Risultati della ricerca - fusion algorithm

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    An Agricultural Product Recommendation Algorithm Based on Fusion Representation di HUANG Yinglai, JI Yuchao, LIU Zhenbo

    Pubblicazione 2024-06-01

    This paper proposes a kind of recommendation algorithm for agricultural commodities with fusion representation, in response to the issue of unexpected results on agricultural product e-commerce platforms due to the strong seasonality and regionality of products, as well as the variable user behavior...

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    “...This paper proposes a kind of recommendation algorithm for agricultural commodities with fusion representation, in response to the issue of unexpected results on agricultural product e-commerce platforms due to the strong seasonality and regionality of products, as well as the variable user behaviors. ...”
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    Image fusion algorithm for the collaborative use of unmanned aerial vehicles di N. V. Levshonkov, I. M. Nafikоv, Y. V. Laryukhina

    Pubblicazione 2024-05-01

    Currently, the applicable scope of unmanned aircraft application is increasingly expanding. The promising field of unmanned aircraft enhancement is the implementation of some collaborative actions during controlled flight. This paper considers some issues of the group application of unmanned aerial...

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    “...Depending on the conditions of search operations, the image obtained by the synthetic vision system may require additional processing to use as intended. A fusion algorithm is proposed, which is characterized by adaptive adjustment of parameters in each frame individually for different image fragments. ...”
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    Multi-Target Detection Algorithm for Fusion Images Based on an Attention Mechanism di Zhenge Qu, Zhuoning Dong, Yuxin Guo, Hui Ren, Hongyang Fu

    Pubblicazione 2025-06-01

    Due to the inherent limitations of visible-light sensors, monitoring systems that rely solely on single-modal visible-light images exhibit reduced accuracy, posing safety concerns in applications such as autonomous driving. Infrared and visible-light image fusion technology addresses this issue by g...

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    Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms di Dongning WANG, Yueyang HUANG, Yuanbo SHI

    Pubblicazione 2025-04-01

    Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined...

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    Object Tracking Algorithm Based on Multi-Layer Feature Fusion and Semantic Enhancement di Jing Wang, Yanru Wang, Dan Yuan, Yuxiang Que, Weichao Huang, Yuan Wei

    Pubblicazione 2025-06-01

    The TransT object tracking algorithm, built on Transformer architecture, effectively integrates deep feature extraction with attention mechanisms, thereby enhancing the stability and accuracy of the algorithm. However, this algorithm exhibits insufficient tracking accuracy and boundary box drift whe...

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    VIO/GPS Fusion Positioning Algorithm of Substation Inspection Robot Based on EKF di ZHANG Guifeng, ZHANG Zhongxuan, ZHOU Chaorong, YU Zhilong

    Pubblicazione 2024-10-01

    With the development of the electric power industry, intelligent inspection systems for substations have been widely applied to ensure the safe operation of substations and maintain power supply quality. To address the issue of low localization accuracy in existing substation inspection robot naviga...

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    “...To address the issue of low localization accuracy in existing substation inspection robot navigation technologies, this paper proposes a fusion algorithm based on visual-inertial odometry and GPS using Extended Kalman Filtering (EKF). ...”
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    An Improved DHA Star and ADA-DWA Fusion Algorithm for Robot Path Planning di Yizhe Jia, Yong Cai, Jun Zhou, Hui Hu, Xuesheng Ouyang, Jinlong Mo, Hao Dai

    Pubblicazione 2025-06-01

    The advancement of mobile robot technology has made path planning a necessary condition for autonomous navigation, but traditional algorithms have issues with efficiency and reliability in dynamic and unstructured environments. This study proposes a Dynamic Hybrid A* (DHA*)–Adaptive Dynamic Window A...

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    Collaborative filtering recommendation algorithm based on hybrid clustering and user preferences fusion di Ma Tian, Yu Benguo, Zhang Jing, Song Wenai, Jing Yu

    Pubblicazione 2022-04-01

    Problems such as low recommendation efficiency and recommendation quality to be improved generally exist in the traditional collaborative filtering recommendation algorithm. In order to improve and solve these problems, the collaborative filtering recommendation algorithm integrates mixed clustering...

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    “...Problems such as low recommendation efficiency and recommendation quality to be improved generally exist in the traditional collaborative filtering recommendation algorithm. In order to improve and solve these problems, the collaborative filtering recommendation algorithm integrates mixed clustering with user interests and preferences, and the recommendation quality has been significantly improved after verification. ...”
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    Multi-Scale Attention Fusion Gesture-Recognition Algorithm Based on Strain Sensors di Zhiqiang Zhang, Jun Cai, Xueyu Dai, Hui Xiao

    Pubblicazione 2025-07-01

    Surface electromyography (sEMG) signals are commonly employed for dynamic-gesture recognition. However, their robustness is often compromised by individual variability and sensor placement inconsistencies, limiting their reliability in complex and unconstrained scenarios. In contrast, strain-gauge s...

