The proceedings contain 9 papers. The topics discussed include: a summary of research on model identification and target tracking of noncooperative target;a novel coarse-to-fine level set framework for ultrasound imag...
ISBN:
(纸本)9781510808898
The proceedings contain 9 papers. The topics discussed include: a summary of research on model identification and target tracking of noncooperative target;a novel coarse-to-fine level set framework for ultrasound image segmentation;direct rule extraction and classification with incremental neural network;employing intelligent information systems technology for a noble design of electronic working logs and implementation;acquisition of domain-specific patterns for single document summarization and information extraction;uncertainty measurement based on in-sim-dominance relation;variable neighborhood search for attribute reduction in rough set theory;a CSP for the enumeration of frequent-closed patterns in sequences;and a paper currency recognition system with novel features.
The proceedings contain 39 papers. The topics discussed include: FCD detection and display based on combination of cortical thickness and PET image;information interaction based two-stream neural networks for fatigue ...
ISBN:
(纸本)9781450372299
The proceedings contain 39 papers. The topics discussed include: FCD detection and display based on combination of cortical thickness and PET image;information interaction based two-stream neural networks for fatigue detection;an abnormal behavior detection method of video crowds and vehicles based on deep learning;an investigation of gradient as a feature cue for saliency detection;automatic detection of intracranial aneurysm from digital subtraction angiography with cascade networks;dangerous behaviors detection based on deep learning;combing color detection and neural networks for gland detection;and vehicle model recognition using SRGAN for low-resolution vehicle images.
The proceedings contain 63 papers. The special focus in this conference is on patternrecognition and Artificial intelligence. The topics include: Comparison of Persian Handwritten Digit recognition in Three Color Mod...
ISBN:
(纸本)9783030598297
The proceedings contain 63 papers. The special focus in this conference is on patternrecognition and Artificial intelligence. The topics include: Comparison of Persian Handwritten Digit recognition in Three Color Modalities Using Deep Neural Networks;application of Deep Learning in Handwritten Mathematical Expressions recognition;automating Stress Detection from Handwritten Documents;recognition of Cursive Caption Text Using Deep Learning - A Comparative Study on recognition Units;a Hybrid Multiple Classifier System Applied in Life Insurance Underwriting;generative Adversarial-Synergetic Networks for Anomaly Detection;multi-features Integration for Speech Emotion recognition;Analysis of Multi-class Classification of EEG Signals Using Deep Learning;a Deep Object Detection Method for Pineapple Fruit and Flower recognition in Cluttered Background;split and Merge: Component Based Segmentation Network for Text Detection;a New Credit Scoring Model Based on Prediction of Signal on Graph;characterizing the Impact of Using Features Extracted from Pre-trained Models on the Quality of Video Captioning Sequence-to-Sequence Models;prediction of Subsequent Memory Effects Using Convolutional Neural Network;secure Data Transmission of Smart Home Networks Based on Information Hiding;differences and Similarities Learning for Unsupervised Feature Selection;manifold-Based Classifier Ensembles;PD-DARTS: Progressive Discretization Differentiable Architecture Search;transformed Network Based on Task-Driven;a Blockchain-Based Online Game Design Architecture for Performance Issues;Predicting US Elections with Social Media and Neural Networks;gate-Fusion Transformer for Multimodal Sentiment Analysis;from Pixels to Random Walk Based Segments for Image Time Series Deep Classification;handwriting and Hand-Sketched Graphics Detection Using Convolutional Neural Networks;deep Active Learning with Simulated Rationales for Text Classification.
The proceedings contain 50 papers. The special focus in this conference is on Computational intelligence in patternrecognition. The topics include: Deep Learning-Based Automated Feature Engineering for Rice Leaf Dise...
