DIU Faculty Publication: Recent submissions

  • Prediction of Academic Performance Applying NNs 
    Maitra, Shithi; Eshrak, Sakib; Bari, Md. Ahsanul; Al-Sakin, Abdullah; Munia, Rubana Hossain; Akter, Nasrin; Haque, Zabir (International Journal of Advanced Computer Science and Applications, 2019)
    Automation has made it possible to garner and preserve students’ data and the modern advent in data science enthusiastically mines this data to predict performance, to the interest of both tutors and tutees. Academic ...
  • Prediction of Potato Disease from Leaves Using Deep Convolution Neural Network towards a Digital Agricultural System 
    Al-Amin, Md.; Bushra, Tasfia Anika; Hoq, Md Nazmul (1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019, IEEE, 2019-12-19)
    Potato is one of the most used crops in the world and 2 nd most important crop in Bangladesh. Our economy is largely affected by the production of potato. But its production is hampered due to different diseases of potato ...
  • Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering 
    Munna, Md. Tahsir Ahmed; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Sarker, Kaushik; Ara, Sheikh Joly Ferdaus (Lecture Notes in Networks and Systems, Springer, 2018-12-06)
    In today’s era, most of the people are suffering with chronic diseases because of their lifestyle, food habits and reduction in physical activities. Diabetes is one of the most common chronic diseases which has affected ...
  • A Framework to Address Security Concerns in Three Layers of IoT 
    Jose, Alwyn; Azam, Sami; Karim, Asif; Shanmugam, Bharanidharan; Faisal, Fahad; Islam, Ashraful; De Boer, Friso; Jonkma, Mirjam (IEEE, 2020-11)
    The Internet of Things (IoT) is becoming part of many aspects of our life, including healthcare, home utilities, retail, energy, logistics, etc. This prolific and ubiquitous nature of IoT based systems brings with it the ...
  • Real Time Face Recognition System with Deep Residual Network and KNN 
    Jahan, Nusrat; Bhuiyan, Pranta Kumer; Moon, Parves Ahmed; Akbar, , Md. Ali (Scopus, 2020)
    Human Face Recognition is the technique to determine the individuals using facial images. In this recent era, human face recognition will be effective to improve security issues. In this research area has a plentiful ...
  • Real-Time Vehicle Classification Using CNN 
    Jahan, Nusrat; Islam, Saiful; Foysal, Md. Ferdouse Ahmed (Scopus, 2020)
    Convolutional Neural Network (CNN) is a model of artificial neural networks that has grown to be most well known in computer vision assignment. In this paper work, we presented convolutional neural network for classifying ...
  • Predicting the Enrollment and Dropout of Students in the Post-graduation Degree Using Machine Learning Classifier 
    Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Nowrin, Itisha; Ritu, Nadia Afrin (International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering & Sciences Publication, 2019-09-08)
    Nowadays, In Bangladesh, the dropout rate at post-graduation level or incompletion of the post-graduation degree is considered as a serious problem in the education sector. This work can be used to support for identifying ...
  • Predicting Career Using Data Mining 
    Arafath, Md. Yeasin; Saifuzzaman, Mohd.; Ahmed, Sumaiya; Hossain, Syed Akhter (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-03-28)
    Career goal specially choosing the appropriate career through monitoring of the scope and trends in computer science and engineering job dimension have been a prime need for all computer science undergraduate youngsters. ...
  • Design and Performance Evaluation of Photonic Crystal Fibers of Supporting Orbital Angular Momentum States in Optical Transmission 
    Kabira, Md. Anowar; Hassana, Md. Mehedi; Hossaina, Md. Nadim; Paulabc, Bikash Kumar; Ahmed, Kawsar (Optics Communications, Elsevier, 2020-07-15)
    In this letter, two novel hollow-core photonic crystal fibers (PCFs) are proposed, simulated, and analyzed. The PCFs stably support Orbital Angular Momentum (OAM) transmission. These PCFs are theoretically and systematically ...
  • Design and Development of Bi Directional Power Meter Using Microcontroller 
    Rahman, Tasnim Ikra; Rashid, Anika Fariha; Rahman, Md. Habibur (Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, 2020-03-03)
    The significance of power or energy measurement has been very acute in recent times with the increase of Grid-Tied Solar PV system that needs Net-Metering. Power can be flown in both directions, from grid to load or from ...
  • Development of an Advanced DNA Biosensor for Pathogenic Vibrio Cholerae Detection in Real Sample 
    Ali, M.R.; Bacchu, M.S.; Setu, M.A.A.; Akter, S.; Hasan, M.N.; Chowdhury, F.T.; Rahman, M.M.; Ahommed, M.S.; Khan, M.Z.H. (Biosensors and Bioelectronics, Elsevier, 2021-09-15)
    Due to the epidemics of emerging microbial diseases worldwide, the accurate and rapid quantification of pathogenic bacteria is extremely critical. In this work, a highly sensitive DNA-based electrochemical biosensor has ...
  • Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient Using Machine Learning Algorithms 
    Basak, Setu; Alam, Md. Mahbub; Rakshit, Aniruddha; Marouf, Ahmed Al; Majumder, Anup (International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering & Sciences Publication, 2019-10-02)
    Mortality because of unending kidney disease increments essentially in recent years. Nowadays, about 422 million patients are suffering from diabetes among them around 30 percent of patients with Type 1 (adolescent beginning) ...
  • Design and Fem Analysis of Pentagonal Photonic Crystal Fiber for Highly Non-linear Applications 
    Mamtaz, Raisa; Ahmed, Kawsar; Paul, Bikash Kumar; Aktar, Mst. Nargis; Uddin, Muhammad Shahin; Dhasarathan, Vigneswaran; Mollah, Md. Aslam (Optical and Quantum Electronics, Springer, 2020-10-08)
    A Pentagonal Photonic Crystal Fiber (P-PCF) injected with As2S5As2S5 in elliptic core has been propounded by FEM technique. The simulation is carried out by perfectly matched layer using COMSOL Multiphysics software. Several ...
  • A Digital Data Hiding Technique with Missing Puzzle and Seek Algorithm 
    Islam, Md. Ashiqul; Tabassum, Tasfia; Hossen, Md. Sagar; Hossain, Shahed; Hossain, Mosharof; Jony, Anik Hassan (IEEE, 2020-11)
    presently a day’s data dissemination over the world become progressively simpler because of quick web and advancement of various kind of technology, for this explanation individuals become increasingly stressed about their ...
  • A Deep Learning Based Assistive System to Classify COVID-19 Face Mask for Human Safety with YOLOv3 
    Bhuiyan, Md. Rafiuzzaman; Khushbu, Sharun Akter; Islam, Md. Sanzidul (IEEE, 2020-07)
    Computer vision learning pay a high attention due to global pandemic COVID-19 to enhance public health service. During the fatality, tiny object detection is a more challenging task of computer vision, as it recruits the ...
  • Predicting IMDb Rating of Movies by Machine Learning Techniques 
    Bristi, Warda Ruheen; Zaman, Zakia; Sultana, Nishat (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Film Industry is not only a industry or a centre of entertainment, rather it is now a centre of global business. All over the world is now excited about a movie's box office success, popularity etc. A huge data is available ...
  • Predicting Absenteeism at Work Using Tree-based Learners 
    Wahid, Zaman; Satter, A. K. M. Zaidi; Imran, Abdullah Al; Bhuiyan, Touhid (ICMLSC 2019 the 3rd International Conference on Machine Learning and Soft Computing, ACM Digital Library, 2019-01-25)
    Absenteeism at workplace acts as a crucial role in demonstrating the productive and profitable capacity of a company. Thus the knowledge of absenteeism of employees' becomes the foundation for an organization in its multiple ...
  • Potential Therapeutic Drugs for Ischemic Stroke and Stress Disorder 
    Islam, Md Rakibul; Ahmed, Md Liton; Paul, Bikash Kumar; Bhuiyan, Touhid; Ahmed, Kawsar (Informatics in Medicine Unlocked, Elsevier, 2019-10-24)
    Ischemic stroke (IS) is a complex disease affected by several environmental factors, genetic factors, and their interactions. Stress disorder (SD) can also independently increase the risk of stroke. Many genetic factors ...
  • Porous Silicon Sensors 
    Cao, Tengfei; Carfano, Caitlin; Rodriguez, Gilberto A.; Choudhury, Moinul H.; Afzal, Francis O.; Weiss, Sharon M. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, SPIE Digital Library, 2019-03-05)
    Porous silicon (PSi) has been recognized as an advantageous material for use in optical biosensors due to its large internal surface area, ability to form multilayer optical structures, and compatibility with standard ...
  • Popularity Prediction of Online News Item Based on Social Media Response 
    Arafat, Hossain Md.; Sagar, Didar Hossain; Ahmed, Kawsar; Paul, Bikash Kumar; Rahman, Md. Zamilur; Habib, Md. Ahsan (2020 Joint 8th International Conference on Informatics, Electronics and Vision, ICIEV 2019 and 3rd International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2019 with International Conference on Activity and Behavior Computing, ABC 2019, IEEE, 2019-10-07)
    The objective of the research study is to predict the popularity of printed as well as online news articles that are publicized on the online social network. Keywords are extracted from the collected data sets and compared ...

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