Articles: Recent submissions

  • IOT Based Smart Energy Monitoring and Warning System 
    Sium, Farhan Sadik; Ghosh, Arnob; -Al-Hossain, Md. Junaed (11th International Conference on Electrical and Computer Engineering (ICECE), IEEE, 2021-04)
    Real time monitoring and over usage notification system are prerequisite for developing awareness about proper usage of electrical energy. In this research an IoT (Internet of Things) based device and a unique apps have ...
  • IOT Based Low-cost Robotic Agent Design for Disabled and Covid-19 Virus Affected People 
    Akhund, Tajim Md. Niamat Ullah; Jyoty, Watry Biswas; Siddik, Md. Abu Bakkar; Newaz, Nishat Tasnim; Wahid, S.K. Ayub Al; Sarker, M. Mesbahuddin (Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2020, IEEE, 2020-10-01)
    Disabled people and Virus affected patients can be helped through Internet of Things and Robotic systems in this modern era. Recently the whole world is suffering from the Covid-19 pandemic. The virus affected and disabled ...
  • IOT Based Health Monitoring Automated Predictive System to Confront Covid-19 
    Choyon, Md Mashrur Sakib; Rahman, Maksudur; Kabir, Md. Mohsin; Mridha, M. F. (2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), IEEE, 2020-01)
    As the whole world is striving to combat the Coronavirus disease (COVID-19), healthcare and health monitoring systems are struggling to confront the virus. Many cases have been observed where the COVID-19 could not be ...
  • IOT Waiter Bot 
    Akhund, Tajim Md. Niamat Ullah; Siddik, Md. Abu Bakkar; Hossain, Md. Rakib; Rahman, Md. Mazedur; Newaz, Nishat Tasnim; Saifuzzaman, Mohd. (ICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) IEEE, 2020-09)
    The modern era is Robotic and IOT era. Robots are reducing human works. Robots are broadly using in Restaurants, Farming, Hospitals and various fields now a days. This work results a low cost IOT Robot that can work like ...
  • Mining and Predicting Protein-drug Interaction Network of Breast Cancer Risk Genes 
    Islam, Muhammad Nahidul; Shaolin, Shams Shah; Paul, Bikash Kumar; Bhuyian, M, Touhid; Ahmed, Kawsar; Touhid, Bhuyian; Islam, Md. Manowarul (Gene Reports, Elsevier, 2020-06-15)
    Background and objective The increasing number of patients of Breast Cancer (BC) is a matter of concern all around the world. There isn't any specific reason behind this disease to be occurred in the human body. But there ...
  • IOT Based Street Lighting Using Dual Axis Solar Tracker and Effective Traffic Management System Using Deep Learning 
    Saifuzzaman, Mohd.; Shetu, Syeda Farjana; Moon, Nazmun Nessa; Nur, Fernaz Narin; Hanif Ali, Mohammad (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020. IEEE, 2020-10)
    With the rapid increase of population, nonrenewable energy loss has become one of the prior concerns worldwide in recent years. Researchers are working on the proper utilization of renewable energy to save the rest of the ...
  • IOT Based Risk Level Prediction Model for Maternal Health Care in the Context of Bangladesh 
    Ahmed, Marzia; Kashem, Mohammod Abul (2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE, 2020-12)
    Internet of Things (IoT), a new paradigm has the extensive applicability including healthcare and numerous areas. In this research, a system has been developed for effective monitoring and predicting risk level of a pregnant ...
  • Training Data Selection Using Ensemble Dataset Approach for Software Defect Prediction 
    Sohan, Md Fahimuzzman; Kabir, Md Alamgir; Rahman, Mostafijur; Mahmud, S. M. Hasan; Bhuiyan, Touhid (Scopus, 2020)
    Cross-project defect prediction (CPDP) is using due to the limitation of within project defect prediction (WPDP) in Software Defect Prediction (SDP) research. CPDP aims to train one project data to predict another project ...
  • Toward an Enhanced Bengali Text Classification Using Saint and Common Form 
    Ria, Nushrat Jahan; Khushbu, Sharun Akter; Yousuf, Mohammad Abu; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2020)
    Language processing tool has been strengthened by the measurements of text classification. Due to this concern many approaches investigate through the text documentation problem. Behalf of this conception we have focused ...
