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Browsing by Subject "Artificial neural networks"

Browsing by Subject "Artificial neural networks"

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  • Age Estimation From Face and Hand Images Using Convolutional Neural Network 
    Sarwar, Zuhayer Mohtasim Bin; Kausaruzzaman, Md.; Noman, Abdullah Al (Daffodil International University, 2021-09-09)
    These days, age estimation is attracting a lot of attention. It has been a mystery long since researchers started working on it. They are still trying to find out what genetical and biological factors are responsible for ...
  • Classification of Heart Disease Using Artificial Neural Network 
    Shahrin, Farzana (Daffodil International University, 2022-01-30)
    We are living in a postmodern time and there are colossal changes happening to our everyday schedules which make an effect on our wellbeing both emphatically and contrarily. As a result of these changes, different sorts ...
  • A Comparative Analysis of Machine Learning Algorithms for Personality Traits Prediction 
    Rahman, MD Mahfuzur; Khan, MD Sheblu (Daffodil International University, 23-02-18)
    Humans' personalities play a significant psychological role. One characteristic that affects how people interact with the outside environment is personality. A person's personality can be thought of as a crucial component ...
  • Detecting Plant Diseases Using Image Recognition in Android Application 
    Hasan, Md. Kamrul; Das, Kushal (Daffodil International University, 2021-06-02)
    The method suggested aims to identify plant disease and offers a solution that can be used as a disease defense mechanism. The Internet data collection is carefully separated and the various plant species classified and ...
  • Development of Efficient Empirical Models for the Prediction of Oil Well Fracture Pressure Gradient 
    Ajibona, A. I.; Taiwo, Blessing Olamide; Afeni, Thoma Busuyi; Akinbinu, Victor Abioye; Emmanuel, Okeleye; Ogunyemi, Olaoluwa Bidemi (©Daffodil International University, 2022-07-17)
    Evaluation of fracture pressure gradient during oil well drilling has been best achieved in the past using the leak-off test. This study however, utilized artificial intelligence techniques involving Hunter Point-Artificial ...
  • Factors Causing Stunting Among Under-Five Children in Bangladesh 
    Abid, Dm. Mehedi Hasan; Haque, Aminul; Hossain, Md. Kamrul (Springer, 2020-10-22)
    Malnutrition is one of the major problems in developing countries including Bangladesh. Stunting is a chronic malnutrition, which indicates low height for age and interrupt the growth. The purpose of this research is to ...
  • Food Quality Prediction Based on Reviews 
    Mohana, Tazrina Haque (Daffodil International University, 2021-09-09)
    Nowadays with the advancement of the internet and technologies people prefer to provide reviews for almost every kind of thing and put them online. It is vital to bring out information from the huge amount of accessible ...
  • Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 
    Ridoy, Md. Asif Mahmud; Sarker, Md. Fahim; Datta, Shuvo (Daffodil International University, 2021-09-24)
    Bangladesh is an agricultural country. Rice is one of the major agricultural products of our country. Rice is the staple food of most of the people in the country. As a result, there is a considerable demand for rice in ...
  • Integrated Use of Rough Sets and Artificial Neural Network for Skin Cancer Disease Classification 
    Hasan, Md. Zahid; Shoumik, Shadman; Zahan, Nusrat (5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019, IEEE, 2019)
    The aim of this study is to build a classifier for predicting a disease existence by learning a least conventional set of features extracted from the clinical dataset. Rough set, indiscernibility relation method along with ...
  • Machine Learning-based Prediction and Possibility for University Admission Based on Student’s Profile 
    Al-Mamun, Md. (Daffodil International University, 2022-02-17)
    The decision of which university to go to for postgraduate studies is quite challenging for students. Many mentors give guides for a fee. It does not help the majority of students. There are a lot of people who have been ...
  • Performance Evaluation of Random Forests and Artificial Neural Networks for the Classification of Liver Disorder 
    Haque, Md. Rezwanul; Islam, Md. Milon; Iqbal, Hasib; Reza, Md. Sumon; Hasan, Md. Kamrul (IEEE, 2018-09-20)
    Liver is the major organ inside the human body which is very supportive for digesting food, eliminating poisons, and stocking energy. The rate of Liver disorder patients is rapidly rising all over the world. But it is very ...
  • Predicting Mobile Phone Usage While Driving: a Two Staged Partial Least Squares and Ann Approach 
    Mowri, Umma Kulsum (©Daffodil International University, 2021-09-17)
    Despite the numerous advantages of mobile phones, they are a major source of distractionfor drivers, making them a global worry.When using a smartphone while driving, whether hands-free or portable, the risk of an accident ...
  • Predicting the Death of Road Accidents in Bangladesh Using Artificial Neural Network 
    Eti, Mst.Sinhanaznin (©Daffodil International University, 2022-02-05)
    Road accidents are now a common occurrence in our country. Road accidents are increasing by leaps and bounds in Bangladesh every day. Every day countless people are losing their lives in road accidents. The effect of a ...
  • Revisiting the Class Imbalance Issue in Software Defect Prediction 
    Sohan, Md. Fahimuzzman; Kabir, Md Alamgir; Jabiullah, Md. Ismail; Rahman, Sheikh Shah Mohammad Motiur (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-04-04)
    Software defect prediction is related to the testing area of software industry. Several methods have been developed for the prediction of bugs in software source codes. The objective of this study is to find the inconsistency ...
  • A Web Based Four-Tier Architecture using Reduced Feature Based Neural Network Approach for Prediction of Student Performance 
    Hossen, Md. Anwar; Bin Alamgir, Rakib; Alam, Arman Ul; Siddika, Fatema; Hossain, Shah Fahad; Arman, Md. Shohel (IEEE, 2021-01)
    Enhancing student's performance is a significant part of developing quality education in any educational institute. It is very difficult to get promising student performance without student categorization according to their ...
  • The X-layer Optimization in CRN Using Deep Q-Network for Secure High Speed Communication 
    Islam, Chowdhury Sajadul; Mollah, Sarwar Hossain (2019 11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019, IEEE, 2019-12-12)
    Cognitive Radio Networks (CRNs) offers an effective solution for radio spectrum scarcity problem and cyber-security to the growth of 5G technologies and the Internet of Things (IoT) devices. In this paper, the CRNs do ...

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