Results 31 to 40 of about 45,107 (150)
Klasifikasi Helpdesk Menggunakan Metode K-Nearest Neighbor dan TF-ABS
Techno.Com, 2021 Helpdesk merupakan aplikasi yang bermanfaat bagi pengguna nya untuk memperoleh informasi mengenai layanan yang ada pada sebuah perusahaan atau instansi pemerintah. Proses disposisi tiket helpdesk secara manual dapat menimbulkan kesalahan dalam menentukan
Muhammad Azis Suprayogi +1 more
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Optical Character Recognition for Quranic Image Similarity Matching
IEEE Access, 2018 The detection and recognition and then conversion of the characters in an image into a text are called optical character recognition (OCR). A distinctive-type of OCR is used to process Arabic characters, namely, Arabic OCR.
Faiz Alotaibi +5 more
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Quadratic Support Vector Machine and K-Nearest Neighbor Based Robust Sensor Fault Detection and Isolation [PDF]
Engineering and Technology Journal, 2021 Fault detection plays a serious role in high-cost and safety-critical processes. There are two main drivers for continuous improvement in the area of early detection of process faults safety and reliability of technical plants.
Ahmed Abed, Sabah Gitaffa, Abbas Issa
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Aceh International Journal of Science and Technology, 2023 Research has been conducted on detecting tuberculosis (TB) using machine learning. In this study, chest Xray (CXR) image data was used with a pixel value of 512 x 512 and PNG format consisting of normal lung images and TBinfected lung images in a 50:50 ...
Fuad Anwar +2 more
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Online Academic Journal of Information Technology, 2014 Beynin elektriksel aktivitesindeki anormal değişimden kaynaklanan epilepsi hastalığının teşhisinde EEG işaretlerinin analizi ve sınıflandırılması oldukça önemlidir.
Tuğba Palabaş
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A New Method for Face Recognition Using Convolutional Neural Network
Advances in Electrical and Electronic Engineering, 2017 In this paper, the performance of the proposed Convolutional Neural Network (CNN) with three well-known image recognition methods such as Principal Component Analysis (PCA), Local Binary Patterns Histograms (LBPH) and K–Nearest Neighbour (KNN) is tested.
Patrik Kamencay +3 more
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Jurnal Sisfokom, 2023 Diagnosing liver disease in the field of healthcare is not an easy task. However, by utilizing medical records as datasets and applying data mining methods such as K-Nearest Neighbor (K-NN), we can analyze and extract knowledge automatically.
Ihya' Nashirudin Abrar +2 more
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Challenges in KNN Classification [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 The KNN algorithm is one of the most popular data mining algorithms. It has been widely and successfully applied to data analysis applications across a variety of research topics in computer science. This paper illustrates that, despite its success, there remain many challenges in KNN classification, including K computation, nearest neighbor selection,
openaire +1 more source
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
, 2021 Pre-trained models are widely used in fine-tuning downstream tasks with linear classifiers optimized by the cross-entropy loss, which might face robustness and stability problems. These problems can be improved by learning representations that focus on similarities in the same class and contradictions in different classes when making predictions.
Li, Linyang +4 more
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Sistem Rekomendasi Hybrid Menggunakan Metode Switching
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)Perkembangan teknologi memaksa pelaku bisnis untuk memberikan layanan terbaik dengan menjadikan sistem rekomendasi sebagai salah satu solusi untuk menjaga loyalitas konsumen.
Muhammad Rizki, Rianto Rianto
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