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Local feature matching from detector-based to detector-free: a survey Appl. Intell. (IF 5.3) Pub Date : 2024-03-15 Yun Liao, Yide Di, Kaijun Zhu, Hao Zhou, Mingyu Lu, Yijia Zhang, Qing Duan, Junhui Liu
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Incremental feature selection for large-scale hierarchical classification with the arrival of new samples Appl. Intell. (IF 5.3) Pub Date : 2024-03-15 Yang Tian, Yanhong She
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Learning evolving relations for multivariate time series forecasting Appl. Intell. (IF 5.3) Pub Date : 2024-03-15 Binh Nguyen-Thai, Vuong Le, Ngoc-Dung T. Tieu, Truyen Tran, Svetha Venkatesh, Naeem Ramzan
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Decoding human taste perception by reconstructing and mining temporal-spatial features of taste-related EEGs Appl. Intell. (IF 5.3) Pub Date : 2024-03-14
Abstract For humans, taste is essential for perceiving the nutrient content or harmful components of food. The current method of taste sensory evaluation relies on artificial sensory evaluation and an electronic tongue. The former has strong subjectivity and poor repeatability, and the latter is not sufficiently flexible. To decode people's objective taste perception, a strategy for acquiring and recognizing
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PCS-granularity weighted ensemble clustering via Co-association matrix Appl. Intell. (IF 5.3) Pub Date : 2024-03-13 Zhishan Wu, Mingjie Cai, Feng Xu, Qingguo Li
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Robust depth completion based on Semantic Aggregation Appl. Intell. (IF 5.3) Pub Date : 2024-03-12 Zhichao Fu, Xin Li, Tianyu Huai, Weijie Li, Daoguo Dong, Liang He
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A structure for predicting wind speed using fuzzy granulation and optimization techniques Appl. Intell. (IF 5.3) Pub Date : 2024-03-12 ShiWen Wang, Jianzhou Wang, Bo Zeng, Weigang Zhao
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Pose pattern mining using transformer for motion classification Appl. Intell. (IF 5.3) Pub Date : 2024-03-12 Seo-El Lee, Hyun Yoo, Kyungyong Chung
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Cross modality person re-identification via mask-guided dynamic dual-task collaborative learning Appl. Intell. (IF 5.3) Pub Date : 2024-03-08 Wenbin Shao, Yujie Liu, Wenxin Zhang, Zongmin Li
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Graph-based substructure pattern mining with edge-weight Appl. Intell. (IF 5.3) Pub Date : 2024-03-08 Md. Ashraful Islam, Chowdhury Farhan Ahmed, Md. Tanvir Alam, Carson Kai-Sang Leung
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One-stop multiscale reconciliation attention network with scribble supervision for salient object detection in optical remote sensing images Appl. Intell. (IF 5.3) Pub Date : 2024-03-08
Abstract Salient object detection in optical remote sensing images (RSI-SOD) faces significant challenges due to the unique characteristics of RSI imaging. Existing methods heavily rely on labor-intensive pixel-level annotations and overlook the potential of low-cost sparse annotations. Moreover, weakly supervised RSI-SOD methods introduce multiple sparse annotations and training processes, leading
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Tri-level attribute reduction based on neighborhood rough sets Appl. Intell. (IF 5.3) Pub Date : 2024-03-08
Abstract Tri-level attribute reduction is an interesting topic that aims to reduce the data dimensionality from different levels and granularity perspectives. However, existing research exhibits limitations, mainly in handling symbolic data, lack of effective reduction algorithms, and scarcity of data experiments and performance evaluations, which would be an obstacle to the further development of
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MFU-Net: a deep multimodal fusion network for breast cancer segmentation with dual-layer spectral detector CT Appl. Intell. (IF 5.3) Pub Date : 2024-03-08 Aisen Yang, Lulu Xu, Na Qin, Deqing Huang, Ziyi Liu, Jian Shu
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Advanced linguistic intuitionistic fuzzy Maclaurin symmetric means for MAGDM Appl. Intell. (IF 5.3) Pub Date : 2024-03-08 Jinjun Li, Minghao Chen
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A classification method of marine mammal calls based on two-channel fusion network Appl. Intell. (IF 5.3) Pub Date : 2024-03-06 Danyang Li, Jie Liao, Hongbo Jiang, Kailin Jiang, Mingwei Chen, Bei Zhou, Haibo Pu, Jun Li