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    Multimodal Fusion Image Stabilization Algorithm for Bio-Inspired Flapping-Wing Aircraft di Zhikai Wang, Sen Wang, Yiwen Hu, Yangfan Zhou, Na Li, Xiaofeng Zhang

    Pubblicazione 2025-07-01

    This paper presents FWStab, a specialized video stabilization dataset tailored for flapping-wing platforms. The dataset encompasses five typical flight scenarios, featuring 48 video clips with intense dynamic jitter. The corresponding Inertial Measurement Unit (IMU) sensor data are synchronously col...

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    Multi-source information fusion based underground autonomous mapping and localization method di DU Jun, LI Hang, LI Kun

    Pubblicazione 2025-06-01

    Due to the harsh environment in coal mines underground, mapping methods based on single-source odometry information are prone to issues such as drift, occlusion, and missing semantic features. Existing mainstream localization algorithms applied underground in coal mines often encounter localization...

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    Soggetti: “...multi-source information fusion...”
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    Research on APF-Dijkstra Path Planning Fusion Algorithm Based on Steering Model and Volume Constraints di Xizheng Wang, Gang Li, Zijian Bian

    Pubblicazione 2025-07-01

    For the local oscillation phenomenon of the APF algorithm in the face of static U-shaped obstacles, the path cusp phenomenon caused by the vehicle corner and path curvature constraints is not taken into account, as well as the low path safety caused by ignoring the vehicle volume constraints. Theref...

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    YOLO-v4 Small Object Detection Algorithm Fused With L-α di ZHANG Ning, YU Ming, REN Honge, AO Rui, ZHAO Long

    Pubblicazione 2023-02-01

    The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of low resolution and feature loss which leads to...

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    “... The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of low resolution and feature loss which leads to that many general algorithms cannot be directly applied to small object detection.The feature pyramid fusion can effectively combine the features of deep and shallow layers to enhance the performance.To solve the problem most models existing ignoring the imbalance of information during the feature fusion between adjacent layers, it is proposed to integrate the idea of fusion factor into the PANet of YOLOv4, use the fusion factor L-αto control the amount of information transmitted from the deep layer to the shallow, so as to effectively improve the efficiency of information fusion and enhance the ability of YOLO-v4 for small objects detection.With the addition of L-αin YOLO- V4 model, the experiment results show that the APtiny50and APsmall50on the TinyPerson are improved by 2.14% and 1.85% respectively, while the AP and APS on the MS COCO are separately increased by 1.4% and 2.7%.It is proved that this improved method is effective for small object detection with the evidence of better result than other small object detection algorithms....”
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    Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles di Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu

    Pubblicazione 2025-07-01

    Considering the complexity and variability inherent in maritime environments, path planning algorithms for navigation have consistently been a subject of intense research interest. Nonetheless, single-algorithm approaches often exhibit inherent limitations. Consequently, this study introduces a path...

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    Fruit-Fly-Optimized Weighted Averaging Algorithm for Data Fusion in MEMS IMU Array di Ting Zhu, Gao Peng, Jianping Li, Jiawei Xuan, Jingbei Tian

    Pubblicazione 2025-06-01

    The weighted averaging algorithm is a widely adopted high-efficiency data fusion approach for micro-electro-mechanical system (MEMS) inertial measurement unit (IMU) array, where the configuration of weighting coefficients plays a critical role in improving measurement accuracy. In this study, an opt...

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    Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology di Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

    Pubblicazione 2025-06-01

    This paper presents a multi-source data-driven hybrid path planning framework that integrates global A* search with local Deep Q-Network (DQN) optimization to address complex terrestrial routing challenges. By fusing ASTER GDEM terrain data with OpenStreetMap (OSM) road networks, we construct a stan...

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    An Improved Interpolation Algorithm for Surface Meteorological Observations via Fuzzy Adaptive Optimisation Fusion di Xiaoya Jiang, Xiong Xiong, Wenlan Wang, Xiaoling Ye, Xin Chen, Yihu Wang, Fangjian Zhang

    Pubblicazione 2025-07-01

    Meteorological observations are essential for climate modelling, prediction, early warning systems, decision-making processes, and disaster management. These observations are critical to societal development and the safeguarding of human activities and livelihoods. Spatial interpolation techniques p...

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    An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm di Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You

    Pubblicazione 2025-01-01

    Path tracking system is a key component in autonomous vehicles research. It is a challenge for a single controller to achieve accurate tracking in complex scenarios with dynamic curvatures and errors. Although methods based on dynamic models and optimization theory can improve tracking performance,...

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    Soggetti: “...ant colony optimization algorithm...”
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    Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention di Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

    Pubblicazione 2025-06-01

    In the realm of autonomous driving, the design and implementation of collaborative multi-task perception algorithms pose significant challenges. These challenges are primarily rooted in the need for real-time processing speeds, effective feature sharing among diverse tasks, and seamless information...

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    “...In the realm of autonomous driving, the design and implementation of collaborative multi-task perception algorithms pose significant challenges. These challenges are primarily rooted in the need for real-time processing speeds, effective feature sharing among diverse tasks, and seamless information fusion. ...”
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