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Browsing DIU Faculty Publication by Title

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  • Selenate and Selenite Transporters in Proso Millet 
    Mushtaq, Naveed Ul; Alghamdi, Khalid M.; Saleem, Seerat; Shajar, Faamiya; Tahir, Inayatullah; Bahieldin, Ahmad; Ul Rehman, Reiaz; Hakeem, Khalid Rehman (Scopus, 22-11-30)
    Crops are susceptible to a variety of stresses and amongst them salinity of soil is a global agronomic challenge that has a detrimental influence on crop yields, thus posing a severe danger to our food security. Therefore, ...
  • Self-assessed Health Status among Ethnic Elderly of Tea Garden Workers in Bangladesh 
    Hossain, Md Kamrul; Ferdushi, Kanis Fatama; Khan, Hafiz T. A. (Ageing International, SpringerLink, 2019-08-13)
    The proportion of elderly has been increased gradually over the past years and this has created many causes for concerns particularly in individual’s health status. Relatively little is known about health status of older ...
  • Self-Gated Rectified Linear Unit for Performance Improvement of Deep Neural Networks 
    Jahana, Israt; Ahmeda, Md. Faisal; Alia, Md. Osman; Janga, Yeong Min (Daffodil International University, 2022-01-03)
    This technical paper proposes an activation function, self-gated rectified linear unit (SGReLU), to achieve high classification accuracy, low loss, and low computational time. Vanishing gradient problem, dying ReLU, noise ...
  • Self-powered IoT-Based Design for Multi-purpose Smart Poultry Farm 
    Akhund, Tajim Md. Niamat Ullah; Snigdha, Shouvik Roy; Reza, Md. Sumon; Newaz, Nishat Tasnim; Saifuzzaman, Mohd.; Rashel, Masud Rana (Scopus, 2021)
    The purpose of the present work is to make an IoT-based smart poultry farm system. In this work, the power supply is developed using renewable energy mainly with solar energy and nano-hydro. This IoT-based module helps to ...
  • SemEval-2022 Task 
    Zamparelli, Roberto; Chowdhury, Shammur A; Brunato, Dominique; Chesi, Cristiano; Dell’Orletta, Felice; Hasan, Arid; Venturi, Giulia (Daffodil International University, 2022-07-20)
    We report the results of the SemEval 2022 Task 3, PreTENS, on evaluation the acceptability of simple sentences containing constructions whose two arguments are presupposed to be or not to be in an ordered taxonomic relation. ...
  • sEMG activities of the three heads of the triceps brachii muscle during cricket bowling 
    Ali, Md. Asraf; Sundaraj, Kenneth; Ahmad, R. Badlishah; Ahamed, Nizam Uddin; Islam, Md. Anamul; Sundaraj, Sebastian (World Scientific, 2016)
    The aim of the present study was to analyze the surface electromyography (sEMG) activities generated by the three heads of the triceps brachii (TB) muscle among the different phases during fast and spin bowling. sEMG signals ...
  • Sensitive Determination of Anastrozole and Letrozole in Urine Samples by Novel Magnetic Nanoparticles Containing Tetraethylenepentamine (TEPA) Prior to Analysis by High-Performance Liquid Chromatography-Diode Array Detection 
    Ulusoy, Songül; Locatelli, Marcello; Tartaglia, Angela; Kabir, Abuzar; Ulusoy, Halil İbrahim (Daffodil International University, 2022-02-20)
    Magnetic solid-phase extraction coupled to high-performance liquid chromatography (HPLC)-diode array detection method has been developed for the sensitive analysis of Anastrozole (ANA) and Letrozole (LET) in human urine ...
  • Sensitive MWCNTP-Cys@MIP Sensor for Selective Electrochemical Detection of Ceftizoxime 
    Ali, M. R.; Bacchu, M. S.; Al-Mamun, M. R.; Rahman, M. M.; Ahommed, M. S.; Aly, M. Aly Saad; Khan, M. Z. H. (Journal of Materials Science, Springer, 2021-04-29)
    An electrochemical sensor based on molecular imprinted polymer (MIP) to detect ceftizoxime (CFX) with high sensitivity and selectivity is demonstrated. MIP was synthesized by electropolymerization of poly-cysteine (P-Cys) ...
  • Sensitivity Analysis for Detecting Chemicals by the Optical Chemical Sensor Based Photonic Crystal Fiber (PCF) in the Terahertz (THz) Regime 
    Hossain, Md Selim; Faruq, Md Omar; Rana, Md Masud; Sen, Shuvo; Haque, Md Dulal; Azad, Mir Mohammad (Physica Scripta, 2021-12-23)
    This research article demonstrates a good simulation result for identifying and detecting various industrial chemicals in a Terahertz (THz) waveguide with a new heptagonal, five layers of heptagonal photonic fiber elliptic ...
