the proceedings contain 98 papers. the topics discussed include: multi-scale channel attention for Chinese scene text recognition;recognition of human walking motion using a wearable camera;an efficient lightweight sp...
ISBN:
(纸本)9781450397056
the proceedings contain 98 papers. the topics discussed include: multi-scale channel attention for Chinese scene text recognition;recognition of human walking motion using a wearable camera;an efficient lightweight spatio-temporal attention module for action recognition;rice disease recognition and feature visualization using a convolutional neural network;vehicle re-identification based on multi-scale attention feature fusion;improving pedestrian attribute recognition with dual adaptive fusion attention;coordinate attention-enabled ship object detection with electro-optical image;few-shot object detection via refining eigenspace;object detection algorithm based on coordinate attention and context feature enhancement;Swin transformer with multi-scale residual attention for semantic segmentation of remote sensing images;drivable area segmentation in unstructured roads for autonomous vehicles based on multi-sensor fusion;and a brief comparison of deep learning methods for semantic segmentation.
the proceedings contain 31 papers. the special focus in this conference is on Soft computing and patternrecognition. the topics include: Deep quantile regression based wind generation and demand forecasts;recommendat...
ISBN:
(纸本)9783030493448
the proceedings contain 31 papers. the special focus in this conference is on Soft computing and patternrecognition. the topics include: Deep quantile regression based wind generation and demand forecasts;recommendation system for e-commerce by memory based and model based collaborative filtering;malware behavior profiling from unstructured data;customized hidden layered ann based patternrecognition technique for differential protection of power transformer;gaussian naïve bayes based intrusion detection system;traveler behavior cognitive reasoning mechanism;grading retinopathy of prematurity with feedforward network;fraudulent e-commerce website detection model using html, text and image features;sv-net: A deep learning approach to video based human activity recognition;sleep disorders prevalence studies in indian population;prediction models in healthcare using deep learning;comparison of global prevalence of sleep disorders in intellectually normal v/s intellectually disabled: A review;detecting learning affect in e-learning platform using facial emotion expression;computer aided system for nuclei localization in histopathological images using cnn;intrusion detection system for the iot: A comprehensive review;multi-objective symmetric fractional programming problem and duality relations under (C,Gf, α, ρ, d)- -Invexity over Cone Constraints;wind power intra-day multi-step predictions using pde sum models of polynomial networks based on the pde conversion and substitution withthe l-transformation;optimization of application-specific l1 cache translation functions of the leon3 processor;assessment of environmental and occupational stresses on physiological and genetic profiles of sample population;machine learning based framework for recognizing traffic signs on road surfaces;a feature extraction and selection method for eeg based driver alert/drowsy state detection.
the proceedings contain 88 papers. the special focus in this conference is on Soft computing and patternrecognition. the topics include: A Survey on Ensemble Multi-label Classifiers;semantic Type Detection in Tabular...
ISBN:
(纸本)9783031275234
the proceedings contain 88 papers. the special focus in this conference is on Soft computing and patternrecognition. the topics include: A Survey on Ensemble Multi-label Classifiers;semantic Type Detection in Tabular Data via Machine Learning Using Semi-synthetic Data;Handwritten Character recognition Using Deep LSTM Approach;two Phase Ensemble Learning Based Extractive Summarization for Short Documents;spider Monkey Based K-Means Dynamic Collaborative Filtering for Movie Recommendation Systems;Fuzzy Bi-GRU Based Hybrid Extractive and Abstractive Text Summarization for Long Multi-documents;a Genomic Signal Processing-Based Coronavirus Classification Model Using Deep Learning with Web-Based Console;study on Drowsiness Detection System Using Deep Learning;convolutional Neural Networks for Crack Detection on Flexible Road Pavements;sexism Classification in Social Media Using Machine Learning Algorithms;improving the Performance of Classification via Clustering on the Students’ Academic Performance using Stacking Algorithm;deep Learning and Machine Learning-Based Lung Nodule Detection Systems – An Analysis;breast Cancer Classification Techniques – An Investigation;A Study on Student Performance Prediction and Intervention Mechanisms in MOOC;Bi-stage QWOA-Based Efficient Feature Selection for Enhanced Depression Detection Based on Facial Cues;some Cases of Prediction and Inference with Uncertainty;interpretable Approaches to Predict Evapotranspiration;deep Convolutional Neural Network Model for Classifying Alzheimer’s Disease;comparative Hybrid Deep Convolutional Learning Framework with Transfer Learning for Diagnosis of Lung Cancer;Review of Supply Chain Management Operational Resilience, Risk, and Disruption in COVID-19 Pandemic;adaptable Fog computing Framework for Healthcare 4.0;ear Images Classification Based on Data Augmentation and ResNeXt50;machine Learning Approaches for Crop Identification from Remote Sensing Imagery: A Review;emotion recognition of Speech.
Gastrointestinal stromal tumor (GIST) is a common mesenchymal tumor in the gastrointestinal system. Its treatment outcomes and prognosis are closely related to mutations in the KIT11 gene locus. therefore, accurately ...
详细信息
Aiming at the existing deep learning-based fall detection model in multiple complex scenes such as multi-person scenes, long-distance scenes, and occlusion scenes, there are problems such as leakage detection and fals...
详细信息
To address the challenges of leakage, misdetection, and low accuracy caused by environmental complexity, object occlusion, and insufficient lighting in smoke and fire detection within warehouse scenarios, this paper p...
详细信息
the proceedings contain 8 papers. the special focus in this conference is on patternrecognition Applications and Methods. the topics include: Retinotopic Image Encoding by Samples of Counts;gesture recognition and...
ISBN:
(纸本)9783031245374
the proceedings contain 8 papers. the special focus in this conference is on patternrecognition Applications and Methods. the topics include: Retinotopic Image Encoding by Samples of Counts;gesture recognition and Multi-modal Fusion on a New Hand Gesture Dataset;Reduced Precision Research of a GAN Image Generation Use-case;similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks;perusal of Camera Trap Sequences Across Locations;preface.
I/O constitutes a significant portion of most of the application run-time. Spawning many such applications concurrently on an HPC system leads to severe I/O contention. thus, understanding and subsequently reducing I/...
详细信息
暂无评论