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Features extraction

Xem 1-20 trên 320 kết quả Features extraction
  • This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.

    pdf6p vithomson 02-07-2024 0 0   Download

  • In this paper, a miRNA-Disease association prediction model (called TP-MDA) based on tree path global feature extraction and fully connected artificial neural network (FANN) with multi-head self-attention mechanism is proposed.

    pdf18p vikoch 27-06-2024 2 1   Download

  • Anomaly detection for Internet of things (IoT) networks is a challenging issue due to the huge number of devices that connect to each other and generate huge amounts of data. In this study, we propose a model combining Autoencoder (AE) with classification algorithms to build an endto-end architecture for processing, feature extraction and data classification.

    pdf13p viambani 18-06-2024 7 1   Download

  • Part 1 book "Aspen plus® - Chemical engineering applications" includes content: Introducing aspen plus, more on aspen plus flowsheet features, flash separation and distillation columns, reactors with complex (non conventional) reaction kinetic forms, liquid–liquid extraction process, reactors with simple reaction kinetic,... and other contents.

    pdf285p muasambanhan10 11-04-2024 2 1   Download

  • In today's world, smart surveillance plays an important role in protecting security and creating a safe living environment. For abnormal objects in the smart surveillance system, this is an important issue, requiring attention and timely response from managers and supervisors. To address this issue, the paper uses transfer learning techniques on modern object detection models to detect abnormal objects such as guns, knives, etc. in public places.

    pdf8p vilarry 01-04-2024 4 0   Download

  • In this work, an efficient and accurate face recognition system based on edge processing using GPUs was completely developed. A complete pipeline that contains a sequence of processing steps, including pre-processing, face feature extraction, and matching, is proposed.

    pdf8p vibego 02-02-2024 3 0   Download

  • This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer Optical Character Recognition (OCR) task. The proposed solution uses a sequenceto-sequence (Seq2Seq) architecture with an attention mechanism. The encoder extracts visual features from an input text-line image via layers of convolutional blocks and a layer of Gated Recurrent Units (GRU).

    pdf14p vibego 02-02-2024 5 0   Download

  • In this paper, we proposed a new method to predict lncRNA-disease associations using multiple features and deep learning. Our method uses a weighted

    pdf10p visystrom 22-11-2023 6 5   Download

  • The book is divided into ten chapters. We start with some examples and a description of multimedia databases. In addressing multimedia information, we are addressing digital data representations and how these data can be stored and manipulated. Multimedia data provide additional functionality than would be available in traditional forms of data. It allows new data access methods such as query by images in which the most similar image to the presented image is determined.

    pdf322p haojiubujain08 01-11-2023 7 3   Download

  • Ebook "Feature extraction in computer vision and image processing" includes content: Introductionl images, sampling and frequency domain processing; basic image processing operations, low- level feature extraction (including edge detection); feature extraction by shape matching,... and other contents.

    pdf360p haojiubujain07 20-09-2023 9 4   Download

  • Ebook "Introduction to statistical pattern recognition" includes content: Introduction, random vectors and their properties, hypothesis testing, parametric classifiers, parameter estimation, nonparametric density estimation, nonparametric classification and error estimation, feature extraction and linear mapping for signal representation, feature extraction and linear mapping for classification, clustering.

    pdf616p haojiubujain07 20-09-2023 5 3   Download

  • Ebook "Statistical pattern recognition" includes content: Introduction to statistical pattern recognition, density estimation – parametric, density estimation – nonparametric, linear discriminant analysis, nonlinear discriminant analysis – kernel methods, nonlinear discriminant analysis – projection methods, tree-based methods, performance, feature selection and extraction, clustering, additional topics,... and other contents.

    pdf515p haojiubujain07 20-09-2023 3 2   Download

  • We aimed to develop machine learning models for prediction of molecular subgroups (low-risk group and intermediate/high-risk group) and molecular marker (KIAA1549-BRAF fusion) of pediatric low-grade gliomas (PLGGs) based on radiomic features extracted from multiparametric MRI.

    pdf11p vioracle 29-09-2023 7 2   Download

  • This study focus on the image captioning problem in Vietnamese. In detail, an empirical study of grid-based and region-based feature extraction approaches using current state-of-the-art object detection methods is investigated to explore the suitable way to represent the images in the model space.

    pdf20p vimulcahy 18-09-2023 7 4   Download

  • Metal-doped cerium oxide has gained the attention of worldwide researchers due to its facile features and enormous applications in broad fields. Herein, Zn doped cerium oxide nanoparticles of various molar concentrations from 1 to 11 mol% are synthesized by versatile solution combustion synthesis using Tulsi leaf extract as a reducing agent.

    pdf13p viberbers 09-08-2023 3 3   Download

  • In this paper, we propose an artificial neural network (ANN) based method to predict the energy use in campus buildings in short-term time series from one hour up to one week. The proposed method analyzes and extracts the features from the historical data of load and temperature to generate the prediction of future energy consumption in the building based on sparsified K-means. To evaluate the performance of the proposed approach, historical load data in hourly resolution collected from the campus buildings in Chonnam National University were used.

    pdf13p nhanchienthien 25-07-2023 8 4   Download

  • Conversation - the verbal communication between people is indispensable in daily life. However, interlocutors cannot always understand all the utterances during their conversations because of some trouble sources causing communication breakdown. Repairing the trouble sources is neccessary for the interlocutors to get an effective conversation. With the aim of discovering the main grammatical structures and their parts of speech of other-repair in English, data for the investigation is 262 extracts of 23 English film conversations containing other-repair.

    pdf14p nhanchienthien 25-07-2023 6 3   Download

  • This paper proposes a framework for deploying a voice search engine that uses Whisper, a deep learning-based automatic speech recognition model, and combines TF-IDF, N-gram, and Truncated SVD as feature extraction approaches to search for text ground truth in a dictionary of military symbols using Cosine similarity.

    pdf10p viwarmachine 01-07-2023 9 4   Download

  • This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of electronic medical record phenotyping without compromising its accuracy.

    pdf7p visteverogers 24-06-2023 7 2   Download

  • This paper proposes a Multilayer Feed forward Neural Network (MLFNN) for speech classification in a smart electric wheelchair, in which with extraction of speech commands is performed using a Mel Frequency Cepstral Coefficients (MMFC) method.

    pdf7p vidoctorstrange 06-05-2023 7 4   Download

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