  • Thermally Carbonized Porous Silicon for Robust Label-Free DNA Optical Sensing 
    Layouni, Rabeb; Choudhury, Moinul H.; Laibinis, Paul E.; Weiss, Sharon M. (Scopus, 2020)
    In this work, thermal carbonization is shown to provide the necessary surface passivation to enable highly robust DNA detection on a porous silicon (PSi) platform, overcoming previous corrosion challenges with detection ...
  • Theoretical Analysis of Highly Temperature-Sensitive Fem Based Optical Sensor in the Infrared Range 
    Abdullah, Hasan; Islam, Md. Rafiqul; Ahmed, Kawsar; Malka, Dror; Nguyen, Truong Khang; Hossain, Md. Nadim; Paul, Bikash Kumar; Dhasarathan, Vigneswaran (Scopus, 2020)
    his paper demonstrates a highly sensitive temperature sensor based on photonic crystal fiber (PCF) to evaluate the temperature of an analyte. The proposed structure is evaluated by a finite-element method (FEM) which is ...
  • The Strategy of Management System Standards 
    Iqbal, Mohammed Masum; Mia, Md. Mamun (Scopus, 2020)
    This study discovers the procedures of variance-based in structural equation modeling as management system standards on business sustainability. The aim is to discover whether the management system standards strategy helps ...
  • The Interconnection Between Environment and Human Rights 
    (Babu), Kudrat-E-Khuda (Scopus, 2020)
    Every year more than two million people meet the tragic end of their lives across the world for different causes. Thousands of individuals suffer from pollution-related illnesses. Ecosystems, for water scarcity, improper ...
  • Mechanomyography 
    Talib, Irsa; Sundaraj, Kenneth; Lam, Chee Kiang; Ali, Md. Asraf; Hussain, Jawad (Lecture Notes in Mechanical Engineering, Springer, 2020)
    The aim of this review article is to highlight an important application of mechanomyography as a tool to study muscle physiology related issues. Skeletal muscles are of vital significance in our body and contribute well ...
  • Measuring the Effectiveness of Software Code Review Comments 
    Hossain, Syeda Sumbul; Arafat, Yeasir; Hossain, Md. Ekram; Arman, Md. Shohel; Islam, Anik (Communications in Computer and Information Science, Springer, 2020-07-18)
    Code reviewing becomes a more popular technique to find out early defects in source code. Nowadays practitioners are going for peer reviewing their codes by their co-developers to make the source code clean. Working on a ...
  • Machine Vision Based Papaya Disease Recognition 
    Habib, Md. Tarek; Majumder, Anup; Jakaria, A.Z.M.; Akter, Morium; Uddin, Mohammad Shorif; Ahmed, Farruk (Journal of King Saud University - Computer and Information Sciences, Elsevier, 2020-03)
    Over the years little research has been performed for vision-based papaya disease recognition system in order to help distant farmers, most of whom require proper support for cultivation. Due to advancement of vision-based ...
  • Machine Learning Techniques for Predicting Surface EMG Activities on Upper Limb Muscle 
    Roy, Joy; Ali, Md. Asraf; Ahmed, Md. Razu; Sundaraj, Kenneth (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    The aim of this review study is to analyze the techniques for predicting the surface EMG activities on upper limb muscles using different machine learning algorithms. In this study, we followed a systematic searching ...
  • Machine Learning Based Recommendation Systems for the Mode of Childbirth 
    Kowsher, Md.; Prottasha, Nusrat Jahan; Tahabilder, Anik; Islam, Md. Babul (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    Machine learning method gives a learning technique that can be applied to extract information from data. Lots of researches are being conducted that involves machine learning techniques for medical diagnosis, prediction ...
  • Machine Learning Based Image Classification of Papaya Disease Recognition 
    Islam, Md. Ashiqul; Islam, Md. Shahriar; Hossen, Md. Sagar; Emon, Minhaz Uddin; Keya, Maria Sultana; Habib, Ahsan (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12-28)
    To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly ...
  • Machine Learning Techniques for Depression Analysis on Social Media- Case Study on Bengali Community 
    Bhattacharjee, Debasish; Kawsher, Jamil; Labib, Md Shad; Latif, Subhenur (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12)
    Depression is a prevalent illness in today’s society. It changes and influences our entire method of thought and our emotional, cognitive, and everyday behavioral behaviors. It affected over 264 million people, and the ...

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