Junjun Zheng 研究室

主宰者：Junjun Zheng

広島大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（40 件）

[2026] A Fine-grained parametric bootstrap approach for NHPP-based software reliability modeling
DOI: https://doi.org/10.1016/j.jss.2026.112789
[2026] NCI-based Conditional Handover for High-Mobility 5G Scenarios Under Dual Connectivity
DOI: https://doi.org/10.1109/infocom59046.2026.11571747
[2025] A Note on Software Reliability Modeling Based on Hawkes Processes with Gamma Type Base Intensity
DOI: https://doi.org/10.1145/3779657.3779660
[2025] A Probabilistic Least Squares Estimation For NHPP-based Software Reliability Models with Time-domain Data
DOI: https://doi.org/10.1145/3779657.3779662
[2025] Enhancing Nonparametric Software Reliability Prediction via Multi-Kernel Local Linear Regression*
DOI: https://doi.org/10.1109/dasc68382.2025.00019
[2025] A Thinning-based Parametric Bootstrap Approach for Software Reliability Assessment
DOI: https://doi.org/10.1109/dasc68382.2025.00018
[2025] Self-Exciting Software Reliability Models with Pareto Base Intensity Function and Their Applications
DOI: https://doi.org/10.1109/qrs65678.2025.00049
[2025] Directional Handover Analysis with Stochastic Petri Net and Poisson Point Process in Heterogeneous Networks
DOI: https://doi.org/10.3390/math13030349
[2025] MDDを用いた多状態システムの解析に関する一考察 (不確実性環境下における数理的意思決定の進化)
[2024] Evaluating the A3RSRP Handover to Determine Optimal Performance in HetNet using Stochastic Petri Net
DOI: https://doi.org/10.1109/srse63568.2024.10772558

続きを表示（残り 30 件）

[2024] An Alternative Boosting-based Software Reliability Prediction Method
DOI: https://doi.org/10.1109/prdc63035.2024.00044
[2024] Model-Based Performance Evaluation of Dispatcher-Based Server Clusters
DOI: https://doi.org/10.1109/srse63568.2024.10772500
[2024] Comparison of Kernel-based Nonparametric and Parametric Regression Approaches for Software Reliability Prediction
DOI: https://doi.org/10.1145/3698062.3698067
[2024] On the sensitivity of stationary solutions of Markov regenerative processes
DOI: https://doi.org/10.1016/j.peva.2024.102397
[2023] Hierarchical Dependability Modeling with Multi-State Systems
DOI: https://doi.org/10.1109/prdc59308.2023.00043
[2023] Senti-EGCN: An Aspect-Based Sentiment Analysis System Using Edge-Enhanced Graph Convolutional Networks
DOI: https://doi.org/10.1109/dsa59317.2023.00103
[2023] Meta-Heuristic Algorithm for Constructing Higher-Index Covering Arrays for Combinatorial Interaction Testing
DOI: https://doi.org/10.1109/icstw58534.2023.00043
[2023] Sustained Intratumoral Administration of Agonist CD40 Antibody Overcomes Immunosuppressive Tumor Microenvironment in Pancreatic Cancer (Adv. Sci. 9/2023)
DOI: https://doi.org/10.1002/advs.202370054
[2023] Introducing Artificial/Computational Intelligence-Derived Non-Parametric Transfer Functions for the Implementation of Dynamic Circular Economy Decision-Making Systems
DOI: https://doi.org/10.3390/electronics12041050
[2023] Performance Evaluation of a Cloud Datacenter Using CPU Utilization Data
DOI: https://doi.org/10.3390/math11030513
[2022] An Efficient Transformer Encoder-Based Classification of Malware Using API Calls
DOI: https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00137
[2022] Analyzing the evolution trend of energy conservation and carbon reduction in transportation with promoting electrification in China
DOI: https://doi.org/10.1016/j.energy.2022.126024
[2022] Sensitivity analysis for a Markov regenerative software rejuvenation model
DOI: https://doi.org/10.1080/15326349.2022.2117195
[2022] Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks
DOI: https://doi.org/10.33889/ijmems.2022.7.3.022
[2022] Code Aggregate Graph: Effective Representation for Graph Neural Networks to Detect Vulnerable Code
DOI: https://doi.org/10.1109/access.2022.3216395
[2021] Firewall Traversal Method by Pseudo-TCP Encapsulation
DOI: https://doi.org/10.1587/transinf.2021edp7050
[2021] Performance Comparison of Training Datasets for System Call-Based Malware Detection with Thread Information
DOI: https://doi.org/10.1587/transinf.2021edp7067
[2021] Sensitivity Analysis of Software Rejuvenation Model with Markov Regenerative Process
DOI: https://doi.org/10.1109/issrew53611.2021.00038
[2021] Performance Evaluation of Heterogeneous Cellular Networks Using Stochastic Petri Nets
DOI: https://doi.org/10.23919/softcom52868.2021.9559100
[2021] Age replacement with Markovian opportunity process
DOI: https://doi.org/10.1016/j.ress.2021.107949
[2021] Parameter Estimation of Markovian Arrivals with Utilization Data
DOI: https://doi.org/10.1587/transcom.2021ebp3007
[2021] Performance evaluation of heterogenous cellular networks using stochastic Petri nets
[2021] NTIRE 2021 NonHomogeneous Dehazing Challenge Report
DOI: https://doi.org/10.1109/cvprw53098.2021.00074
[2021] API Call-Based Malware Classification Using Recurrent Neural Networks
DOI: https://doi.org/10.13052/jcsm2245-1439.1036
[2021] A Note on Computaion of System Reliability in a Lamp Problem
[2021] A note on local sensitivity analysis of stationary solutions for Markov regenerative processes
[2021] An efficient algorithm for computation of information matrix in phase-type fitting
DOI: https://doi.org/10.1080/15502287.2021.1916198
[2021] Availability Analysis of Software Systems with Rejuvenation and Checkpointing
DOI: https://doi.org/10.3390/math9080846
[2021] Genome-Wide Identification of WRKY Gene Family and Expression Analysis under Abiotic Stress in Barley
DOI: https://doi.org/10.3390/agronomy11030521
[2021] Circ_0004771 Accelerates Cell Carcinogenic Phenotypes via Suppressing miR-1253-Mediated DDAH1 Inhibition in Breast Cancer
DOI: https://doi.org/10.2147/cmar.s273783

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

まだデータがありません（学会データ連携後に表示）。

AI 要約（直近 5 年の研究成果）

外部リンク

関連研究室(8 件)

研究成果（40 件）

科研費（0 件）

所属学会・役職（0 件）