazzad; Nisi, Zeba Fauzia; Das, Nimai Chandra (IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), IEEE, 2021-04-09)
    Humans and animals have a brain and nervous system, and they process in-formation with neural networks. Trillions of neurons (nerve cells) exchanging brief electrical pulse called action potentials form neural networks. ...
  • Bangla News Classification Using Graph Convolutional Networks 
    Rahman, Md. Mahbubur; Khan, Md. Akib Zabed; Biswas, Al Amin (2021 International Conference on Computer Communication and Informatics (ICCCI), IEEE, 2021-04-21)
    Online Bangla news has rapidly increased in the era of the information age. Each news site has its different categorization for grouping their news. The Layout and categorization of the online Bangla news articles cannot ...
  • Gesture-based Smart Wheelchair for Assisting Physically Challenged People 
    Basak, Sarnali; Nandiny, Fariha Faruque; Chowdhury, S. M. Mazharul Hoque; Biswas, Al Amin (2021 International Conference on Computer Communication and Informatics (ICCCI) , IEEE, 2021-04-21)
    A lot of people in Bangladesh suffer from mobility impairments and being neglected in many steps of their life. Despite having the ability to do something outstanding, it is not possible to express that for this huge portion ...
  • Recognition of Local Birds Using Different CNN Architectures with Transfer Learning 
    Biswas, Al Amin; Rahman, Md. Mahbubur; Rajbongshi, Aditya; Majumder, Anup (2021 International Conference on Computer Communication and Informatics (ICCCI), IEEE, 2021-04-21)
    The global world is dependent and integrated with all the ecosystems. To survive in the race, we must need to know about the birds and their habitats and importance to the existence of the human race on earth. However, it ...
  • Prediction of Pneumonia Disease of Newborn Baby Based on Statistical Analysis of Maternal Condition Using Machine Learning Approach 
    Hasan, Md. Mehedi; Faruk, Md. Omar; Biki, Bidesh Biswas; Riajuliislam, Md; Alam, Khairul; Shetu, Syeda Farjana (2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 2021-03-15)
    Pneumonia is one of the common diseases amongst children in Bangladesh. Many children die from pneumonia in Bangladesh. Pneumonia is an infection that infects the air sacs in one or both lungs. In Bangladesh, nearly 50,000 ...
  • Relaxing Music Reduces Blood Pressure and Heart Rate among Pre-hypertensive Young Adults 
    Mir, Imtiyaz Ali; Chowdhury, Moniruddin; Islam, Rabiul Md; Ling, Goh Yee; Chowdhury, Alauddin A B M; Hasan, Zobaer Md; Higashi, Yukihito (Journal of Clinical Hypertension, 2021-12)
    Prevalence of pre-hypertension is higher among young adults and may increase the risk for hypertension and cardiovascular morbidity. Music therapy has been investigated to reduce the blood pressure in the hypertensive ...
  • 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 ...

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