Now showing items 84-103 of 238

    • Face recognition in the Edge Cloud 

      Muslim, Nasif; Islam, Salekul (ACM, 2017-07)
    • A Feature Group Weighting Method for Classifying High-Dimensional Big Data 

      Sarker, Shakila (2019-11-25)
      Features hold the distinctive characteristics and intrinsic values of data. But it's of no use if the important information and pattern can not be extracted from the data coming from disparate sources and applications. ...
    • Feature Selection Method for DNA-Binding Protein Identification 

      Chowdhury, Shahana Yasmin (2017-12-03)
      DNA-binding proteins play a very important role in the structural composition of the DNA. In addition to that they regulate and effect various cellular processes like transcription, DNA replication, DNA recombination, ...
    • Federated Learning with Adaptive Deep Rule-Based Classifier 

      Saha, Dipu (UIU, 2024-07-15)
      In the past, data processing required the transportation of data to computational re- sources. However, the current paradigm entails the deployment of computational resources to the data’s location. Federated Learning, a ...
    • Find It – A NewWay to Learn Through Play 

      Bari, Md. Tashfiqul; Hassan, Tanvir; Tabassum, Raisa; Ahmed, Zubaida (2018-10-20)
      Curiosity leads human to various inventions to solve problems and cures too many diseases. Autism Spectrum Disorder (ASD) is such a term that there are many researches enduring like Magnetic Resonance Imaging (MRI), called ...
    • Flip-Flop Conversion using Clustering 

      Rashid, Yamir; Mohammad, Prince (United International University, 2018-12-24)
      This thesis work describes the conversion of flip-flops (FF) using Clustering method to generate the Sum of Products (SOP) from the K-Maps. The approach to this work is divided into two major steps: generation of the ...
    • Food Chain Management Using GPS Tracking 

      Akter, Akila (United International University, 2019-12-28)
      With recent technological advancement of modern science people are now expecting the information about the location of any object for tracking purposes. Presently, we want more location based services for being advanced ...
    • frozenfood.com 

      Shanchita, Asma Zaman (United International University, 2018-03-13)
      In today‟s fast-paced trade surroundings, a persuasive and fast reply to client‟s need is the crying need for any successful business. The business-to-consumer of e-commerce is the most noticeable business. The main objective ...
    • Ghorer Bazar 

      Hossain, Tabassum; Tonmoy, Jabid; Yesmin, Farzana; Amin, Muhammad; Oyshi, Taskia; Shaeif, Numair (2022-02-27)
      Listing for groceries is a very difficult and time-consuming work of our life. It is related to the daily life of every person. So, the main goal of our project is to make an application for our users, for their daily ...
    • Halal Food Identification from Product Ingredients using Machine Learning 

      Tarannum, Sabrina (United International University, 2023-09-09)
      Halal food plays a critical role in the Islamic faith, as it represents food that is considered lawful according to Islamic law. Muslims are encouraged to eat only Halal foods to ensure that it aligns to their religious ...
    • Home Security Automation Using Internet of Things 

      Sharma, Sudipta; Uddin, Borhan; Islam, Md. Azizul (2018-05-23)
    • Home Tele-Health System 

      Alam, Khurshed; Mim, Emdadul Haque; Sikder, Shaek Mahmud (United International University, 2018-03-09)
      Information And Communication Technology (ICT) is grown up rapidly in many sectors in Bangladesh. But healthcare system is not so developed in our country using ICT. In this thesis, we have designed a model named Home ...
    • HOSPITAL MANAGEMENT SYSTEM (Android Application) 

      TINNY, JINAT AFSANA (United International University, 2018-03-16)
      By using Hospital Management system - Android application, it will be very easy to maintain Hospital Management. Its functionality is very easy and anyone can use it to manage Hospital Management. Its functionality is ...
    • HRM Analysis with Attendance Device Integration 

      Rahman, Md. Aksadur (United International University, 2019-10-19)
      Usually HRM system is common software in the aspect of company needs. Recently many office of our country are using this type of software. But new technology is continually being developed in the ever-changing world where ...
    • A Hybrid Approach for Feature Subset Selection to Classify High-Dimensional Data 

      Akter, Sanzida; Pritom, Hasib Rashid; Reza, Antara Anika; Suvo, Rakib Hasan (2019-03-27)
      In this modern era, we need to deal with large dimension of data set every day. Be it on social media, business, medicine or gene expression there are thousands of millions data to be processed everyday. So dealing with ...
    • Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Hossain, M Alamgir; Strachan, Rebecca (Expert Systems with Applications, 2014-03-31)
      In this paper, we introduce two independent hybrid mining algorithms to improve the classification accuracy rates of decision tree (DT) and naïve Bayes (NB) classifiers for the classification of multi-class problems. ...
    • A Hybrid POW-POS Implementation Against 51% Attack in Cryptocurrency System 

      Rahman, Abdur (United International University, 2019-07-20)
      Blockchain and cryptocurrencies are drawing more and more attention among the people, due to the overwhelming success of Bitcoin in the market. The success and popularity of Bitcoin mainly focuses the underlying blockchain ...
    • Identification of Bacterial Sigma 70 Promoter Sequences Using Feature Subspace Based Ensemble Classifier 

      Aktar, Usma (2018-09-24)
      Sigma promoter sequences in bacterial genomes are important due to their role in transcription initiation. Sigma70 is one of the most important and crucial sigma factors. In this paper, we address the problem of identification ...
    • Identification of Opioid Patients by Employing Structured and Unstructured Data from MIMIC-III Database 

      Al Amin, Saddam (UIU, 2023-05-20)
      The opioid crisis has led to an increased number of drug overdoses in recent years. Several approaches have been established to predict opioid prescription by health practitioners. However, due to the complex nature of the ...
    • Identifying Sigma 70 Promoters Using Multiple Windowing and Optimal Features 

      Rahman, Md Siddiqur (2018-09-24)
      In bacterial DNA, there are specific sequences of nucleotides called promoters that can bind to the RNA polymerase. Sigma70 (σ 70) is one of the most important promoter sequences due to it’s presence in most of the DNA ...