Jianjun Zhao 研究室
主宰者：Jianjun Zhao
九州大学
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
関連研究室(8 件)
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研究成果（98 件）
- DOI: https://doi.org/10.1145/3819590
- DOI: https://doi.org/10.1145/3786582.3786813
- DOI: https://doi.org/10.1016/j.solener.2026.114718
- DOI: https://doi.org/10.3389/fimmu.2026.1815719
- DOI: https://doi.org/10.1117/12.3088409
- DOI: https://doi.org/10.1117/12.3088416
- DOI: https://doi.org/10.1111/mice.70126
- DOI: https://doi.org/10.1007/s10064-025-04490-x
- DOI: https://doi.org/10.1063/5.0275273
- DOI: https://doi.org/10.1109/icme59968.2025.11209805
続きを表示（残り 88 件）閉じる
- [2025] Quantum Concolic TestingDOI: https://doi.org/10.1145/3728926
- DOI: https://doi.org/10.1016/j.measurement.2025.117910
- [2025] Fault localization of AI-enabled cyber–physical systems by exploiting temporal neuron activationDOI: https://doi.org/10.1016/j.jss.2025.112475
- DOI: https://doi.org/10.1109/se4ads66461.2025.00010
- DOI: https://doi.org/10.1109/se4ads66461.2025.00008
- DOI: https://doi.org/10.1145/3720417
- DOI: https://doi.org/10.1007/s10064-025-04211-4
- DOI: https://doi.org/10.1109/tcad.2025.3550410
- DOI: https://doi.org/10.1007/s10664-025-10624-2
- DOI: https://doi.org/10.1002/cepa.3182
- DOI: https://doi.org/10.1016/j.compag.2025.110005
- DOI: https://doi.org/10.1145/3712002
- DOI: https://doi.org/10.1109/access.2025.3529217
- DOI: https://doi.org/10.1145/3656339
- DOI: https://doi.org/10.1145/3644389
- DOI: https://doi.org/10.1016/j.jss.2024.112000
- DOI: https://doi.org/10.1109/icassp48485.2024.10448394
- DOI: https://doi.org/10.1109/slt61566.2024.10832339
- DOI: https://doi.org/10.1145/3705307
- DOI: https://doi.org/10.3390/su16219310
- DOI: https://doi.org/10.1016/j.jss.2024.112236
- DOI: https://doi.org/10.3390/app14188413
- DOI: https://doi.org/10.3390/horticulturae10090988
- DOI: https://doi.org/10.1109/aitest62860.2024.00021
- DOI: https://doi.org/10.1145/3638529.3654078
- DOI: https://doi.org/10.1109/qsw62656.2024.00021
- DOI: https://doi.org/10.1109/qrs-c63300.2024.00043
- DOI: https://doi.org/10.1016/j.infsof.2024.107510
- DOI: https://doi.org/10.1016/j.jss.2024.112139
- [2024] The effects of impurities in carbide slag on the morphological evolution of CaCO3 during carbonationDOI: https://doi.org/10.1016/j.jenvman.2024.121361
- DOI: https://doi.org/10.1145/3643667.3648223
- DOI: https://doi.org/10.14283/jpad.2024.71
- DOI: https://doi.org/10.1016/j.jprocont.2023.103000
- DOI: https://doi.org/10.1016/j.knosys.2023.111328
- DOI: https://doi.org/10.1145/3611643.3616370
- DOI: https://doi.org/10.1080/10589759.2023.2274001
- DOI: https://doi.org/10.1109/qrs-c60940.2023.00017
- DOI: https://doi.org/10.1109/ase56229.2023.00196
- DOI: https://doi.org/10.1109/ase56229.2023.00153
- DOI: https://doi.org/10.1109/ase56229.2023.00195
- DOI: https://doi.org/10.1109/iai59504.2023.10327568
- DOI: https://doi.org/10.1109/iai59504.2023.10327551
- DOI: https://doi.org/10.1109/dsa59317.2023.00124
- DOI: https://doi.org/10.1145/3585005
- DOI: https://doi.org/10.1016/j.jss.2023.111805
- DOI: https://doi.org/10.1145/3597926.3598105
- DOI: https://doi.org/10.1109/qsw59989.2023.00018
- DOI: https://doi.org/10.1109/qsw59989.2023.00024
- DOI: https://doi.org/10.1109/qce57702.2023.10203
- [2023] Molecular and genetic regulations of fleshy fruit shape and lessons from<i>Arabidopsis</i>and riceDOI: https://doi.org/10.1093/hr/uhad108
- DOI: https://doi.org/10.1109/cvpr52729.2023.01181
- DOI: https://doi.org/10.1109/q-se59154.2023.00014
- DOI: https://doi.org/10.1109/q-se59154.2023.00013
- DOI: https://doi.org/10.1109/icse-seip58684.2023.00021
- DOI: https://doi.org/10.1016/j.patcog.2023.109629
- DOI: https://doi.org/10.1145/3594671.3594686
- DOI: https://doi.org/10.1109/saner56733.2023.00043
- DOI: https://doi.org/10.3390/su15032490
- DOI: https://doi.org/10.3389/fenrg.2022.1002373
- DOI: https://doi.org/10.48130/vr-2023-0025
- DOI: https://doi.org/10.23919/ascc56756.2022.9828192
- [2022] FalsifAI: Falsification of AI-Enabled Hybrid Control Systems Guided by Time-Aware Coverage CriteriaDOI: https://doi.org/10.5281/zenodo.6464099
- DOI: https://doi.org/10.1109/saner53432.2022.00147
- [2022] 青藏高原察达高速远程滑坡运动过程与形成机理DOI: https://doi.org/10.3799/dqkx.2021.205
- DOI: https://doi.org/10.4236/ajibm.2022.123018
- DOI: https://doi.org/10.2139/ssrn.4187653
- DOI: https://doi.org/10.1016/j.ecoenv.2022.114420
- DOI: https://doi.org/10.1109/qrs57517.2022.00075
- DOI: https://doi.org/10.1109/qrs-c57518.2022.00063
- DOI: https://doi.org/10.1109/3cbit57391.2022.00015
- DOI: https://doi.org/10.3390/pr10101937
- DOI: https://doi.org/10.1007/s10664-022-10221-7
- [2022] FalsifAI: Falsification of AI-Enabled Hybrid Control Systems Guided by Time-Aware Coverage CriteriaDOI: https://doi.org/10.1109/tse.2022.3194640
- [2022] Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signaturesDOI: https://doi.org/10.1016/j.jss.2022.111410
- DOI: https://doi.org/10.1016/j.patcog.2022.108864
- DOI: https://doi.org/10.1109/tdsc.2022.3182373
- [2021] Comparative Analysis on Classification Methods of Geological Disaster Susceptibility AssessmentDOI: https://doi.org/10.13203/j.whugis20190317
- DOI: https://doi.org/10.1016/j.measurement.2021.109591
- DOI: https://doi.org/10.1109/q-se52541.2021.00012
- DOI: https://doi.org/10.1109/q-se52541.2021.00011
- [2021] EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image DerainingDOI: https://doi.org/10.1609/aaai.v35i2.16239
- DOI: https://doi.org/10.1109/qrs-c55045.2021.00055
- DOI: https://doi.org/10.1109/ase51524.2021.9678908
- DOI: https://doi.org/10.1109/issre52982.2021.00030
- DOI: https://doi.org/10.1145/3468264.3473935
- DOI: https://doi.org/10.1109/tr.2021.3096332
- DOI: https://doi.org/10.1109/icme51207.2021.9428185
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