The proceedings contain 60 papers. The topics discussed include: privacy-preservation robust federated learning with blockchain-based hierarchical framework;spatio-temporal hypergraph convolutional network based netwo...
ISBN:
(纸本)9798400716393
The proceedings contain 60 papers. The topics discussed include: privacy-preservation robust federated learning with blockchain-based hierarchical framework;spatio-temporal hypergraph convolutional network based network traffic prediction;hash function based on quantum walks with two-step memory;adversarial analysis and methods for math word problems;object tracking based on adaptive multi-template fusing;analysis of spatial-temporal variability and heterogeneity of soil moisture;can deep learning large language models be used to unravel knowledge graph creation?;binary and multi-label machinelearning models for discrete-time survival analysis: a case study to predict complications and mortality in Thai diabetic patients;power factor anomaly detection using data stream summaries;and consensus filter for distributed sensor networks with unknown colored noise.
The proceedings contain 21 papers. The special focus in this conference is on Longitudinal Disease Tracking and Modeling with Medical Images and data. The topics include: Disease Progression Modelling and Stratif...
ISBN:
(纸本)9783031845246
The proceedings contain 21 papers. The special focus in this conference is on Longitudinal Disease Tracking and Modeling with Medical Images and data. The topics include: Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson’s Disease Trajectory Modelling;back to the Future: Challenges of Sparse and Irregular Medical Image Time Series;Individualized Multi-horizon MRI Trajectory Prediction for Alzheimer’s Disease;towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling;segHeD: Segmentation of Heterogeneous data for Multiple Sclerosis Lesions with Anatomical Constraints;Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting;registration of Longitudinal Liver Examinations for Tumor Progress Assessment;Tracking Lesion Evolution Using a Boundary Enhanced Approach for MS Change Segmentation (BEAMS);a Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept;language Models Meet Anomaly Detection for Better Interpretability and Generalizability;A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation;predicting Human Brain States with Transformer;Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals;RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs;HyperMM: Robust Multimodal learning with Varying-Sized Inputs;HEMIT: H&E to Multiplex-Immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator;Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis;medPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis;predicting Stroke Through Retinal Graphs and Multimodal Self-supervised learning;multimodality for Diagnosis of Asian Choroidal Vasculopathy: Results from a Novel dataset and Deep-learning Experiments;multimodality Frequency Feature Customized learning for Pediatric Ventricu
Anomaly detection in power energy is crucial for energy efficiency. This aspect of electricity management assures for smooth functioning of vital sectors such as health, education and communications, particularly in d...
详细信息
Distributed photovoltaic power stations are small in scale, which can make full use of idle areas such as roofs to generate electricity and improve power output. However, this also brings problems of operation and mai...
详细信息
To address this problem of the efficiency in a V-BLAST system, an Innovative Power-restricted Allocation Algorithm in the V-BLAST System with the Adaptive Modulation using the Low Complexity was proposed in this paper...
详细信息
Load forecasting plays a key role in the data and energy integration system(DEIS), which can directly affect the economic benefits and safe operation of the system. In this paper, a short-term load forecasting model b...
详细信息
At present, Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in underwater visible light systems. Partial Transmit Sequence (PTS), as one of the effective techniques to suppress the Pe...
详细信息
At present, electromagnetic wave is mainly used for communication in mining area, but due to electromagnetic interference and other factors, the communication effect in the underground part of mining area is poor, and...
详细信息
In recent decades, Ghost Imaging (GI) has emerged as a focal point of research attention among scholars. The imaging quality of GI remains a challenge despite extensive research. In this study, we propose a new model ...
详细信息
Privacy preserving computing (PPC) allows participants with different local data to do computations without revealing their sensitive data. Hence, ensuring data security and privacy is essential for PPC. SM9 is a Chin...
详细信息
暂无评论