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Transfer learning
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Nghiên cứu này có một số đóng góp chính như sau: Xây dựng phương pháp phân tích tình cảm trên hình ảnh bằng cách xây dựng mô hình kết hợp dựa trên các thuật toán học sâu nhằm giải quyết vấn đề về việc trích xuất chưa tốt các đặc trưng ở các hình ảnh có chất lượng thấp của các mô hình đơn lẻ; Đánh giá kết quả của phương pháp đề xuất bằng cách thực nghiệm nó trên bộ dữ liệu hình ảnh khuôn mặt chuẩn được sử dụng rộng rãi.
10p
viwalton
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
0
0
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Access to culturally safe and responsive services can be improved by engaging Aboriginal and Torres Strait Islander Health Workers and similar roles in an online community of practice, supporting the integration of cultural and clinical knowledge and self-determination of Aboriginal and Torres Strait Islander consumers in decisions affecting their health.
13p
vishanshan
27-06-2024
2
1
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This paper presents an RTL (Register Transfer Logic) level microarchitecture of hardware-and bandwidth-efficient high-performance 2D convolution unit for CNN in deep learning. The 2D convolution unit is made up of three main components including a dedicated Loader, a Circle Buffer, and a MAC (Multiplier-Accumulator) unit.
13p
viambani
18-06-2024
2
1
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Continual learning (CL) aims to learn a sequence of tasks, with task datasets emerging incrementally over time, and without a predetermined number of tasks. CL models strive to achieve two primary objectives: preventing catastrophic forgetting and facilitating knowledge transfer between tasks. Catastrophic forgetting refers to the sharp decline in the performance of CL models on previously learned tasks as new ones are learned.
11p
viambani
18-06-2024
2
1
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Nghiên cứu này nhằm thử nghiệm, đánh giá khả năng ứng dụng trí tuệ nhân tạo (artifi cial intelligence – AI) trong tự động hóa chẩn đoán bệnh trên tôm sú (Penaeus monodon). Kết quả thực nghiệm trên 4 mẫu bệnh: đen mang, đốm đen, đốm trắng và hoại tử cơ cho thấy hệ thống chẩn đoán hình ảnh đạt độ chính xác cao nhất 87,58% với mô hình mạng neural tích chập (convolutional neural network - CNN) Effi cientNet-B4 có áp dụng kỹ thuật học chuyển giao (transfer learning).
7p
viamancio
29-05-2024
7
5
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Ebook "Growing brands through sponsorship: An empirical investigation of brand image transfer in a sponsorship alliance" infers from congruity theory and associative learning theory to propose and test a research model that accounts for a sponsor to also gain from brand attitude and personality traits innately tied to a co-sponsor. Results provide evidence for direct image transfer between two sponsor brands. Specifically, the attitude toward one brand was found to imbue a second brand it is paired with through a common sponsorship engagement.
370p
giangdongdinh
30-05-2024
4
2
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The paper is organized as follows: Section 2 provides the preliminaries, which include the fundamental definitions of the M-CFIS model, CFTL, and tree. Section 3 investigates the novel CFRG-based complex fuzzy transfer learning. Section 4 evaluates the proposed RTrieCFTL by running it on both real-life and benchmark data sets. To conclude, the last part must outline this research’s future work.
14p
dianmotminh02
03-05-2024
3
2
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More important findings to be reported is that the spillover effects of FDI appear to be quickly assimilated by workers in the Malaysian manufacturing industries through the "learning effect" as opposed to “technology effect” and that the fast pace is biased towards higher labour productivity. Findings from this study can help the FDI attraction policy to be carried out not only to increase Malaysian labour productivity, but most importantly to ensure the function of FDI transfer of knowledge to labour takes place, which must be based on Key Performance Indicators (KPIs).
7p
longtimenosee10
26-04-2024
3
1
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The purpose of the study was to examine correlations between perceived teacher innovation (PTI) and self-regulated learning (SRL), where learning motivation, self-efficacy, and learning transfer help illustrate the interplay between and among influencing variables in the teacher-student relationship.
11p
viarnault
25-04-2024
3
1
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In higher education, it is essential that students apply what they have learned to solve problems in their community. Meaningful learning is the main means to increase the accumulation of knowledge and achieve the transfer of learning, which is why the present study aimed to: design and evaluate the psychometric properties of a scale that measures the application of learning strategies that promote meaningful learning.
13p
viarnault
25-04-2024
2
1
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The paper aims to learn about renewable energy in the structure of the electricity industry in the world and in Vietnam. The transfer of structure in recent years and the position of renewable energy in the revised power master plan VII and orientation in the power master plan VIII will be submitted to the Government.
6p
viohoyo
25-04-2024
4
2
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This article presented the analysis and description of language transfer in English writing products of 80 first year students at Vietnam Forestry University. Language transfer is described in terms of lexis, syntax, and discourse which are selected from 3 types of writing: letter, description and narrative.
10p
vioraclene
01-04-2024
2
0
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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.
8p
vilarry
01-04-2024
3
0
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Tumor response to therapy is affected by both the cell types and the cell states present in the tumor microenvironment. This is true for many cancer treatments, including immune checkpoint inhibitors (ICIs). While it is well-established that ICIs promote T cell activation, their broader impact on other intratumoral immune cells is unclear; this information is needed to identify new mechanisms of action and improve ICI efficacy.
22p
vibransone
28-03-2024
2
1
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We propose DEGAS (Diagnostic Evidence GAuge of Single cells), a novel deep transfer learning framework, to transfer disease information from patients to cells. We call such transferrable information “impressions,” which allow individual cells to be associated with disease attributes like diagnosis, prognosis, and response to therapy.
23p
viellison
28-03-2024
3
2
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T-cells play a crucial role in the adaptive immune system by triggering responses against cancer cells and pathogens, while maintaining tolerance against self-antigens, which has sparked interest in the development of various T-cell-focused immunotherapies.
24p
vicwell
29-02-2024
2
1
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This study introduces an approach to detect deepfake images using transfer learning methods, including XceptionNet, RestNet101, InceptionResV2, MobileNetv2, VGG19 and DenseNet121, along with comparing it with a traditional CNN model.
8p
vigrab
02-02-2024
5
3
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Ebook "Knowledge and technology transfer for plant pathology" contains fuller versions of the papers and posters presented in the Knowledge and Technology Transfer and Teaching Plant Pathology sessions at the 9th International Congress of Plant Pathology held in Turin, Italy in 2008. Communication is an essential area for plant pathologists and it is not just the publication of results in the scientific press that is important.
132p
tachieuhoa
28-01-2024
6
2
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In recent years, alpine skiing, as one of the important sports of winter sports, its training methods have attracted widespread attention to improve physical and skill quality. Some people have proposed to combine cross-country skiing with cross-country skating to carry out this project sport to promote the development of ice and snow sports.
8p
vinikolatesla
28-12-2023
4
3
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