{"product_id":"advances-in-computational-intelligence-9783032027276","title":"Advances in Computational Intelligence","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eExplainable and Interpretable Machine Learning (xAI) with a Focus on Applications\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Understanding of Latent spaces in a battery aging prediction model through eXplainable AI.\u003c\/p\u003e\u003cp\u003e.- Exploring brain lateralization using Tensor decomposition of EEG phase-amplitude coupling.\u003c\/p\u003e\u003cp\u003e.- Ethical Considerations in Artificial Intelligence and Machine Learning.\u003c\/p\u003e\u003cp\u003e.- Kolmogorov-Arnold Networks for the Development of Intrusion Detection Systems.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eGeneral Applications of AI\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Machine Learning based Screening for Psychological Distress using a Perceived Control Mobile App.\u003c\/p\u003e\u003cp\u003e.- Tobacco and Weed Segmentation from Remote Images Using Artificial Intelligence.\u003c\/p\u003e\u003cp\u003e.- A Hybrid ResNet50-LSTM Architecture for Video Sentiment Analysis.\u003c\/p\u003e\u003cp\u003e.- Towards a Framework that facilitates the Construction of Image Segmentation Models.\u003c\/p\u003e\u003cp\u003e.- TASER-Net: Transformer Based Speech Emotion Recognition.\u003c\/p\u003e\u003cp\u003e.- Experimental Analysis and Modeling of Electrochemical Oxygen Pump Cell ECOpump.\u003c\/p\u003e\u003cp\u003e.- Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning.\u003c\/p\u003e\u003cp\u003e.- Transfer Learning approach for prediction of maximum wave height in two locations of the Bay of Biscay: Bilbao and Cabo de Pe˜nas.\u003c\/p\u003e\u003cp\u003e.- Classifier fusion for the detection of defects from active thermography.\u003c\/p\u003e\u003cp\u003e.- Multimodal analysis of neuropsychological tests from EEG and fMRI data.\u003c\/p\u003e\u003cp\u003e.- Solid-waste Classification Using Deep Learning Fusion Model.\u003c\/p\u003e\u003cp\u003e.- Improving PV power prediction based on GRU and meteorological factors.\u003c\/p\u003e\u003cp\u003e.- Poisson Hamiltonian Neural Networks: Structure-Preserving Learning of Dynamical Systems.\u003c\/p\u003e\u003cp\u003e.- SEF-Net: A Hybrid Deep Learning Architecture for Multi-Step Forecasting in Sustainable Energy Markets.\u003c\/p\u003e\u003cp\u003e.- A new approach to detecting occupational diseases using time series.\u003c\/p\u003e\u003cp\u003e.- Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions.\u003c\/p\u003e\u003cp\u003e.- Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach.\u003c\/p\u003e\u003cp\u003e.- Optimal malware mitigation in IoT networks: A comparative study of Neural ODEs and Pontryagin’s maximum principle.\u003c\/p\u003e\u003cp\u003e.- Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications.\u003c\/p\u003e\u003cp\u003e.- A Short Analysis of Hybrid Frameworks Based on Self-Organizing Maps to Improve Traditional Systems.\u003c\/p\u003e\u003cp\u003e.- Comparative Performance of Convolutional Neural Networks and Vision Transformers for Quality Assurance of a Welding Process.\u003c\/p\u003e\u003cp\u003e.- A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based.\u003c\/p\u003e\u003cp\u003e.- Power Prediction System for Photovoltaic Panels Using Artificial Intelligence.\u003c\/p\u003e\u003cp\u003e.- Towards safer hydrogen infrastructure: anomaly detection in synthetic hydrogen dispensing data.\u003c\/p\u003e\u003cp\u003e.-\u003cstrong\u003e Machine Learning for 4.0 Industry Solutions\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-Processing.\u003c\/p\u003e\u003cp\u003e.- Dimensionality Reduction and Outlier Analysis for the NF-ToN-IoT Cybersecurity Dataset.\u003c\/p\u003e\u003cp\u003e.- Data-Driven All-Optical Magnetometry: A Comparative Evaluation of Regression Models Using NV Center Fluorescence Lifetimes.\u003c\/p\u003e\u003cp\u003e.- Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eMachine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Symmetrical Current Flow Reconstruction for Sector-shaped Multi-Wire Cables using Machine Learning.\u003c\/p\u003e\u003cp\u003e.- Comparison of Multiclass Classification on Impedance Spectra to Estimate the State of Charge of Zinc-Air Batteries.\u003c\/p\u003e\u003cp\u003e.- Edge Machine Learning for All-Optical Fluorescence Lifetime-Based Sensing With NV Centers.\u003c\/p\u003e\u003cp\u003e.- Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data.\u003c\/p\u003e\u003cp\u003e.- Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers.\u003c\/p\u003e\u003cp\u003e.- Improved Post Processing Model for Photovoltaic Power Forecasting based on Clustering.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eNew and future advances in BCI-based Spellers\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- An event-related potential BCI speller using a wearable, single-channel EEG headset with electrodes on the forehead.\u003c\/p\u003e\u003cp\u003e.- A Framework for Controlling NV Centers with OPX+: Design, Implementation, and Applications.\u003c\/p\u003e\u003cp\u003e.- Exploring Code-Modulated Visual Evoked Potentials Spellers in Realistic Scenarios.\u003c\/p\u003e\u003cp\u003e.- Towards Secure Transaction Authentication Using a cVEP-Based BCI.\u003c\/p\u003e\u003cp\u003e.- Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs.\u003c\/p\u003e\u003cp\u003e.- Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance.\u003c\/p\u003e\u003cp\u003e.- BCI with Intuitive Object Control based on Code-Modulated Visual Evoked Potentials.\u003c\/p\u003e\u003cp\u003e.- Exploring the integration of c-VEP-based BCI spellers in mixed reality: a pilot study.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eSocial and Ethical aspects of AI\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Quantitative and qualitative evaluation on local explainability models for anomaly detection algorithms.\u003c\/p\u003e\u003cp\u003e.- Bias and Fairness in NLP: Addressing Social and Cultural Biases.\u003c\/p\u003e\u003cp\u003e.- Trustworthy AI Benchmark for Responsible Smart Grid as Critical Infrastructure.\u003c\/p\u003e\u003cp\u003e.- TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering.\u003c\/p\u003e\u003cp\u003e.- Implications of Human+Machine Systems as Critical Infrastructures under Sustainable Development Goals.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":51864325587287,"sku":"9783032027276","price":123.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783032027276.jpg?v=1759921870","url":"https:\/\/bookcurl.com\/products\/advances-in-computational-intelligence-9783032027276","provider":"Book Curl","version":"1.0","type":"link"}