Progressive kernel extreme learning machine for food image analysis via optimal features /
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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/14558/ |
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LEADER | 01533nam a2200373 i 4500 | ||
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001 | u1155759 | ||
003 | SIRSI | ||
005 | 202205241008 | ||
008 | 220524s2022 my a m 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
090 | |a QA76 |b UMP 2022 Tah | ||
100 | 1 | |a Tahir, Ghalib Ahmed, |e author. | |
245 | 1 | 0 | |a Progressive kernel extreme learning machine for food image analysis via optimal features / |c Ghalib Ahmed Tahir. |
264 | 1 | |c 2022. | |
300 | |a xxiii, 182 leaves : |b color illustrations ; |c 30 cm | ||
336 | |a text |2 rdacontent | ||
336 | |a still image |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 Ph.D. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2022. | ||
504 | |a Bibliography: leaves 165-180. | ||
530 | |a Also issued in CD. | ||
650 | 0 | |a Food industry and trade |x Technological innovations. | |
650 | 0 | |a Deep learning (Machine learning) | |
650 | 0 | |a Machine learning. | |
650 | 0 | |a Artificial intelligence. | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14558/ |
900 | |a FNM US | ||
596 | |a 1 25 | ||
999 | |a QA76 UMP 2022 TAH |w LC |c 1 |i A517729463 |d 13/8/2022 |e 13/8/2022 |f 27/6/2022 |g 1 |l STACKS |m P01UTAMA |n 2 |r Y |s Y |t TESIS |u 27/6/2022 |1 STEM | ||
999 | |a QA76 UMP 2022 TAH |w LC |c 1 |i A517485240 |f 3/8/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 3/8/2022 |1 STEM |