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Predictive methods
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This study seeks to introduce a more comprehensive assessment method than previous endeavors, particularly concerning the bond strength of FRP bars with various surface types within concrete, spanning normal, high-strength, and ultra-high-strength concrete.
16p
vithomson
02-07-2024
0
0
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This study focuses on developing the predicted models of materials removal rate and tool wear rate by utilizing the response surface method (RSM) for the machining of SKD61 steel by EDM process with adding tungsten compound powder.
14p
vithomson
02-07-2024
0
0
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In recent years, the prediction of the effective transport properties have received a great number of investigations. The present work is dedicated to determining the effective permeability of two-dimensional (2D) doubly porous materials made of an isotropic permeable solid matrix in which elliptical shaped pores of any size are embedded. At the interface between the fluid and the solid, the Beaver–Joseph–Saffman conditions are applied.
10p
vithomson
02-07-2024
0
0
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Part 1 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Overview of supervised learning; Chapter 3 - Linear methods for regression; Chapter 4 - Linear methods for classification; Chapter 5 - Basis expansions and regularization; Chapter 6 - Kernel smoothing methods; Chapter 7 - Model assessment and selection; Chapter 8 - Model inference and averaging; Chapter 9 - Additive models, trees, and related methods;...
355p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 10 - Boosting and additive trees; Chapter 11 - Neural networks; Chapter 12 - Support vector machines and flexible discriminants; Chapter 13 - Prototype methods and nearest-neighbors; Chapter 14 - Unsupervised learning; Chapter 15 - Random forests; Chapter 16 - Ensemble learning; Chapter 17 - Undirected graphical models; Chapter 18 - High-dimensional problems p ≫ N;...
409p
daonhiennhien
03-07-2024
4
1
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In recent times, the phase field method is a robust simulation tool that can predict crack formation and propagation in structures. In brittle and quasi-brittle materials, the strain tensor is decomposed into negative and positive parts corresponding to the compression and tension behaviors when the structure is loaded.
14p
viwalton
02-07-2024
1
1
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Paclitaxel is commonly used as a second-line therapy for advanced gastric cancer (AGC). The decision to proceed with second-line chemotherapy and select an appropriate regimen is critical for vulnerable patients with AGC progressing after first-line chemotherapy.
9p
vishanshan
27-06-2024
2
1
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Screening is an effective method for preventing cervical cancer. The present study aimed to determine the predictability of cervical cancer screening using the information-motivation-behavioral skills (IMB) model, as this model can help understand the factors that influence health-related behaviors.
8p
vishanshan
27-06-2024
2
1
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Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) to build an independent polysomnography (PSG) model to analyze risk factors and predict OSAHS.
11p
vishanshan
27-06-2024
1
1
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To evaluate factors predicting the potential occurrence of procedurerelated complications in patients undergoing computed tomography-guided lung biopsy. Subject and method: retrospective description. 83 patients had undergone computed tomography-guided lung biopsy in The Thoracic and Thyroid Surgery Department, Binh Dan Hospital from 2021 to 2022.
6p
vikoch
27-06-2024
2
1
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Papillary thyroid carcinoma (PTC) is the most frequent histological type of thyroid carcinoma. Although an increasing number of diagnostic methods have recently been developed, the diagnosis of a few nodules is still unsatisfactory. Therefore, the present study aimed to develop and validate a comprehensive prediction model to optimize the diagnosis of PTC.
11p
vikoch
27-06-2024
1
1
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Primary prostate cancer with metastasis has a poor prognosis, so assessing its risk of metastasis is essential. Methods This study combined comprehensive ultrasound features with tissue proteomic analysis to obtain biomarkers and practical diagnostic image features that signify prostate cancer metastasis.
13p
vikoch
27-06-2024
2
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 study used the straight-type air blade, which is more common than the elbow-type, to evaluate the effect of blade angle on air uniformity in small industrial drying equipment. CFD method is used to predict the air distribution in the chamber, which has a strong influence on the drying rate efficiency and the product quality.
5p
viambani
18-06-2024
1
0
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In this study, we employ MaxEnt, a widely used species distribution modeling method, to predict climatically suitable habitat for P. nemaeus at present, and then project the optimal model using a range of future climate change scenarios to understand the possible shifts in response to climate change over the entire range of the Red-shanked Douc.
10p
viambani
18-06-2024
1
1
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Ebook Hybrid systems, optimal control and hybrid vehicles - Theory, methods and applications: Part 2
Part 2 book "Hybrid systems, optimal control and hybrid vehicles - Theory, methods and applications" includes content: Direct methods for optimal control, practical implementation aspects of large scale optimal control solvers, modeling hybrid vehicles as switched systems, advanced vehicle calibration, predictive real time energy management, optimal design of hybrid powertrain configurations, graph theoretical fundamentals for sparse matrices.
292p
dianmotminh03
11-06-2024
1
1
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Part 2 of ebook "Reinforced concrete deep beams" provides readers with contents including: Chapter 6 - Deep beams under top and bottom loading; Chapter 7 - Shear strength prediction-softened truss model; Chapter 8 - Shear strength prediction — plastic method; Chapter 9 - Finite element analysis; Chapter 10 - Stability and strength of slender concrete deep beams;...
147p
giangdongdinh
28-05-2024
2
2
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Ebook Business statistics with Exceland Tableau: A hands-on guide with screencasts and data includes content: Chapter 2: visualization and tableau: telling (true) stories with data, chapter 3: writing up your findings, chapter 4: data and how to get it, chapter 5: testing whether quantities are the same, chapter 6: regression: predicting with continuous variables, chapter 7: checking your regression model, chapter 8: time series introduction and smoothing methods, chapter 9: time series regression methods, chapter 10: optimization, chapter 11: morecomplex optimization, chapter 12: predictin...
247p
zizaybay1103
29-05-2024
4
1
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Ebook "Energy conservation in the design of multi-storey buildings" contains 13 papers organized into two parts. Part I deals with predictive methods. It includes papers that describe the design of Australian projects where energy was a major issue; examine energy conservative building design from the standpoints of New York and Singapore; present a design tool for estimating energy consumption and costs; and consider limitations in the application of computers to the design of the air conditioning plant. Part II is devoted to energy management.
246p
dongmelo
26-05-2024
3
3
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Ebook "Protein acetylation: Methods and protocols" expert researchers in the field detail many of the methods which are now commonly used to study protein acetylation. These include methods and techniques for identification of protein acetylation, column- and gel electrophoresis-based approaches, computationally prediction, and the biological response to protein acetylation.
279p
dongmelo
27-05-2024
2
2
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