DIU Faculty Publication: Recent submissions

  • Implementation of a Smart Embedded System for Passenger Vessel Safety 
    Shamrat, F. M. Javed Mehedi; Nobel, Naimul Islam; Tasnim, Zarrin; Ahmed, Razu (Communications in Computer and Information Science, Springer, 2020-03-05)
    An automated embedded system with overweight and location detection of a vessel has been planned, developed and executed. To eliminate overweight issues and able to locate the vessel for stopping accidents, an embedded ...
  • Implementation of a Grid-tied Emergency Back-up Power Supply for Medium and Low Power Applications 
    Chowdhury, Dhiman; Mohammad, Sharif Miah; Hossain, Md. Feroz; Sarker, Uzzal (International Journal of Electrical and Computer Engineering, 2020-12-06)
    Emergency back-up power supply units are necessary in case of grid power shortage, considerably poor regulation and costly establishment of a power system facility. In this regard, power electronic converters based systems ...
  • Implementation of Machine Learning to Detect Hate Speech in Bangla Language 
    Ahammed, Shovon; Rahman, Mostafizur; Niloy, Mahedi Hasan; Chowdhury, M. Mazharul Hoque (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06-16)
    Hate speech is a crime in all countries. Hate speech can be for women, religions, countries, cultures. The big problem for hate speech is that it entices the evil people. Moreover, it inspires them to spread hatred in the ...
  • Implementation of Machine Learning Algorithms to Detect the Prognosis Rate of Kidney Disease 
    Shamrat, F.M. Javed Mehedi; Ghosh, Pronab; Sadek, Mahbubul Hasan; Kazi, Md. Aslam; Shultana, Shahana (2020 IEEE International Conference for Innovation in Technology (INOCON) , IEEE, 2020-11)
    The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the disease is not noticeable and a significant amount of lives are lost annually due to the disease. Using machine learning algorithm ...
  • Implementation of Low Cost Real-time Attendance Management System 
    Hasan, Rakib; Islam, Sajedul; Rahman, Md. Habibur; Saifuzzaman, Mohd.; Shetu, Syeda Farjana; Moon, Nazmun Nessa (ICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), IEEE, 2020-09-15)
    In this research, a systematic approach was adopted to expand the level of service to the real-time attendance system. The test was performed to assess the efficiency of the attendance system, which would be quite ...
  • Impacts of Food and Nutrition on Covid-19 Patients 
    Tanmoy, Tajbeul Islam; Hossain, Md. Sakhawat; Sultana, Sharifa; Islam, Md. Ariful; Mondal, Shadhan Kumar; Saha, Tushar (Pharmacology online, 2020-08-20)
    A pandemic occurring microscopic virus which is named 'novel coronavirus' causes respiratory illness and gastrointestinal infections spread by animals and winged creatures. By stopping the transmission of respiratory ...
  • Impact of Supply Chain Management on Customer Loyalty to the 'Aarong' Fashion House Brand 
    Showrav, Dewan Golam Yazdani; Iqbal, Mohammed Masum; Chowdhury, Tamanna Sharmin (International Journal of Supply Chain Management, 2020)
    Achieving and retaining Customer loyalty is important objective for any business. Supply Chain Management synchronizes the efforts of all parties-particularly suppliers, manufacturers, retailers, dealers, customers-involved ...
  • Image-based Soft Drink Type Classification and Dietary Assessment System Using Deep Convolutional Neural Network with Transfer Learning 
    Hafiz, Rubaiya; Rakshit, Aniruddha; Uddin, Mohammad Shorif; Haque, Mohammad Reduanul (Journal of King Saud University - Computer and Information Sciences, 2020-09-09)
    Nowadays, people are taking soft drinks (carbonated nonalcoholic beverages) at an increasing rate. Health experts around the world have cautioned from time to time that these drinks lead to weight gain, raise the risk of ...
  • Identifying the Writing Style of Bangla Language Using Natural Language Processing 
    Shetu, Syeda Farjana; . Saifuzzaman, Mohd; Parvin, Masuma; Moon, Nazmun Nessa; Yousuf, Ridwanullah; Sultana, Sharmin (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, IEEE, 2020-10-15)
    Bangla is one of the 8th major spoken languages around the world and like other widely spoken languages, it is a very morphologically rich language. It has two styles, one is standard literary style, known as Sadhu Bhasha ...
  • Identifying the Associated Risk Factors of Sleep Disturbance During the Covid-19 Lockdown in Bangladesh 
    Ara, Tasnim; Rahman, Md. Mahabubur; Hossain, Md. Abir; Ahmed, Amir (Frontiers in Psychiatry, 2020-09-17)
    Background: Bangladesh, a developing country with a lower-middle-income and one of the world’s most densely populated areas, has been severely affected by COVID-19. This global epidemic is not only affecting the physical ...
