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Browsing by Subject "Architecture"

Browsing by Subject "Architecture"

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  • Zigor, Sheikh Mohammad Ataul Hakim (Daffodil International University, 22-05-22)
    The way people express their thoughts is changing every day. One of the newest forms of the medium is 3D animation. My pastime evolved into 3D visualization. So, the AAVA 3d institution has chosen me for my internship ...
  • Huda, Nesma (Daffodil International University, 23-01-29)
    One of the most hazardous and severe diseases that people experience globally is colon and lung cancer, which has spread to become a common medical issue. It is very important to make a reliable and early discovery to ...
  • Chakraborty, Sovon; Talukder, Muhammad Borhan Uddin; Hasan, Mohammad Mehadi; Noor, Jannatun; Uddin, Jia (Springer Nature Limited, 2023-10-04)
    Artificial Intelligence (AI) is increasingly being employed in critical decision-making processes such as medical diagnosis, credit approval, criminal justice, and many more. However, many AI models exploit complex algorithms ...
  • Akash, Nazmus Sakib; Rouf, Shakir; Jahan, Sigma; Chowdhury, Amlan; Chakrabarty, Amitabha; Uddin, Jia (Daffodil International University, 2022-04-07)
    Raw starch degrading enzyme specially glucoamylase with starch binding domain (SBD) has great values in the starch processing industry because it digests the starch particles below the gelatinization temperature by releasing ...
  • Raju, Mahedi Hasan (Daffodil International University, 22-10-29)
    This document describes the work I have done as part of my six-month internship at BugsBD Limited in Vulnerability Assessment. The first task of this internship was the found vulnerability, targeted toward security auditors ...
  • Bhuiyan, Mazedul Haque; Arju, Muhammad Ashfakur Rahman (Springer, 2023-11-06)
    Different cervical pap smear cell categorization schemes have recently been presented, the majority of which were binary classifications of normal and abnormal cells. This paper presents the findings of a comprehensive ...
  • Jidan, Omar Jilani; Paul, Susmoy; Roy, Anirban; Khushbu, Sharun Akter; Islam, Mirajul; Badhon, S.M. Saiful Islam (IJACSA, 2023-06-01)
    This study presents a comparative analysis of different deep convolutional neural network (DCNN) architectures, including VGG19, NASNet, ResNet50, and MobileNetV2, with and without data augmentation, for the automatic ...
  • Roni, Nasim Ahmed; Hossain, Md. Shazzad; Hossain, Musarrat Bintay; Efat, Md. Iftekharul Alam; Yousuf, Mohammad Abu (Springer, 2023-06-11)
    Early discernment of breast cancer can significantly improve the prospect of successful recovery and survival, but it takes a lot of time that frequently leads to pathologists disagreeing. Recently, much research has tried ...
  • Biswas, Binti (Daffodil International University, 2024-01-21)
    Technological innovation has greatly improved our quality of life. But people's attention spans are getting shorter and people want to read for shorter periods of time at a rapid pace. Because of this, it's crucial to ...
  • Osman, Labeed Jafar (Daffodil International University, 22-08-01)
    Brain tumors are recognized as one of the most deadly malformations because of its persistent effects on the brain and consequent impact on the patient's overall wellbeing. Early detection of the brain tumors is prerequisite ...
  • Bunjaridh, Yuveelai; Rahman, Rahimi A.; Yusof, Liyana Mohamed (2023-08-25)
    Digital twin technology has grown over the years. However, a digital twin cannot be produced effectively without adequate organizational attributes. Inaccurate digital twins cannot be used for the operation and maintenance ...
  • Ahamed, Md. Khabir Uddin; Islam, Md Manowarul; Uddin, Md. Ashraf; Akhter, Arnisha; Acharjee, Uzzal Kumar; Paul, Bikash Kumar; Moni, Mohammad Ali (MDPI Publications, 2023-03-02)
    COVID-19 is a severe respiratory contagious disease that has now spread all over the world. COVID-19 has terribly impacted public health, daily lives and the global economy. Although some developed countries have advanced ...
  • Hossain, B M Sajid; Chanchol, MD. Shihab Parves (23-01-29)
    As Bangladesh has so many amazing places to visit there are a large number of people who travels a lot and having a good idea about the place is always a plus point so this project seeks to develop a traveling website that ...
  • Noman, Ayub (Daffodil International University, 2023-09-16)
    A professional learning opportunity termed an internship conveys students the chance to work on projects that are relevant to their studies or career interests. The probability to explore, evolve, and acquire new abilities ...
  • Ashraf, Mohsin; Abid, Fazeel; Uddin, Ikram; Rasheed, Jawad; Yesiltepe, Mirsat; Yeo, Sook Fern; Erso, Merve T. (MDPI, 2023-01-22)
    Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy. Many methods have utilized ...
  • Eshika, Maymuna Jahan (Daffodil International University, 22-10-01)
    3D visualization has become everyday feature of current architectural 3d design process [1]. The aim of using 3D software is to serve as a foundation for the architects and the engineers in the sector of designing. The ...
  • Islam, Mohiminul (Daffodil International University, 22-09-01)
    I'll be showcasing my accomplishments and the lessons I'm learning from my internship in this report. My primary focus during my internship as a networking engineer has been to advance my networking skills and knowledge ...
  • Rajabi, Mohammad Sadra; Radzi, Afiqah R.; Rezaeiashtiani, Mohammad; Famili, Alireza; Rashidi, Mohammad Emad; Rahman, Rahimi A (Daffodil International University, 2022-07-14)
    Building information modeling (BIM) is an emerging process for managing the design, construction, operation, and maintenance of a facility. While BIM has developed in diverse aspects, the lack of organizational BIM ...
  • Sourov, Md. Abugalib (Daffodil International University, 2024-01-01)
    The goal of this research is to create a reliable system for classifying local bird species using modern deep learning architectures. The dataset forms the basis for this study and consists of 1,179 photos covering seven ...
  • Basalamah, Anas; Rahman, Shadikur (Springer, 2022-04-15)
    This paper demonstrates empirical research on using convolutional neural networks (CNN) of deep learning techniques to classify X-rays of COVID-19 patients versus normal patients by feature extraction. Feature extraction ...

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