Audit of Pain After Arthroscopic Shoulder Surgeries

Kunal, Targe

doi:10.26226/morressier.5b519f6bb1b87b000ecf167a

Cited by 9 publications

(11 citation statements)

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“…The authors obtained an accuracy of 99.14% when using binary classification and 99.05% when using multiclass scenarios. In [29], Kunal et al presented and compared various machine learning methodologies applied in IDS. Thus, it is demonstrated that the efficiency of the algorithms used will vary according to the final objective.…”

Section: Related Workmentioning

confidence: 99%

A Vote-Based Architecture to Generate Classified Datasets and Improve Performance of Intrusion Detection Systems Based on Supervised Learning

Malta

Pinto

2022

Future Internet

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An intrusion detection system (IDS) is an important tool to prevent potential threats to systems and data. Anomaly-based IDSs may deploy machine learning algorithms to classify events either as normal or anomalous and trigger the adequate response. When using supervised learning, these algorithms require classified, rich, and recent datasets. Thus, to foster the performance of these machine learning models, datasets can be generated from different sources in a collaborative approach, and trained with multiple algorithms. This paper proposes a vote-based architecture to generate classified datasets and improve the performance of supervised learning-based IDSs. On a regular basis, multiple IDSs in different locations send their logs to a central system that combines and classifies them using different machine learning models and a majority vote system. Then, it generates a new and classified dataset, which is trained to obtain the best updated model to be integrated into the IDS of the companies involved. The proposed architecture trains multiple times with several algorithms. To shorten the overall runtimes, the proposed architecture was deployed in Fed4FIRE+ with Ray to distribute the tasks by the available resources. A set of machine learning algorithms and the proposed architecture were assessed. When compared with a baseline scenario, the proposed architecture enabled to increase the accuracy by 11.5% and the precision by 11.2%.

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Section: Related Workmentioning

confidence: 99%

A Vote-Based Architecture to Generate Classified Datasets and Improve Performance of Intrusion Detection Systems Based on Supervised Learning

Malta

Pinto

2022

Future Internet

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“…It is a very fine, powdered, grey material with micron-sized grains. Its composition highly depends on the raw materials and fuel used in the cement's manufacture [28]. CKD contains significant amounts of sodium and potassium, which accelerates the strength development of slag cement by increasing the rate of slag hydration [29].…”

Section: Introductionmentioning

confidence: 99%

“…CKD contains significant amounts of sodium and potassium, which accelerates the strength development of slag cement by increasing the rate of slag hydration [29]. CKD has a large specific surface area of about 4600-14,000 cm 2 /g [28], so that the dissolution rate of its components in water is notable. CKD also contains chlorides and calcium carbonate.…”

Section: Introductionmentioning

confidence: 99%

Microstructure of CEM II/B-S Pastes Modified with Set Accelerating Admixtures

Pizoń

Łaźniewska-Piekarczyk

2021

Materials

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The presented paper aims to describe the influence of accelerating admixtures on the properties and microstructure of cement pastes and mortars. Blended slag cement CEM II/B-S containing two different clinkers (differing amounts of siliceous and aluminous phases) and four types of accelerators (calcium nitrate, sodium hydroxide, cement kiln dust, and crystal seeds) were used in research. Compressive strength tests (after 12, 24, 48 h of curing), Scanning Electron Microscope (SEM) observations together with an Energy Dispersive Spectroscopy (EDS) analysis, Mercury Intrusion Porosimetry (MIP) tests, and X-ray diffraction (XRD) analysis were conducted. Results have shown that SEM and EDS examination of the microstructure of cement pastes modified with accelerating admixtures at the observed points did not reveal differences that would be sufficient to explain the changes in compressive strength. Still, the increase in amorphous phase content indicates a faster hydration reaction rate for all pastes modified with accelerating admixture. It is backed up also by lower non-hydrated compounds content. All admixtures accelerate the hydration reaction of calcium silicate phases of cement, but only NaOH and cement kiln dust (CKD) influence the aluminate phase reaction rate. The pore volume is independent of the clinker type, while the pore size distribution is not.

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“…Kunal et al [16] tested the effectiveness of bacteria in improving the splitting tensile strength of concrete by replacing 10% of the cement content with bacteria. The results showed that the bacteria improved the splitting tensile strength.…”

Section: Introductionmentioning

confidence: 99%

The Use of Calcium Lactate to Enhance the Durability and Engineering Properties of Bioconcrete

et al. 2021

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This study investigated the optimization of the bioconcrete engineering properties and durability as a response of the calcium lactate (CL) content (0.22–2.18 g/L) and curing duration (7–28 days) using the response surface methodology (RSM). Scanning electronic microscopy (SEM) was conducted to evaluate the microstructure of calcium precipitated inside the bioconcrete. The results indicated that the optimal conditions for the engineering properties of concrete and durability were determined at 2.18 g/L of CL content after 23.4 days. The actual and predicted values of the compressive strength, splitting tensile strength, flexural strength, and water absorption were 43.51 vs. 43.43, 3.19 vs. 3.19, 6.93 vs. 5.50, and 7.55 vs. 7.55, respectively, with a level of confidence exceeding 95%. The scanning electron microscope (SEM) images and energy-dispersive X-ray spectroscopy (EDX) proved that the amount of calcium increased with the increase in CL content up to 2.81 g/L at 23.4 days, reducing the pores inside the concrete and making it a great potential option for healing of concrete structures.

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Audit of Pain After Arthroscopic Shoulder Surgeries

Cited by 9 publications

References 0 publications

A Vote-Based Architecture to Generate Classified Datasets and Improve Performance of Intrusion Detection Systems Based on Supervised Learning

A Vote-Based Architecture to Generate Classified Datasets and Improve Performance of Intrusion Detection Systems Based on Supervised Learning

Microstructure of CEM II/B-S Pastes Modified with Set Accelerating Admixtures

The Use of Calcium Lactate to Enhance the Durability and Engineering Properties of Bioconcrete

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