Complex & Intelligent Systems最新文献

{"title":"Nano-GICP tightly-coupled LIO SLAM with graph optimization","authors":"Qingyong Zhang, Zhennan Lin, Ruilin Dong, Qunxiong Zheng, Chengye Lin","doi":"10.1007/s40747-026-02277-5","DOIUrl":"https://doi.org/10.1007/s40747-026-02277-5","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"70 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147756127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electric van-based robot location-routing problem considering mobile charging and split delivery","authors":"Yi Liu","doi":"10.1007/s40747-026-02311-6","DOIUrl":"https://doi.org/10.1007/s40747-026-02311-6","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"249 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147756126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HL-MPT: multimodal prototype-guided transformer for hard-landing causal analysis","authors":"Leming Wu, Riquan Zhang, Hongmei Lin, Xinbin Zhao, Haiyang Wen, Huabo Sun, Yi Wang","doi":"10.1007/s40747-026-02310-7","DOIUrl":"https://doi.org/10.1007/s40747-026-02310-7","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"33 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147756177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal emergency vehicle prioritization through vision–audio fusion and attention-enhanced deep learning for smart traffic signal control","authors":"Vijay U. Rathod, Rohit Shitole, Kirti A. Patil, Nisha D. Patil, Madhuri P. Kumbhare, Pallavi Parllewar, Jibitesh Kumar Panda","doi":"10.1007/s40747-026-02309-0","DOIUrl":"https://doi.org/10.1007/s40747-026-02309-0","url":null,"abstract":"Efficient movement of emergency vehicles (EVs) remains a major challenge in densely populated cities, where visual occlusion, low lighting, and high ambient noise often limit the effectiveness of single-sensor detection systems. To address these constraints, this study presents a multimodal emergency-response framework that integrates camera-based object recognition with an attention-driven audio classification model. The proposed architecture employs a lightweight convolutional vision detector coupled with a CBAM-augmented ResNet18 audio network, enabling complementary detection capabilities even in adverse traffic conditions. Fusion at the decision layer ensures robust identification of EV sirens and vehicle signatures with minimal latency. Experimental results demonstrate significant performance improvements: the audio module achieved 100% precision, recall, and F1-score, while the vision module attained more than 99% mAP @0.5 and sustained real-time processing speeds of approximately 33 FPS. Compared to unimodal systems, the proposed method achieved notably higher recall and precision, enabling more reliable activation of adaptive traffic signaling. The integrated system substantially reduces intersection delays for emergency vehicles and offers a scalable solution for modern intelligent transportation infrastructures. This intelligent traffic signal prioritization framework directly supports Sustainable Cities and Communities by enabling faster emergency response and reducing urban congestion-related emissions.","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"4 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147751527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A lightweight adaptive feature-domain defogging dynamic convolutional network for object detection in foggy conditions","authors":"Mingkai Sun, Ruifeng Meng, Jinlei Wang, Chaoyi Dong, Yongsheng Qi","doi":"10.1007/s40747-026-02308-1","DOIUrl":"https://doi.org/10.1007/s40747-026-02308-1","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"39 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147739549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare","authors":"Nour Ghadban, Jonathan Cooper, Julien Le Kernec","doi":"10.1007/s40747-026-02296-2","DOIUrl":"https://doi.org/10.1007/s40747-026-02296-2","url":null,"abstract":"Artificial intelligence (AI) has emerged as a fundamental component in modern healthcare, particularly in noninvasive monitoring of vital signs using radar-based systems. However, algorithmic fairness concerns, such as gender bias, can undermine trust in these systems. This study investigates the impact of gender representation in training data on the accuracy and fairness of radar-based vital sign estimation. We trained machine-learning models on 60 dataset configurations–male-only, female-only, balanced, male-dominant and female-dominant–each containing 640 radar-derived samples (3200 total). Models trained on female-dominant data achieved the highest classification accuracy (94.5%) and lowest regression error (RMSE = 0.70), whereas male-only datasets performed worst (accuracy = 78.2%, RMSE = 1.80). Disparate impact analysis revealed up to a 16.5% performance advantage for female-skewed training data, and multiple fairness metrics, including disparate impact ratio and statistical parity difference, were employed to quantify bias across subgroups. To address these disparities, we implemented a multilevel mitigation framework integrating TimeGAN-based data augmentation, fairness-aware learning constraints, and threshold adjustment. This approach reduced the bias score from 0.0261 to 0.00005 ( <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$textit{p} &lt; 0.001$$</jats:tex-math> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>&lt;</mml:mo> <mml:mn>0.001</mml:mn> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> ) while maintaining a high F1 score ( <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$&gt; 0.98$$</jats:tex-math> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mo>&gt;</mml:mo> <mml:mn>0.98</mml:mn> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> ). Our results underscore the necessity of balanced and diverse datasets and demonstrate that incorporating fairness-aware strategies can yield equitable and trustworthy AI systems for clinical vital sign monitoring.","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"58 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147739548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FactorMoE: a framework with mixture-of-experts and attention to dynamically combine alpha factors in quantitative investment","authors":"Zeyu Zheng, Chengji Zhang, Zihao Xue, Shujuan Zheng, Xiaoshuai Zhang","doi":"10.1007/s40747-026-02307-2","DOIUrl":"https://doi.org/10.1007/s40747-026-02307-2","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"4 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147739547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Well path lightweight prediction model construction method for rotary steerable system based on composite knowledge distillation","authors":"Tianyu Wu, Yucai Shi, Lihui Xu, Hualin Liao, Wei Li","doi":"10.1007/s40747-026-02321-4","DOIUrl":"https://doi.org/10.1007/s40747-026-02321-4","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"21 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive spatio-temporal graphs with self-supervised pretraining for multi-horizon weather forecasting","authors":"Yao Liu","doi":"10.1007/s40747-026-02284-6","DOIUrl":"https://doi.org/10.1007/s40747-026-02284-6","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"96 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An $$L_{2,1}$$-regularized cascaded broad learning framework for robust anomaly detection in complex industrial metrology","authors":"Jianghao Lin, Zongze Wu, Zhigang Ren, Aimin Yang","doi":"10.1007/s40747-026-02316-1","DOIUrl":"https://doi.org/10.1007/s40747-026-02316-1","url":null,"abstract":"","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"23 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147708702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}