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V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model Appl. Intell. (IF 5.3) Pub Date : 2024-03-06 Haoqin Yang, Ran Rang, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo, Jiaqi Sun
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Sample-level weighting for multi-task learning with auxiliary tasks Appl. Intell. (IF 5.3) Pub Date : 2024-03-05 Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven
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Crowdfunding project evaluation based on Fermatean fuzzy SAHARA three-way decision method Appl. Intell. (IF 5.3) Pub Date : 2024-03-05
Abstract Crowdfunding is a web-based financing scheme which aims to generate initial capital for startups. Nowadays, there are numerous programs which face the shortage in capital has already launching by crowdfunding. Meanwhile, there are always lots of potential investors who are puzzled by their choices and are thus cannot join them. In this paper, an assessment framework of crowdfunding projects
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Automated accurate insomnia detection system using wavelet scattering method using ECG signals Appl. Intell. (IF 5.3) Pub Date : 2024-03-04 Nishant Sharma, Manish Sharma, Hardik Telangore, U Rajendra Acharya
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River runoff causal discovery with deep reinforcement learning Appl. Intell. (IF 5.3) Pub Date : 2024-03-04 Junzhong Ji, Ting Wang, Jinduo Liu, Muhua Wang, Wei Tang
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Short-term traffic flow prediction based on SAE and its parallel training Appl. Intell. (IF 5.3) Pub Date : 2024-03-04 Xiaoxue Tan, Yonghua Zhou, Lu Zhao, Yiduo Mei
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A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification Appl. Intell. (IF 5.3) Pub Date : 2024-03-04 Meryem Altin Karagoz, O. Ufuk Nalbantoglu
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CDPNet: conformer-based dual path joint modeling network for bird sound recognition Appl. Intell. (IF 5.3) Pub Date : 2024-03-02 Huimin Guo, Haifang Jian, Yiyu Wang, Hongchang Wang, Shuaikang Zheng, Qinghua Cheng, Yuehao Li
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Incomplete multi-view clustering via self-attention networks and feature reconstruction Appl. Intell. (IF 5.3) Pub Date : 2024-03-02 Yong Zhang, Li Jiang, Da Liu, Wenzhe Liu
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Learning to rank influential nodes in complex networks via convolutional neural networks Appl. Intell. (IF 5.3) Pub Date : 2024-03-01 Waseem Ahmad, Bang Wang, Si Chen
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Two-view point cloud registration network: feature and geometry Appl. Intell. (IF 5.3) Pub Date : 2024-03-01
Abstract Rigid point cloud registration is a crucial upstream task in computer vision, whose goal is to align two misaligned point clouds using a rigid transformation. Existing methods, which directly utilize extracted point features for computing point relationships, are likely to result in a wrong-matching relationship since two or more similar feature points in the source point cloud easily correspond
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Deep dependence in hydroclimatological variables Appl. Intell. (IF 5.3) Pub Date : 2024-03-01 Taesam Lee, Jongsuk Kim
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ResMFuse-Net: Residual-based multilevel fused network with spatial–temporal features for hand hygiene monitoring Appl. Intell. (IF 5.3) Pub Date : 2024-03-01 Sohaib Asif, Xinyi Xu, Ming Zhao, Xuehan Chen, Fengxiao Tang, Yusen Zhu
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Assessing action quality with semantic-sequence performance regression and densely distributed sample weighting Appl. Intell. (IF 5.3) Pub Date : 2024-02-29 Feng Huang, Jianjun Li
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Multi-view key information representation and multi-modal fusion for single-subject routine action recognition Appl. Intell. (IF 5.3) Pub Date : 2024-02-29
Abstract Currently, human action recognition has witnessed remarkable progress, and its achievements have been applied to daily life. However, most methods extract features from only a single view within each modality, which may not comprehensively capture the diversity and complexity of actions. Moreover, the ineffective removal of redundant information can result in an inconspicuous description of
