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Browsing DIU Faculty Publication by Title

Browsing DIU Faculty Publication by Title

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  • Implementation of an Intelligent Online Job Portal Using Machine Learning Algorithms 
    Tasnim, Zarrin; Shamrat, F. M. Javed Mehedi; Allayear, Shaikh Muhammad; Ahmed, Khobayeb; Nobel, Naimul Islam (Scopus, 2021)
    Business intelligence and analytics are data management solutions implemented in companies and enterprises to collect historical and present data, while using statistics and software to analyze raw information, and deliver ...
  • Implementation of Autonomous Pricing Mechanism in Grid Computing 
    Haque, S.M. Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran (IEEE Xplore, 2010-06-01)
    Grid computing shares geographically distributed computer resources, which are owned by different owners, over the Internet. Sharing the resources dynamically in this environment becomes challenging. Multi-agents could be ...
  • Implementation of Deep Learning Methods to Identify Rotten Fruits 
    Chakraborty, Sovon; Shamrat, F.M. Javed Mehedi; Billah, Md. Masum; Jubair, Md. Al; Alauddin, Md.; Ranjan, Rumesh (2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, 2021-06-21)
    Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers. Humans wear out by ...
  • Implementation of DoS and DDoS Attacks on Cloud Servers 
    Mahjabin, Sefat (Periodicals of Engineering and Natural Sciences, 2018-12-13)
    Cloud environments face many threats as traditional corporate networks, but due to the vast amount of data stored on cloud servers, providers become an attractive target. Thus, the security level of data on the cloud servers ...
  • 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 ...
  • 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 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 Real-Time Automated Attendance System Using Deep Learning 
    Hasan, Hafiz Mahdi; Rahman, Md. Mahfujur; Khan, Md. Al-Amin; Meghla, Tamara Islam; Mamun, Shamim Al; Kaiser, Shamim (Daffodil International University, 2022-02-05)
    In comparison to general manual operations, contemporary technology always saves time and is often more hassle-free when it comes to verifying human authenticity using their biometrical components. However, despite the ...
  • Implementation of Smart Indoor Agriculture System and Predictive Analysis 
    Uddin, Md. Salah; Asaduzzaman, Md.; Farzana, Rafia; Hasan, Md. Samaun; Rahman, Mizanur; Allayea, Shaikh Muhammad (Communications in Computer and Information Science, Springer, 2019-07-20)
    Day by day Indoor Agricultural system is becoming more popular and enhancing agricultural productivity. Smart agriculture systems call on different type of Internet of Things (IOT) capabilities to improve farming production ...
  • Implementing E-Commerce Mobile and Web Application for Agricultural Products 
    Chakraborty, Sovon; Shamrat, F. M. Javed Mehedi; Islam, Md Saidul; Kabir, Foysal; Khan, Ali Newaz; Khater, Ankit (Daffodil International University, 2022-06-04)
    In Bangladesh, the increased number of brokers has resulted in a price increase in the agricultural goods market. They acquire items from farmers at a discount and resell them to consumers at a premium. This deprives ...
  • Implications of Updated Protocol for Classification of Childhood Malnutrition and Service Delivery in World’s Largest Refugee Camp Amid This COVID-19 Pandemic 
    Anwar, Afsana; Mondal, Probal Kumar; Yadav, Uday Narayan; Shamim, Abu Ahmed; Rizwan, Abu Ansar Md.; Mistry, Sabuj Kanti (Daffodil International University, 2022-01-12)
    Objectives: During the COVID-19 pandemic, the authorities made a change in the classification of malnutrition and concomitant service delivery protocol among the Rohingya children, residing in world's largest refugee camp, ...
  • Importance of Cloud Deployment Model and Security Issues of Software as a Service (SaaS) for Cloud Computing 
