Results 71 to 80 of about 6,343,053 (206)

A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes [PDF]

Computer Vision and Pattern Recognition, 2019
Most current semantic segmentation approaches fall back on deep convolutional neural networks (CNNs). However, their use of convolution operations with local receptive fields causes failures in modeling contextual spatial relations.
L. Mou, Yuansheng Hua, Xiaoxiang Zhu
semanticscholar   +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Layout Analysis of Historical Document Images Using a Light Fully Convolutional Network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, Vögtlin, Lars, Rahal, Najoua   +2 more
core   +1 more source

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Physics-Informed Fully Convolutional Network-Based Power Flow Analysis for Multi-Terminal MVDC Distribution Systems

IEEE Transactions on Power Systems
Numerical methods in power flow (PF) studies for medium-voltage direct current (MVDC) distribution systems require repetitive computations, particularly in scenarios with time-variable facilities that often alter the system operation points. Conventional
Ping-Yang Sun, Rongcheng Wu, Hongyi Wang, Gen Li, M. Khalid, Georgios Konstantinou   +5 more
semanticscholar   +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, Jiwei Zhang, Yueying Li, Shaozhang Niu, Xinyi Wang   +4 more
core   +1 more source

Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network

, 2021
Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR) images is essential for developing quantitative biomarkers for muscular disease progression and its prediction.
Chen, Zhi, van der Plas, Ellen, Guo, Zhihui, Nopoulos, Peggy, Zhang, Honghai, Sonka, Milan, Gutmann, Laurie, Thedens, Daniel, Zhihui Guo, Honghai Zhang, Daniel Thedens, Laurie Gutmann, Ellen van der Plas, Milan Sonka, Zhi Chen, Peggy Nopoulos   +15 more
core   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

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  

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Deep semantic segmentation of unmanned aerial vehicle remote sensing images based on fully convolutional neural network

Frontiers in Earth Science, 2023
In the era of artificial intelligence and big data, semantic segmentation of images plays a vital role in various fields, such as people’s livelihoods and the military.
Guo-Xun Zheng, Zhengang Jiang, Hua Zhang, Xuekun Yao   +3 more
semanticscholar   +1 more source