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Computational model
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This research focuses on developing a method to optimize the DCNN (Deep Convolutional Neural Network) classification model for plant diseases. We enriched the data by incorporating data from two public datasets, PlantVillage Dataset (PVD) and CroppedPlant Dataset (CPD), and we trained the model using two-step transfer learning.
6p
vithomson
02-07-2024
0
0
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Part 2 book "Matrix algebra - Theory, computations and applications in statistics" included contents: Special matrices and operations useful in modeling and data analysis; selected applications in statistics; numerical methods; numerical linear algebra; software for numerical linear algebra.
316p
dianmotminh04
12-07-2024
2
0
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Part 1 of ebook "3ds max modeling for games: Insider’s guide to game character, vehicle, and environment modeling" provides readers with contents including: Chapter 1 - Low-poly asset 1 (Cardboard box); Chapter 2 - Low-poly asset 2 (Oil drum); Chapter 3 - Creating texture maps from photographs; Chapter 4 - Normal mapping; Chapter 5 - Creating complex objects from primitives; Chapter 6 - Low-poly vehicle;...
175p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "3ds max modeling for games: Insider’s guide to game character, vehicle, and environment modeling" provides readers with contents including: Chapter 7 - High and low poly characters; Chapter 8 - Mid-poly environment; Chapter 9 - Portfolio and interview;...
162p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Fundamentals of computer graphics (Fourth edition)" provides readers with contents including: Chapter 14 - Sampling; Chapter 15 - Curves; Chapter 16 - Computer animation; Chapter 17 - Using graphics hardware; Chapter 18 - Light; Chapter 19 - Color; Chapter 20 - Visual perception; Chapter 21 - Tone reproduction; Chapter 22 - Implicit modeling; Chapter 23 - Global illumination; Chapter 24 - Reflection models; Chapter 25 - Computer graphics in games; Chapter 26 - Visualization;...
386p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "Modelling computing systems: Mathematics for computer science" provides readers with contents including: mathematics for computer science; propositional logic; sets; boolean algebras and circuits; predicate logic; proof strategies; functions; relations; inductive and recursive definitions; proofs by induction; games and strategies;...
287p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Modelling computing systems: Mathematics for computer science" provides readers with contents including: modelling computing systems; modelling processes; distinguishing between processes; logical properties of processes; concurrent processes; temporal properties;...
220p
daonhiennhien
03-07-2024
3
1
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To investigate the value of differential diagnosis of hepatocellular carcinoma (HCC) and non-hepatocellular carcinoma (non-HCC) based on CT and MR multiphase radiomics combined with different machine learning models and compare the diagnostic efficacy between different radiomics models.
12p
vishanshan
27-06-2024
4
1
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The presence of heterogeneity is a significant attribute within the context of ovarian cancer. This study aimed to assess the predictive accuracy of models utilizing quantitative 18F-FDG PET/CT derived inter-tumor heterogeneity metrics in determining progression-free survival (PFS) and overall survival (OS) in patients diagnosed with high-grade serous ovarian cancer (HGSOC).
13p
vishanshan
27-06-2024
2
1
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Chemoradiotherapy is a critical treatment for patients with locally advanced and unresectable nonsmall cell lung cancer (NSCLC), and it is essential to identify high-risk patients as early as possible owing to the high incidence of radiation pneumonitis (RP). This study aimed to investigate the value of computed tomography (CT)-based radiomics combined with genomics in analyzing the risk of grade≥2 RP in unresectable stage III NSCLC.
10p
vishanshan
27-06-2024
1
1
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Several studies have proved that Polygenic Risk Score (PRS) is a potential candidate for realizing precision screening. The effectiveness of low-dose computed tomography (LDCT) screening for lung cancer has been proved to reduce lung cancer specific and overall mortality, but the cost-effectiveness of diverse screening strategies remained unclear.
12p
vishanshan
27-06-2024
1
1
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Part 2 of ebook "IUTAM symposium on mesoscopic dynamics of fracture process and materials strength" provides readers with contents including: multiscale modeling of defect nucleation and reaction bulk to nanostructures; discrete-continuum modeling of metal matrix composites plasticity; computational evaluation of micro- to macroscopic deformation behavior of amorphous polymer with slightly heterogeneous distribution of initial shear strength; critical behavior near the crack/dislocation depinning threshold;...
221p
mothoiphong
28-06-2024
1
1
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Intensive Care Unit (ICU) capacity management is essential to provide high-quality healthcare for critically ill patients. Yet, consensus on the most favorable ICU design is lacking, especially whether ICUs should deliver dedicated or non-dedicated care. The decision for dedicated or non-dedicated ICU design considers a trade-off in the degree of specialization for individual patient care and efficient use of resources for society.
9p
vishanshan
27-06-2024
1
1
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Part 1 of ebook "Statistics and analysis of shapes" provides readers with contents including: medial axis computation and evolution; shape variation of medial axis representations via principal geodesic analysis on symmetric spaces; 2D shape modeling using skeletal graphs in a morse theoretic framework; matching with shape contexts;...
175p
mothoiphong
28-06-2024
2
1
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Part 2 of ebook "Statistics and analysis of shapes" provides readers with contents including: on the representation of shapes using implicit functions; computing with point cloud data; determining intrinsic dimension and entropy of high-dimensional shape spaces; object-image metrics for generalized weak perspective projection; wulff shapes at zero temperature for some models used in image processing;...
222p
mothoiphong
28-06-2024
1
1
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Part 2 of ebook "Value chain marketing: A marketing strategy to overcome immediate customer innovation resistance" provides readers with contents including: Part IV - Computational modeling; Part V - Integrating findings; Appendix A – Details, pilot study; Appendix B – Details, case study; Appendix C – Details, agent-based simulation study;...
125p
giangmacvien
22-06-2024
3
1
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Although radical surgical resection is the most effective treatment for hepatocellular carcinoma (HCC), the high rate of postoperative recurrence remains a major challenge, especially in patients with alpha-fetoprotein (AFP)-negative HCC who lack effective biomarkers for postoperative recurrence surveillance. In this study, we propose to develop a radiomics model based on preoperative CECT to predict the risk of early recurrence after surgery in AFP-negative HCC.
12p
vikoch
27-06-2024
1
1
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The risk category of gastric gastrointestinal stromal tumors (GISTs) are closely related to the surgical method, the scope of resection, and the need for preoperative chemotherapy. We aimed to develop and validate convolutional neural network (CNN) models based on preoperative venous-phase CT images to predict the risk category of gastric GISTs.
10p
vikoch
27-06-2024
2
1
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This present study aimed to develop and validate radiomics models based on pretreatment 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)- computed tomography (CT) images to accurately predict the prognosis in patients.
14p
vikoch
27-06-2024
1
1
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We aimed to identify preoperative predictors of aggressive pathology for cT1 solid renal cell carcinoma (RCC) by combining clinical features with qualitative and quantitative CT parameters, and developed a nomogram model.
13p
vikoch
27-06-2024
2
1
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