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Advances in Neural Networks - ISNN 2024 18th International Symposium on Neural Networks, Weihai, China, July 11-14, 2024, Proceedings
Title
Advances in Neural Networks - ISNN 2024 [electronic resource] : 18th International Symposium on Neural Networks, Weihai, China, July 11-14, 2024, Proceedings / edited by Xinyi Le, Zhijun Zhang.
ISBN
9789819743995
Edition
1st ed. 2024.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Physical Description
1 online resource (XVI, 633 p.) 266 illus., 218 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This volume constitutes the refereed proceedings of the 18th International Symposium on Neural Networks, ISNN 2024, held in Weihai, China, during 11-14, July 2024. The 59 full papers were carefully reviewed and selected from 82 submission. They are categorized in the following sections: Optimization Algorithms; Adversarial Learning, Transfer Learning, and Deep Learning; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Fault Diagnosis and Intelligent Industry & Bio-signal, Bioinformatics, and Biomedical Engineering.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 11, 2024
Series
Lecture Notes in Computer Science, 14827
Contents
Optimization Algorithms
A Continuous Time Algorithm with Quantified Event Triggered for Distributed Resource Allocation Optimization
A Novel Neurodynamic Approach to Bilevel Quadratic Programming
A Collaborative Neurodynamic Optimization Algorithm of Eco routing with Electricity Allocation for PHEVs
Energy Storage Scheduling Optimization Strategy Based on Deep Reinforcement Learning
A Penalty like Neurodynamic Approach to Convex Optimization Problems with Set Constraint
Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition
Adversarial Learning, Transfer Learning, and Deep Learning
Beyond Universal Transformer Block Reusing with Adaptor in Transformer for Automatic Speech Recognition
HiFi WaveGAN Generative Adversarial Network with Auxiliary Spectrogram Phase Loss for High Fidelity Singing Voice Generation
Efficient 3D View Synthesis from Single Image Utilizing Diffusion Priors
3D Multi scene Stylization Based on Conditional Neural Radiance Fields
A Novel Entropy Based Regularization for NeRF to View Synthesis in Few Shot Scenarios
PhonHuBERT a Phoneme Transcription Tool for Song Datasets
Audio LLM Activating the Capabilities of Large Language Models to Comprehend Audio Data
Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis
DiffMoCa Diffusion Model based Multi modality Cut and Paste
Transfer Learning Based Deep Learning Model for Corn Leaf Disease Classification
CSFuser A Cascade Siamese Fusion Architecture for RGB Infrared Object Detection
An Improved YOLOv8 Target Detection Algorithm and its Application in Tennis Ball Picking Robot
Deep Learning Based K Line Chart Recognition for Financial Quantitative Investment Analysis
Temporal Difference Enhancement Network for Driving Behavior Recognition
Signal, Image and Video Processing
A Temporal Consistency Learning Framework for Face Forgery Detection
Root Sparse Bayesian Learning Based 2D Off Grid DOA Estimation Algorithm for Massive MIMO Systems
A Robust Visual SLAM System in Dynamic Environment
CoYOLOv7 An Efficient Oil Spill Identification Network Based on SAR Images
A Visual Inertial SLAM Method for Fusing Point and Line Features
Classification of Coffee Leaves Using Smartphone Images and Convolutional Neural Networks
KeyAtNet Keystroke Signal Real time Eavesdropping based on Fourier Neural Operator
Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks
Contraband Detection Based on YOLOv7 Tiny XRay Image
DCFNet Dense Complementary Fusion for RGB Thermal Urban Scene Perception
An Improved YOLOv3 SPP Algorithm for Image Based Pothole Detection
Modeling, Analysis, and Implementation of Neural Networks
3W SLP A Conceptual Model of Three Way Single Layer Perceptrons
Mean Square Exponential Stability of Neutral Stochastic Delay Neural Networks
Circuit Implementation of Fixed time Zeroing Neural Network for Time varying Equality Constrained Quadratic Programming
Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures
Boundary Stabilization of Complex Coupled Hyperbolic Stochastic Systems
New Results on Input to State Stability of Memristor Based Inertial Neural Networks
A Modified Hopfield Model with Adjustable Activation Function for Buridan's Assay
Simplified GZN Gradient Zhang Neurodynamic Continuous Model and Discrete Algorithms Handling Temporally Varying ODLMVE Over Determined Linear Matrix Vector Equation
Simplified Gradient Zeroing Neuronet for Temporally Variant Convex Objective Function Minimization
Improved Memristive Binarized Neural Networks using Transformer DCBNN Architecture with CBAM Attention Mechanism
Light weight SA BNN High precision Olfactory Recognition of Binary Neural Networks
Control Systems, Robotics, and Autonomous Driving
Distributed Optimal Consensus Control for Heterogeneous Multi agent System with Disturbance
Research on Optimal Control Strategy for Infectious Disease Prevention and Control
A Learning Powered Model Predictive Control for Hybrid Electric Vehicles with Real world Driving Data
nuScenesComplex A More Rigorous Evaluation Framework for End to End Autonomous Driving Planning
Dual Criteria Robot Control: Optimization with End Effector Orientation Constraints
Fault Diagnosis and Intelligent Industry
Abnormal Vibration Fault Diagnosis of Reducer Based on Bayesian Network
Research on Fault Diagnosis of Surge Arresters Based on Support Vector Recurrent Neural Network
Research on Workstation Planning of Spacecraft Pulsating Assembly Lines Based on Improved Genetic Algorithm
A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis
Text Extraction and Structuring of Standard Maintenance Documents for Metallurgical Continuous Casting Equipments
Research on Job Scheduling Method for Metallurgical Equipment Manufacturing Workshop Based on Genetic Algorithm
Bio signal, Bioinformatics and Biomedical Engineering
A Deep Learning Approach for Single Cell Perturbation Prediction Using Small Molecule Chemical Structures
To Distinguish Internal Infestation in Wheat Kernels Using Biophoton Technology and CS BP Algorithm
Study of Segmentation Networks in the Detection of Ringspot Virus
Neural Networks for Classification of Immunofixation Electrophoresis Tests
CardiacRT NN Real Time Detection of Cardiovascular Disease Using Self Attention CNN LSTM for Embedded Systems. -Boosting Personalized Musculoskeletal Modeling with Deep Transfer Learning A Case Study.
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