MARC

Tag First Indicator Second Indicator Subfields
LEADER 00000nam a2200000 i 4500
001 in00004645274
003 OCoLC
005 20221212141716.4
006 m o d
007 cr cnu---unuuu
008 220420s2023 paua ob 001 0 eng
010 |a  2022007243 
024 8 |a 40031523503 
040 |a DLC  |b eng  |e rda  |c DLC  |d OCLCO  |d OCLCF  |d YDX  |d IGIGL 
019 |a 1312656125 
020 |a 9781668438459  |q electronic book 
020 |a 1668438453  |q electronic book 
020 |z 9781668438435  |q hardcover 
020 |z 9781668438442  |q paperback 
035 |a (OCoLC)1312196954  |z (OCoLC)1312656125 
042 |a pcc 
050 4 |a QA76.9.S63  |b P75 2023 
082 0 0 |a 006.3  |2 23/eng/20220422 
245 0 0 |a Principles and applications of socio-cognitive and affective computing /  |c [edited by] S. Geetha, D. Karthika Renuka, Asnath Victy Phamila, Karthikeyan N. 
264 1 |a Hershey, PA :  |b IGI Global,  |c [2023] 
300 |a 1 online resource () :  |b illustrations (some 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 
500 |a "Premier reference source"--Cover. 
504 |a Includes bibliographical references and index. 
588 |a Description based on online resource; title from digital title page (viewed on November 23, 2022). 
505 0 |a Section 1: Socio-cognitive computing. Chapter 1. Cognitive computing ; Chapter 2. Use of socio-cognitive and affective computing to teach emotions to autistic children ; Chapter 3. An emotion-aware e-learning system based on psychophysiology ; Chapter 4. A predictive model emotion recognition on deep learning and shallow learning techniques using EEG signal ; Chapter 5. Enhanced BiLSTM model for EEG emotional data analysis ; Chapter 6. Harnessing the IoT-based activity trackers and sensors for cognitive assistance in COVID-19 -- Section 2. Affective computing. Chapter 7. Feasibility and necessity of affective computing in emotion sensing of drivers for improved road safety ; Chapter 8: A comprehensive overview of exercises for reducing stress among students in engineering institutions ; Chapter 9. Behavioral diagnosis of children utilizing support vector machine for early disorder detection ; Chapter 10. An analysis on multimodal framework for silent speech recognition ; Chapter 11. Voice-based image captioning system for assisting visually impaired people using neural networks ; Chapter 12. Statistical hypothesization and predictive modeling of reactions to COVID-19-induced remote work. 
650 0 |a Soft computing. 
650 0 |a Human-computer interaction. 
650 0 |a Affect (Psychology)  |x Computer simulation. 
650 0 |a Social psychology  |x Data processing. 
650 0 |a Affective neuroscience. 
650 6 |a Informatique douce. 
650 6 |a Psychologie sociale  |x Informatique. 
650 6 |a Neuroscience affective. 
650 7 |a Affect (Psychology)  |x Computer simulation.  |2 fast  |0 (OCoLC)fst00798854 
650 7 |a Affective neuroscience.  |2 fast  |0 (OCoLC)fst01746564 
650 7 |a Human-computer interaction.  |2 fast  |0 (OCoLC)fst00963494 
650 7 |a Social psychology  |x Data processing.  |2 fast  |0 (OCoLC)fst01122817 
650 7 |a Soft computing.  |2 fast  |0 (OCoLC)fst01124115 
655 7 |a Electronic books.  |2 local 
700 1 |a Geetha, S.,  |d 1979-  |e editor. 
700 1 |a Renukay, D. Karthika,  |d 1981-  |e editor. 
700 1 |a Phamila, Asnath Victy,  |d 1978-  |e editor. 
700 1 |a Karthikeyan, N.,  |d 1978-  |e editor. 
710 2 |a IGI Global Online 
776 1 8 |i Print version:  |t Principles and applications of socio-cognitive and affective computing.  |d Hershey PA : Engineering Science Reference, [2022]  |z 9781668438435  |w (DLC) 2022007242 
830 0 |a Advances in computational intelligence and robotics (ACIR) book series. 
856 4 0 |u http://proxy.library.tamu.edu/login?url=https://dx.doi.org/10.4018/978-1-6684-3843-5  |z Connect to the full text of this electronic book  |t 0 
945 |b 568685 
955 |a YBP purchased approval e-records 
980 |b ebook  |c 40031523503  |f NONFIC/B  |g 565751  |k USD  |m 270.00  |q 1  |s AcqMono Conventional  |t Approval plan  |u Vendor order reference number  |v ZYBP  |y E-approvals  |z Electronic resource 
999 f f |i e40e3721-323a-487c-bd0f-c4ea83614290  |s d30fe918-72d1-47f6-934a-c47c736aa549  |t 0 
952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |s www_evans  |d Available Online  |t 0  |e QA76.9.S63 P75 2023  |h Library of Congress classification