| 000 | 01771cam a2200289zu 4500 | ||
|---|---|---|---|
| 001 | 88835211 | ||
| 003 | FRCYB88835211 | ||
| 005 | 20250107214456.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250107s2016 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128045367 | ||
| 035 | _aFRCYB88835211 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aYang, Xin-She | |
| 245 | 0 | 1 |
_aBio-Inspired Computation and Applications in Image Processing _c['Yang, Xin-She', 'Papa, Jo?O Paulo'] |
| 264 | 1 |
_bElsevier Science _c2016 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aYang, Xin-She | |
| 700 | 0 | _aPapa, Jo?O Paulo | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88835211 _qtext/html _a |
| 520 | _aBio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications | ||
| 999 |
_c64233 _d64233 |
||