TY  - GEN
N2  - This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2022), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 2526, 2022. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, humanmachine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.
DO  - 10.1007/978-981-99-0071-8
DO  - doi
AB  - This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2022), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 2526, 2022. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, humanmachine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.
T1  - Intelligent computing and networking :proceedings of IC-ICN 2022 /
DA  - 2023.
CY  - Singapore :
AU  - Balas, Valentina Emilia,
AU  - Semwal, Vijay Bhaskar,
AU  - Khandare, Anand,
VL  - volume 632
CN  - QA76
PB  - Springer,
PP  - Singapore :
PY  - 2023.
N1  - Includes author index.
N1  - Improvement of Makespan and TCTime in Dynamic Job Ordering and Slot Utilization for MapReduce Workloads
ID  - 1461697
KW  - Computer science
KW  - Computer networks
KW  - Machine learning
KW  - Artificial intelligence
SN  - 9789819900718
SN  - 9819900719
TI  - Intelligent computing and networking :proceedings of IC-ICN 2022 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0071-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0071-8
ER  -