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UAV-enabled fair offloading for MEC networks: a DRL approach based on actor-critic parallel architecture Appl. Intell. (IF 5.3) Pub Date : 2024-02-29
Abstract Data processing is a key challenge for computationally limited Ground Users (GUs) in various applications. Unmanned Aerial Vehicles (UAVs) equipped with Multi-access Edge Computing (MEC) servers can assist GUs by offloading their computing tasks. However, existing work ignores fairness when multiple GUs compete for limited computing resources, which may result in UAV underserving certain GUs
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Joint data augmentation and knowledge distillation for few-shot continual relation extraction Appl. Intell. (IF 5.3) Pub Date : 2024-02-28 Zhongcheng Wei, Yunping Zhang, Bin Lian, Yongjian Fan, Jijun Zhao
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Self-Supervison with data-augmentation improves few-shot learning Appl. Intell. (IF 5.3) Pub Date : 2024-02-27 Prashant Kumar, Durga Toshniwal
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An equidistance index intuitionistic fuzzy c-means clustering algorithm based on local density and membership degree boundary Appl. Intell. (IF 5.3) Pub Date : 2024-02-27 Qianxia Ma, Xiaomin Zhu, Xiangkun Zhao, Butian Zhao, Guanhua Fu, Runtong Zhang
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Model-agnostic generation-enhanced technology for few-shot intrusion detection Appl. Intell. (IF 5.3) Pub Date : 2024-02-26 Junpeng He, Lingfeng Yao, Xiong Li, Muhammad Khurram Khan, Weina Niu, Xiaosong Zhang, Fagen Li
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Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting Appl. Intell. (IF 5.3) Pub Date : 2024-02-24
Abstract A wind power forecast is an useful support tool for planning and operating wind farm production, facilitating decisions regarding maintenance and load share. This paper presents an evaluation of a cooperative method, which uses a time series pre-processing strategy, artificial neural networks, and multi-objective optimization to forecast wind power generation. The proposed approach also evaluates
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Local structure learning for incomplete multi-view clustering Appl. Intell. (IF 5.3) Pub Date : 2024-02-24 Yongchun Wang, Youlong Yang, Tong Ning
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Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection Appl. Intell. (IF 5.3) Pub Date : 2024-02-23 Boyang Xu, Ali Asghar Heidari, Huiling Chen
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A general variation-driven network for medical image synthesis Appl. Intell. (IF 5.3) Pub Date : 2024-02-23 Yufei Chen, Xiaoyu Yang, Xiaodong Yue, Xiang Lin, Qi Zhang, Hamido Fujita
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Large-scale UAV swarm confrontation based on hierarchical attention actor-critic algorithm Appl. Intell. (IF 5.3) Pub Date : 2024-02-23 Xiaohong Nian, Mengmeng Li, Haibo Wang, Yalei Gong, Hongyun Xiong
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FRAnomaly: flow-based rapid anomaly detection from images Appl. Intell. (IF 5.3) Pub Date : 2024-02-23 Fran Milković, Luka Posilović, Duje Medak, Marko Subašić, Sven Lončarić, Marko Budimir
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TPE-MM: Thumbnail preserving encryption scheme based on Markov model for JPEG images Appl. Intell. (IF 5.3) Pub Date : 2024-02-23
Abstract Advances in mobile communication have enabled images to be shared more conveniently, and the consequent risk of privacy breaches has been increasingly emphasized. Previously, traditional image encryption algorithms were mostly adopted by individuals to encrypt plain images into noise-like meaningless cipher images. This type of algorithm provides security for image privacy protection but is
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UnifiedSC: a unified framework via collaborative optimization for multi-task person re-identification Appl. Intell. (IF 5.3) Pub Date : 2024-02-22 Tongzhen Si, Fazhi He, Penglei Li
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CAPPAD: a privacy-preservation solution for autonomous vehicles using SDN, differential privacy and data aggregation Appl. Intell. (IF 5.3) Pub Date : 2024-02-22
