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  • Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach 
    Islam, Md. Rakibul; Abdulrazak, Lway Faisal; Alam, Mohammad Khursheed; Paul, Bikash Kumar; Ahmed, Kawsar; Bui, Francis M.; Moni, Mohammad Ali (Daffodil International University, 2022-01-04)
    Background: Medulloblastoma (MB) is the most occurring brain cancer that mostly happens in childhood age. This cancer starts in the cerebellum part of the brain. This study is designed to screen novel and significant ...
  • Identification of Spoken Language Using Machine Learning Approach 
    Shahriar, Md. Asif; Aziz, Tftekhar; Banik, Shovan; Sattar, Abdus (23rd International Conference on Computer and Information Technology (ICCIT), IEEE, 2020-12-19)
    Identification of spoken language is the way to detect the specific language which is spoken by an anonymous speaker. We will also find out several techniques of machine learning for detecting spoken language. Our major ...
  • Identification of the Core Ontologies and Signature Genes of Polycystic Ovary Syndrome (PCOS) 
    Islam, Md Rakibul; Ahmed, Md Liton; Paul, Bikash Kumar; Bhuiyan, Touhid; Ahmed, Kawsar; Moni, Mohammad Ali (Informatics in Medicine Unlocked, Elsevier, 2020)
    Worldwide polycystic ovary syndrome (PCOS) is one of the most common hormonal disorders in women of reproductive age. However, there is a lack of genetic study of the internal mechanisms of PCOS. Herein, we identify core ...
  • Identification of Vital Regulatory Genes with Network Pathways among Huntington’s, Parkinson’s, and Alzheimer’s Diseases 
    Kawsar, Md.; Taz, Tasnimul Alam; Paul, Bikash Kumar; Ahmed, Kawsar; Habib, Md. Ahsan; Bhuyian, Touhid (Network Modeling Analysis in Health Informatics and Bioinformatics, Springer, 2020-07-16)
    In the world, Huntington’s disease, Parkinson’s disease, and Alzheimer’s disease are reported as the most deadly diseases to issue common disorders for human beings. In state-of-the-art works, it is well studied that ...
  • Identified Necessary Skills to Establish a Center of Excellence in Vocational Education for Green Innovation 
    Shamzzuzoha, Ahm; Chavira, Pablo Cisneros; Kekäle, Tauno; Kuusniemi, Heidi; Jovanovski, Bojan (Elsevier, 22-12-15)
    Innovation is critical for any organization to maintain sustainability and to grow. In today's world, where environmental concerns are constantly increasing, companies must adopt greener innovation strategies. These greener ...
  • Identifying and Modeling the Strengths and Weaknesses of Major Economic Models in Grid Resource Management 
    Haque, Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran (Springer, 2014-01-17)
    Economic-based approaches have been found to be effective for distributed resource management in Grid computing. However, deciding which model to use is challenging, because (1) the performance stability of a particular ...
  • Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 
    Ridoy, Md. Asif Mahmud; Sarker, Md. Fahim; Datta, Shuvo; Sattar, Abdus (Scopus, 2021)
    Bangladesh is an agricultural country. Rice is one of the major agricultural products of this country. Rice is the staple food of most of the people in Bangladesh. As a result, there is a considerable demand for rice. So, ...
  • Identifying Neuroticism from User Generated Content of Social Media Based on Psycholinguistic Cues 
    Marouf, Ahmed Al; Hasan, Md. Kamrul; Mahmud, Hasan (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-02-09)
    Social media has become a huge repository of textual data and images as each of the users' are creating posts, sharing views or news, capturing the moments via photos etc. Sharing or posting statuses/tweets could be ...
  • Identifying the Associated Risk Factors of Sleep Disturbance During the Covid-19 Lockdown in Bangladesh 
    Ara, Tasnim; Rahman, Md. Mahabubur; Hossain, Md. Abir; Ahmed, Amir (Frontiers in Psychiatry, 2020-09-17)
    Background: Bangladesh, a developing country with a lower-middle-income and one of the world’s most densely populated areas, has been severely affected by COVID-19. This global epidemic is not only affecting the physical ...
  • Identifying the Writing Style of Bangla Language Using Natural Language Processing 
    Shetu, Syeda Farjana; . Saifuzzaman, Mohd; Parvin, Masuma; Moon, Nazmun Nessa; Yousuf, Ridwanullah; Sultana, Sharmin (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, IEEE, 2020-10-15)
    Bangla is one of the 8th major spoken languages around the world and like other widely spoken languages, it is a very morphologically rich language. It has two styles, one is standard literary style, known as Sadhu Bhasha ...
