Advances in Neural Networks – ISNN 2024: 18th International Symposium on Neural Networks, Weihai, China, July 11–14, 2024, Proceedings(14827 Lecture Notes in Computer Science)

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.

Table of 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.