An improved particle swarm optimization for multilevel thresholding medical image segmentation. by Jiaqi Ma, Jianmin Hu

“…Aiming at the drawbacks of premature convergence of existing optimization algorithms for high-bit depth image segmentation, this paper presents a pyramid particle swarm optimization based on complementary inertia weights (CIWP-PSO), and the Kapur entropy is employed as the optimization objective. …”
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An Intelligent Ship Image/Video Detection and Classification Method with Improved Regressive Deep Convolutional Neural Network by Zhijian Huang, Bowen Sui, Jiayi Wen, Guohe Jiang

“…Second, a new feature pyramid network layer is designed by improving its structure in YOLOv3. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Firstly, we propose an innovative pyramid-structured multi-scale feature extraction method, which captures the multi-scale features of modal data through convolution kernels of different sizes and strengthens key features through channel attention mechanism. …”
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A novel method for intelligent operation and maintenance of transformers using deep visual large model DETR + X and digital twin by Xuedong Zhang, Wenlei Sun, Ke Chen, Shijie Song

“…This model converts one-dimensional DGA data into three-dimensional feature images based on Gram angle fields, facilitating the transformation and fusion of heterogeneous modal information. The Pyramid Vision Transformer (PVT) is innovatively adopted as the backbone for image feature extraction, replacing the traditional ResNet structure. …”
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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…Secondly, to broaden the image receptive field and improve feature fusion, a Receptive Field Block (RFB) model is incorporated into the neck network, replacing the original Spatial Pyramid Pooling Fast (SPPF) module. Additionally, a Lattice Structured Kernel (LSKBlock) attention mechanism is appended at the end of the neck network to further obtain richer semantic information. …”
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Changes in Tolaki People Burial in Southeast Sulawesi: From Boat-Shaped Grave Coffin (Soronga) to Boat-Shaped Islamic Tomb (Koburu Bangga) by Syahrun Syahrun, Basrin Melamba

“…There were also four models of tomb types, namely circle (buboto/loelole), rectangular (konahuu), rectangular step pyramid, elongated (menda’a), and boat-shaped (obangga). koburu bangga tomb. …”
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A lightweight weed detection model for cotton fields based on an improved YOLOv8n by Jun Wang, Zhengyuan Qi, Yanlong Wang, Yanyang Liu

“…Secondly, the Bidirectional Feature Pyramid Network (BiFPN) is introduced to enhance the feature fusion layer, further optimizing the model’s ability to recognize weed features in complex backgrounds. …”
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Challenges and prospects for developing genetic resistance in common wheat against stem rust in Western Siberia by V. N. Kelbin, E. S. Skolotneva, E. A. Salina

“…This review provides an analysis of the gene sources that remain effective against the West Siberian population of P. graminis, in order to facilitate the initial stage of selection of breeding material to develop a stable genotype by gene pyramiding. The basic requirements for conducting a phytopathological test of breeding material are presented. …”
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Canopy temperature depression for droughtand heat stress tolerance in wheat breeding by S. B. Lepekhov

“…These QTLs often explain a small part of phenotypic variance (10–20 %, more likely less than 10 %), which complicates the pyramiding of canopy temperature genes through marker-assisted selection. …”
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A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb by Reyhaneh Rostamian, Masoud Shariat Panahi, Morad Karimpour, Hadi G. Kashani, Amirhossein Abi

“…We generate multiple view renderings of the scanned limb and then integrate them, using a pyramid-style convolutional neural network, to build a 3D model of the bone and to determine the spatial coordinates of the landmarks. …”
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Advancing Rice Grain Impurity Segmentation with an Enhanced SegFormer and Multi-Scale Feature Integration by Xiulin Qiu, Hongzhi Yao, Qinghua Liu, Hongrui Liu, Haozhi Zhang, Mengdi Zhao

“…To make full use of the extracted features, the decoder was redesigned. First, the Feature Pyramid Network (FPN) was introduced to optimize the structure, selectively fusing the high-level semantic features and low-level texture features generated by the encoder. …”
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Mainstreaming precast and block hempcrete—a carbon sequestering solution for the built environment by Pandwe Gibson

