Articles: Recent submissions

  • Ensemble Method Based Architecture Using Random Forest Importance to Predict Employee's Turn Over 
    Hossen, Md. Anwar; Hossain, Emran; Abdul Khalib, Zahereel Ishwar; Siddika, Fatema (Journal of Physics: Conference Series, IOP, 2020)
    The departure of a skilled employee can create a problem for a company and this incident is increasing globally. Employee turnover has become an important issue these days due to the heavy workload, low pay, low job ...
  • Development of an Advanced DNA Biosensor for Pathogenic Vibrio Cholerae Detection in Real Sample 
    Ali, M.R.; Bacchu, M.S.; Akter, S.; Hasan, M.N.; Chowdhury, F.T.; Rahman, M.M.; Ahommed, M.S. (Biosensors and Bioelectronics, Elsevier, 2021)
    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 ...
  • Design of Microstrip Patch Antenna to Deploy Unmanned Aerial Vehicle as Ue in 5g Wireless Network 
    Md. Imran, Abu Zafar; Hakim, Mohammad Lutful; Ahmed, Md. Razu; Islam, Mohammad Tariqul; Hossain, Elias (International Journal of Electrical and Computer Engineering,, 2021-03-21)
    The use of unmanned aerial vehicle (UAV) has been increasing rapidly in the civilian and military applications, because of UAV's high-performance communication with ground clients, especially for its intrinsic properties ...
  • 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  in a silicon (Si) channel waveguide. We use three inputs, e.g., two geometric and one material properties, and ...
  • Deep Learning Based Sponge Gourd Diseases Recognition for Commercial Cultivation in Bangladesh 
    Mim, Tahmina Tashrif; Sheikh, Md. Helal; Chowdhury, Sadia; Akter, Roksana; Khan, Md. Abbas Ali; Habib, Md. Tarek (International Conference on Artificial Intelligence & Industrial Applications, Springer, 2020-09-02)
    Sponge gourd, called as “ Open image in new window ” in Bangladesh, is scientifically known as Luffa cylindrical that belongs to Cucurbitaceae family. Sponge gourd or luffa gourd is one of the most easily found vegetable ...
  • Data Security System for a Bank Based on Two Different Asymmetric Algorithms Cryptography 
    Islam, Md. Ashiqul; Kobita, Aysha Akter; Hossen, Md. Sagar; Rumi, Laila Sultana; Karim, Rafat; Tabassum, Tasfia (Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, Springer, 2020-08-01)
    Recently, a strong security system is very important for a safe banking system. To prevent hacking of important information of bank and client, a secure banking system is a must. This paper deals with a strong security ...
  • Cyber legislation and cyber-related legal issues in Bangladesh 
    Babu, Kudrat-E-Khuda (International Journal of Electronic Security and Digital Forensics, ACM Digital Library, 2021)
    Technology has inevitably evolved, driving significant human progress in every sphere of life. Amid this technological development, laws and regulations have been enacted to control offences relating to global advances in ...
  • Cyber Security in the Global Village and Challenges for Bangladesh 
    Babu, Kudrat-E-Khuda (Advanced Sciences and Technologies for Security Applications, Springer, 2021-05-21)
    With the rapid penetration of the Internet and other information and communication technology worldwide, cyber-crime is emerging as a threat to personal data stored in computers and likely to affect the entire data systems. ...
  • Crime Rate Prediction Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika; Sattar, Abdus (Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, Springer, 2020-11-28)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily ...
  • COVID-19 Pandemic: The Role of Imaging Technology 
    Muhammad, Faisal (Open Biotechnology Journal, 2021-01-21)
    The novel Coronavirus Disease 2019 (COVID-19) continues to spread across the globe and healthcare professionals are working interminably to treat the patients. The radiologists have already been contributory in the diagnoses ...
  • Convective flow of alumina–water nanofluid in a square vessel in presence of the exothermic chemical reaction and hydromagnetic field 
    Arifuzzaman, M.; Uddin, M.J. (Results in Engineering, Elsevier, 2021-06)
    Nanofluids have various operations and prospects in heat transfer engineering to produce novel technological equipment for cooling purposes. In response to nanofluid's possible application, the transient convective ...
  • Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Rahman, Md. Atiqur; Rahman, Md. Mahbobur; Emon, Minhaz Uddin; Zulfiker, Md. Sabab (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-01)
    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 ...
  • Clinical Characteristics and Diagnostic Challenges of COVID−19 
    Israfil, S. M. Hasan; Sarker, Md. Moklesur Rahman; Rashid, Parisa Tamannur; Talukder, Ali Azam; Kawsar, Khandkar Ali; Khan, Farzana; Akhter, Selina; Poh, Chit Laa; Mohamed, Isa Naina; Ming, Long Chiau (Frontiers in Public Health,NCBI, 2021-01-11)
    Clinical characteristics are essential for the correct diagnosis of diseases. The current review aimed to summarize the global clinical characteristics of the COVID-19 patients systematically and identify their diagnostic ...
  • Classifying the Usual Leaf Diseases of Paddy Plants in Bangladesh Using Multilayered CNN Architecture 
    Abdullahil-Oaphy, Md.; Bhuiyan, Md. Rafiuzzaman; Islam, Md. Sanzidul (Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, Springer, 2020-11-28)
    More than 130 million people in Bangladesh depend on rice as their main food. Half of the employment of the rural area and the agricultural GDP of Bangladesh depend on rice production. Nearly more than 10 million farmer ...
  • Civic engagement through restaurant review page in Facebook 
    Satter, A.K.M. Zaidi; Mahmud, Arif; Rahman, Ashikur; Mahmud, Imran; Akter, Rozina (International Journal of Ethics and Systems, Emerald, 2021-01-18)
    Purpose Existing literature affirms that almost half of the young generation has remained unemployed worldwide. On the contrary civic engagement can be a powerful tool in combating this problem. However, the influencing ...
  • Changes in glycated hemoglobin, diabetes knowledge, quality of life, and anxiety in children and adolescents with type 1 diabetes attending summer camps 
    Hasan, Istiaque; Chowdhury, A. B. M. Alauddin; Haque, Md. Imdadul; Patterson, Christopher C. (Pediatric Diabetes, Wiley Online Library, 2020-11-12)
    Diabetes summer camps provide children and adolescents with type 1 diabetes opportunities to learn about the disease and its management in a supportive environment to help improve glycemic control, self-reliance, and quality ...
  • Cascade Classification of Face Liveliness Detection Using Heart Beat Measurement 
    Rahman, Md. Mahfujur; Al Mamun, Shamim; Kaiser, M. Shamim; Islam, Md. Shahidul; Rahman, Md. Arifur (Proceedings of International Conference on Trends in Computational and Cognitive Engineering , Springer, 2020-12-17)
    Face detection and recognition is a prevalent concept in security and access control area which is commonly used in surveillance cameras at public places, attendance etc. But often this type of system can be circumvented ...
  • Career Prediction with Analysis of Influential Factors Using Data Mining in the Context of Bangladesh 
    Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Basri, Rabeya; Zulfiker, Md. Sabab (Springer, 2020-12-17)
    Nowadays, the job market has become more competitive due to the advancement of higher educations. In Bangladesh, an individual selects three types of careers namely Government Job, Private Job, and Business after the ...
  • COVID-19 Crisis 
    Muhammad, Faisal (The Open Neurology Journal, 2021-01-14)
    Neurological disorders are mostly chronic, long-term conditions. It is crucial to be aware of the likelihood of neurological manifestations of the novel COVID-19, more especially during acute illness as well as the possibility ...
  • Bengali Accent Classification from Speech Using Different Machine Learning and Deep Learning Techniques 
    Badhon, S. M. Saiful Islam; Rahaman, Habibur; Rupon, Farea Rehnuma; Abujar, Sheikh (Springer, 2020-11-28)
    The work starts with a question “Does human vocal folds produce different wavelength when they speak in different accent of same language?” Generally, when humans hear the language, they can easily classify the accent and ...

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