  • Sensor based Smart Automated Gas Leakage Detection and Prevention System 
    Tasnim, Zarrin; Das, Saikat; Islam, Rakibul; Biswas, Jahanur; Shamrat, F. M. Javed Mehedi; Khater, Ankit (Daffodil International University, 2022-05-02)
    Liquefied petroleum gas (LPG) is commonly used for heating, cooking, automotive power, and various other uses worldwide. LPG is a particularly flammable gas, and LPG leaks cause significant incidents. The cause may arise ...
  • Sentence Similarity Estimation for Text Summarization Using Deep Learning 
    Abujar, Sheikh; Hossain, Syed Akhter; Hasan, Mahmudul (Springer Nature, 2018-10-04)
    One of the key challenges of natural language processing (NLP) is to identify the meaning of any text. Text summarization is one of the most challenging applications in the field of NLP where appropriate analysis is needed ...
  • Sentence Similarity Estimation for Text Summarization Using Deep Learning 
    Abujar, Sheikh; Hasan, Mahmudul; Hossain, Syed Akhter (Advances in Intelligent Systems and Computing, Springer, 2018-10-04)
    One of the key challenges of natural language processing (NLP) is to identify the meaning of any text. Text summarization is one of the most challenging applications in the field of NLP where appropriate analysis is needed ...
  • Sentence Similarity Measurement for Bengali Abstractive Text Summarization 
    Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Tusher, Raja Tariqul Hasan; Faisal, Fahad; Hossain, Syed Akhter (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Text summarization is a massive research area in natural language processing. It reduces the larger text and provided the prime meaning of a text document. Find the meaning of the larger text needed of a proper text analysis ...
  • Sentence-Based Topic Modeling Using Lexical Analysis 
    Rahman, Shahinur; Abujar, Sheikh; Chowdhury, S. M. Mazharul Hoque; Saifuzzaman, Mohd.; Hossain, Syed Akhter (Springer, 2018-09-02)
    Data is not meaningful unless its information could be extracted. In every second in this world, we are generating millions of data over the Internet in different form. Most of them are in text format. Usually, data is ...
  • Sentence-Based Topic Modeling Using Lexical Analysis 
    Rahman, Shahinur; Abujar, Sheikh; Chowdhury, S. M. Mazharul Hoque; Saifuzzaman, Mohd.; Hossain, Syed Akhter (Springer Nature Singapore Pte Ltd., 2018-09-02)
    Data is not meaningful unless its information could be extracted. In every second in this world, we are generating millions of data over the Internet in different form. Most of them are in text format. Usually, data is ...
  • Sentence-based Topic Modeling Using Lexical Analysis 
    Rahman, Shahinur; Abujar, Sheikh; Chowdhury, S. M. Mazharul Hoque; Saifuzzaman, Mohd.; Hossain, Syed Akhter (Advances in Intelligent Systems and Computing, Springer, 2018-09-02)
    Data is not meaningful unless its information could be extracted. In every second in this world, we are generating millions of data over the Internet in different form. Most of them are in text format. Usually, data is ...
  • A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application 
    Rahman, Md. Mahfuzur; Motiur Rahman, Sheikh Shah Mohammad; Allayear, Shaikh Muhammad; Patwary, Md. Fazlul Karim; Munna, Md. Tahsir Ahmed (Springer, 2020-01-09)
    The consistency of user satisfaction on mobile application has been more competitive because of the rapid growth of multi-featured applications. The analysis of user reviews or opinions can play a major role to understand ...
  • Sentiment Analysis from Bangla Text Review Using Feedback Recurrent Neural Network Model 
    Saha, Pratim; Sultana, Naznin (Scopus, 2021)
    Sentiment analysis is one of the most discussed topics in natural language processing. A number of researches have already been made on sentiment analysis, and most of the works are on English language text. There are only ...
  • Sentiment Analysis from Bengali Depression Dataset using Machine Learning 
    Khan, Md. Rafidul Hasan; Afroz, Umme Sunzida; Kaisar, Abu; Masum, Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2020)
    Nowadays, Sentiment Analysis is one of the advanced matters of natural language processing. Sentiment analysis determines a particular pole of a paragraph. Our purpose is to find the sentiment from the Bengali paragraph ...
  • Sentiment Analysis From Depression-related User-generated Contents from Social Media 
    Saha, Ananna; Marouf, Ahmed Al; Hossain, Rafayet (2021 8th International Conference on Computer and Communication Engineering (ICCCE), IEEE, 2021-07-01)
    In this paper, we try to detect the sentiment levels such as positive, negative and neutral sentiments from depression related posts and comments generated in social media platforms. Social media platforms such as Facebook, ...

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