Search Results - (( customer detection based algorithm ) OR ( java adaptation optimization algorithm ))

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    Vader lexicon and support vector machine algorithm to detect customer sentiment orientation by Vivine Nurcahyawati, ., Zuriani, Mustaffa

    Published 2023
    “…Background: The concept of customer orientation, which is based on a set of fundamental beliefs that prioritize the interests of the customer, requires companies to detect these interests in order to maintain a high level of quality in their products or services. …”
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    Article
  3. 3

    Facial expression type recognition using K-Nearest Neighbor algorithm / Norhafizah Saffian by Saffian, Norhafizah

    Published 2017
    “…Based on this calculation, the accuracy of this algorithm is 93% using the k values of 5. …”
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    Thesis
  4. 4

    Scalability and performance in duplicate detection : relational vs. graph database by Muhammad Farhad, Khaharruddin

    Published 2023
    “…As a result, they may not be effective in identifying and resolving duplicate data in certain use cases. Graph-based algorithms such as community detection, may prove beneficial as it can capture a more complex relationships between data. …”
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    Undergraduates Project Papers
  5. 5

    Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream by Abdulateef, Alaa Fareed

    Published 2023
    “…This may be useful for real-world applications such as surveillance systems based on IoT and customer behaviour analytics systems.…”
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    Thesis
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    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

    Published 2017
    “…This classification could detect customers with default payments earlier, so that actions could be taken by the credit card issuers. …”
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    Thesis
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    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

    Published 2022
    “…YOLOv7 is chosen as the object detection algorithm to detect sun, while Q-learning is chosen as the algorithm for reinforcement learning to control the motors. …”
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    Final Year Project / Dissertation / Thesis
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    Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices by Saadeldin, Abuelgasim, Rashid, Muhammad Mahbubur, Shafie, Amir Akramin, Hasan, Tahsin Fuad

    Published 2024
    “…The system makes use of a custom-built vehicle detection algorithm based on the you only look once version 8 nano (YOLOv8n), combined with a deep association metric (DeepSORT) object tracking algorithm and an efficient vehicle counting method for accurate counting of vehicles in highway scenes. …”
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    Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data by Qidwai, U., Malik, A.S., Shakir, M.

    Published 2014
    “…While the clinical testing of the device is still awaited, various scenarios have been implemented using a custom-built hardware simulator based on empirical modeling of the real EEG signals. …”
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    Conference or Workshop Item
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    Predicting pneumonia and region detection from X-Ray images using deep neural network by Sheikh Md, Hanif Hossain, S M, Raju, Ismail, Amelia Ritahani

    Published 2021
    “…The algorithm is based on the transfer learning mechanism where pretrained ResNet-50 (Convolutional Neural Network) was used followed by some custom layer for making the prediction. …”
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    Article
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    Similarity distance measure and prioritization algorithm for test case prioritization in software product line testing by Abd Halim, Shahliza, Abang Jawawi, Dayang Norhayati, Sahak, Muhammad

    Published 2019
    “…Among the most promising TCP techniques is similarity-based TCP technique which consists of similarity distance measure and prioritization algorithm. …”
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    Article
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    Customer sentiment analysis through social media feedback: A case study on telecommunication company by Mat Zain, Siti Nur Syamimi, Ramli, Nor Azuana, Adnan, Rose Adzreen

    Published 2022
    “…Customer sentiment analysis is an automated way of detecting sentiments in online interactions in order to assess customer opinions about a product, brand or service. …”
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    Article
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    Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

    Published 2014
    “…While the clinical testing of the device is still awaited, various scenarios have been implemented using a custom-built hardware simulator based on empirical modeling of the real EEG signals. …”
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    Book Section
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    Customer sentiment analysis through social media feedback by Siti Nur Syamimi, Mat Zain

    Published 2022
    “…Customer sentiment analysis is an automated way of detecting sentiments in online interactions in order to assess customer opinions about a product, brand or service. …”
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    Undergraduates Project Papers
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    An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias by Alias, Nur Farehah

    Published 2017
    “…Therefore, this project has proposed a method called token based alert notification. There are three algorithm developed for token based alert notification which is tokenization algorithm, token matching algorithm and item identification algorithm. …”
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    Thesis
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    Sentiment analysis on food reviews in kuantan, pahang using machine learning by Fatin Farhanah, Abd Rahim

    Published 2023
    “…Customer sentiment analysis is an automated way detecting sentiments in online interactions in order to assess customer opinions about a product, brand or service. …”
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    Undergraduates Project Papers
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    Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

    Published 2013
    “…While the clinical testing of the device is still awaited, various scenarios have been implemented using a custom-built hardware simulator based on empirical modeling of the real EEG signals. …”
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    Book Section
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    Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

    Published 2025
    “…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. …”
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    Thesis