Computer Vision-Based Smoke and Fire Detection (Record no. 25764)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00632nam a2200193Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | 25764 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250204s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.5 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Item number | H 117 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Maad Anwar Ismael AL-Hadithy |
| 245 #0 - TITLE STATEMENT | |
| Title | Computer Vision-Based Smoke and Fire Detection |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 87p |
| 500 ## - GENERAL NOTE | |
| General note | دبلوم عالي |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Fadwa Subhi Mustafa |
| 502 ## - DISSERTATION NOTE | |
| Degree type | الجامعة التقنية الشمالية / الكلية التقنية / الموصل |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Techniques Engineering |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://drive.google.com/open?id=1ZwHmmW47YLmPTqqv2zoT3gJsEFMFI-D-">https://drive.google.com/open?id=1ZwHmmW47YLmPTqqv2zoT3gJsEFMFI-D-</a> |
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