Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Patel, Jagadish A."'
Publikováno v:
Indian Journal of Veterinary Sciences & Biotechnology; Sep/Oct2024, Vol. 20 Issue 5, p126-129, 4p
Autor:
Dhami, Arjan J., Parmar, Sanjay C., Patel, Jagadish A., Hadiya, Kamlesh K., Joshi, Rajesh S., Sarvaiya, Nitesh P.
Publikováno v:
Indian Journal of Veterinary Sciences & Biotechnology; Apr-Jun2022, Vol. 18 Issue 2, p12-20, 9p
Autor:
Kundu, Arjun, Biswas, Prasenjit, Patel, Deepak, Nayak, Jagadish, Verma, Rupesh Kumar, Mallik, Archana, Das, Sanjeev
Publikováno v:
JOM: The Journal of The Minerals, Metals & Materials Society (TMS); Dec2023, Vol. 75 Issue 12, p5868-5883, 16p
Autor:
Sultana, Mst. Nazma1 n.sultana@iem.kuet.ac.bd, Dhar, Nikhil Ranjan1
Publikováno v:
Archive of Mechanical Engineering. 2021, Vol. 68 Issue 1, p23-49. 27p.
Autor:
KUMAR, JOGENDRA, VERMA, RAJESH KUMAR
Publikováno v:
Surface Review & Letters; Sep2021, Vol. 28 Issue 9, p1-19, 19p
Autor:
Sakr, Sherif
Publikováno v:
Journal of Database Management; Jul-Sep2009, Vol. 20 Issue 3, p76-125, 50p, 14 Diagrams, 3 Charts, 7 Graphs
Autor:
Francisco Mata Cabrera, Issam Hanafi
Academic scholars engaged in the machining of polymer matrix composites encounter formidable challenges, including material property variations, complex structures, and the quest for high surface quality. Insufficient comprehensive resources exacerba
Autor:
Alex M. Arnold
This book consists of seven chapters, which speak about the future of collaborative learning. The aim of Chapter One is to shed light on the future of collaborative learning, especially using AI, since there is still a gap in research in this field.
Autor:
Tatjana Sibalija, J. Paulo Davim
This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contribute
Autor:
Kapil Gupta, Munish Kumar Gupta
This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making method