Engineering Applications of Neural Networks 23rd International Conference EAAAI EANN 2022 Chersonissos Crete Greece June 17 20 2022 in Computer and Information Science 1600 1st edition by Lazaros Iliadis 9783031082238 3031082230

Bio Inspired Modeling/Novel Neural Architectures

Evaluating Acceleration Techniques for Genetic Neural Architecture Search

Generation of Orthogonality for Feature Spaces in the Bio-inspired Neural Networks

Route Scheduling System for Multiple Self-driving Cars Using K-means and Bio-inspired Algorithms

SNNs Model Analyzing and Visualizing Experimentation Using RAVSim

The Effectiveness of Synchronous Data-parallel Differentiable Architecture Search

Classification/Clustering – Machine Learning

Automatic Accent and Gender Recognition of Regional UK Speakers

Complex Layers of Formal Neurons

Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods

On Forecasting Project Activity Durations with Neural Networks

On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes

Supporting Patient Nutrition in Critical Care Units

Convolutional/Deep Learning

An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon

Autoregressive Deep Learning Models for Bridge Strain Prediction

Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification

ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs

Synopsis of Video Files Using Neural Networks

TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks

Datamining/Learning/Autoencoders

A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph

Discriminant Analysis on a Stream of Features

Learning Image Captioning as a Structured Transduction Task

Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network

Trend and Seasonality Elimination from Relational Data

Deep Learning/Blockchain

A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations

An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning

Human Activity Recognition Under Partial Occlusion

Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19

Machine Learning for Medical Images/Genome Classification

A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data

Brain Tumour Segmentation on 3D MRI Using Attention V-Net

Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice

Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder

Reinforcement/Adversarial/Echo State Neural Networks

Echo State Networks in Data Marketplaces for Digital Content Creation

Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks

Multi-track Transfer Reinforcement Learning for Power Consumption Management of Building Multi-type Air-Conditioners

Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark

Robotics/Autonomous Vehicles, Photonic Neural Networks

A Robust, Quantization-Aware Training Method for Photonic Neural Networks

Improving Binary Semantic Scene Segmentation for Robotics Applications

Online Route Scheduling for a Team of Service Robots with MOEAs and mTSP Model

Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles

Text Classification/Natural Language

An Exploration of Semi-supervised Text Classification

A Custom State LSTM Cell for Text Classification Tasks

Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing

Text Analysis of COVID-19 Tweets

Back Matter