ISBN:
(纸本)9789811524486
The proceedings contain 50 papers. The special focus in this conference is on Computational intelligence in patternrecognition. The topics include: Deep Learning-Based Automated Feature Engineering for Rice Leaf Disease Prediction;literature Survey on Log-Based Anomaly Detection Framework in Cloud;feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques;estimating Software Effort Using Neural Network: An Experimental Investigation;statistical Analysis on Efficacy of Yagya Therapy for Type-2 Diabetic Mellitus Patients Through Various Parameters;a Proposed Gene Selection Approach for Disease Detection;Deep Recurrent Neural Network (Deep-RNN) for Classification of Nonlinear Data;elephant Herding Optimization for Multiprocessor Task Scheduling in Heterogeneous Environment;analysis of Parallel M5P and Random Forest Regression for Visualization of Traffic Behavior;nearest Neighbor-Based Differential Evolution for Reconstructing Gene Regulatory Network;software Effort Estimation Using Particle Swarm Optimization: Advances and Challenges;modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks;semi-supervised Change Detection Technique on Remote Sensing Images Using Posterior Probabilities;Feature Engineering for Cardio-Thoracic Disease Detection from NIH Chest Radiographs;wireless Body Area Network: An Application of IoT and Its Issuses—A Survey;enhancing Security for Communication in Wireless Sensor Network;dimension Reduction of Microarray Data Using Gene Ontology and Correlation Filter;modified Contrast Enhancement Algorithm Using Numerical Integration Simpson’s Method;WHMS: An Efficient Wireless NoC Design for Better Communication Efficiency;data Hiding Based on Decagon-Shaped Shell;inference-Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis;lightweight Secure Routing Over Vehicular Ad Hoc Networks with Traffic Status.
The proceedings contain 261 papers. The topics discussed include: MBSE-based modeling technology for aircraft assembly tooling design demand;modeling and implementation of distributed rain water storage and utilizatio...
The proceedings contain 261 papers. The topics discussed include: MBSE-based modeling technology for aircraft assembly tooling design demand;modeling and implementation of distributed rain water storage and utilization;modeling free surface elevation around tandem piers of the longitudinal bridge by computational fluid dynamics;L1-finite difference method for inverse source problem of fractional diffusion equation;EMD and singular value difference spectrum based bearing fault characteristics extraction;research on a distribution-outlier detection algorithm based on logistics distribution data;activation detection algorithms for pattern division multiple access uplink grant-free transmission;application of enhanced whale adaptive threshold noise reduction method in transformer ultrasonic 3D imaging detection;human body shape reconstruction from binary image using convolutional neural network;a pricing mechanism which implements allocation in Shannon formula of home cellular wireless communication;and research on power consumption information acquisition system based on broadband power line carrier technology.
Facial expressions are an exciting study area within Computer apparition, affecting estimating, and human-calculating interaction. Our approach offers a distinct end-to-end network for attention-based self-governing f...
详细信息
The proceedings contain 172 papers. The topics discussed include: augmented reality in education: enhancing learning experiences;vision-based hand gesture recognition system for assistive communication using neural ne...
ISBN:
(纸本)9798331530389
The proceedings contain 172 papers. The topics discussed include: augmented reality in education: enhancing learning experiences;vision-based hand gesture recognition system for assistive communication using neural networks and GSM integration;advancing techniques for deepfake detection and evaluation: challenges and innovations;continual learning techniques to reduce forgetting: a comparative study;adaptive fuzzy logic framework for threat detection in distributed honeypot systems leveraging blockchain technology;decentralizing cybersecurity: a dynamic distributed honeypot system leveraging blockchain technology;skin lesion prediction and classification using deep learning methods;statistical analysis of social media and e-commerce data to get insights on consumer behavior;and analyzing the historical data and trends in stock market using machine learning.
HEMT devices have potential to handle the fast processing in applications such as real-time diagnostics utilizing the artificial-intelligence (AI) enhanced abilities. Along-with this HEMT devices can be extensively us...
详细信息
The necessity for accurate and dependable concrete compressive strength projections is critical to the structural integrity and longevity of building projects. Unlike traditional methods, this work looks into using ma...
详细信息
The necessity for accurate and dependable concrete compressive strength projections is critical to the structural integrity and longevity of building projects. Unlike traditional methods, this work looks into using machine learning algorithms to predict concrete's compressive strength in an effort to effort to increase efficiency and accuracy. The goal of the project is to apply mean squared error (MSE) techniques to optimize the prediction models. We go over the value of accurate predictions of compressive strength in the construction industry as well as the limitations of utilizing conventional methods. The study investigates how successfully these algorithms detect complex patterns in the data and adapt to different mix ratios, curing times compositions of concrete. We discover that the mean squared error is a trustworthy statistic to gauge prediction accuracy, which aids in solving the issue statistic of assessing model efficiency. The study emphasizes how important mean square error reduction is to achieving optimal prediction performance. machine learning model optimization techniques that are to like feature engineering and hyperparameter tuning are discussed in order to decrease the mean square error (MSE).
In order to enable more types of machine learning models to use zero-knowledge proofs to enhance their computational verifiability, this study proposes a zero-knowledge machine learning conversion method based on the ...
详细信息
暂无评论