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Multi-classifier for Reinforced Concrete Bridge Defects

 — Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same ...

MULTI CLASS CLASSIFIER FOR CROP YIELD PREDICTION …

Class Classifier for "crop yield prediction Based on Nutrient Feature of The Soil" ... soybean yield using high-resolution remote sensing data. Journal of Geophysical Research: io geosciences, í î(), e î ì îJG ñ ò ð. í ï. Li, Y., Zhang, X., Liu, F., & Li, Q. (). Prediction of rice yield using machine learning algorithms based

Influence of Concrete Strength and Transverse Reinforcement Yield …

 — The American Concrete Institute. Founded in 1904 and headquartered in Farmington Hills, Michigan, USA, the American Concrete Institute is a leading authority and resource worldwide for the development, dissemination, and adoption of its consensus-based standards, technical resources, educational programs, and proven expertise for …

Best high-yield savings accounts of September 2024

Best high-yield savings accounts for September 2024. Note: Annual percentage yields (APYs) shown were updated between Sept. 21 and Sept. 27. All other information is current as of Sept. 18.

6 Top-Performing High-Yield Bond Funds

 — Then in 2023, high-yield bond funds on average gained 12.1%, while the Core Bond Index rose 5.3%. Over the last 12 months, funds invested in these lower-quality bonds have returned 8.8% on average ...

Mechanical Centrifugal Air Classifiers

 — The performance of mechanical centrifugal air classifiers can be evaluated by analyzing the cutpoint, tolerance, yield and efficiency. Cutpoint is simply the desired …

Gamma

I'm not a slide deck artist - Gamma makes it super easy for me to convert my documents into engaging presentations for company all hands, and takes me 10x less time than fiddling about with pixels on slides. Such a time saver.

Confusion Matrix

 — Obtain predictions and predicted probabilities from your model for the test set. Most classifiers provide a probability score indicating the confidence of the prediction. A binary classifier typically outputs …

Concrete Finishing

CURE AND SEAL THE CONCRETE. Once you're done with finishing, let the concrete dry and achieve full strength, this is called curing.You can use your concrete for light foot traffic 3 to 4 days after placement, and you can drive and park on your concrete after 5 to 7 days, but curing isn't complete until the 28 day mark.

Best High-Yield Savings Accounts of September 2024

 — Explore the best high-yield savings accounts for October 2024 to maximize your savings with higher interest rates than regular savings accounts.

Development of a novel ultra-high performance concrete …

 — Therefore, it is necessary to develop a new cementitious material system with good anti-dispersion, high strength, and better durability for the rapid underwater repair of concrete structures. Ultra-high performance concrete (UHPC) is a revolutionary new type of cement-based composite material with a low water-binder ratio (0.14–0.22) and ...

MINI MAX! |

The top classifier hopper is equipped with a new flood header that provides smooth clean water flow through the trough. The hopper sluice lifts off easily to inspect lower sluice. Water flows out of the flood header …

Multi-classifier for reinforced concrete bridge defects

 — dacl10k is an exceptionally diverse RCD dataset for multi-label semantic segmentation comprising 9,920 images deriving from real-world bridge inspections and distinguishes 12 damage classes as well as 6 bridge components that play a key role in the building assessment and recommending actions, such as restoration works, traffic load …

Smooth Operator

 — GSITools also gives an indication of the total concrete yield for the subgrade that was profiled. The GSI non-contact surface smoothness instrument also provides multi-application usage.

Classification and quantification of cracks in concrete …

 — Results indicate that using the Keras classifier combined with Otsu image processing can achieve superior classification accuracy of 97.63%, 96.5%, and 96.17% …

Deep learning classifier for life cycle optimization of …

 — A comprehensive comparison reveals economic feasibility, environmental ramifications, and social life cycle assessments, with an augmented steel yield strength …

Argentine fintech Uala to offer high-yield accounts in Mexico

 — Launching the account at an event in Mexico, Uala said the high-yield account will have a fixed annual interest rate and would pay an annual percentage yield of 9%.

Studies on Rheological Properties of High-Flowable Concrete

Self-compacting concrete (SCC) has considerably lower yield stress as compared to the conventional vibrated concrete (CVC) in their fresh condition and this forms one of their primary differences. ... Static and dynamic yield stress are dependent on the flow operation. Concrete must experience shear stress when it is "at rest" in order for ...

Cryptocurrency Prices, Charts And Market Capitalizations | CoinMarketCap

In January 2024 the SEC approved 11 exchange traded funds to invest in Bitcoin. There were already a number of Bitcoin ETFs available in other countries, but this change allowed them to be available to retail investors in the United States. This opens the way for a much wider range of investors to be able to add some exposure to cryptocurrency in their …

HIGH EFFICIENCY CLASSIFICATION

Introduction. Particle size separation or classification can be one of the more challenging unit operations in particle technology. With average particle size distributions greater …

Mastering the Dragon Fruit Orchard Management: A Month …

 — For export purposes, harvest them within one day of color change. You can expect a production yield of 5 to 6 tonnes per acre. In case you missed it: Optimizing Papaya Orchard Management: A Month-by-Month Operations Guide for Maximum Yield. January Month Dragon Fruit Orchard Operations Planning. Prune the vines to remove …

Deep residual network training for reinforced concrete …

3.2. Data expansion and preprocessing. The deep residual network model has achieved excellent results in the field of natural image classification, but in the training process of using the residual network to intelligently classify concrete diseases, a large number of training samples are also required to make the model obtain the optimal parameters.

