Deep Learning Based COVID-19 Detection: Challenges and Future Directions

Khan, Muhammad Khurram; Arshad, Quratulain; Azam, Faisal; Khan, Wazir Zada

doi:10.36227/techrxiv.14625885

Cited by 4 publications

(1 citation statement)

References 133 publications

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“…These fibers give concrete greater strength, post cracking load bearing capacity, wearability, durability, structural integrity and etc [1] [7] [3] [10] [11]. Important role is playing composite fiber [12] [13] [14] [15] [16]. Composite fiber is produced as synthetic micro-fiber roving (bundle) with slicked together micro-fibers by matrix material.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Behavior of Composite Basalt Short Fiber for Concrete Structure Reinforcement

Rengasamy Kannathasan,

Krasnikovs,

Macanovskis

et al. 2024

ETR

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Interest to Fiber concrete - concrete reinforced with short randomly distributed in the material volume fibers is growing and obtaining more new fields of application. Initially used fibers were steel. Composite Fibers (CF) have become competitive with steel fibers, fiber concretes with such fibers are now under investigation. In the present research, authors investigated the bond strength between the fiber and concrete, as well as other mechanical characteristics of the fiber concrete with CF. CF were made of short basalt micro-fibers glued together by Epoxy resin. Basalt micro-fiber roving (250 filaments) was taken as a main source of the CF, it was impregnated with epoxy resin. The Epoxy resin to hardener ratio was 3:1. After a few days maturing prepared CF were cut down into short fibers of a size of 24 mm. The authors planned to prepare concrete samples for the single fiber pull-out test and composite fiber-reinforced concrete prisms for the four-point bending test. Another product used in the investigation was Oil Shale Ash (OSA). OSA is a class-C fly ash. OSA was used as a partial cement replacement in a concrete. The concrete mixture was prepared with different compositions in addition to Oil Shale Ash (was used OSA from Auvere, Estonia, thermal power plant) as replacement of cement in ratios of 0%, 10%, 20%, and 30%. Tests were performed to obtain the load-bearing capacity of a concrete with basalt fibers. An important property of every kind of fiber is the single fiber behavior under pull-out conditions. Microscopic analysis has been made to conclude the research.

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Section: Introductionmentioning

confidence: 99%

Mechanical Behavior of Composite Basalt Short Fiber for Concrete Structure Reinforcement

Rengasamy Kannathasan,

Krasnikovs,

Macanovskis

et al. 2024

ETR

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Early Detection of Covid Using Spectral Analysis of Cough and Deep Convolutional Neural Network

Ramasamy¹

2023

Lecture Notes in Computer Science

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Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review

2022

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Lung, being one of the most important organs in human body, is often affected by various SARS diseases, among which COVID-19 has been found to be the most fatal disease in recent times. In fact, SARS-COVID 19 led to pandemic that spreads fast among the community causing respiratory problems. Under such situation, radiological imaging-based screening [mostly chest X-ray and computer tomography (CT) modalities] has been performed for rapid screening of the disease as it is a non-invasive approach. Due to scarcity of physician/chest specialist/expert doctors, technology-enabled disease screening techniques have been developed by several researchers with the help of artificial intelligence and machine learning (AI/ML). It can be remarkably observed that the researchers have introduced several AI/ML/DL (deep learning) algorithms for computer-assisted detection of COVID-19 using chest X-ray and CT images. In this paper, a comprehensive review has been conducted to summarize the works related to applications of AI/ML/DL for diagnostic prediction of COVID-19, mainly using X-ray and CT images. Following the PRISMA guidelines, total 265 articles have been selected out of 1715 published articles till the third quarter of 2021. Furthermore, this review summarizes and compares varieties of ML/DL techniques, various datasets, and their results using X-ray and CT imaging. A detailed discussion has been made on the novelty of the published works, along with advantages and limitations.

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Deep Learning Based COVID-19 Detection: Challenges and Future Directions

Cited by 4 publications

References 133 publications

Mechanical Behavior of Composite Basalt Short Fiber for Concrete Structure Reinforcement

Mechanical Behavior of Composite Basalt Short Fiber for Concrete Structure Reinforcement

Early Detection of Covid Using Spectral Analysis of Cough and Deep Convolutional Neural Network

Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review

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