Autism spectrum self-stimulatory behaviours classification using explainable temporal coherency deep network and SVM classifier /
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Main Author: | |
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Format: | Thesis Book |
Language: | English |
Published: |
2022.
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Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/14424/ |
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LEADER | 01525nam a2200373 i 4500 | ||
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001 | u1158285 | ||
003 | SIRSI | ||
005 | 202204061418 | ||
008 | 220406s2022 my a 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
090 | |a QA76 |b UM 2022 Lia | ||
100 | 1 | |a Liang, Shuaibing, |e author | |
245 | 1 | 0 | |a Autism spectrum self-stimulatory behaviours classification using explainable temporal coherency deep network and SVM classifier / |c Liang Shuaibing. |
264 | 1 | |c 2022. | |
300 | |a xv, 88 leaves : |b illustrations ; |c 30 cm | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
337 | |a computer |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
338 | |a computer disc |2 rdacarrier | ||
502 | |b M.Comp.Sc. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2022. | ||
504 | |a Bibliography: leaves 80-85. | ||
530 | |a Also issued in CD. | ||
650 | 0 | |a Deep learning (Machine learning) | |
650 | 0 | |a Autism spectrum disorders. | |
650 | 0 | |a Behavior modification. | |
650 | 0 | |a Machine learning. | |
650 | 0 | |a Autistic people |x Medical care. | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14424/ |
900 | |a US | ||
596 | |a 1 25 | ||
999 | |a QA76 UM 2022 LIA |w LC |c 1 |i A517629434 |f 7/2/2023 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 3/10/2022 |1 STEM | ||
999 | |a QA76 UM 2022 LIA |w LC |c 1 |i A517629425 |f 7/3/2023 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 7/3/2023 |1 STEM |o .STAFF. MST-CD2045 |