the proceedings contain 17 papers. the topics discussed include: image data augmentation method based on style transfer;FPGA hardware implementation of Q-learning algorithm with low resource consumption;a machine-lear...
ISBN:
(纸本)9781450396080
the proceedings contain 17 papers. the topics discussed include: image data augmentation method based on style transfer;FPGA hardware implementation of Q-learning algorithm with low resource consumption;a machine-learning pipeline for semantic-aware and contexts-rich video description method;multi-scale and kernel-predicting convolutional networks for Monte Carlo denoising;single image dehazing algorithm based on generative adversarial network;biparted hyperboloid and sphere intersection algorithm;optimal sensor deployment in complex 3D terrain surface;weakly supervised road garbage quantification system based on WCCA;online detection of character and 3D surface defect in steel rail production;a credit scoring ensemble framework using Adaboost and multi-layer ensemble classification;and an LSTM-based method for recognition and prediction of aircraft formation.
the proceedings contain 28 papers. the special focus in this conference is on Human Brain and Artificial Intelligence. the topics include: Uncovering Cognitive Taskonomy through Transfer Learning in Masked Autoen...
ISBN:
(纸本)9789819640003
the proceedings contain 28 papers. the special focus in this conference is on Human Brain and Artificial Intelligence. the topics include: Uncovering Cognitive Taskonomy through Transfer Learning in Masked Autoencoder-Based fMRI Reconstruction;Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal patterns;Effect of Music Training in Neural Responses to Emotional Speech Prosody: Insights from EEG and Brain Network Analysis;potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony;Exploring EEG-Based Neural Correlates of Multivariate Ordinal Emotion Representations;the Co-varying Multimodal pattern in Treatment-Resistant and Non-treatment-Resistant Schizophrenia;investigating the Dynamics of Seizure Neuroactivities Using Hidden Markov Model;suppressing Seizure via Optimal Electrical Stimulation to the Hub of Epileptic Brain Network;SVFormer: A Direct Training Spiking Transformer for Efficient Video Action recognition;BL-BERT: Extracting Body Language from Behavior Sequences in Freely Moving Mice;Benchmarking Neural Decoding Backbones Towards Enhanced On-Edge iBCI Applications;Enhanced Local Attention with Deep Neural Networks for EEG Decoding;Mirror Contrastive Loss Based Sliding Window Transformer for Subject-Independent Motor Imagery Based EEG Signal recognition;Active Urination Detection Using EEG Based on FBCNet;D2CAN: Domain-Guided Contrastive Adversarial Network for EEG-Based Cross-Subject Cognitive Workload Decoding;group-Specific Fusion Model and Its Application in Identifying Multimodal Co-varying Diagnostic patterns for Psychiatric Disorders;multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling;consistent Brain Age Difference in Childhood Autism Spectrum Disorder and its Subtypes;Brain-Aware Readout Layers in GNNs: Advancing Alzheimer’s Early Detection and Neuroimaging;TSICNet: Importance of Connectome Information for Epilepsy Classification;a Brain-Inspired Distr
the proceedings contain 33 papers presendted at a virtual meeting. the special focus in this conference is on Recent Trends in Image Processing and patternrecognition. the topics include: Real-Time Face recognition f...
