An improved transformer-based concrete crack classification …
— Zheng 29 proposed an improved crack detection method of YOLO v4 lightweight visual model, which meets the real-time operation requirements without …
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 …
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 …
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.
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 …
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% …
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 …
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 …
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 …
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 ...
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 ...
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 …
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.
High Yield Savings Account | American Express® Savings
* The Annual Percentage Yield (APY) as advertised is accurate as of . Interest rate and APY are subject to change at any time without notice before and after a High Yield Savings Account is opened. Interest Rate and APY of a Certificate of Deposit account is fixed once the account is funded.
Cement Manufacturing and Process Control | SpringerLink
— The major raw materials used as a source of CaO for cement manufacturing are limestone, chalk, marl, etc. These raw materials by virtue of their natural occurrence contains other mineral impurities e.g, MgO, SiO 2, Al 2 O 3, Fe 2 O 3, alkali compounds, and sulfides.These impurities play an important role to influence the cement …
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 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 …
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%.
A Complete Guide to Purchasing an Air Classifier
In addition, incoming feed material with a wide size distribution will result in a lower yield than that of a batch with a narrower size distribution. What is your target particle size? Air Classifiers can separate fine particles that are in the range of 175 microns. However, size distributions typically fall somewhere in the 5–70-micron range.
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 …
4 Classifiers for identifying the healthy and faulty conductors
— Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems ... The long-term persistence of HIF is undesirable for profitable and smooth operations ... a sampling rate of 64 samples per cycle (3.2 kHz). The various surfaces …
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.
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 ...
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.
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 …
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...
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 …
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 …
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 …