Ketan Gupta

Mr. Ketan Gupta

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 June 2023 in Microsystem Technologies
Verified
Journal Article
Closed access
PDF file
Pawan WhigPawan Whig
Pawan Whig
KGKetan Gupta
Ketan Gupta
NJNasmin Jiwani
Nasmin Jiwani
HJHruthika Jupalle
Hruthika Jupalle
SKShama Kouser
Shama Kouser
NANaved Alam
Naved Alam

1 January 2024
Verified
Book Chapter
Open access
PDF file
KYKarthik Raj Kumar Yesodha
Karthik Raj Kumar Yesodha
VGVigneshwaran Gowrishankar
Vigneshwaran Gowrishankar
AJArunkumar Jagadeesan
Arunkumar Jagadeesan
KGKetan Gupta
Ketan Gupta
JLJ. Logeshwaran
J. Logeshwaran
Real-time monitoring of logistics via the Internet of Things (Iota) is a contemporary provider shipping device that allows groups to monitor and song the delivery and series of goods. This machine is enabled with the aid of using sensors to accumulate data, that’s in addition used to enhance the logistics technique. Via Iota, it’s far more feasible to continuously monitor the supply chain and tune changes at each stage of the hobby. Iota is capable of completely revolutionizing how corporations manipulate their logistics operations, allowing them to increase efficiency and reduce delays. With the aid of permitting the gathering and evaluation of amassed data, agencies can gain more insight into the performance of their delivery chain and make choices that may enhance the logistics system. Furthermore, actual-time monitoring of goods can lessen the risk of robbery and provide greater transparency for the clients. Through its capability to make information series greater efficient and real-time monitoring greater dependable, Iota may be a notable asset to any corporation’s logistics operations. Its potential for more suitable customer pride and accelerated efficiency prove priceless for achievement within the present-day business world.

1 January 2024
Verified
Book Chapter
Open access
PDF file
VMVazeer Ali Mohammed
Vazeer Ali Mohammed
AGAshween Ganesh
Ashween Ganesh
MMMurtuza Ali Mohammed
Murtuza Ali Mohammed
KGKetan Gupta
Ketan Gupta
NYN. Yuvaraj
N. Yuvaraj
AI can revolutionize the fitness care industry, from improving the early detection and analysis of disease to tracking chronic ailments and even predicting destiny health risks. AI can be used to identify deceptive interactions among dangerous elements and clinical treatments to save you from the onset of a disorder. AI can also assist in identifying new targets for preventive and healing interventions and compare treatment plans through the years to alter them as important. AI algorithms can examine massive quantities of facts with the intention of discerning patterns and uncovering new insights about how a disease develops or how an intervention can paintings to help save you from disease. Similarly, AI may be used to improve patient consequences by providing correct and dependable diagnostic and prognostic outcomes. AI can also aid the improvement of personalized treatments for diseases, which include cancer, in addition to generating personalized preventive fitness care plans. ultimately, AI can be used to expand new strategies for the prevention of disease by predicting how the spread of sickness might be induced and aided by means of environmental variations. In precis, AI can enhance the early detection and prognosis of ailment and enhance affected person outcomes via personalized remedies. It could provide new insights into sickness approaches, as well as offer greater precise predictive fashions for ailment prevention.