Results 41 to 50 of about 576,910 (192)
A survey on deep learning for polyp segmentation: techniques, challenges and future trends
Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp regions.
Jiaxin Mei +6 more
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Chemical characterization and differentiation of Montenegrin plum spirits obtained by two techniques of traditional batch distillation [PDF]
Volatile compounds of plum spirit have a decisive influence on its quality and are closely related to the method of production. In this paper, minor and major volatile of plum spirits produced in small artisanal distilleries of Montenegro, obtained by ...
Zejak Dejan B. +4 more
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Distance Functions for Local PCA Methods [PDF]
Kaiser A, Schenck W, Möller R. Distance Functions for Local PCA Methods. In: ESANN 2010 proceedings - European Symposium on Artificial Neural Networks.
Kaiser, Alexander +2 more
core
Detecting nearshore underwater targets in hyperspectral imagery faces significant challenges due to complex background clutter, weak and distorted underwater target signals. Extracting discriminative features is a critical step. Current methods are often
Mengxin Liu, Shengwei Zhong
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Spectral–Spatial Attention-Guided Multi-Resolution Network for Pansharpening
Pansharpening is a technique that combines high-resolution panchromatic (PAN) images with low-resolution multispectral (MS) images to produce high-resolution MS (HRMS) images.
Shen Xu +3 more
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Novel use of waste sawdust in green stormwater infrastructure (GSI)
As urban populations grow, finding appropriate strategies for managing waste and stormwater is becoming increasingly more challenging. While the incorporation of waste materials into concrete has been studied for structural components, the use of waste ...
Ebru Özer, Berrin Tansel
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An Elite Spring Wheat Yield Trial (EWYT) was conducted with 50 diverse genotypes of Wheat (Triticum aestivum L.) and analyzed by multivariate analysis during 2018-19 rabi season. Correlation analysis revealed positive association of plant height, grains
Ponaganti Shiva Kishore1, Suvendu Kumar Roy1*, Saikat Das2, S. Vishnupriya1, Basid Ali1, Lakshmi Hijam1, Moumita Chakraborty1, Puspendu Dutta3, Rupsanatan Mandal4 and Sanghamitra Rout5
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Comparison of correct classification rate (CCR) [%] of each of MSM [12], the proposed 2D-PCA MSM, the proposed 2D-PCA-R MSM (θ = −10), and the proposed B-2D-PCA-R MSM on CASIA-C [14] (slow walk fs).
Yumi Iwashita (11261748) +3 more
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Assessment of variation in rice maintainer lines using principal component analysis
The aim of this study was to explore the characteristics essential for a maintainer line to effectively complement the A lines in hybrid rice production.
B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3
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Herein, this work aimed to develop and assess feasibility of multivariate model of partial least square analysis for specific quantification of pitavastatin (PVT)-loaded self-nano emulsion (SNE) formulation using UV Vis spectrophotometry. PVT loaded into
Kuncahyo I +4 more
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