Automatic identification

Accurate identification of extrahepatic cholangiocarcinoma (ECC) from an image is challenging because of the small size and complex background structure. Therefore, considering the limitation of manual delineation, it’s necessary to develop automated identification and segmentation methods for ECC. The aim of this study was to develop a deep learning approach for automatic identification and segmentation of ECC using MRI.

11p vialfrednobel 23-12-2023 3 3   Download

This paper presents the method of determining the feature parameters and then using the Convolution Neural Network (CNN), Long-Short Term Memory networks (LSTM), and Convolutional Recurrent Neural Network (CRNN) to classify and identify some Vietnamese folk tunes as Quanho and Cheo.sing deep neural networks

21p vimulcahy 18-09-2023 7 3   Download

Electronic trigger detection tools hold promise to reduce Adverse drug event (ADEs) through efficiencies of scale and real-time reporting. We hypothesized that such a tool could automatically detect medication dosing errors as well as manage and evaluate dosing rule modifications.

8p visteverogers 24-06-2023 5 2   Download

This paper introduces a control system synthesis method for linear MIMO systems with variable parameters and the impact of unmeasured external disturbances, which is very common in industrial fields. For practical applications, optimal control methods are often used for the system to achieve the desired quality parameters.

8p viironman 02-06-2023 8 3   Download

Environmental radiation monitoring stations using the NaI(Tl) scintillation detector have higher sensitivity and provide more accurate radiation dose values than using Geiger-Muller counters. However, when the temperature of the environment changes, the measuring data changes (due to the temperature dependence on the NaI(Tl) light yield and the quantum efficiency of the PMT).

10p vicedric 08-02-2023 5 3   Download

This paper describes our new proposed method for automatically identifying the text of vehicle number plate. From a new image, the method automatically extracts plate, classifies and recognizes characters (digits).

5p vijaguar 16-11-2022 10 1   Download

Single-cell transcriptomics is rapidly advancing our understanding of the cellular composition of complex tissues and organisms. A major limitation in most analysis pipelines is the reliance on manual annotations to determine cell identities, which are time-consuming and irreproducible

19p vielonmusk 30-01-2022 14 0   Download

The increase in available sequence data has advanced the field of microbiology; however, making sense of these data without bioinformatics skills is still problematic. We describe MICRA, an automatic pipeline, available as a web interface, for microbial identification and characterization through reads analysis.

14p vialfrednobel 29-01-2022 11 0   Download

In this study, the authors proposed the mapping, covering strategies, and control algorithms for vacuum cleaner robot. The robot will automatically implement the cleaning task in a single pass. The sensor system includes infrared sensor, 9 Dof MPU 9250, Delta Lidar 2A, ultrasonic sensor to help robots navigate, build maps and detect obstacles. ROS system (Robot Operating System) is used to control and simulate vacuuming operation in real-world environments. The experiments are conducted in order to illustrate the superiority of the proposed approach.

9p spiritedaway36 28-11-2021 13 3   Download

Automatic Lane Detection is a prerequisite in the development of self-driving cars - a new trend that will surely prevail in the near future. Lane identification has two levels including determining purely by image processing (1) and determining by machine learning (2). Processing with machine learning will produce more accurate results under a variety of environmental conditions than simply processing images.

9p huyetthienthan 23-11-2021 11 2   Download

The paper will present an overview of the classification of music genres that have been performed in Vietnam and abroad. For two types of very popular folk songs of Vietnam such as Cheo and Quanho, the paper describes the dataset and Gaussian Mixture Model (GMM) to perform the experiments on identifying some of these folk songs. The GMM used for experiment with 4 sets of parameters containing Mel Frequency Cepstral Coefficients (MFCC), energy, the first and the second derivatives of MFCC and energy, tempo, intensity, and fundamental frequency.

21p nguaconbaynhay11 07-04-2021 8 1   Download

In this paper, to diagnosis the disease in cotton a research was carried out to automatically identify the cotton plant disease using Convolutional Neural Networks. Dataset with around 13,372 images for three diseases such as Bacterial Blight, Anthracnose, and Leafhopper are collected from cotton field. Convolutional Neural Networks is used to for both recognition and classification of three cotton disease images captured from farmer’s field.

6p trinhthamhodang9 16-12-2020 10 1   Download

Digital plant images are becoming increasingly important. First, given a large number of images deep learning algorithms can be trained to automatically identify plants. Second, structured image-based observations provide information about plant morphological characteristics. Finally in the course of digitalization, digital plant collections receive more and more interest in schools and universities.

11p viwyoming2711 16-12-2020 14 0   Download

Estimating the phylogenetic position of bacterial and archaeal organisms by genetic sequence comparisons is considered as the gold-standard in taxonomy. This is also a way to identify the species of origin of the sequence.

12p vikentucky2711 24-11-2020 7 1   Download

Entity coreference is common in biomedical literature and it can affect text understanding systems that rely on accurate identification of named entities, such as relation extraction and automatic summarization.

16p vioklahoma2711 19-11-2020 11 1   Download

Development of automatable processes for clustering proteins into functionally relevant groups is a critical hurdle as an increasing number of sequences are deposited into databases. Experimental function determination is exceptionally time-consuming and can’t keep pace with the identification of protein sequences.

13p vioklahoma2711 19-11-2020 19 1   Download

In this paper, we focus on a fully automatic person ReID system which contains only three first steps of the full video analysis system that are person detection, tracking and re-identification. The purpose of human detection is to create a bounding box contain an object in a given image while tracking methods aim at connecting the detected bounding boxes of the same person. Finally, person ReID is to associate multiple images of the same person in different camera views.

13p kequaidan8 02-11-2020 15 2   Download

Single cell RNA sequencing (scRNA-seq) brings unprecedented opportunities for mapping the heterogeneity of complex cellular environments such as bone marrow, and provides insight into many cellular processes.

16p vijisoo2711 27-10-2020 12 0   Download

Expression in H-sapiens plays a remarkable role when it comes to social communication. The identification of this expression by human beings is relatively easy and accurate. However, achieving the same result in 3D by machine remains a challenge in computer vision.

15p vicolorado2711 23-10-2020 18 1   Download

It has obtained great results in theory as well as practical applications. However, the accuracy of identification is still limited, especially in the case of low-quality input images. In this article, we propose an efficient method to recognize information fields for identification in ID card using Convolutional Neural Network (CNN) and Long Short-Term Memory networks (LSTM).

7p tamynhan6 14-09-2020 15 2   Download