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Condition: New. pp. 640.

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Taschenbuch. Condition: Neu. International Conference on Neural Computing for Advanced Applications | 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I | Haijun Zhang (u. a.) | Taschenbuch | xxiii | Englisch | 2023 | Springer | EAN 9789819958436 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. International Conference on Neural Computing for Advanced Applications | 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part II | Haijun Zhang (u. a.) | Taschenbuch | xxiv | Englisch | 2023 | Springer | EAN 9789819958467 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: Brand New. 640 pages. 9.25x6.10x1.29 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.

Paperback. Condition: New. 1st ed. 2023.

Condition: new. Questo è un articolo print on demand.

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics. 600 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics. 640 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.The 83 full papers and 1 short paper presented in.

Condition: New. Print on Demand pp. 640.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -żNeural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications: ESN-based Control of Bending Pneumatic Muscle with Asymmetric and Rate-dependent Hysteresis.- Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex.- Conditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction.- Design of dissolved oxygen online controller based on adaptive dynamic programming theory.- Ascent Guidance for Airbreathing Hypersonic Vehicle based on Deep Neural Network and Pseudo-Spectral Method.- Machine learning and deep learning for data mining and data-driven applications: Image Intelligence-Assisted Time-Series Analysis Method for Identifying 'Dispersed, Disordered, and Polluting' Sites Based on Power Consumption Data.- Non-intrusive Load Identiffcation Based on Steady-state V-I Trajectory.- Predictionof TP in effluent at multiple scales based on ESN.- Application of WOA-SVM based algorithm in tumor cell detection research.- MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features.- Self-Attention-Based Reconstruction for Planetary Magnetic Field.- Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection.- Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting.- Computational intelligence, nature-inspired optimizers, and their engineering applications: LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation.- Application of Bat Algorithm To Reduce Power Loss In Electrical Power Systems.- An enhanced subregion dominance relation for evolutionary many-objective optimization.- A stacked autoencoder based meta-learning model for global optimization.- Optimization Design of Photovoltaic Power Generation System under Complex Lighting Conditions.- Analysis of the impact of regional customer charging on the grid under the aggregator model.- Indicators directed multi-strategy artificial bee colony algorithm.- Energy-Efficient Cellular Offloading Optimization for UAV-Aided Network.- Artificial bee colony based on adaptive search strategies and elite selection mechanism.- Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization.- Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization.- Complementary environmental selection for evolutionary many-objective optimization.- An Investigation on Effects of Exemplars Selection to Convergence and Diversity in Large-Scale Particle Swarm Optimizer.- A LSTM assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization.- An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection.- Optimization Method Of Multi-Body Integrated Energy System Considering Air Compression Energy Storage.- Sequential Seeding Initialization for SNIC Superpixels.- Dynamic multi-objective prediction strategy for transfer learning based on imbalanced data classification.- A twin learning evolutionary algorithm for capacitated vehicle routing problem.- Research on Full-coverage Path Planning Method of Steel Rolling Shop Cleaning Robot.- Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property.- Design of particle swarm optimized fuzzy PID controller and its application in superheat degree control.- A multi-style interior floor plan design approach based on generative adversarial networks.- Linear Model-based Optimal VVC Intercoding Rate Control Scheme.- Detection and analysis of hangSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 600 pp. Englisch.

Condition: New. PRINT ON DEMAND pp. 640.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Deep learning-driven pattern recognition, computer vision and its industrial applications: Improved YOLOv5s Based Steel Leaf Spring Identification.- A bughole detection approach for fair-faced concrete based on improved YOLOv5.- A bughole detection approach for fair-faced concrete based on improved YOLOv5.- A Lightweight Sensor Fusion for Neraul Visual Inertial Odometry.- A Two-stage Framework for Kidney Segmentation in Ultrasound Images.- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios.- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios.- Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications.- Physical-property Guided End-to-End Interactive Image Dehazing Network.- A Clothing Classification Network with Manifold Structure Based on Second-order Convolution.- Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs.- Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm.- Natural language processing, knowledge graphs, recommender systems, and their applications: An Enhanced Model based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases.- Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-Attention Mechanism.- MAMF: A Multi-level Attention-based Multimodal Fusion Model for Medical Visual Question Answering.- ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-Intent Detection and Slot Filling.- A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection.- A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost.- Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security: Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis.- Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition.- Mechanical fault diagnosis of high-voltage circuit breakers via hybrid classifier with DS evidence fusion.- Multi-feature fusion and reinforcement model for high-speed train axle box bearing fault diagnosis under variable speed domain.- Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks.- Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2): Data-Model Intergrowth Makes Better Time Series Prediction.- Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans approach.- A Long Short-term MemoryModel for COVID-19 Forecasting Using High-efficiency Feature Representation.- STEPWISE FUSION TRANSFORMER FOR AFFECTIVE VIDEO CONTENT ANALYSIS.- An adaptive clustering approach for efficient data dissemination in IoV.- Strategy determination for multiple USVs: a min-max Q-learning approach.- Urban Emergency Logistics Planning optimization model considering priority under COVID-19.- Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks.- Applications of Data Mining, Machine Learning and Neural Computing in Language Studies: Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules.- Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching.- Student-Centered Education in Metaverse: TransformingSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 640 pp. Englisch.