the proceedings contain 10 papers. the topics discussed include: a case study and characterization of a many-socket, multi-tier NUMA static neural compiler optimization via deep reinforcement learning;extending the LL...
ISBN:
(纸本)9780738110424
the proceedings contain 10 papers. the topics discussed include: a case study and characterization of a many-socket, multi-tier NUMA static neural compiler optimization via deep reinforcement learning;extending the LLVM/Clang framework for OpenMP metadirective support;deep learning-based approximate graph-coloring algorithm for register allocation;robust practical binary optimization at run-time using LLVM;really embedding domain-specific languages into C++;towards automated kernel fusion for the optimization of scientific applications;and introducing multi-level parallelism, at coarse, fine and instruction level to enhance the performance of iterative solvers for large sparse linear systems on multi- and many-core architecture.
the proceedings contain 27 papers. the topics discussed include: assessing uncertainty in space weather forecasting using quantile regression and complex nonlinear systems identification techniques;data engineering ch...
ISBN:
(纸本)9798350340921
the proceedings contain 27 papers. the topics discussed include: assessing uncertainty in space weather forecasting using quantile regression and complex nonlinear systems identification techniques;data engineering challenges in AI automation;advances in optical metrology: the impact of deep learning and quantum photonics;governmental data governance frameworks: a systematic literature review;an application-aware clustering strategy in vehicular ad hoc network;prospective phase frequency detector design architectures for RF transceiver applications;design and development of multi-terminal USV remote control system based on LoRa WAN;adaptable decision making chatbot system: unlocking interoperability in smart manufacturing;state estimation of complex networks with time-varying delays and model uncertainty based on graph neural network;and earthquake forecasting using optimized Levenberg–Marquardt back-propagation neural network.
the proceedings contain 27 papers. the special focus in this conference is on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. the topics include: Robust Selective Classification of Skin Lesion...
ISBN:
(纸本)9783030877347
the proceedings contain 27 papers. the special focus in this conference is on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. the topics include: Robust Selective Classification of Skin Lesions with Asymmetric Costs;confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis;novel Disease Detection Using Ensembles with Regularized Disagreement;automatic Placenta Abnormality Detection Using Convolutional Neural Networks on Ultrasound Texture;Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction;Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI;myelination of Preterm Brain Networks at Adolescence;A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI;Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss;accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic;Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation;CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI;Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes;assessment of Regional Cortical Development through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound;texture-Based Analysis of Fetal Organs in Fetal Growth Restriction;Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI;analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis;predicting Preterm Birth Using Multimodal Fetal Imaging;Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR;improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning.
the rapid development of technology has led to the widespread production of low-cost, high-computing mobile robots that have many applications in transport objects, healthcare, and agriculture. Using their sensors, mo...
详细信息
the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized...
ISBN:
(纸本)9798400708893
the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized remapping algorithms for km-scale global weather and climate simulations with icosahedral grid system;approximate block diagonalization of symmetric matrices using quantum annealing;QUBO formulation using inequalities for problems with complex constraints;low-latency communication in RISC-V clusters;flexible systolic array platform on virtual 2-D multi-FPGA plane;an efficient task-parallel pipeline programming framework;and task-based low-rank hybrid parallel Cholesky factorization for distributed memory environment.
Withthe development of 5G technology, mobile edge computing (MEC) is becoming a useful architecture, which is envisioned as a cloud extension version. Users within MEC system could save plenty of time on data transmi...
详细信息
the paper considers the privacy-preserving and communication constraints for multi-Agent systems. Firstly, a lightweight, decentralized, time-varying transformation method is introduced to prevent information leakage ...
详细信息
the proceedings contain 36 papers. the topics discussed include: Stackelberg game based resource allocation algorithm for federated learning in MEC systems;research on key technologies of high precision millimeter wav...
ISBN:
(纸本)9781665461467
the proceedings contain 36 papers. the topics discussed include: Stackelberg game based resource allocation algorithm for federated learning in MEC systems;research on key technologies of high precision millimeter wave radar ranging system;routing architecture design for the space-ground integrated information network;optimal game routing for UAV ad hoc networks in smart city;a framework for decoupling overlay SDN and computing virtualization;high angle stability frequency selective surface design and simulation;a continue-domain sparse-based channel estimation method in power tunnel communication;weight discretized bp algorithm based on synapse transistor with symmetric/asymmetric memory curve;joint rate and resource allocation for panoramic videos over future network;and research on intelligent monitoring of offshore wind turbine environment based on wireless transmission and distributed computing.
Based on complex data mining, all frequent itemsets are obtained by using the complete itemset prefix tree. According to the calculated confidence and support, the strong association rules of Chinese and international...
详细信息
the development of the Internet has brought great convenience to people's life, but it has also brought potential dangers, such as zero-day vulnerabilities and DoS attacks. Abnormal industrial control protocol ide...
详细信息
暂无评论