  • Identification of Vital Regulatory Genes with Network Pathways among Huntington’s, Parkinson’s, and Alzheimer’s Diseases 
    Kawsar, Md.; Taz, Tasnimul Alam; Paul, Bikash Kumar; Ahmed, Kawsar; Habib, Md. Ahsan; Bhuyian, Touhid (Network Modeling Analysis in Health Informatics and Bioinformatics, Springer, 2020-07-16)
    In the world, Huntington’s disease, Parkinson’s disease, and Alzheimer’s disease are reported as the most deadly diseases to issue common disorders for human beings. In state-of-the-art works, it is well studied that ...
  • Identification of the Core Ontologies and Signature Genes of Polycystic Ovary Syndrome (PCOS) 
    Islam, Md Rakibul; Ahmed, Md Liton; Paul, Bikash Kumar; Bhuiyan, Touhid; Ahmed, Kawsar; Moni, Mohammad Ali (Informatics in Medicine Unlocked, Elsevier, 2020)
    Worldwide polycystic ovary syndrome (PCOS) is one of the most common hormonal disorders in women of reproductive age. However, there is a lack of genetic study of the internal mechanisms of PCOS. Herein, we identify core ...
  • Identification of Spoken Language Using Machine Learning Approach 
    Shahriar, Md. Asif; Aziz, Tftekhar; Banik, Shovan; Sattar, Abdus (23rd International Conference on Computer and Information Technology (ICCIT), IEEE, 2020-12-19)
    Identification of spoken language is the way to detect the specific language which is spoken by an anonymous speaker. We will also find out several techniques of machine learning for detecting spoken language. Our major ...
  • Machine Learning Approach for Software Defect Prediction 
    Hossen, Md Anwar; Islam, Md. Shariful; Yusof, Nurhafizah Abu Talip; Rahman, Md. Sakib; Siddika, Fatema; Rahman, Mostafijur; Khatun, Sabira; Karim, Mohamad Shaiful Abdul; Mahmud, S. M. Hasan (Lecture Notes in Electrical Engineering, Springer, 2020-03-24)
    The software has turn into an imperious part of human’s life. In the recent computing era, many large-scale complex network systems and millions of modern technological devices produce a huge amount of data every second. ...
  • Human Behaviour Impact to Use of Smartphones with the Python Implementation Using Naive Bayesian 
    Talha, Iftakhar Mohammad; Salehin, Imrus; Debnath, Susanta Chandra; Saifuzzaman, Mohd.; Moon, Nazmun Nessa; Nur, Fernaz Narin (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, IEEE, 2020-10-15)
    A change of behavior in special groups and many sustainable smart populations increasing day by day for excessive uses of smartphones. In recent years, the use of smartphones and mental imbalances have become a major problem ...
  • Innovation for Changing Needs of Customers and Their Consumption Patterns in Retail for Competitive Advantage 
    Faruk, Omar; Panigrahi, Jayant Kumar; Das, Biswajit; Subudhi, Rabi Narayan (Journal of Advanced Research in Dynamical and Control Systems, 2020)
    The consumer is changing. The millennial consumer is a paradigm of growing economic pressure and increasing competitive options. They are more capricious and less loyal. They have less time but are more conscientious. They ...
  • T-Way Strategy for Sequence Input Interaction Test Case Generation Adopting Fish Swarm 
    Rahman, Algorithm Mostafijur; Sultana, Dalia; Khatun, Sabira; Jusof, Mohd Falfazli Mat; Shaharum, Syamimi Mardiah; Yusof, Nurhafizah Abu Talip; Qaiduzzaman, Khandker M.; Hasan, Md Hasibul; Rahman, Md Mushfiqur; Hossen, Md Anwar; Begum, Afsana (Scopus, 2020)
    In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. Since twenty years many useful T-way strategies have been developed to reduce test ...
  • Sustainability in Water Provision in Rural Communities 
    Amos, Caleb Christian; Ahmed, Amir; Rahman, Ataur (Scopus, 2020)
    Groundwater resources are often the main source of drinking water for remote communities, but they are increasingly found to be unsuitable, and a source of ill health in many parts of the world. High annual rainfall in ...
  • Heat Transportation in Copper Oxide-water Nanofluid Filled Triangular Cavities 
    Uddin, Md. Jashim; Rahman, Mohammad M. (International Journal of Heat and Technology, 2020-03-31)
    This paper performs a comparative analysis of two-dimensional transient water-copper oxide nanofluid flow and heat transportation inside a right-, acute- and obtuse-angled triangular cavity in the presence of a magnetic ...
  • Handwritten Polynomial Equation Recognition and Simplification Using Convolutional Neural Network 
    Shuvo, Shifat Nayme; Hasan, Fuad; Hossain, Syed Akhter; Abujar, Sheikh (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, IEEE, 2020-10-15)
    Polynomials are algebraic expressions involving a sum of powers in one or more variables multiplied by its coefficients. If x is a variable, a0x n +a1x n-1 +a2x n-2 +....+an then it's a (n) powers polynomial. Human is ...

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