Abstract Autonomous Vehicles (AVs) and driverless cars which are equipped with communication capabilities, advanced sensing, and Intelligent Control Systems (ICS), aim to modernize the transportation system. It increases user satisfaction by enhancing personal safety, reducing infrastructure costs, decreasing environmental interruption, and saving time for passengers. On the other hand, in emergency
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New uncertainty measurement for a decision table with application to feature selection Appl. Intell. (IF 5.3) Pub Date : 2024-02-22 Gangqiang Zhang, Yan Song, Guangji Yu, Zhaowen Li
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Amplification methods to promote the attacks against machine learning-based intrusion detection systems Appl. Intell. (IF 5.3) Pub Date : 2024-02-21 Sicong Zhang, Yang Xu, Xinyu Zhang, Xiaoyao Xie
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DFAMNet: dual fusion attention multi-modal network for semantic segmentation on LiDAR point clouds Appl. Intell. (IF 5.3) Pub Date : 2024-02-21 Mingjie Li, Gaihua Wang, Minghao Zhu, Chunzheng Li, Hong Liu, Xuran Pan, Qian Long
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Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning Appl. Intell. (IF 5.3) Pub Date : 2024-02-21
Abstract Interpretable deep learning models are increasingly important in domains where transparent decision-making is required. In this field, the interaction of the user with the model can contribute to the interpretability of the model. In this research work, we present an innovative approach that combines soft decision trees, neural symbolic learning, and concept learning to create an image classification
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A multimodal fusion-based deep learning framework combined with local-global contextual TCNs for continuous emotion recognition from videos Appl. Intell. (IF 5.3) Pub Date : 2024-02-21 Congbao Shi, Yuanyuan Zhang, Baolin Liu
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Self-triggered adjustable prescribed performance control for stochastic multiagent systems with communication faults Appl. Intell. (IF 5.3) Pub Date : 2024-02-21 Wenzhe Wang, Liang Cao, Yingnan Pan, Hongru Ren, Hong Xue
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Multimodal sentiment analysis based on cross-instance graph neural networks Appl. Intell. (IF 5.3) Pub Date : 2024-02-21 Hongbin Wang, Chun Ren, Zhengtao Yu
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A light-weight quantum self-attention model for classical data classification Appl. Intell. (IF 5.3) Pub Date : 2024-02-21 Hui Zhang, Qinglin Zhao, Chuangtao Chen
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Multi-scale decision systems with test cost and applications to three-way multi-attribute decision-making Appl. Intell. (IF 5.3) Pub Date : 2024-02-20 Jiaming Wu, Danyue Liu, Zhehuang Huang, Jinjin Li
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Multi-exemplar affinity propagation clustering based on local density peak Appl. Intell. (IF 5.3) Pub Date : 2024-02-19 Shibing Zhou, Zhewei Chen, Rao Duan, Wei Song
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Bit-Close: a fast incremental concept calculation method Appl. Intell. (IF 5.3) Pub Date : 2024-02-19 Yunfeng Ke, Jinhai Li, Shen Li
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AMGCN: adaptive multigraph convolutional networks for traffic speed forecasting Appl. Intell. (IF 5.3) Pub Date : 2024-02-19 Chenghao Li, Yahui Zhao, Zhenguo Zhang
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A diverse/converged individual competition algorithm for computationally expensive many-objective optimization Appl. Intell. (IF 5.3) Pub Date : 2024-02-17 Jie Lin, Sheng Xin Zhang, Shao Yong Zheng
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WMBAL: weighted minimum bounds for active learning Appl. Intell. (IF 5.3) Pub Date : 2024-02-17
Abstract In the present study, aimed at reliably acquiring difficult samples for object detection models from massive raw data, we propose a novel difficult sample mining strategy based on active learning with Weighted Minimum Bounds (WMB). To accurately gauge the difficulty of samples for object detection models, we introduce the concept of weighted minimum bounds. Uniquely, the metric for measuring
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Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection Appl. Intell. (IF 5.3) Pub Date : 2024-02-17 Qihang Zhao, Yuzhe Zhang, Xiaodong Feng