000 02596nam a22003617a 4500
003 OSt
005 20260327162324.0
008 250623b |||||||| |||| 00| 0 eng d
020 _a9783031789397
_q(paperback)
040 _beng
_cDLC
_dDLC
_erda
_aSai University Library
082 _223
_a006.31
_bBAJ
111 _aInternational Conference on Innovations in Bio-inspired Computing and Applications
_cOlten, Switzerland ; Porto, Portugal ; Kaunas, Lithuania ; Noida, India ; Kochi, India ; Online)
_d2023
_n(14th
245 _aBio-inspired computing :
_bProceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023.
_cAnu Bajaj, Ajith Abraham, Ryotaro Kamimura editors.
_h[Text]
_nVolume 2,
_pDeep Learning and Large Language Models /
250 _a1st edition
264 1 _aCham :
_bSpringer,
_c[2025]
264 4 _c©2025
300 _axx, 501 pages :
_billustrations (some color)
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
490 _aLecture Notes in Networks and Systems Series ;
_vVolume 1229
_x2367-3370
500 _aGifted by Ajith Abraham
504 _aIncludes bibliographical references
520 _aThis book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 13th World Congress on Information and Communication Technologies (WICT 2023), which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (IBICA-WICT 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of bio-inspired computing and ICT systems. IBICA-WICT 2023 had contributions by authors from 36 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners focused on advanced machine learning including deep learning methods, large language models, and its real-world applications.
650 _aDeep learning (computer science)
_vCongresses
650 _aIntelligent Systems
650 _aComputing and Applications
700 _aBajaj, Anu
_eeditor
700 _aAbraham, Ajith
_eeditor
700 _aKamimura, Ryotaro
_eeditor
830 _aLecture notes in networks and systems ;
_vv. 1229
_x2367-3370
942 _2ddc
_cBK
999 _c6802
_d6802