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  • Text Analysis for Bengali Text Summarization Using Deep Learning 
    Munzir, Abdullah Al; Rahman, Md. Lutfor; Abujar, Sheikh; Ohidujjaman; Hossain, Syed Akhter (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Text summarization is an approach by which the size of one or more document is shortened and the shorten passage presents the core information of the document. In this modern era of information technology, we are over ...
  • Text Analysis for Bengali Text Summarization Using Deep Learning 
    Munzir, Abdullah Al; Rahman, MD. Lutfor (Daffodil International University, 2019-05-03)
    Text summarization is an approach by which the size of one or more document is shorten and the shorten passage presents the core information of the document. In this modern era of information technology, we are over flooded ...
  • Text Classification on Twitter Data Using Machine Learning Algorithm 
    Ruchika; Sharma, Mayank; Hossain, Syed Akhtar (Scopus, 2021)
    Classification of text is the major challenge faced by the industries so that they can extract the required information from that data. With the advent of machine learning, it becomes a lot easier for the engineers to ...
  • Text Extraction through Video Lip Reading Using Deep Learning 
    Chowdhury, S.M. Mazharul Hoque; Rahman, Mushfiqur; Oyshi, Marzan Tasnim; Hasan, Md. Arid (Scopus, 2020)
    Automated text extraction from video data through lip reading can overcome the language barrier and open the door of opportunities in terms of security, connectivity and physical challenges. The conversion is possible by ...
  • Text, face and object detection using machine learning 
    Sarker, Shuvashish; Khan, Rafikul Islam; Billah, Mohammad Masum (Daffodil International University, 2019-10-15)
    Text, Face & Object Detection using Machine Learning is an application which offers users to apply machine learning-based functionalities in the real-life event. This application will give the users to recognize text and ...
  • Textile Colouration With Natural Colourants 
    Uddin, Mohammad Abbas; Rahman, Md. Mahbubor; Haque, Abu Naser Md Ahsanul; Smriti, Shamima Akter; Datta, Eshita; Farzana, Nawshin; Chowdhury, Sutapa; Haider, Julfikar; Sayem, Abu Sadat Muhammad (Daffodil International University, 2022-05-15)
    This paper provides an in-depth review of the natural colourants covering their classifications, sources, extraction techniques, application techniques in relation to different textile fibres and their advantages and ...
  • Textile Testing and Quality Management 
    Abu Rasel, Md.; Hossain, Md. Imran; Forhadul Islam, Md. (Daffodil International University, 2019-12-06)
    Quality might be characterized as the degree of acknowledgment of merchandise oradministrations. For the material and attire industry, item quality is determined as far as qualityand standard of filaments, yarns, texture ...
  • TEXTURAL PROPERTIES OF ROCK FOR PENETRATION RATE PREDICTION 
    Adebayo, B.; Akande, J.M. (Daffodil International University, 2011-01-01)
    The relationship between textural properties of selected Nigeria rocks and penetration rate of top-hole hammer drill was investigated. These rock samples were tested in the laboratory for mineral composition, silica ...
  • Thalassemia and Cell Based Gene Therapy (Zynteglo) 
    Rahman, Shazidur (Daffodil International University, 23-05-08)
    Thalassemia is a group of inherited blood disorders characterized by decreased or absent production of one or more of the globin chains that make up hemoglobin. It is a major public health problem, particularly in the ...
  • Thalassemia in Bangladesh 
    Chowdhury, Moniruddin; Sheba, Nusrat Hossain; Hossain, Sharmin; Khanom, Khurshida; Hussain, Md. Anower; Islam, Md. Rabiul (Daffodil International University, 2019-07-17)
    Thalassemia is a common form of hemoglobin disorder that has been emerged as a global public health concern. It is more common in developing countries than the developed countries. There is a lack of adequate data on the ...
  • Thalassemia Prediction Using a Machine Learning Approach 
    Karmaker, Pushpita; Devanath, Ananyna; Akter, Shahnaz (Daffodil International University, 2022-01-03)
    Thalassemia is one kind of genetic blood disease/disorder which is caused if human body can‟t produce sufficient hemoglobin. It is known that hemoglobin is a very common essential part of anyone‟s body. RBC‟s of human ...
  • Thalassemia Prediction Using A Machine Learning Approach 
    Karmaker, Pushpita; Devanath, Ananyna; Akter, Shahnaz (Daffodil International University, 2022-01-03)
    Thalassemia is one kind of genetic blood disease/disorder which is caused if human body can‟t produce sufficient hemoglobin. It is known that hemoglobin is a very common essential part of anyone‟s body. RBC‟s of human ...
  • Thalassemia Prediction Using Machine Learning Model 
    Rabbani, Md Golam; Zaman, Sharmila; Hemel, Reaz Uddin (©Daffodil International University, 2022-01-13)
    Thalassemia is a genetic blood disease inherited from parents. It is the most common and concerning genetic disorder globally. Minor to major anemia and transfusion dependence is the main symptom of this disease. In South ...
  • Thalassemia Prediction Using Machine Learning Model 
    Rabbani, Md Golam; Zaman, Sharmila; Hemel, Reaz Uddin (©Daffodil International University, 2022-01-13)
    Thalassemia is a genetic blood disease inherited from parents. It is the most common and concerning genetic disorder globally. Minor to major anemia and transfusion dependence is the main symptom of this disease. In South ...
  • Thalassemia Prediction Using Machine Learning Model 
    Rabbani, Md Golam; Zaman, Sharmila; Hemel, Reaz Uddin (©Daffodil International University, 2022-01-13)
    Thalassemia is a genetic blood disease inherited from parents. It is the most common and concerning genetic disorder globally. Minor to major anemia and transfusion dependence is the main symptom of this disease. In South ...
  • The Theme of Conflict in The Novels of F. Scott Fitzgerald 
    Das, Shusil Kumar (2013-12-14)
    Conflict of various dimensions is a major theme operating at subtle scales in the deeper levels of the novels of F. Scott Fitzgerald. Through the ever-operative force of conflic,t the novelist has demonstrated the essential ...
  • 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 ...
  • Theoretical efficiency and cell parameters of AlAs/GaAs/Ge based new multijunction solar cell 
    Mouri, Syeda Puspita; Sakib, Syed Nazmus; Kaiser, M. Shamim (IEEE Xplore, 2017-03-09)
    This paper represents theoretical efficiency and cell parameters of AlAs/GaAs/Ge based mew multijunction solar cell. A very new and unique model of multijunction solar is introduced in this paper. Using the modified version ...
  • Theoretical efficiency of AlAs/GaAs/GaAs0.91Bi0.085 based new multijunction solar cell and effects of solar radiation and sun concentration on it 
    Sakib, Syed Nazmus; Mouri, Syeda Puspita; Kowsar, Abu; Rahaman, Mashudur; Kaiser, M. Shamim (IEEE Xplore, 2016-07-28)
    This paper represents Theoretical Efficiency of AlAs/GaAs/GaAs0.9Bi0.085 based new multijunction solar cell and effects of solar radiation and sun concentration on it. A new solar cell configuration has been introduced in ...
  • A Theoretical Plethora of Modelling Actuarial Risk Aversion Coefficient 
    Ogungbenle, Gbenga Michael; Zayed, Nurul Mohammad; Hassan, Mohammad Arif; Imran, Mohammad Ali (©Daffodil International University, 2021-12-17)
    The goal of the paper is to theoretically evaluate an approximate actuarial aversion risk coefficient in relation to future utility trend and discuss an analytic model for investigating the behaviour of risk aversion random ...

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