    Nowrin, Itisha; Khanam, Fahima (2019 International Conference on Applied Machine Learning, ICAML 2019, IEEE, 2019)
    Cloud computing, now-a-days has become the jargon in the industry of IT. It is a model that gives worldwide access to shared pools of configurable resources over the internet. That means it run several applications or ...
  • Important Factors To Remember When Constructing a Cross-Site Scripting Prevention Mechanism 
    Hassan, Md. Maruf; Ahmad, Badlishah R.; Esha, Ashrafia; Risha, Rafika; Hasan, Mohammad S. (Daffodil International University, 2022-04-02)
    Web application has become an essential part of daily activities to provide easy accessibility that ensures better performance. It is a platform where sensitive information such as username, password, credit card details, ...
  • Impression Management and Employee Contextual Performance in Service Organizations (Enterprises) 
    Edeh, Friday Ogbu; Zayed, Nurul Mohammad; Darwish, Saad; Nitsenko, Vitalii; Hanechko, Iryna; Islam, K. M. Anwarul (Elsevier, 2023-04-14)
    This study aims to investigate the effect of impression management on employee contextual performance in service organizations using quantitative methods. The social influence theory, which explains the role of superior ...
  • An Impressive Thrombolytic and Analgesic Effect Has Been Exhibited in the Methanolic Extract of Hygroryza Aristata Leaves 
    Hossain, Md. Sarowar; Rashid, Md. Mamunur; Azad, Md. A.K.; Rahman, Md. Mizanur; Ferdous, Md. Wahed; Islam, M. Anwarul (Pharmacologyonline, 2020)
    Hygroryza aristata is the significantly most important traditional medicinal plant practitioners all over the country since long years. Seeds are cooling and astringent to urinary tract; useful in biliousness. By the use ...
  • An improved algorithm for solving helix generation of RNA secondary structure prediction 
    Moon, Nazmun Nessa; Nur, Fernaz Narin; Hossain, Syed Akhter (IEEE Xplore, 2015-04-02)
    This paper presents an efficient O(n2) time algorithm for solving the helix generation problem of RNA to predict the predict the secondary structure of that RNA. It encodes the RNA secondary structures as an integer ...
  • Improved Barnacle Mating Optimizer-Based Least Square Support Vector Machine to Predict COVID-19 Confirmed Cases with Total Vaccination 
    Ahmed, Marzia; Sulaiman, Mohd Herwan; Mohamad, Ahmad Johari (Association for Computing Machinery, 2023-03-01)
    Every country must have an accurate and efficient forecasting model to avoid and manage the epidemic. This paper suggests an upgrade to one of the evolutionary algorithms inspired by nature, the Barnacle Mating Optimizer ...
  • Improved Echo cancellation in VOIP 
    Halder, Patrashiya Magdolina; Haque, A.K.M. Fazlul (Citeseer, 2011-11)
    VoIP (voice over internet protocol) is very popular communication technology of this century and has played tremendous role in communication system. It is preferred by all because it deploys many benefits it uses Internet ...
  • An Improved Kohonen Self-organizing Map Clustering Algorithm for High-dimensional Data Sets 
    Begum, Momotaz; Das, Bimal Chandra; Hossain, Md. Zakir; Saha, Antu; Papry, Khaleda Akther (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    Manipulating high-dimensional data is a major research challenge in the field of computer science in recent years. To classify this data, a lot of clustering algorithms have already been proposed. Kohonen self-organizing ...
  • An Improved Optimization Algorithm-Based Prediction Approach for the Weekly Trend of COVID-19 Considering the Total Vaccination in Malaysia 
    Ahmed, Marzia; Sulaiman, Mohd Herwan; Mohamad, Ahmad Johari; Rahman, Mostafijur (Springer, 2023-05-28)
    SARS-CoV-2 is a multi-organ disease characterized by a wide range of symptoms, which also causes the severe acute respiratory syndrome. When it initially began, it rapidly spread from its origin to adjacent nations, infecting ...

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