BMO Alto – Online-Only Banking for Savings Accounts & CDs

Notice to Customers: To help the government fight the funding of terrorism and money laundering activities, federal law (USA Pat Act (Title III of Pub. L. 107 56 signed into law October 26, 2001)) requires all financial organizations to obtain, verify and record information that identifies each person who opens an account. When you open an …

Deep learning classifier for life cycle optimization of steel …

 — A comprehensive comparison reveals economic feasibility, environmental ramifications, and social life cycle assessments, with an augmented steel yield strength …

Iterative Dichotomiser 3 (ID3) Algorithm From Scratch

 — The entropy function calculates the entropy of a given dataset using the formula for information entropy. It first computes the counts of occurrences for each unique element in the dataset using np.bincount. Then, it calculates the probabilities of each element and uses these probabilities to compute the entropy using the standard formula …

Concrete and Asphalt Runway Detection in High Resolution …

Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution …

A High Accuracy Image Hashing and Random Forest …

 — A High Accuracy Image Hashing and Random Forest Classifier for Crack Detection in Concrete Surface Images. Automatic detection of cracks in concrete …

CS170 Midterm 2 Flashcards

Which statement is TRUE about choosing the right classifier for a dataset A) If classifiers X and Y yield the same accuracy on the dataset, we should choose the more complex classifier B) If on a dataset, classifier X yields 99.9% accuracy and classifier Y yields 99% accuracy, we should choose classifier X. C) If classifiers X and Y yield the same …

Classifying High Strength Concrete Mix Design Methods …

 — Introduction. There are many methods for designing normal and high strength concrete mixes. The objective of designing a concrete mix is to determine the amounts …

Multi-classifier for reinforced concrete bridge defects

Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same concrete defect. This is significant in the light of an over-aging bridge stock, decreasing infrastructure maintenance budgets and catastrophic bridge collapses as …

Assessing and Comparing Classifier Performance with ROC …

 — A single threshold can be selected and the classifiers' performance at that point compared, or the overall performance can be compared by considering the AUC. Most published reports compare AUCs in absolute terms: "Classifier 1 has an AUC of 0.85, and classifier 2 has an AUC of 0.79, so classifier 1 is clearly better". It is, however ...

Deep learning classifier for life cycle optimization of …

 — Optimal design of steel–concrete composite bridge based on a transfer function discrete swarm intelligence algorithm. Bridge optimization can be complex …

Gaussian Processes for Classification With Python

 — The Gaussian Processes Classifier is a classification machine learning algorithm. Gaussian Processes are a generalization of the Gaussian probability distribution and can be used as the basis for sophisticated non-parametric machine learning algorithms for classification and regression. They are a type of kernel model, like SVMs, and unlike …

A Novel Deep Fuzzy Classifier by Stacking Adversarial Interpretable …

 — Different from our previous stacked-structure-based deep fuzzy classifier, in this paper, we explore the distinctive role of adversarial outputs of training samples in enhancing the classification performance of a stacked-structure-based deep fuzzy classifier. In order to achieve such goals, an adversarial Takagi-Sugeno-Kang (TSK) fuzzy …

Concrete Testing Equipment for Lab and Field

Concrete Strength Testing equipment measures compressive or flexural strength of concrete to assure compliance with specifications. Gilson's concrete compression …

Post-yield bond behaviour of deformed bars in high …

 — 1. Introduction. Self-compacting concrete (SCC) was first developed in Japan by Prof. Hajime Okamura and his research team at the University of Tokyo in 1986 [1] as a solution to problems related to concrete durability and unskilled labour force. It is one of the prominent advances in concrete technology during the past 20 years.SCC is a special …

Naive Bayes Classifier Tutorial: with Python Scikit-learn

 — Naive Bayes classifiers have high accuracy and speed on large datasets. Naive Bayes classifier assumes that the effect of a particular feature in a class is independent of other features. For example, a loan applicant is desirable or not depending on his/her income, previous loan and transaction history, age, and location.

Bradley Pulverizer

 — Optimization of an airswept milling system for highest yields, efficiencies, and smooth operation can only be achieved when classifier technology is properly aligned with the specifications of the application. Bradley Pulverizer addresses the diverse needs of...

BENDING FATIGUE OF HIGH-YIELD REINFORCING BARS IN CONCRETE

BENDING FATIGUE OF HIGH-YIELD REINFORCING BARS IN CONCRETE. Continuous and butt-welded specimens of three types of high-yield reinforcing bars have been fatigue tested in bending, in concrete, at a frequency of 3 hz and to endurances up to 100 x 10 to the 6 cycles. The test results have been compared with those from axial tests, in air, on …

Selection and mathematical modelling of high efficiency air classifiers …

 — A selection methodology for high efficiency classifiers was developed. ... When the dust load was too high, operational failure due to overloading of the whole circuit was detected. Finally, TUSSIM was used for process optimization with a global optimizer-DAE solver to identify the air classifier's parameters that yielded desirable cement ...