Image Caption Generation and Comprehensive Comparison of Image Encoders

Gupta, Savina; Agnihotri, Shubham; Birla, Deepasha; Jain, Achin; Vaiyapuri, Thavavel; Lamba, Puneet Singh

doi:10.54216/fpa.040202

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…For a common analysis, a maximum of 10 min observations is accounted for in this assessment. Based on this information, the sensitivity, specificity, precision, and negative prediction metrics are compared with ML-ResNet [ 23 ], TSCNN [ 27 ], and Big-ECG [ 17 ] techniques.…”

Section: Discussionmentioning

confidence: 99%

“…The defined model is mostly used for identifying the type of cardiovascular disease. The feature extraction process is done using a convolutional neural network (CNN) and long short-term memory (LSTM) algorithm which find out the optimal features [ 23 ]. The feature extraction process extracts both temporal and special features which are given by ECG signals.…”

Section: Related Workmentioning

confidence: 99%

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Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

Zhou

2022

BioMed Research International

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The blockage of blood in the vessels results in heart attacks and cardiac arrests which are referred to as myocardial infarction. Early detection of such infarction is feasible through percutaneous coronary intervention (PCI) based on electrocardiogram (ECG) monitoring. The variations in blood flow and clot are precisely observed through periodic ECG monitoring and previous correlations. This article introduces a concentrated value assessment model (CVAM) for determining PCI levels in treating myocardial infarction. The ECG observations from the previous observation sessions are accumulated and organized for validating the infarction rate. This requires the accompanying concentrated data like a heartbeat, blood pressure, and flow rate observed in different sessions. Based on the session observation and normal data correlation, the PCI level is recommended for the patient. In this analysis process, the value shift due to blocks and high and low blood pressure is accounted for through the deep learning paradigm. This paradigm correlates the above factors with the ECG values for precisely determining PCI from the last known concentration. The learning paradigm is trained based on session and normal observation data through different intervals. This model is validated using the metrics precision, analysis rate, diagnosis recommendation, and complexity.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

Zhou

2022

BioMed Research International

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“…To speed up the program, it is important to convert the downloaded image into a gray image. Gray scale can represent the total area and distribution area of the whole image as well as the color and brightness characteristics [ 16 ].…”

Section: Methodsmentioning

confidence: 99%

Influence of Aerobic Exercise Load Intensity on Children’s Mental Health

Zhao

2022

Emergency Medicine International

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As people have become more aware in recent years, aerobic physical exercise plays an important role in alleviating people’s mental health problems. However, traditionally, it is believed that young children do not have mental health problems. To help people change this fixed idea, and to study how to correctly adjust the load intensity of aerobic physical exercise under the condition of limited physical fitness of young children, and accurately help children’s mental health development, this paper studies the influence of aerobic physical exercise load intensity on children’s mental health. In this paper, the detection and tracking technology of video moving objects is used to analyze the data of the research object. This technique includes several commonly used and improved video analysis algorithms. The use of moving target and tracking technology and algorithms can completely extract moving targets, eliminate the phenomenon of void and nothingness, and improve data acquisition and analysis capabilities. The results show that taking part in aerobic exercise with appropriate intensity is beneficial to regulating children’s emotional state, reducing their psychological burden, enhancing their negative energy resistance, and arousing their positive participation. Compared with before aerobic exercise, the learning efficiency was improved by 6.36%.

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“…e purpose of the brown analysis is to examine the points in the digital image where the exposure will change drastically. Significant changes in image properties often indicate significant events and changes in assets [9]. ese include differences in depth, differences in surface orientation, changes in material properties, and changes in environmental descriptions.…”

Section: Methods Of Constructing English Translation Teaching Modementioning

confidence: 99%

Construction of English Translation Teaching Model Based on Cloud Data Edge Detection Algorithm and Output-Oriented Method

Kong

2022

Mobile Information Systems

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In the context of globalization, English, as a unique passport to the world, is an important way for countries to communicate in information, technology, and culture. The output-oriented approach is a new theory of foreign language learning and teaching constructed by Chinese scholars, which has attracted widespread attention from foreign language scholars and front-line teachers and is expected to address the issue of “separation of learning and use” of English in Chinese universities. In the context of globalization, English, as a unique passport to the world, is an essential way for countries to exchange ideas about information, technology, and culture. Therefore, there is no doubt that English education plays a crucial role in nurturing the younger generation, especially at the high school level. This paper introduces an edge detection algorithm and an output-oriented approach to the teaching model of English translation. Questionnaires were administered to students in the control and experimental classes. The percentages of students who strongly disagreed, disagreed, neutral, agreed, and strongly agreed with the translation task based on their interest were 1.9%, 13%, 25.1%, 36.8%, and 23.2%, respectively.

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Image Caption Generation and Comprehensive Comparison of Image Encoders

Cited by 8 publications

References 32 publications

Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction

Influence of Aerobic Exercise Load Intensity on Children’s Mental Health

Construction of English Translation Teaching Model Based on Cloud Data Edge Detection Algorithm and Output-Oriented Method

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