Advances in Neural Networks – ISNN 2024

18th International Symposium on Neural Networks, Weihai, China, July 11–14, 2024, Proceedings

Häftad, Engelska, 2024

1 309 kr

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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. Adversarial Learning, Transfer Learning, and Deep Learning;

Produktinformation

Utgivningsdatum2024-07-11
Mått155 x 235 x 35 mm
Vikt972 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor633
FörlagSpringer Verlag, Singapore
ISBN9789819743988

Tillhör följande kategorier

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.