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Enhance machine learning
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In this study, we propose the application of CycleGAN to generate T2 pulse sequence MRI images of the human brain from T2 Flair pulse sequence images of the same type and vice versa, thereby increasing the number of MRI images of various types.
8p
vithomson
02-07-2024
0
0
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In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.
8p
viwalton
02-07-2024
3
1
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Preoperative prediction of International Federation of Gynecology and Obstetrics (FIGO) stage in patients with epithelial ovarian cancer (EOC) is crucial for determining appropriate treatment strategy. This study aimed to explore the value of contrast-enhanced CT (CECT) radiomics in predicting preoperative FIGO staging of EOC, and to validate the stability of the model through an independent external dataset.
11p
vikoch
27-06-2024
1
1
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The book contains a dozen projects you can use right off the disk with minimal setup needed. Each project has step-by-step instructions on installing the source code to your local machine. The goal of the chapter and accompanying project code is to enable you to understand and quickly modify the project to enhance its capabilities or to learn how to implement some of the features it uses within different situations.
543p
longtimenosee08
31-03-2024
2
1
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In this paper, we introduce a novel approach to enhance the capabilities of the humanoid robot IVastBot by in- tegrating various software components. This integration enables IVastBot to effectively recognize and respond to a wide array of human gestures and behaviors.
12p
vimichaelfaraday
28-12-2023
10
6
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Continued part 1, part 2 of ebook "Graph algorithms: Practical examples in Apache Spark and Neo4j" provides readers with contents including: chapter 6 - community detection algorithms; chapter 7 - graph algorithms in practice; chapter 8 - using graph algorithms to enhance machine learning;...
131p
tieulangtran
28-09-2023
6
2
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This paper proposes two hybrid ensemble machine learning approaches that integrate random subspace ensemble with bagging and boosting to enhance classification performance with high-dimensional data. Experimental results demonstrate that these methods significantly improve classification accuracy with highdimensional data.
14p
viengels
25-08-2023
6
4
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Stress is a problem that affects both physical and mental health, causing negative emotional states. Stress can impair the driver’s ability to perceive and handle situations in driving safety. Therefore, the detection and assessment of stress levels play an important role in improving comfort, well-being, and enhancing the driving experience for drivers.
8p
viwmotors
02-12-2022
28
4
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Abattoir data are under-used for surveillance. Nationwide surveillance could benefit from using data on meat inspection findings, but several limitations need to be overcome. At the producer level, interpretation of meat inspection findings is a notable opportunity for surveillance with relevance to animal health and welfare.
13p
vidarwin
23-02-2022
12
1
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Transcriptional enhancers regulate spatio-temporal gene expression. While genomic assays can identify putative enhancers en masse, assigning target genes is a complex challenge. We devised a machine learning approach, McEnhancer, which links target genes to putative enhancers via a semi-supervised learning algorithm that predicts gene expression patterns based on enriched sequence features.
21p
vialfrednobel
29-01-2022
12
0
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Many genome-wide collections of candidate cis-regulatory elements (cCREs) have been defined using genomic and epigenomic data, but it remains a major challenge to connect these elements to their target genes.
16p
viarchimedes
26-01-2022
10
1
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Single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) is the state-of-the-art technology for analyzing genome-wide regulatory landscapes in single cells. Single-cell ATAC-seq data are sparse and noisy, and analyzing such data is challenging.
36p
viarchimedes
26-01-2022
8
0
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This paper, based on secondary research, discusses about mask detection enhancing identification quality on masked faces from current face recognition technologies, describes which dataset, library, methodlogy, algorithm used to develop project. All in all, the paper draws the conclusion that the purpose of this application is for the health of the community, contributing to the difficult situation of the world today, to repel the epidemic quickly.
7p
huyetthienthan
23-11-2021
13
2
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In this paper, to cope with the problems of object detection in rain weather conditions while driving, we propose RD, a new dataset to promote the research and enhance the performance of stateof-the-art object detectors.
5p
chauchaungayxua11
23-03-2021
13
2
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This paper describes (the development of) an eHealth tool (dr. Bart app) to enhance self-management and to optimize non-surgical health care utilization in patients with knee and/or hip osteoarthritis (OA) and presents a study aiming 1) to study the effectiveness of the dr. Bart app on health care use 2) to explore differences in use, usability and the clinical outcomes of the dr. Bart app between the Netherlands and Germany.
12p
vivermont2711
28-01-2021
14
3
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The Hedgehog (Hh) signaling pathway, acting through three homologous transcription factors (GLI1, GLI2, GLI3) in vertebrates, plays multiple roles in embryonic organ development and adult tissue homeostasis. At the level of the genome, GLI factors bind to specific motifs in enhancers, some of which are hundreds of kilobases removed from the gene promoter.
11p
viwyoming2711
16-12-2020
13
1
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With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines.
12p
viconnecticut2711
29-10-2020
13
1
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Action and gesture recognition provides important information for interaction between human and devices that monitors living, healthcare facilities or entertainment activities in smart homes. Recent years, there are many learning machine models studying to recognize human action and gesture. In this paper, we propose a dynamic hand gesture recognition system based on two stream-convolution network (ConvNet) architecture. Besides, we also modify the method to enhance its performance that is suitable for indoor application.
10p
nguyenxuankha_bevandan
14-08-2020
22
3
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The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system.
12p
tohitohi
22-05-2020
26
1
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When computer virus wide spreads in the world nowadays, anti-virus needs to improve their identifying methods to enhance the performance. In this paper, we introduce a new method to diagnose computer virus. First, we analyse the characteristics of viral data type to define virus classes through object-oriented methods. Second, we study the machine learnning mechanism for each virus class. Finally, we apply these learning forms to a data processing stage of a machine learning anti-virus expert system.
10p
binhminhmuatrenngondoithonggio
09-06-2017
61
4
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