{"product_id":"advances-in-computational-intelligence-9783031755392","title":"Advances in Computational Intelligence","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Machine Learning.\u003c\/strong\u003e\u003cbr\u003e.- Towards Estimating Water Consumption in Semi-Arid Urban Landscaping: A Machine Learning Approach.\u003cbr\u003e.- Talent Identification in Football Using Supervised Machine Learning.\u003cbr\u003e.- Latent State Space Quantization for Learning and Exploring Goals.\u003cbr\u003e.- Predicting and Classifying Contaminants in Mexican Water Bodies.\u003cbr\u003e.- A ConvLSTM approach for the WorldClim Dataset in Mexico.\u003cbr\u003e.- Building Resilience Against Climate Change, Focusing on Predicting Precipitation with Machine Learning Models on Mexico's Metropolitan Area.\u003cbr\u003e.- Machine Learning Approaches for Water Quality Monitoring in the Desert State of Sonora.\u003cbr\u003e.- Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam.\u003cbr\u003e.- Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies.\u003cbr\u003e.- QUE MAX-TE-LATTE Personalized Product Recommendations in the  Coffee Shop Industry: Enhancing Customer Experience and Loyalty.\u003cbr\u003e.- Price Estimation for Pre-Owned Vehicles Using Machine Learning.\u003cbr\u003e.- Algotrading R2ED: A Machine Learning Approach.\u003cbr\u003e.- Analysis of Predictive Factors in University Dropout Rates Using Data Science Techniques.\u003cbr\u003e\u003cstrong\u003e.- Machine Learning.\u003c\/strong\u003e\u003cbr\u003e.- Incremental learning for object classification in a real and dynamic world.\u003cbr\u003e.- Easy for us, complex for AI: Assessing the coherence of generated realistic images.\u003cbr\u003e.- Comparative analysis of natural landmark detection in lunar terrain images.\u003cbr\u003e.- Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++.\u003cbr\u003e.- Smartphone-based Fuel Identification Model for Wildifire Risk Assessment using YOLOv8.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195419877719,"sku":"9783031755392","price":49.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advances-in-computational-intelligence-9783031755392","provider":"Book Curl","version":"1.0","type":"link"}