Results 81 to 90 of about 6,093,681 (207)
Pengenalan Teks Tulisan Tangan Menggunakan Fully Convolutional Neural Network [PDF]
, 2020 Pengenalan tulisan tangan dari citra masih menjadi hal yang sukar karena penulisan huruf yang memiliki ukuran yang berbeda-beda. Solusi pertama yang ditawarkan dari pengenalan citra tulisan tangan ini ialah menggunakan Convolutional Neural Network (CNN ...
Dewi Ayu, Nirmalasari
core
FM-FCN: A Neural Network with Filtering Modules for Accurate Vital Signs Extraction
ResearchNeural networks excel at capturing local spatial patterns through convolutional modules, but they may struggle to identify and effectively utilize the morphological and amplitude periodic nature of physiological signals.
Fangfang Zhu +5 more
doaj +1 more source
Sensors, 2019 The visual inspection of massive civil infrastructure is a common trend for maintaining its reliability and structural health. However, this procedure, which uses human inspectors, requires long inspection times and relies on the subjective and empirical
M. M. Manjurul Islam, Jong-Myon Kim
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Journal of Microscopy, EarlyView.Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Health Science Reports, Volume 9, Issue 9, September 2026.ABSTRACT Background and Aims Differentiating odontogenic keratocyst (OKC) from other radiolucent jaw lesions like ameloblastoma is clinically important but radiographically difficult. Recent advances in artificial intelligence (AI) show promise for enhancing diagnosis using cone‐beam computed tomography (CBCT).
Reyhaneh Shoorgashti +3 more
wiley +1 more source
Multi-task Fully Convolutional Network for Brain Tumour Segmentation
, 2017 In this paper, a novel, multi-task fully convolutional network (FCN) architecture is proposed for automatic segmentation of brain tumour. The proposed network builds on the hierarchical relationship between tumour substructures with branch and leaf ...
Haocheng Shen +7 more
core +1 more source
Layout Analysis of Historical Document Images Using a Light Fully Convolutional Network
, 2023 In the last few years, many deep neural network architec- tures, especially Fully Convolutional Networks (FCN), have been proposed in the literature to perform semantic segmentation.
Ingold, Rolf +2 more
core +1 more source
Remote Sensing, 2018 Fully Convolutional Networks (FCN) has shown better performance than other classifiers like Random Forest (RF), Support Vector Machine (SVM) and patch-based Deep Convolutional Neural Network (DCNN), for object-based classification using orthoimage only ...
Tao Liu, Amr Abd-Elrahman
doaj +1 more source
A Large Language Model‐Based Approach for Fault Detection and Its Application
Safety Science and Technology, Volume 1, Issue 3, September 2026.This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley +1 more source
Improved Fully Convolutional Network for Digital Image Region Forgery Detection [PDF]
, 2019 With the rapid development of image editing techniques, the image splicing behavior, typically for those that involve copying a portion from one original image into another targeted image, has become one of the most prevalent challenges in our society ...
Zhiyi Cao +4 more
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