ISBN:
(纸本)9783031070044
the proceedings contain 33 papers presendted at a virtual meeting. the special focus in this conference is on Recent Trends in Image Processing and patternrecognition. the topics include: Real-Time Face recognition for Organisational Attendance Systems;Harnessing Sustainable Development in Image recognitionthrough No-Code AI Applications: A Comparative Analysis;evaluating Performance of Adam Optimization by Proposing Energy Index;an Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Triplets;early Prediction of Complex Business Processes Using Association Rule Based Mining;A Framework for Masked-Image recognition System in COVID-19 Era;A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video;Detection of Male Fertility Using AI-Driven Tools;face Mask Detection Using Deep Hybrid Network Architectures;a Super Feature Transform for Small-Size Image Forgery Detection;UHTelHwCC: A Dataset for Telugu Off-line Handwritten Character recognition;inflectional and Derivational Hybrid Stemmer for Sentiment Analysis: A Case Study with Marathi Tweets;adaptive threshold-Based Database Preparation Method for Handwritten Image Classification;a Graph-Based Holistic recognition of Handwritten Devanagari Words: An Approach Based on Spectral Graph Embedding;Imagined Object recognition Using EEG-Based Neurological Brain Signals;a Fast and Efficient K-Nearest Neighbor Classifier Using a Convex Envelope;single Channel Speech Enhancement Using Masking Based on Sinusoidal Modeling;extraction of Temporal Features on Fibonacci Space for Audio Based Vehicle Classification;an Empirical Study of Vision Transformers for Cervical Precancer Detection;An Improved Technique for Preliminary Diagnosis of COVID-19 via Cough Audio Analysis;agricultural Field Analysis Using Satellite Hyperspectral Data and Autoencoder;Development of NDVI Prediction Model Using Artificial Neural Networks;time Series Forecasting of Soil Moisture Using Sa
Accurate bone fracture detection can be critical in the medical diagnosis process. this paper proposes a bone fracture detection approach based on deep learning using Convolutional Neural Networks (CNNs) with X-ray im...
详细信息
In an effort to deliver exceptional customer service, organizations are increasingly recognising the critical role that advanced language models (LLMs) play in the integration of CRM systems. this article explores the...
详细信息
these conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods; cluster analysis; syntactic methods; learn...
详细信息
these conference proceedings contain 228 papers of which 4 appear as abstracts. Two hundred-twelve papers are indexed separately. Topics covered include: statistical methods; cluster analysis; syntactic methods; learning algorithms; perceptual modeling; theoretical problems; image restoration and transformation; texture, region and shape; feature extraction and picture description; analysis of image sequence; scene analysis; character recognition; biomedical applications; remote sensing; industrial applications; speech; and special hardwares and systems.
this paper presents design of an electronic nose based on an array of aligned multi-walled carbon nanotubes (MWNT) ionization gas sensors and patternrecognition techniques for gas detection. the raw data, including d...
详细信息
ISBN:
(纸本)9781424447138
this paper presents design of an electronic nose based on an array of aligned multi-walled carbon nanotubes (MWNT) ionization gas sensors and patternrecognition techniques for gas detection. the raw data, including discharge voltages and currents, is acquired by measurement of sensor array response and transformed to the computer by peripheral circuit, and processed by Principal Components Analysis (PCA). Back-propagation neural networks (BPNN) are applied to determine gas varieties. Results demonstrate the developed electronic nose system is capable to identify target gases successfully and is promising for field applications.
Based on mathematical morphology method, the paper analyzed and calculated plaque area in the image of plaque bacteria though taking hough transform to extract complete outline of fat cells. TVB-N values in the proces...
详细信息
ISBN:
(纸本)9781424447138
Based on mathematical morphology method, the paper analyzed and calculated plaque area in the image of plaque bacteria though taking hough transform to extract complete outline of fat cells. TVB-N values in the process of pork Corruption is taken for a sequence of inputs of SOM neural network used for the cluster analysis of TVB-N values and dividing pork freshness to five classes. Complying with national standard and sensory test results, it achieve the results of the test to class the fork freshness.
A syntactic patternrecognition technique is described based upon a mathematical principle associated with finite sequences of symbols. the technique allows for fast recognition of patterns within strings, including t...
详细信息
ISBN:
(纸本)9783642040306
A syntactic patternrecognition technique is described based upon a mathematical principle associated with finite sequences of symbols. the technique allows for fast recognition of patterns within strings, including the ability to recognize expected symbols that are close to the desired symbols, and mutations as well as both local and global substring matching. this allowance of deviation permits sequences to be subject to error and still be recognized. Some examples are provided illustrating the technique.
暂无评论