Institution
Chandigarh University
Education•Mohali, India•
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.
Papers
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02 Jul 2020TL;DR: This paper will discuss about the Metasploit Framework tool which is always used by the Hackers & Pen-testers to perform activities i.e. from Scanning to exploiting the systems.
Abstract: In today’s world, the usage of internet is everywhere. It plays an important part in the life of humans. As we all know that the Internet has made the life of humans much easier not only in personal but also in professional aspect. This ease in life has given birth to so many threats and flaws that are further giving access to the intruders known as ‘Hackers’ to enter in a user’s private space and perform some activities which can be very harmful for that particular user. In this paper, we will discuss about the Metasploit Framework tool which is always used by the Hackers & Pen-testers to perform activities i.e. from Scanning to exploiting the systems.
14 citations
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TL;DR: A Demand Replication Optimization Scheme (DROpS) for the smart energy ecosystem is designed and a Multi-Leader Multi-Follower Stackelberg game is formulated in this paper to operate with the proposed scheme.
14 citations
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TL;DR: In this article, the authors outline the epidemiology, virology, clinical aspects, and existing HFRS and HCPS management approaches, and give an understanding of virus-host interactions and will help for the early preparation and effective handling of further outbreaks in an everchanging environment.
Abstract: At the end of 2019 and 2020s, a wave of coronavirus disease 19 (COVID-19) epidemics worldwide has catalyzed a new era of 'communicable infectious diseases'. However, the world is not currently prepared to deal with the growing burden of COVID-19, with the unexpected arrival of Hantavirus infection heading to the next several healthcare emergencies in public. Hantavirus is a significant class of zoonotic pathogens of negative-sense single-stranded ribonucleic acid (RNA). Hemorrhagic renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS) are the two major clinical manifestations. Till date, there is no effective treatments or vaccines available, public awareness and precautionary measures can help to reduce the spread of hantavirus disease. In this study, we outline the epidemiology, virology, clinical aspects, and existing HFRS and HCPS management approaches. This review will give an understanding of virus-host interactions and will help for the early preparation and effective handling of further outbreaks in an ever-changing environment.
14 citations
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TL;DR: A hybrid deep learning framework using long short term memory (LSTM) Layer with vanishing time series gradient and maximal overlap discrete wavelet transform (MODWT) model for photovoltaic (PV) power forecasting through time series decomposition outperforms existing state-of-the-art models.
14 citations
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01 Jan 2021TL;DR: The main aim of this chapter is to provide a systematic view of the technology used for FC in healthcare 4.0 with the help of some case studies for better understanding in solving health-related issues.
Abstract: Health issues (concerning human being) are critical nowadays. Due to heavy workload and less time, human beings do not have sufficient time to consult a doctor regarding their health. Healthcare industry has a different generation like healthcare 1.0 to healthcare 4.0. Healthcare 3.0 is focused on hospitals, where patients have to visit multiple hospitals for their routine examination, making them suffer through long-lasting sickness. It turns a patient into a lengthy process of examination and also it increases the overall budget of treatment. However, with the help of Fog Computing (FC), the above-said problem can be minimized by investing less money on computing and storage facility in respect of data related to patients. Healthcare 4.0 is working on FC platform. FC extends cloud computing platforms with additional computing, storage and networking resources, placed near end-user devices. FC deploying fog nodes throughout the network is deployed in target areas like cars and offices etc. When an IoT device generates the data, then it will be analyzed by one of the fog nodes without sending back to the cloud. The main aim of this chapter is to provide a systematic view of the technology used for FC in healthcare 4.0. This chapter also gives a comparative study of the different version of healthcare with current version 4.0. Further, different researchers view about healthcare industry is discussed in detail. This chapter also discussed the importance of FC in healthcare with the help of some case studies for better understanding in solving health-related issues.
14 citations
Authors
Showing all 1533 results
Name | H-index | Papers | Citations |
---|---|---|---|
Neeraj Kumar | 76 | 587 | 18575 |
Rupinder Singh | 42 | 458 | 7452 |
Vijay Kumar | 33 | 147 | 3811 |
Radha V. Jayaram | 32 | 114 | 3100 |
Suneel Kumar | 32 | 180 | 5358 |
Amanpreet Kaur | 32 | 367 | 5713 |
Vikas Sharma | 31 | 145 | 3720 |
Munish Kumar Gupta | 31 | 192 | 3462 |
Vijay Kumar | 30 | 113 | 2870 |
Shashi Kant | 29 | 160 | 2990 |
Sunpreet Singh | 29 | 153 | 2894 |
Gagangeet Singh Aujla | 28 | 109 | 2437 |
Deepak Kumar | 28 | 273 | 2957 |
Dilbag Singh | 27 | 77 | 1723 |
Tejinder Singh | 27 | 162 | 2931 |