The proceedings contain 64 papers. The topics discussed include: noise-based logic versus quantum supremacy;modeling cerebro-vascular autoregulation after postural change perturbations;a review on emotion based harmfu...
ISBN:
(纸本)9798350398823
The proceedings contain 64 papers. The topics discussed include: noise-based logic versus quantum supremacy;modeling cerebro-vascular autoregulation after postural change perturbations;a review on emotion based harmful speech detection using machine learning;comparison of automatic question generation techniques;transparent slide detection and gripper design for slide transport by robotic arm;proposing a new model for estimation of oil rate passing through wellhead chokes in an Iranian heavy oil field;real-time multi-user 3D visualization software in medicine;evaluation of the use of an intelligent system in the calibration of a refined car-following model;inertial sensor-based movement classification with dimension reduction based on feature aggregation;and on the simulation of lower order control strategies for higher order systems.
We present an asymptotic improvement in the number of variables (n + m⌊log2(k − 1)⌋) required for state-of-the-art formulation of (max-)k-SAT problems when encoded as a quadratic unconstrained binary optimization (QUB...
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Electrical gating for modulating a wide variety of physical properties has enormous applications in semiconductor industry. The strong screening effect in metallic materials, in contrast, hinders them from being affec...
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ISBN:
(数字)9781665452250
ISBN:
(纸本)9781665452250
Electrical gating for modulating a wide variety of physical properties has enormous applications in semiconductor industry. The strong screening effect in metallic materials, in contrast, hinders them from being affected by applied field. In this work, we present the growth of high-quality epitaxial aluminum films by using molecular beam epitaxy. By scaling down the film thickness to a few nanometers, we have fabricated devices with 1-D and 2-D aluminum channels and observed resistance modulations by deploying the metal-insulator-metal stacked structure. The modulation effect, although quite weak, has been observed in almost all fabricated devices with reasonably small gate leakage. In this work, the correlation between the modulation effect, the film thickness, and the channel width will be discussed.
There are well-known issues in eliciting probabilities, utilities, and criteria weights in real-life decision analysis. In this paper, we examine automatic multi-criteria weight-generating algorithms which are seen as...
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The paper deals with the following scheduling problem. Jobs are served by a single machine. Each job is characterized by a positive weight, a release date, a due date. Servicing times are the same for all jobs. Preemp...
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The proceedings contain 48 papers. The special focus in this conference is on internationalconference on Artificial Intelligence and Soft Computing. The topics include: Transfer of Knowledge Among Instruments in...
ISBN:
(纸本)9783031425042
The proceedings contain 48 papers. The special focus in this conference is on internationalconference on Artificial Intelligence and Soft Computing. The topics include: Transfer of Knowledge Among Instruments in Automatic Music Transcription;the Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers;an Interpretable Two-Layered Neural Network Structure–Based on Component-Wise Reasoning;Viscosity Estimation of Water-PVP Solutions from Droplets Using Artificial Neural Networks and Image Processing;pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization;unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification;decentralized Federated Learning Loop with Constrained Trust Mechanism;Learning Activation Functions for Adversarial Attack Resilience in CNNs;Federated Learning for Human Activity Recognition on the MHealth Dataset;on Speeding up the Levenberg-Marquardt Learning Algorithm;image Classification Through Graph Neural Networks and Random Walks;bus Route Classification for Rural Areas Using Graph Convolutional Networks;expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation;transfer Learning from ImageNet to the Domain of Pigmented Nevi;towards Detecting Freezing of Gait Events Using Wearable Sensors and Genetic programming;CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to Use Deep Learning;authorship Attribution of Literary Texts Using Named Entity Masking and MaxLogit-Based Sequence Classification for Varying Text Lengths;Gates Are Not What You Need in RNNs;generating Image Captions in Polish Using Transformer Architecture;An Hybrid NSGA-II Algorithm for the Bi-objective Mobile Mammography Unit Routing Problem;reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes;controlled Refresh of the Population in
The proceedings contain 48 papers. The special focus in this conference is on internationalconference on Artificial Intelligence and Soft Computing. The topics include: Transfer of Knowledge Among Instruments in...
ISBN:
(纸本)9783031425073
The proceedings contain 48 papers. The special focus in this conference is on internationalconference on Artificial Intelligence and Soft Computing. The topics include: Transfer of Knowledge Among Instruments in Automatic Music Transcription;the Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers;an Interpretable Two-Layered Neural Network Structure–Based on Component-Wise Reasoning;Viscosity Estimation of Water-PVP Solutions from Droplets Using Artificial Neural Networks and Image Processing;pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization;unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification;decentralized Federated Learning Loop with Constrained Trust Mechanism;Learning Activation Functions for Adversarial Attack Resilience in CNNs;Federated Learning for Human Activity Recognition on the MHealth Dataset;on Speeding up the Levenberg-Marquardt Learning Algorithm;image Classification Through Graph Neural Networks and Random Walks;bus Route Classification for Rural Areas Using Graph Convolutional Networks;expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation;transfer Learning from ImageNet to the Domain of Pigmented Nevi;towards Detecting Freezing of Gait Events Using Wearable Sensors and Genetic programming;CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to Use Deep Learning;authorship Attribution of Literary Texts Using Named Entity Masking and MaxLogit-Based Sequence Classification for Varying Text Lengths;Gates Are Not What You Need in RNNs;generating Image Captions in Polish Using Transformer Architecture;An Hybrid NSGA-II Algorithm for the Bi-objective Mobile Mammography Unit Routing Problem;reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes;controlled Refresh of the Population in
In this paper we present an approach on how to design teaching practices for pre-service teachers that allow for learning, experimenting, reflecting, and designing own future lessons that include programming in divers...
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The capabilities demonstrated by Large Language Models (LLMs) inspire researchers to integrate them into industrial production and automation. In the field of Programmable logic Controller (PLC) programming, previous ...
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ISBN:
(数字)9798331527471
ISBN:
(纸本)9798331527488
The capabilities demonstrated by Large Language Models (LLMs) inspire researchers to integrate them into industrial production and automation. In the field of Programmable logic Controller (PLC) programming, previous researchers have focused on using LLMs to generate Structured Text (ST) language, and created automatic programming workflows based on it. The IEC 61131 graphic programming languages, which still has the most users [1], have however been overlooked. In this paper we explore using LLMs to generate graphic languages in ASCII art to provide assistance to engineers. Our series of experiments indicate that, contrary to what researchers usually think, it is possible to generate a correct Sequential Function Chart (SFC) for simple requirements when LLM is provided with several examples. On the other hand, generating a Ladder Diagram (LD) automatically remains a challenge even for very simple use cases. The automatic conversion between LD and SFC without extra information also fails when using prompt engineering alone.
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