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Goyal, Manish
- An Assessment of Lung Functions in Relation to Body Surface Area
Abstract Views :217 |
PDF Views:0
Authors
Affiliations
1 Department of Physiology, G.R. Medical College, Gwalior, MP., IN
2 Department of Physiology, Lt. B.R.K.M. Govt. Medical College, Jagdalpur, CG., IN
3 Department of Physiology, CIMS, Bilaspur, CG., IN
1 Department of Physiology, G.R. Medical College, Gwalior, MP., IN
2 Department of Physiology, Lt. B.R.K.M. Govt. Medical College, Jagdalpur, CG., IN
3 Department of Physiology, CIMS, Bilaspur, CG., IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 8, No 1 (2016), Pagination: 10-12Abstract
Introduction: Due to technical developments, the function of lung may also be assessed simply and logically and with a reasonable prospect that the results from different laboratories will both agree and interpreted similarly.
Objective of the study: To know the ventilator status of the subjects as a whole in reference to different body surface areas.
Material and methods: Body surface area was calculated by taking into the account of height and weight of the sampled individuals. A total of one hundred eighty five subjects of both sexes were included in the study.
Variables: Eleven variables were taken into consideration for the study purpose.
Results: FEV.5/FVC% and FEV1/FVC% showed decline in their values with increasing body surface area in males in contrast to their female counterparts.
Conclusion: Most parameters except FEV.5/FVC% and FEV1/FVC% showed rise in their values with increasing Body Surface Area.
Keywords
Body Surface Area, Forced Vital Capacity.
- A Survey on Malware Classification Using Machine Learning and Deep Learning
Abstract Views :275 |
PDF Views:1
Authors
Manish Goyal
1,
Raman Kumar
1
Affiliations
1 Department of Computer Science and Engineering, IK Gujral Punjab Technical University, Kapurthala, Punjab, IN
1 Department of Computer Science and Engineering, IK Gujral Punjab Technical University, Kapurthala, Punjab, IN
Source
International Journal of Computer Networks and Applications, Vol 8, No 6 (2021), Pagination: 758-775Abstract
In today’s era, there is fast development in the field of Information Technology. It is a matter of great concern for cyber professionals to maintain security and privacy. Studies revealed that the number of new malware is increasing tremendously. It is a never-ending cycle between the world of attack and the defense of malicious software. Antivirus companies are always putting their efforts to develop signatures of malicious software and attackers are always in try to overcome those signatures. For the detection of malware machine learning are highly efficient. The process of detection of malware is split into two categories first is feature extraction and the second is malware classification. The effectiveness of classification algorithms depends on the feature extracted. In this paper, firstly an in-depth study of the features is provided that can be used to differentiate malware. Thereafter describe the various stages of machine learning and deep learning that researchers use in their research work and the pros and cons they face that can assist new researchers while selecting an algorithm for their research work.Keywords
Malware Detection, Static Analysis, Dynamic Analysis, Security, Features of Malware, Machine Learning, Deep Learning.Full Text
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