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  • Low Cost Voltage and Current Measurement Technique Using Atmega328p 
    Faisal, Fahad; Karim, Asif; Hasan, Md. Zahid; Shanmugam, Bharanidharan; Mahdi, Muntasir; Moon, Nazmun Nessa (Proceedings of the 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020, IEEE, 2020-11-10)
    This paper is mainly focused on the low cost technique to measure both AC and DC voltage along with current by using very low cost components. The system can also be easily monitored via a smartphone. The work is intended ...
  • Low Insertion Loss and High Extinction Ratio Analysis of a New Surface Plasmon Resonance Based Photonic Crystal Fiber Filter 
    Ahmed, Kawsar; Ferdous, Md.; Hossen, Md. Nazmul; Paul, Bikash Kumar; Amiri, I.S.; Yupapin, P. (Optik, Elsevier GmbH, 2019)
    A new photonic crystal fiber (PCF) filter based on surface plasmon resonance (SPR) is proposed for 1.2 μm–1.55 μm operating wavelength. Surface plasmon resonance just takes place in the x-polarization axis owing to ...
  • Low material loss and dispersion flattened fiber for single mode THz-wave transmission applications 
    Paul, Bikash Kumar; Islam, Md. Shadidul; Sen, Shuvo; Ahmed, Kawsar; Uddin, Muhammad Shahin (Elsevier B.V., 2018-10-11)
    In the article, a very low loss terahertz (THz) photonic crystal fiber (PCF) has been proposed and investigated precisely. The investigation results have proved that the designed PCF shows very low effective material loss ...
  • Low-Cost Smartphone-Controlled Remote Sensing IoT Robot 
    Akhund, Tajim Md. Niamat Ullah; Newaz, Nishat Tasnim; Hossain, Md. Rakib; Kaiser, M. Shamim (Scopus, 2021)
    Nowadays, the Internet of things is spread everywhere. We can do a lot of tough work with IoT and robotics which are very difficult for people to do. This work presents a system that is an IoT-based robot, which can collect ...
  • Low-Loss Single Mode Terahertz Microstructure Fiber with Near-Zero-Flattened Dispersion 
    Ahmed, Kawsar; Islam, Md. Ibadul; Sen, Shuvo; Paul, Bikash Kumar; Islam, Md. Shadidul; Chowdhury, Sawrab; Hasan, Md. Rabiul; Uddin, Muhammad Shahin; Asaduzzaman, Sayed; Bahar, Ali Newaz (Ingenta Connect, 2017-10-01)
  • LSTM-ANN & BiLSTM-ANN 
    Kowsher, Md.; Tahabilder, Anik; Sanjid, Md. Zahidul Islam; Prottasha, Nusrat Jahan; Uddin, Md. Shihab; Hossain, Md Arman; Jilani, Md. Abdul Kader (Scopus, 2021)
    Machine learning is getting more and more advanced with the progression of state-of-the-art technologies. Since existing algorithms do not provide a palatable learning performance most often, it is necessary to carry on ...
  • An LSTM-Based Word Prediction in Bengali 
    Hasan, Mustahid; Sakib, Nazmus; Hridoy, Rashidul Hasan; Ananto, Nazmul Hossain; Akhter, Sonia; Habib, Md. Tarek (Springer, 2022-11-14)
    "In this paper, Bengali text information has been utilized for predicting the next word contingent based on the previous one. To do that, one should consider two key aspects such as the natural language processing (NLP) ...
  • Lumateperone Interact with S-Protein of Ebola Virus and Tim-1 of Human Cell Membrane 
    Muzammal, Muhammad; Firoz, Ahmad; Ali, Hani Mohammed; Farid, Arshad; Khan, Muzammil Ahmad; Hakeem, Khalid Rehman (Daffodil International University, 22-09-02)
    The Ebola virus outbreak in Africa is an unparalleled risk to society and to human health. Interventions that utilize the host cell receptor TIM-1 and the viral spike protein (S-protein) can be considered effective and ...
  • Lumateperone Interact with S-Protein of Ebola Virus and Tim-1 of Human Cell Membrane 
    Muzammal, Muhammad; Firoz, Ahmad; Ali, Hani Mohammed; Khan, Muzammil Ahmad; Hakeem, Khalid Rehman (Daffodil International University, 22-09-29)
    The Ebola virus outbreak in Africa is an unparalleled risk to society and to human health. Interventions that utilize the host cell receptor TIM-1 and the viral spike protein (S-protein) can be considered effective and ...
  • Lyricist Identification Using Stylometric Features Utilizing BanglaMusicStylo Dataset 
    Marouf, Ahmed Al; Hossian, Rafayet (2019 International Conference on Bangla Speech and Language Processing, ICBSLP 2019, IEEE, 2020-05-13)
    This paper presents a profile-based approach utilizing supervised learning methods to identify the lyricist of Bangla songs written by two legendary poets & novelist Kazi Nazrul Islam and Rabindranath Tagore. The problem ...
  • M82B at Check That! 2021: Multiclass Fake News Detection Using BiLSTM 
    S.S, Ashik; A.R., Apu; N.J., Marjana; M.S., Islam; M.A., Hasan (Scopus, 2021)
    The rapid advancement of web technologies enabled to spread of information online faster. This enabled the spreading of both informative and uninformative information among the people. Fake news represents misinformation ...
  • Machine Learning Algorithm for Student's Performance Prediction 
    Hasan, H.M. Rafi; Rabby, AKM Shahariar Azad; Islam, Mohammad Touhidul; Hossain, Syed Akhter (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Student performance prediction is very important to understand a student progress rate. It is said that `Prevention is better than the cure'. In this Research, we are trying to find out student's current status and predict ...
  • Machine Learning Applied to Kidney Disease Prediction 
    Rabby, A.K.M. Shahariar Azad; Mamata, Rezwana; Laboni, Monira Akter; Ohidujjaman; Abujar, Sheikh (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Machine learning has earned a remarkable position in healthcare sector because of its capability to enhance the disease prediction in healthcare sector. Artificial intelligence and Machine learning techniques are being ...
  • Machine Learning Approach for Bird Detection 
    Mashuk, Farhan; Samsujjoha; Sattar, Abdus; Sultana, Nahida (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is ...
  • A Machine Learning Approach for Driver Identification 
    Ali Khan, Md. Abbas; Ali, Mohammad Hanif; Haque, Fazlul; Habib, Md. Tarek (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Driver identification is a momentous field of modern decorated vehicles in the perspective of the controller area network (CAN-Bus). Many conventional systems are used to identify the driver. One step ahead, most of the ...
  • A Machine Learning Approach for Emotion Classification in Bengali Speech 
    Islam, Md. Rakibul; Akhi, Amatul Bushra; Akter, Farzana; Rashid, Md Wasiul; Rumu, Ambia Islam; Lata, Munira Akter; Ashrafuzzaman, Md. (Institute of Electrical and Electronics Engineers Inc., 2023-01-01)
    In this research work, we have presented a machine learning strategy for Bengali speech emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as features. The commonly utilized method of MFCC ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • A Machine Learning Approach for Sentiment Analysis of Book Reviews in Bangla Language 
    Khatun, Mst. Eshita; Rabeya, Tapasy (Daffodil International University, 2022-05-30)
    With the advent of technology, Sentiment polarity detection has recently piqued the interest of NLP researchers. Sentiment analysis determines the profound meaning of an article. Due to COVID-19 pandemic, online shopping ...
  • 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. ...

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