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https://ietresearch.onlinelibrary.wiley.com/toc/24682322/2024/9/5
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1
How to cite:
Deng, L., et al.: Deep learning in crowd counting: a survey. CAAI Trans. Intell. Technol. 9(5), 1043–1077 (2024). https://doi.org/10.1049/cit2.12241
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12241
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2
How to cite:
Dai, L., et al.: Edge-guided representation learning for underwater object detection. CAAI Trans. Intell. Technol. 9(5), 1078–1091 (2024). https://doi.org/10.1049/cit2.12325
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12325
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3
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Jiang, H., et al.: A fault-tolerant and scalable boosting method over vertically partitioned data. CAAI Trans. Intell. Technol. 9(5), 1092–1100 (2024). https://doi.org/10.1049/cit2.12339
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12339
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Jiang, Y., et al.: A self-learning human-machine cooperative control method based on driver intention recognition. CAAI Trans. Intell. Technol. 9(5), 1101–1115 (2024). https://doi.org/10.1049/cit2.12313
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12313
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5
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Dhananjaya, V., Ranathunga, S., Jayasena, S.: Lexicon-based fine-tuning of multilingual language models for low-resource language sentiment analysis. CAAI Trans. Intell. Technol. 9(5), 1116–1125 (2024). https://doi.org/10.1049/cit2.12333
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12333
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6
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Wang, Z.-S., et al.: Elite-guided equilibrium optimiser based on information enhancement: Algorithm and mobile edge computing applications. CAAI Trans. Intell. Technol. 9(5), 1126–1171 (2024). https://doi.org/10.1049/cit2.12316
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12316
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7
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Wang, Y., et al.: Causal inference for out-of-distribution recognition via sample balancing. CAAI Trans. Intell. Technol. 9(5), 1172–1184 (2024). https://doi.org/10.1049/cit2.12311
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12311
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How to cite:
Saghir, H., et al.: Prediction and Optimisation of Gasoline Quality in Petroleum Refining: The Use of Machine Learning Model as a Surrogate in Optimisation Framework. CAAI Trans. Intell. Technol. 9(5), 1185–1198 (2024). https://doi.org/10.1049/cit2.12324
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12324
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9
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Chang, R., et al.: 3D shape knowledge graph for cross-domain 3D shape retrieval. CAAI Trans. Intell. Technol. 9(5), 1199–1216 (2024). https://doi.org/10.1049/cit2.12326
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12326
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10
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Gao, P., et al.: Medical knowledge graph question answering for drug-drug interaction prediction based on multi-hop machine reading comprehension. CAAI Trans. Intell. Technol. 9(5), 1217–1228 (2024). https://doi.org/10.1049/cit2.12332
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12332
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11
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Sargolzaei, S., Mishmast Nehi, H.: Multi-objective interval type-2 fuzzy linear programming problem with vagueness in coefficient. CAAI Trans. Intell. Technol. 9(5), 1229–1248 (2024). https://doi.org/10.1049/cit2.12336
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12336
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12
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Liang, G., Lai, Z., Kong, H.: Support vector machine with discriminative low-rank embedding. CAAI Trans. Intell. Technol. 9(5), 1249–1262 (2024). https://doi.org/10.1049/cit2.12329
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12329
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13
How to cite:
Xuan, H., et al.: MH-HMR: human mesh recovery from monocular images via multi-hypothesis learning. CAAI Trans. Intell. Technol. 9(5), 1263–1274 (2024). https://doi.org/10.1049/cit2.12337
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12337
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14
How to cite:
Zhao, Z., et al.: Improving Diversity of Speech-Driven Gesture Generation with Memory Networks as Dynamic Dictionaries. CAAI Trans. Intell. Technol. 9(5), 1275–1289 (2024). https://doi.org/10.1049/cit2.12321
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12321
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15
How to cite:
Jin, X., et al.: Residual multimodal Transformer for expression-EEG fusion continuous emotion recognition. CAAI Trans. Intell. Technol. 9(5), 1290–1304 (2024). https://doi.org/10.1049/cit2.12346
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12346
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Zhang, M., Liu, J.: Join multiple Riemannian manifold representation and multi-kernel non-redundancy for image clustering. CAAI Trans. Intell. Technol. 9(5), 1305–1319 (2024). https://doi.org/10.1049/cit2.12347
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12347
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17
How to cite:
Zhang, Y., et al.: Bayesian attention-based user behaviour modelling for click-through rate prediction. CAAI Trans. Intell. Technol. 9(5), 1320–1330 (2024). https://doi.org/10.1049/cit2.12343
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12343
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18
How to cite:
Wang, Y., et al.: Btsc: binary tree structure convolution layers for building interpretable decision-making deep cnn. CAAI Trans. Intell. Technol. 9(5), 1331–1345 (2024). https://doi.org/10.1049/cit2.12328
原文链接：
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12328
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期刊简介
CAAI Transactions on Intelligence Technology（《智能技术学报（英文）》）是由重庆理工大学和中国人工智能学会共同创办的英文期刊，系中国人工智能学会会刊，是中国人工智能界创办的第一本综合性AI国际学术期刊，由英国工程技术学会IET和Wiley共同出版。重点刊登脑与认知、机器感知与模式识别、机器学习与计算智能、自然语言处理、大数据与知识工程、机器人与群体智能、智能系统与应用等领域的原创性成果。目前已被SCIE、Ei Compendex、Scopus、DOAJ、GoOA、INSPEC等国际知名数据库收录，入选2023年度中国科技期刊卓越行动计划高起点新刊项目。
收录情况
SCIE、Ei Compendex、Scopus、DOAJ
编委会主任
戴琼海院士 清华大学
编委会副主任
刘小康教授 重庆理工大学
杨强院士 香港科技大学
王国胤教授 重庆师范大学
彭熙教授 重庆理工大学
主编
李德毅院士 军事科学院
Cesare Alippi教授 米兰理工大学
执行主编
刘宏教授 北京大学
副主编
徐昕教授 国防科技大学
徐勇教授 哈尔滨工业大学（深圳）
张小川教授 重庆理工大学
期刊主页：
https://ietresearch.onlinelibrary.wiley.com/journal/24682322
投稿链接：
https://mc.manuscriptcentral.com/caai-theiet-cit
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