LDR | | 04055cmm u2200625 i 4500 |
001 | | 000000327572 |
003 | | OCoLC |
005 | | 20240307140040 |
006 | | m d |
007 | | cr cnu---unuuu |
008 | | 221129s2023 paua ob 001 0 eng |
010 | |
▼a 2022049365 |
020 | |
▼a 1668469820
▼q electronic book |
020 | |
▼a 9781668469828
▼q (electronic bk.) |
020 | |
▼z 9781668469804
▼q hardcover |
020 | |
▼z 9781668469811
▼q paperback |
035 | |
▼a 3582857
▼b (N$T) |
035 | |
▼a (OCoLC)1355043494 |
040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d OCLCF
▼d YDX
▼d IGIGL
▼d OCLCQ
▼d OCLCO
▼d N$T
▼d 248032 |
042 | |
▼a pcc |
049 | |
▼a MAIN |
050 | 04 |
▼a QP357.5
▼b .E97 2023 |
082 | 00 |
▼a 612.80285/63
▼2 23/eng/20221215 |
245 | 00 |
▼a Exploring future opportunities of brain-inspired artificial intelligence /
▼c Madhulika Bhatia, Tanupriya Choudhury, Bhupesh Kumar Dewangan. |
264 | 1 |
▼a Hershey, PA :
▼b Engineering Science Reference, an imprint of IGI Global,
▼c [2023] |
300 | |
▼a 1 online resource (xxix, 215 pages) :
▼b illustrations (chiefly color). |
336 | |
▼a text
▼b txt
▼2 rdacontent |
337 | |
▼a computer
▼b c
▼2 rdamedia |
338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
490 | 1 |
▼a Advances in computational intelligence and robotics (ACIR) book series |
504 | |
▼a Includes bibliographical references and index. |
505 | 0 |
▼a Chapter 1. Application of brain-inspired computing for daily assistance -- Chapter 2. Visualizing neuroscience through AI: a systematic review -- Chapter 3. Study and innovative approach of deep learning algorithms and architecture -- Chapter 4. Enhancing brain imaging using super resolution: challenges and benefits -- Chapter 5. Overview on incorporating computer-aided diagnosis systems for dementia: early detection of Alzheimer's disease -- Chapter 6. Ambient assisted living (AAL) systems to help older people -- Chapter 7. Brain-inspired AI to a symbiosis of human intelligence and artificial intelligence -- Chapter 8. Knowledge representation-based hemispheric specialization of the brain -- Chapter 9. Data analysis tools for neural data cognitive computing: neural-inspired algorithms -- Chapter 10. Performance analysis of pre-trained convolutional models for brain tumor classification. |
520 | |
▼a "Our Book mainly focus on convergence of artificial intelligence with Brain inspired intelligence. Applications of Artificial Intelligence in Brain simulation are countless. Brain simulation , recording and analysis of Brain signals and applying AI in it will be accommodating all domain of Artificial Intelligence and Brain Intelligence and how it can be related and utilized for many applications. The book will provide rich content for researchers and Scholars to explore new dimensions that can be implemented"--
▼c Provided by publisher. |
588 | |
▼a Description based on online resource; title from digital title page (viewed on March 31, 2023). |
590 | |
▼a Added to collection customer.56279.3 |
650 | 0 |
▼a Neurosciences
▼x Data processing. |
650 | 0 |
▼a Computational neuroscience. |
650 | 0 |
▼a Artificial intelligence. |
650 | 0 |
▼a Soft computing. |
650 | 6 |
▼a Neurosciences informatiques. |
650 | 6 |
▼a Intelligence artificielle. |
650 | 6 |
▼a Informatique douce. |
650 | 7 |
▼a artificial intelligence.
▼2 aat |
650 | 7 |
▼a Artificial intelligence
▼2 fast |
650 | 7 |
▼a Computational neuroscience
▼2 fast |
650 | 7 |
▼a Neurosciences
▼x Data processing
▼2 fast |
650 | 7 |
▼a Soft computing
▼2 fast |
700 | 1 |
▼a Bhatia, Madhulika,
▼d 1984-,
▼e editor. |
700 | 1 |
▼a Choudhury, Tanupriya,
▼e editor. |
700 | 1 |
▼a Dewangan, Bhupesh,
▼d 1983-,
▼e editor. |
776 | 08 |
▼i Print version:
▼t Exploring future opportunities of brain-inspired artificial intelligence
▼d Hershey, PA : Engineering Science Reference, [2023]
▼z 9781668469804
▼w (DLC) 2022049364 |
830 | 0 |
▼a Advances in computational intelligence and robotics (ACIR) book series. |
856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3582857 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 3582857 |
990 | |
▼a 관리자 |
994 | |
▼a 92
▼b N$T |