the proceedings contain 26 papers. the topics discussed include: underwater aquaculture object contour detection dataset with benchmarks;the detection of foreign objects on coal mine conveyor belts based on semi-super...
ISBN:
(纸本)9798400709647
the proceedings contain 26 papers. the topics discussed include: underwater aquaculture object contour detection dataset with benchmarks;the detection of foreign objects on coal mine conveyor belts based on semi-supervised learning;abnormal cable detection at the bottom of high-speed train using improved Yolov8;research on image edge detection algorithms based on fractional-order differentiation;weakly supervised salient object detection via hybrid pseudo labels;region feature-guided automated seed selection region growing method for chip-surface-defect detection;enhanced multi-modal heart segmentation approach based on SWIN-transformer for small datasets;blind image quality assessment based on human visual perception;and hybrid loss and 3D convolutional multilayer perceptron for hyperspectral images classification with noisy labels.
the proceedings contain 29 papers. the topics discussed include: mixed reality smart glasses for local cultural learning: a case representation of Kavalan traditional culture;domain-specific adaptation for enhanced ga...
ISBN:
(纸本)9798400716829
the proceedings contain 29 papers. the topics discussed include: mixed reality smart glasses for local cultural learning: a case representation of Kavalan traditional culture;domain-specific adaptation for enhanced gait recognition in practical scenarios: benchmarking cross-domain gait recognition for practical applications on a novel real-world dataset;a hierarchical underwater acoustic target recognition method based on transformer and transfer learning;a transfer function model for eye rotation movement and its parameter identification;cancer cytoplasm segmentation from cell image based on transfer learning;exposure-based contrast enhancement method for low contrast images using the entropy curve;underwater fish tracking algorithm based on vibe detection and covariance matrix;and underwater image enhancement using image dehazer and multiscale retinex.
the proceedings contain 86 papers. the topics discussed include: robust real-time monitoring of complex human activities using multi modal video analytics;a robust approach for classifying laparoscopic video distortio...
ISBN:
(纸本)9798331506520
the proceedings contain 86 papers. the topics discussed include: robust real-time monitoring of complex human activities using multi modal video analytics;a robust approach for classifying laparoscopic video distortions using ResNet-50;enhancing x-ray image classification through neural architecture;revolutionary MRI imaging for Alzheimer’s: cutting-edge GANs and vision transformer solutions;advanced deep learning strategies for breast cancer image analysis;identifying surgical instruments in pedagogical cataract surgery videos through an optimized aggregation network;enhancing auxiliary cancer classification task for multi-task breast ultrasound diagnosis network;and bioinspired computer vision for effective extended reality applications.
the proceedings contain 40 papers. the topics discussed include: comparing linear and non-linear transformation of speech;an adaptive multipath mitigation architecture for GPS system;utilization of interactive interne...
ISBN:
(纸本)9789604741144
the proceedings contain 40 papers. the topics discussed include: comparing linear and non-linear transformation of speech;an adaptive multipath mitigation architecture for GPS system;utilization of interactive internet in high education;laser scanner surveying techniques aiming to the study and the spreading of recent architectural structures;on using kullback leibler distance to estimate vector quantization performance;towards a comprehensive 3D dynamic facial expression database;measuring the preferred learning style;advanced interfaces of interactions with virtual organs for surgical pre-operative planning;main types of attacks in wireless sensor networks;analytical investigation of the performance of packet-level FEC techniques in VoIP communications;and towards providing low-risk and economically feasible network data transfer services.
the proceedings contain 34 papers. the topics discussed include: two-stage attention-based fusion neural network for image-text sentiment classification;a two-stage refinement network for nuclei segmentation in histop...
ISBN:
(纸本)9781450387415
the proceedings contain 34 papers. the topics discussed include: two-stage attention-based fusion neural network for image-text sentiment classification;a two-stage refinement network for nuclei segmentation in histopathology images;a novel method for extracting frequency line on Lofargram based on feature function;low-light image enhancement via transformer-based network;a fragile watermarking algorithm based on multiple watermarking;performance of domain adaptation schemes in video action recognition using synthetic data;two-stage self-supervised learning for facial action unit recognition;deep learning-based real-time activity recognition with multiple inertial sensors;fast image super-resolution based on multi-feature extraction network;and a study on the effect of video resolution on the quality of sound recovered using the visual microphone.
the proceedings contain 25 papers. the topics discussed include: text detection and recognition in natural scenes based on two-dimensional attention;interpretation study of unknown oracle bones based on self-training ...