“…Lime building construction dates to before its use in the pyramids and can be found in ancient Africa, Persia, Rome, and throughout many indigenous cultures. …”
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Research on Safe Driving Evaluation Method Based on Machine Vision and Long Short-Term Memory Network by Dongmei Shi, Hongyu Tang

“…The spatial stream channel uses the CNN method to extract the spatial characteristic value of video image and uses pyramid pooling instead of traditional pooling, normalizing the scale transformation. …”
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Storytelling Marketing Design of Wanaland Coffee Roastery To Improve Brand Awareness by Muhammad Chosasih Mahendra, Retnaningsih, Adhitya Rahmana

“…Quantitative data processing and descriptive statistics results are then analyzed using value chain analysis tools, brand awareness pyramids, and marketing storytelling. Findings/Result: The results of this study are in business activities, Wanaland Coffee Roastery sells coffee in the form of beans offline and online. …”
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FAMHE-Net: Multi-Scale Feature Augmentation and Mixture of Heterogeneous Experts for Oriented Object Detection by Yixin Chen, Weilai Jiang, Yaonan Wang

“…Our framework features a consolidated multi-scale feature enhancement module (CMFEM) with integrated Path Aggregation Feature Pyramid Network (PAFPN), utilizing our efficient atrous channel attention (EACA) within CMFEM for enhanced contextual and semantic information refinement. …”
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Organizational structure of the Mangalarga herd and the influence of geographic distribution and different coats on the genetic diversity by Andreza Correia da Silva, Juliano Martins Santiago, Jorge Eduardo Cavalcante Lucena, Caline Angélica de Menezes Sá Nascimento, Janaina Kelli Gomes Arandas, Laura Leandro da Rocha, Ana Paula Gomes Pinto

“…The organizational structure of the Mangalarga breed is not pyramid shaped and, even with the greater genetic contribution of the state of São Paulo and of the sorrel coat, the inbreeding coefficient is under control.…”
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THERMAL EFFECTIVENESS OF THE GAS FLOW VORTICAL HEATRELEASE INTENSIFICATION AT AXIAL AND TRANSVERSAL FLOWING-AROUND THE ROUND-TUBULAR SURFACES Part 2 by V. B. Kuntysh, A. B. Sukhotskiy, A. V. Yatsevich

“…The paper shows that physical principles of the heat-emission vortex intensification by way of lunuling the round tubular surfaces differentiate from those applying artificial limited roughness in the form of pyramid frusta on the tube outside surfaces flowed around by the transverse flow.…”
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Multi-Scale Bilateral Spatial Direction-Aware Network for Cropland Extraction Based on Remote Sensing Images by Weimin Hou, Yanxia Wang, Jia Su, Yanli Hou, Ming Zhang, Yan Shang

“…One path extracts attentional feature maps by spatial directions to preserve detailed direction-aware information and generate high-resolution features; the other path obtains local-to-global information through pyramid pooling and attention awareness to capture dense multiscale cropland features to separate targets in complex contexts. …”
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OsHMA3 overexpression works more efficiently in generating low-Cd rice grain than OsNramp5 knockout mutation by Yuejing Gui, Joanne Teo, Dongsheng Tian, Raji Mohan, Zhongchao Yin

“…However, these mutants still had much higher grain Cd content than the previously reported OsNramp5 mutants or the OsHMA3 overexpression lines developed in our previous study. Pyramiding the OsNramp5 mutant allele and the OsHMA3 transgene in a single line did not result in an additional reduction in grain Cd content. …”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…To eliminate the noise, this paper presents an electromagnetic data denoising approach based on the improved dung beetle optimized (IDBO) gated recurrent unit (GRU) and its application. Firstly, Spatial Pyramid Matching (SPM) chaotic mapping, variable spiral strategy, Levy flight mechanism, and adaptive T-distribution variation perturbation strategy were utilized to enhance the DBO algorithm. …”
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