Source Title: Indonesian Journal of Electrical Engineering and Computer Science, Quartile: Q4
View abstract ⏷
Optical character recognition (OCR) technology is indispensable for converting and analyzing text from various sources into a format that is editable and searchable. Telugu handwriting presents notable challenges due to the resemblance of characters, the extensive character set, and the need to segment overlapping characters. To segment the overlapping characters, we assess the width of small characters within a word and segment the overlapping characters accordingly. This method is well suited for the segmentation of overlapping compound characters. To address the recognition of similar characters with less training periods we have used ResNet 18 and SqueezeNet models which have achieved character recognition rates of 95% and 94% respectively
Covind-19 Detection Using X-Ray Images by Machine Learning
Source Title: African Journal of Biomedical Research, Quartile: Q4
View abstract ⏷
For densely populated international locations it's miles difficult to prevent the spread of recent infections which will spread at quicker rates. COVID-19 has created a new world, a new normal, with direct impact on health and leading to economic, social and political consequences. Artificial Intelligence (AI) is a dominant tool having good potential in battling the COVID- 19. There has been a dash to use AI, ever since the outburst of the epidemic. This article provides necessary review, examining the part of AI being played in battle in opposition to COVID-19. The two sub-fields of AI namely, machine learning (ML) and deep learning (DL) which can very well contribute to the battle in opposition to COVID-19, is conferred. This paper helps in concluding that so far AI has been that impactful in opposition to COVID19 as it should be. The usage of AI is weighed down due to lack of good quality data, and too much- unlabelled data. To overcome these restraints, a very balanced relationship between data privacy and public health is required, with precise human-AI interaction. In this paper we discuss on how COVID-19 detection is done by AI methods using X-Ray images and the results were compared with existing methods. This paper also helps to know deep review on COVID-19 suing Deep Learning. We also discussed how COVID-19 can be traced using Deep Learning methods.
Patents
A Computer-Implemented System for Predicting Drug-Target Interactions
Source Title: Indonesian Journal of Electrical Engineering and Computer Science, Quartile: Q4
View abstract ⏷
Optical character recognition (OCR) technology is indispensable for converting and analyzing text from various sources into a format that is editable and searchable. Telugu handwriting presents notable challenges due to the resemblance of characters, the extensive character set, and the need to segment overlapping characters. To segment the overlapping characters, we assess the width of small characters within a word and segment the overlapping characters accordingly. This method is well suited for the segmentation of overlapping compound characters. To address the recognition of similar characters with less training periods we have used ResNet 18 and SqueezeNet models which have achieved character recognition rates of 95% and 94% respectively
Covind-19 Detection Using X-Ray Images by Machine Learning
Source Title: African Journal of Biomedical Research, Quartile: Q4
View abstract ⏷
For densely populated international locations it's miles difficult to prevent the spread of recent infections which will spread at quicker rates. COVID-19 has created a new world, a new normal, with direct impact on health and leading to economic, social and political consequences. Artificial Intelligence (AI) is a dominant tool having good potential in battling the COVID- 19. There has been a dash to use AI, ever since the outburst of the epidemic. This article provides necessary review, examining the part of AI being played in battle in opposition to COVID-19. The two sub-fields of AI namely, machine learning (ML) and deep learning (DL) which can very well contribute to the battle in opposition to COVID-19, is conferred. This paper helps in concluding that so far AI has been that impactful in opposition to COVID19 as it should be. The usage of AI is weighed down due to lack of good quality data, and too much- unlabelled data. To overcome these restraints, a very balanced relationship between data privacy and public health is required, with precise human-AI interaction. In this paper we discuss on how COVID-19 detection is done by AI methods using X-Ray images and the results were compared with existing methods. This paper also helps to know deep review on COVID-19 suing Deep Learning. We also discussed how COVID-19 can be traced using Deep Learning methods.
Source Title: Indonesian Journal of Electrical Engineering and Computer Science, Quartile: Q4
View abstract ⏷
Optical character recognition (OCR) technology is indispensable for converting and analyzing text from various sources into a format that is editable and searchable. Telugu handwriting presents notable challenges due to the resemblance of characters, the extensive character set, and the need to segment overlapping characters. To segment the overlapping characters, we assess the width of small characters within a word and segment the overlapping characters accordingly. This method is well suited for the segmentation of overlapping compound characters. To address the recognition of similar characters with less training periods we have used ResNet 18 and SqueezeNet models which have achieved character recognition rates of 95% and 94% respectively
Covind-19 Detection Using X-Ray Images by Machine Learning
Source Title: African Journal of Biomedical Research, Quartile: Q4
View abstract ⏷
For densely populated international locations it's miles difficult to prevent the spread of recent infections which will spread at quicker rates. COVID-19 has created a new world, a new normal, with direct impact on health and leading to economic, social and political consequences. Artificial Intelligence (AI) is a dominant tool having good potential in battling the COVID- 19. There has been a dash to use AI, ever since the outburst of the epidemic. This article provides necessary review, examining the part of AI being played in battle in opposition to COVID-19. The two sub-fields of AI namely, machine learning (ML) and deep learning (DL) which can very well contribute to the battle in opposition to COVID-19, is conferred. This paper helps in concluding that so far AI has been that impactful in opposition to COVID19 as it should be. The usage of AI is weighed down due to lack of good quality data, and too much- unlabelled data. To overcome these restraints, a very balanced relationship between data privacy and public health is required, with precise human-AI interaction. In this paper we discuss on how COVID-19 detection is done by AI methods using X-Ray images and the results were compared with existing methods. This paper also helps to know deep review on COVID-19 suing Deep Learning. We also discussed how COVID-19 can be traced using Deep Learning methods.
