Amit Kumar Bairwa | Akateeminen Kirjakauppa

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COMPUTATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING : FIRST INTERNATIONAL CONFERENCE, ICCAIML 2024, JAIPUR, INDIA, JANUA

Amit Kumar Bairwa (ed.); Varun Tiwari (ed.); Santosh Kumar Vishwakarma (ed.); Milan Tuba (ed.); Thittaporn (ed Ganokratanaa
Springer (2024)
Pehmeäkantinen kirja

86,40 €

COMPUTATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING : FIRST INTERNATIONAL CONFERENCE, ICCAIML 2024, JAIPUR, INDIA, JANUA

Amit Kumar Bairwa (ed.); Varun Tiwari (ed.); Santosh Kumar Vishwakarma (ed.); Milan Tuba (ed.); Thittaporn (ed Ganokratanaa
Springer (2024)
Pehmeäkantinen kirja

76,40 €

ENHANCED PAGE RANK ALGORITHM USING PAGE CONTENT MINING

Nitesh Pradhan; Prashant Hemrajani; Amit Kumar Bairwa
LAP Lambert Academic Publishing (2021)
Pehmeäkantinen kirja

93,80 €

CYBER WARFARE, SECURITY AND SPACE RESEARCH : FIRST INTERNATIONAL CONFERENCE, SPACSEC 2021, JAIPUR, INDIA, DECEMBER 9–10, 2021, R

Sandeep Joshi (ed.); Amit Kumar Bairwa (ed.); Amita Nandal (ed.); Milena Radenkovic (ed.); Cem Avsar (ed.)
Springer (2022)
Pehmeäkantinen kirja

81,40 €

CYBER WARFARE, SECURITY AND SPACE COMPUTING : SECOND INTERNATIONAL CONFERENCE ON CYBER WARFARE, SECURITY AND SPACE COMPUTING, SP

Sandeep Joshi (ed.); Amit Kumar Bairwa (ed.); Milena Radenkovic (ed.); Anton Pljonkin (ed.)
Springer (2024)
Pehmeäkantinen kirja

76,40 €

Computation of Artificial Intelligence and Machine Learning : First International Conference, ICCAIML 2024, Jaipur, India, Janua

Amit Kumar Bairwa (ed.), Varun Tiwari (ed.), Santosh Kumar Vishwakarma (ed.), Milan Tuba (ed.), Thittaporn (ed Ganokratanaa

86,40 €

Springer
Sivumäärä: 399 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2024, 23.10.2024 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 2184

The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur, India, in January 18–19, 2024.

The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Learning, such as Neural Networks and Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Mining and Big Data Analytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics.

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