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| 001 | 978-981-97-7344-2 | ||
| 003 | DE-He213 | ||
| 005 | 20251030114557.0 | ||
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| 008 | 241201s2024 si | s |||| 0|eng d | ||
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_a9789819773442 _9978-981-97-7344-2 |
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_a10.1007/978-981-97-7344-2 _2doi |
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_aUYQ _2bicssc |
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_aCOM004000 _2bisacsh |
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_aSolving with Bees _h[electronic resource] : _bTransformative Applications of Artificial Bee Colony Algorithm / _cedited by Khalid Raza. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
|
| 300 |
_aXVIII, 199 p. 27 illus., 20 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Tracts in Nature-Inspired Computing, _x2524-5538 |
|
| 505 | 0 | _aFundamentals of Artificial Bee Colony Algorithms and Its Variants -- The Rise of Artificial Bee Colony Algorithms in Data Science and Machine Learning is Notable -- Swarm Intelligence for Optimization: A Bee's-Eye View on Multi-objective and Dynamic Challenges -- Artificial Bee Colony Algorithms in Control Systems, Robotics and Automation -- Integrating Artificial Bee Colony Algorithms for Deep Learning Model Optimization: A Comprehensive Review -- An IoMT Enabled Iterative Artificial Bee Colony Approach Using Federated Learning for Detection of Heart Disease -- Optimal Design of a Biomedical Amplifier for Minimum Offset Using a Modified ABC Algorithm -- Using Honeybees for Gene Expression Profiling: The Artificial Bee Colony Algorithm to Identify Robust Gene Biomarkers for Clinical Diagnosis -- Smart Diagnostics for Diabetic Retinopathy: Integrating Artificial Bee Colony Algorithms into Medical Image Analysis -- Artificial Bee Colony Algorithms in Gene Expression Studies: A Case Study -- Artificial Bee Colony Algorithm in Multi-Omics Analysis: A Case Study. | |
| 520 | _aThis book is a comprehensive volume, which delves into the versatile world of Artificial Bee Colony (ABC) algorithms, their variants, and myriad applications in a wide range of fields. This book is designed to be an essential resource for researchers, practitioners, students, and anyone intrigued by the fascinating realm of swarm intelligence and optimization. This book serves as a bridge between the theoretical foundations of ABC algorithms and their practical implementations across diverse domains. The book offers a deep understanding of these algorithms and how they can be harnessed to tackle complex real-world challenges. | ||
| 650 | 0 |
_aComputational intelligence. _964052 |
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| 650 | 0 |
_aArtificial intelligence. _958441 |
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| 650 | 0 | _aImage processing. | |
| 650 | 1 | 4 |
_aComputational Intelligence. _964052 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 | _aImage Processing. |
| 700 | 1 |
_aRaza, Khalid. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _970979 |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789819773435 |
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_iPrinted edition: _z9789819773459 |
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_iPrinted edition: _z9789819773466 |
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_aSpringer Tracts in Nature-Inspired Computing, _x2524-5538 _971076 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-7344-2 |
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| 912 | _aZDB-2-SXIT | ||
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