  • IDTi-CSsmoteB 
    Mahmud, S. M. Hasan; Chen, Wenyu; Jahan, Hosney; Liu, Yongsheng; Sujan, Nasir Islam; Ahmed, Saeed (IEEE Access, 2019-04-11)
    Identifying interaction between drug and protein is a crucial challenge in drug discovery, which can lead the researchers to develop novel drug compounds or new target proteins for the existing drugs. The determination of ...
  • IFSG 
    Salehin, Imrus; Noman, S. M.; Ul-Islam, Baki; Lopa, Israt Jahan; Angon, Prodipto Bishnu; Habiba, Ummya; Moon, Nazmun Nessa (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The agricultural and technological combination is blessed for modern world life. Internet of things (IoT) is essential for comfort and development to our agriculture side. In our study, we detected the various pest using ...
  • An Image Steganography Algorithm Using LSB Replacement through XOR Substitution 
    Bhuiyan, Touhid; Sarower, Afjal H.; Hassan, Maruf; Karim, Rashed (IEEE, 2019-12-23)
    Least Significant Bit replacement, a spatial domain algorithm, is the most popular and widely used technique in image steganography due to its simplicity and effectiveness. Different methods of data hiding in spatial domain ...
  • Image-based Soft Drink Type Classification and Dietary Assessment System Using Deep Convolutional Neural Network with Transfer Learning 
    Hafiz, Rubaiya; Rakshit, Aniruddha; Uddin, Mohammad Shorif; Haque, Mohammad Reduanul (Journal of King Saud University - Computer and Information Sciences, 2020-09-09)
    Nowadays, people are taking soft drinks (carbonated nonalcoholic beverages) at an increasing rate. Health experts around the world have cautioned from time to time that these drinks lead to weight gain, raise the risk of ...
  • Image-Based Soft Drink Type Classification and Dietary Assessment System Using Deep Convolutional Neural Network with Transfer Learning 
    Hafiz, Rubaiya; Haque, Mohammad Reduanul; Rakshit, Aniruddha; Uddin, Mohammad Shorif (Daffodil International University, 2020-09-09)
    Nowadays, people are taking soft drinks (carbonated nonalcoholic beverages) at an increasing rate. Health experts around the world have cautioned from time to time that these drinks lead to weight gain, raise the risk of ...
  • The Impact of Board Gender Diversity on the Financing Costs of Microfinance Institutions 
    Mia, Md Aslam; Hossain, Tanzina; Nesa, Zinnatun; Nesa, Zinnatun; Saifullah, Md Khaled; Akter, Rozina; Hossain, Md Imran (Daffodil International University, 2022-11-02)
    Purpose Considering the existing evidence on the impact of female board members on the default risks of an organization, the purpose of this study is to investigate the effect of board gender diversity, alongside ...
  • Impact of Climate Change on Agricultural Production; Issues, Challenges, and Opportunities in Asia 
    -Ur-Rahman, Muhammad Habib; Ahmad, Ashfaq; Raza, Ahsan; Hasnain, Muhammad Usama; Alharby, Hesham F; M Alzahrani, Yahya; Bamagoos, Atif A; Hakeem, Khalid Rehman; Ahmad, Saeed; Nasim, Wajid; Ali, Shafaqat; Mansour, Fatma; Sabagh, Ayman El (Scopus, 22-10-18)
    Agricultural production is under threat due to climate change in food insecure regions, especially in Asian countries. Various climate-driven extremes, i.e., drought, heat waves, erratic and intense rainfall patterns, ...
  • The Impact of Corona Pandemic on the E-commerce Industry Using Data Mining 
    Nishat Khan, Faria; Uddin, Syed Rakesh; Shampod, Yeasin Arafat; Sattar, Abdus (5th International Conference on Computing Methodologies and Communication (ICCMC), IEEE, 2021-05-06)
    In this 21 st century, the world got introduced to a new respiratory system attacking virus called “Coronavirus”, causing a disease called "Covid-19". As this virus is very contagious and spread through physical contact ...
  • The Impact of COVID-19 on Bangladesh’s Economy 
    SHAHRIAR, Mohammad Shibli; ISLAM, K.M. Anwarul; ZAYED, Nurul Mohammad; HASAN, K.B.M. Rajibul; RAISA, Tahsin Sharmila (Scopus, 2021)
    The COVID-19 pandemic is having an adverse impact on Bangladesh's economy by affecting millions of people's life and hampering their income sources. The outbreak of COVID-19 has created more pressure on the labor market. ...
  • Impact of COVID-19 on Construction Projects 
    Rani, Hafnidar A.; Farouk, Abdelrahman M.; Anandh, K. S.; Almutairi, Saud; Rahman, Rahimi A. (Daffodil International University, 2022-06-13)
    The COVID-19 pandemic has affected the whole world, including India, especially in the construction sector. The study aims to identify, compare, and analyze the critical pandemic impacts (CPI) on construction projects ...

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