Zobrazeno 1 - 10
of 71
pro vyhledávání: '"T., Aditya Sai Srinivas"'
Autor:
Ramasekhar Gunisetty, Y. Rameswara Reddy, Sura Sreenivasulu, Shaik Jakeer, Seethi Reddy Reddisekhar Reddy, Sangapatnam Suneetha, T. Aditya Sai Srinivas, Ashok Sarabu
Publikováno v:
East European Journal of Physics, Iss 2, Pp 249-255 (2024)
Heat transfer innovation is essential in modern society because thermal management systems need effective heating and cooling processes. It is also an essential component in the vehicle industry and other types of transportation, in addition to autom
Externí odkaz:
https://doaj.org/article/03a6e55884cd430dbf14918f86b09413
Autor:
T. Aditya Sai Srinivas, Ranjeet Yadav, V. Gowri, K. Chandraprabha, Sivakumar Ponnusamy, Dinesh Mavaluru
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101136- (2024)
Physical situations that are duplicated in virtual settings are what the term ''digital twin'' refers to. Utilizing the Internet of Things and sensors to improve microgrid operation, the Microgrid Digital Twin (MGDT) exhibits bidirectional data shari
Externí odkaz:
https://doaj.org/article/0865778e71c24406874c1d81ee8d5616
Autor:
S., Sankar, Somula, Ramasubbareddy *, Parvathala, Balakesavareddy, Kolli, Srinivas, Pulipati, Srilatha, T., Aditya Sai Srinivas
Publikováno v:
In Sustainable Computing: Informatics and Systems January 2022 33
Autor:
null I. Dwaraka Srihith, null A. David Donald, null T. Aditya Sai Srinivas, null D. Anjali, null A. Chandana
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :145-154
Firmware attacks on IoT devices have become a growing concern in recent years. These attacks exploit vulnerabilities in the firmware, which is the low-level software that controls the hardware of the device, to gain access to sensitive data or contro
Autor:
null I. Dwaraka Srihith, null A. David Donald, null T. Aditya Sai Srinivas, null D. Anjali, null R. Varaprasad
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :155-163
Data structures are the foundation of computing, providing efficient ways to store and manipulate data. They are essential for designing and implementing algorithms that can handle large amounts of information quickly and accurately. In this paper, w
Autor:
null I. Dwaraka Srihith, null A. David Donald, null T. Aditya Sai Srinivas, null G. Thippanna, null D. Anjali
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :133-144
As the need for machine learning models continues to grow, concerns about data privacy and security become increasingly important. Federated learning, a decentralized machine learning approach, has emerged as a promising solution that allows multiple
Autor:
null I. Dwaraka Srihith, null A. David Donald, null T. Aditya Sai Srinivas, null G. Thippanna, null D. Anjali
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :164-171
The Internet of Things (IoT) is rapidly growing and becoming an integral part of our daily lives. However, the increasing use of IoT devices also raises significant security concerns. One of the most pressing threats to IoT security is the blackhole
Autor:
null I. Dwaraka Srihith, null A. David Donald, null T. Aditya Sai Srinivas, null G. Thippanna, null D. Anjali
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :84-93
With the increasing volume of data being generated every day, the need for data security has become more crucial than ever. Encryption is one of the most effective techniques for protecting sensitive data from unauthorized access or theft. This compa
Autor:
null G. Thippanna, null T. Aditya Sai Srinivas, null A. David Donald, null K. Rekha, null I. Dwaraka Srihith
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :76-82
The global economy is no stranger to recessions, which can have severe impacts on businesses, individuals, and entire nations. As a result, it is essential to analyze economic data to identify and understand recession patterns, allowing for effective
Autor:
null A. David Donald, null T. Aditya Sai Srinivas, null K. Rekha, null D. Anjali, null I. Dwaraka Srihith
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :41-51
Datafication has emerged as a key driver of the digital economy, enabling businesses, governments, and individuals to extract value from the growing flood of data. In this comprehensive survey, we explore the various dimensions of datafication, inclu