ISBN:
(纸本)9781450397810
the proceedings contain 25 papers. the topics discussed include: text detection and recognition in natural scenes based on two-dimensional attention;interpretation study of unknown oracle bones based on self-training learning;intelligent elevator safety supervision system combined with battery car identification;video-based person re-identification method based on attention and feature fusion;freshness recognition of fruit and vegetable images using GANs series data augmentation;recapture detection to fight deep identity theft;a comparative study of the performance of personnel detection based on visible and infrared images;continual learning based ship detection in multiple weathers;novel approaches of abdominal computed tomography image super resolution based on deep residual learning;and image-based fashion recommendation with attention to users’ interests.
A novel approach to processing electroencephalography (EEG) signals has emerged, leveraging the utilization of signalimages. the application of deep learning techniques in bypassing complex signal and image processin...
详细信息
ISBN:
(纸本)9783031803543;9783031803550
A novel approach to processing electroencephalography (EEG) signals has emerged, leveraging the utilization of signalimages. the application of deep learning techniques in bypassing complex signal and imageprocessing tasks has generated significant interest in this field. However, challenges remain in signalimageprocessing, particularly in handling significant features and image sizes. this study presents a comprehensive investigation of EEG motor imagery signalprocessing, focusing on the classification of three tasks: eating, drinking, and seeking assistance. Fast Fourier Transform (FFT) is employed to extract signalimage features, which are subsequently utilized in a deep learning framework. EEG data were collected from five subjects, and four transfer functions of deep learning models, namely VGG16, VGG19, ResNet50, and ResNet101, were employed for training and classification purposes. the performance of the four models was meticulously evaluated and compared. Notably, VGG16 exhibited superior performance in accurately classifying the EEG motor imagery tasks, achieving an impressive accuracy of 90%, sensitivity of 84%, and specificity of 92%. In conclusion, this study underscores the efficacy of EEG signalimageprocessingthrough deep learning-based classification techniques. the findings highlight the potential of utilizing signalimages in EEG analysis for motor imagery tasks, thereby contributing to the advancement of brain-computer interface technology and enhancing our understanding of neural dynamics.
the proceedings contain 33 papers. the topics discussed include: dangerous goods detection in x-ray security inspection images based on improved YOLOv7;a lightweight anchor-free detector using cross-dimensional intera...
ISBN:
(纸本)9798400709272
the proceedings contain 33 papers. the topics discussed include: dangerous goods detection in x-ray security inspection images based on improved YOLOv7;a lightweight anchor-free detector using cross-dimensional interactive feature balance for SAR ship detection;network intrusion detection based on federated learning with inherited private models;deep learning-based experimental system design for fatigue driving detection;combined classification of hyperspectral and LiDAR data based on dual-channel cross-transformer;a video classification algorithm based on visual-audio cross-attention;research on hyperspectral image classification based on improved deep cross-domain few-shot learning;multi-object detection and classification in construction sites based on YOLOv5;and joint classification of multi-source remote sensing data based on multi-scale features and attention mechanism.
the proceedings contain 28 papers. the topics discussed include: human activity role identification using feature vector and encoding techniques on natural language sentences;access control, biometrics, and the future...
ISBN:
(纸本)9781450398381
the proceedings contain 28 papers. the topics discussed include: human activity role identification using feature vector and encoding techniques on natural language sentences;access control, biometrics, and the future;real-time privacy preserving human activity recognition on mobile using 1DCNN-BiLSTM deep learning;empirical study of emotional state recognition using multimodal fusion framework;monitoring application-driven continuous affect recognition from video frames;a human body part semantic segmentation enabled parsing for human pose estimation;automatic segmentation of pneumothorax in chest radiographs based on dual-task interactive learning method;transformer for hyperspectral image classification based on multi-feature learning;optimal parameter values for estimating rotational eye movement by using vascular images in the white part of the eyeball;and a computational investigation on precision autism and metabolic disorders: predictive machine learning for hepatic ailment classification.
the proceedings contain 28 papers. the topics discussed include: a lightweight pest detection algorithm based on the Pi-Net basic model;text image watermark detection based on improved YOLOv8 model;research and applic...
ISBN:
(纸本)9798400709630
the proceedings contain 28 papers. the topics discussed include: a lightweight pest detection algorithm based on the Pi-Net basic model;text image watermark detection based on improved YOLOv8 model;research and application of image detection technology of pear tree pests and pests;research on lightweight object detection algorithm for hand detection;an image region hierarchical encryption approach for edge intelligence perception;an algorithm for extracting edge feature points of point clouds based on plane segmentation and dimensionality reduction;ConMask-GNN: leveraging graph neural networks for enhanced knowledge graph completion in static contexts;and improved lion optimization algorithm for wavelet threshold method in ground-borehole transient electromagnetic signalprocessing.
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