DIU Faculty Publication: Recent submissions

  • Assessment of the Concentration Levels of Heavy and Trace Elements in Fish Using Proton-Induced Gamma Emission 
    Fahad, S. M.; Ashrafi, Shah Sultan; Abedin, Md. Joynal; Rahman, Mohammad Obaidur; Ahamed, F.A. Sabbir; Reya, Sanjida Sultana (Scopus, 2021)
    Fish plays an essential role in Bangladesh people’s diet, being the leading and sometimes easily replaceable food of low-income households. Major and minor elements in fish are crucial for the biological process in the ...
  • Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms with Relief and Lasso Feature Selection Techniques 
    Ghosh, Pronab; Azam, Sami; Jonkman, Mirjam; Karim, Asif; Shamrat, F. M. Javed Mehedi (Scopus, 2021)
    Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using ...
  • An Adaptive Graph Cut Algorithm for Spammer Group Detection from Weighted One Mode Projection of Bipartite Graph 
    Sultana, Naznin; Palaniappan, Sellappan; Saha, Pratim (Scopus, 2021)
    Now-a-days online reviews have become an indispensable resource for customers decision making before purchasing any product. Product reviews provide valuable information that helps customers, retailers, and product owners ...
  • Feasibility Study of an Automatic Grid-Tied Solar Irrigation System for Rural Application 
    Chowdhury, Nusrat; Chowdhury, Akib; Hossain, Chowdhury Akram; Longo, Michela; Yaïci, Wahiba (Scopus, 2021)
    Bangladesh faces a tremendous energy shortage during the dry season. Agriculture is a very important part of Bangladesh and during the dry season this sector gets severe impact for the outage of electricity. To overcome ...
  • A Crop Pest Classification Model Using Deep Learning Techniques 
    Malek, Md Abdul; Reya, Sanjida Sultana; Hasan, Md Zahid; Hossain, Shakhawat (Scopus, 2021)
    This paper provides a pest identification system to classify crops' beneficial and harmful pests. For that purpose, the paper first provides a detailed description of the available pests-identification techniques along ...
  • Voice Activated Portable Braille with Audio Feedback 
    Faisal, Fahad; Hasan, Mehedi; Sabrin, Samia; Hasan, Md. Zahid; Siddique, Abdul Hasib (2021)
    The goal of this paper is to create a Voice Activated Braille as a portable device that will help individuals who are blind or visually impaired without any partial help to recognize certain written characters. This is a ...
  • Modification of Receiver to Improve the Efficiency of Parabolic Trough Collector 
    Fuad, Assrafujzaman; Basak, Saikat (Scopus, 2021)
    This paper contains the study about the heat loss area of the receiver pipe, process of modification of the receiver pipe to reduce the heat loss and analytical comparison between the modified and ordinary cylindrical ...
  • Transfer Learning Approach for Plant Leaf Disease Detection Using CNN with Pre-Trained Feature Extraction Method Mobilnetv2 
    Moyazzoma, Raida; Hossain, Md. Al Amin; Anuz, Md. Hasanuzzaman; Sattar, Abdus (Scopus, 2021)
    Economy of Bangladesh mostly depended on agriculture. As a small country, our population is over the limit. We are also a developing country also. For national GDP growth must be to increase the production. Every year a ...
  • Performance Analysis of Diabetic Retinopathy Prediction Using Machine Learning Models 
    Emon, Minhaz Uddin; Zannat, Raihana; Khatun, Tania; Rahman, Mahfujur; Keya, Maria Sultana (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    Diabetic Retinopathy (DR) is a symptom of diabetes that affects the eyes. The blood vessels of the light tissue behind the eyes are damaged (retina). Machine Learning (ML) techniques play a vital role in computer aid ...
  • Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Rahman, Md. Atiqur; Rahman, Md. Mahbobur; Emon, Minhaz Uddin (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    There has been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy ...
  • PAPR Reduction of OFDM Signal by Scrutiny of BER Assessment and SPS-SLM Method via AWGN Channel 
    Ohidujjaman; Zannat, Raihana; Khatun, Tania; Rahman, Mahfujur; Raza, Salim; Huda, Mohammad Nurul (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-01-26)
    Orthogonal Frequency Division Multiplexing (OFDM) has been presently underneath powerful exploration for broadband radio transmission owing to its strength in opposition to multi-path diminishing. Nevertheless, implementation ...
  • Predicting Performance Analysis of Garments Women Working Status in Bangladesh Using Machine Learning Approaches 
    Keya, Maria Sultana; Emon, Minhaz Uddin; Akter, Himu; Imran, Md. Al Mahmud; Hassan, Md. Kamrul; Mojumdar, Mayen Uddin (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    Maria Sultana Keya, Minhaz Uddin Emon, Himu Akter, Md. Al Mahmud Imran, Md. Kamrul Hassan, Mayen Uddin Mojumdar Abstract: In Bangladesh, the garment industry has played an important role in economically uplifting a ...
  • The Effects of Board Size and Board Composition on CSR Disclosure 
    Rouf, Md. Abdur; Hossan, Md. Alamgir (International Journal of Ethics and Systems, 2021)
    Purpose The purpose of this study is to provide a profound understanding of the nature and extent of corporate social responsibility (CSR) disclosure in the annual report by the listed banking sectors in Bangladesh for ...
  • 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 ...

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