{"product_id":"hybrid-artificial-intelligent-systems-9783032084644","title":"Hybrid Artificial Intelligent Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Agricultural and Environmental Monitoring.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Comparative Analysis of Cattle Behavior Across Intensive Dairy Farms through Dimensional Reduction Techniques.\u003c\/p\u003e\u003cp\u003e.- Environmental Sound Recognition for Human-Robot Interaction in Social Robots.\u003c\/p\u003e\u003cp\u003e.- A new Transformer-based hybrid model to forecast olive fruit fly using multimodal data.\u003c\/p\u003e\u003cp\u003e.- Infrared Driver Monitoring Systems - A Review, New Opportunities and Trends.\u003c\/p\u003e\u003cp\u003e.- Ambient Intelligence Integration in Vocational Education: Evaluating Smart Learning Environments for Digital Skills Development.\u003c\/p\u003e\u003cp\u003e.- Zero-shot and Few-shot Learning with Vision-Language Models for post-disaster Structural Damage Assessment.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Biomedical Applications.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms.\u003c\/p\u003e\u003cp\u003e.- An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and Classification.\u003c\/p\u003e\u003cp\u003e.- Interpretable ML for Stress Detection from Vital Signs Using SHAP.\u003c\/p\u003e\u003cp\u003e.- Learning from Normal Brain Activity for Automatic Detection of Photoparoxysmal Responses as Electroencephalographic Anomalies.\u003c\/p\u003e\u003cp\u003e.- Subsymbolic and Symbolic Pipeline for an Explainable EEG Authentication System.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Cybersecurity and Network Protection.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Analyzing DoS Attacks on CoAP Networks Using Low-Dimensional Latent Representations.\u003c\/p\u003e\u003cp\u003e.- An Approach to Anomaly Detection with Dynamic Threshold Definition for Real-World Environments.\u003c\/p\u003e\u003cp\u003e.- Loss Functions for Time Series Forecasting in Network Security Situation Awareness.\u003c\/p\u003e\u003cp\u003e.- A Hybrid Feature Selection Approach Using Filter-Wrapped Evaluation (FWE) for Attack Detection in SDN.\u003c\/p\u003e\u003cp\u003e.- RAG embeddings storage optimization through quantization and dimensionality reduction.\u003c\/p\u003e\u003cp\u003e.- Exploratory Visualization of IoT Attacks on the NF-CSE-CIC-IDS2018 dataset.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Data Mining and Decision Support Systems.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A Microservice System Architecture for Receiving ETL System.\u003c\/p\u003e\u003cp\u003e.- A Novel General Hybrid System for Data Feature Selection.\u003c\/p\u003e\u003cp\u003e.- Profiling Public Instagram Accounts with a Multimodal Vector for Hate Exposure Analysis.\u003c\/p\u003e\u003cp\u003e.- Symbolic Regressor: a interpretability tool for Non-Intrusive Load Monitoring.\u003c\/p\u003e\u003cp\u003e.- IoT Device Fingerprinting: Optimized with Data Diversity and Feature Selection for Computational Efficiency.\u003c\/p\u003e\u003cp\u003e.- Improvement of Multi-Label Self-Adjusting Memory kNN Classifier for Sparse and Class-Imbalanced Data Streams.\u003c\/p\u003e\u003cp\u003e.- HYBPARSIMONY-IDT: Hybrid Parsimonious Search for Interpretable Decision Trees.\u003c\/p\u003e\u003cp\u003e.- Analysis of Kernel Thinning for Scalable Support Vector Machines.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52195422208343,"sku":"9783032084644","price":62.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783032084644.jpg?v=1763647546","url":"https:\/\/bookcurl.com\/products\/hybrid-artificial-intelligent-systems-9783032084644","provider":"Book Curl","version":"1.0","type":"link"}