Suchergebnisse - "Inception Network"

Classification of breast cancer histology images using incremental boosting convolution networks von Vo, Duc My, Nguyen, Ngoc-Quang, Lee, Sang-Woong

“… Breast cancer is the most common cancer type diagnosed in women worldwide. While breast cancer can occur in both men and women, it is by far more prevalent in …”
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Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network von Zhang, Pengfei, Gao, Dong, Hong, Dongbo, Lu, Yong, Wu, Qian, Zan, Shusong, Liao, Zhirong

“… •A novel hybrid deep CNN has been proposed using Inception module and SR-block, named ISR-CNN.•All transition state data is discarded so that the data used to …”
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Multi-scale signed recurrence plot based time series classification using inception architectural networks von Zhang, Ye, Hou, Yi, OuYang, Kewei, Zhou, Shilin

“… •The reccurence plots (RP) suffer from the multi-scale and tendency confusion problems.•Multi-scale signed recurrence plots (MSRP) are proposed to handle the …”
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Bearing fault diagnosis method based on attention mechanism and multilayer fusion network von Li, Xiaohu, Wan, Shaoke, Liu, Shijie, Zhang, Yanfei, Hong, Jun, Wang, Dongfeng

“… The methods with multi-sensor data fusion have been a remarkable way to improve the accuracy and robustness of bearing fault diagnosis under complicated …”
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Abnormal events detection based on RP and inception network using distributed optical fiber perimeter system von Lyu, Chengang, Jiang, Jianying, Li, Baihua, Huo, Ziqiang, Yang, Jiachen

“… •A novel perimeter security abnormal events identification method based on Recurrent Plot algorithm and neural network analysis.•The Recurrent Plot algorithm …”
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TransNet: Full Attention Network for CSI Feedback in FDD Massive MIMO System von Cui, Yaodong, Guo, Aihuang, Song, Chunlin

“… Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO) system. It depicts important properties of transmission channels …”
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Multi-resolution CSI Feedback with Deep Learning in Massive MIMO System von Lu, Zhilin, Wang, Jintao, Song, Jian

“… In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS) …”
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Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence images von Acikgoz, Hakan, Korkmaz, Deniz, Budak, Umit

“… Electroluminescence (EL) imaging provides high spatial resolution and better identifies micro-defects for inspection of photovoltaic (PV) modules. However, the …”
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Temporal augmented contrastive learning for micro-expression recognition von Wang, Tianhao, Shang, Lin

“… •Adaptively temporal augmentation is combined with momentum contrast into the pre-training.•Micro-expression sequences (new dataset) are interpolated from raw …”
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Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification von Ahmad, Muhammad, Khan, Adil Mehmood, Mazzara, Manuel, Distefano, Salvatore, Roy, Swalpa Kumar, Wu, Xin

“… The nonlinear relation between the spectral information and the corresponding objects (complex physiognomies) makes pixelwise classification challenging for …”
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Vision Transformer in stenosis detection of coronary arteries von Jungiewicz, Michał, Jastrzębski, Piotr, Wawryka, Piotr, Przystalski, Karol, Sabatowski, Karol, Bartuś, Stanisław

“… About 380 thousand people in the United States die each year because of coronary artery disease. About 2 in 10 deaths from CAD happen in adults less than 65 …”
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Short-term PV prediction using multiperiod similar days and TimeGAN-inception von Wu, Xiaomei, Wu, Ruitao, Wu, Siming, Li, Weicheng, Chen, Haijie, Tong, Ning

“… •Multiperiod similar-day matching: Divides target day into segments for precise local meteorological similarity search.•TimeGAN for realistic sample …”
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Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network von Shirian, Amir, Tripathi, Subarna, Guha, Tanaya

“… Human emotion is expressed, perceived and captured using a variety of dynamic data modalities, such as speech (verbal), videos (facial expressions) and motion …”
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RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds von Roy, Arka, Satija, Udit

“… Objective : Respiratory diseases are the world's third leading cause of mortality. Early detection is critical in dealing with respiratory diseases as it …”
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Multi-level attention network: application to brain tumor classification von Shaik, Nagur Shareef, Cherukuri, Teja Krishna

“… Brain tumor classification is one of the challenging tasks in the field of medical image analysis. Any faults occurred during brain tumor diagnosis process may …”
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Improved inception-residual convolutional neural network for object recognition von Alom, Md Zahangir, Hasan, Mahmudul, Yakopcic, Chris, Taha, Tarek M., Asari, Vijayan K.

“… Machine learning and computer vision have driven many of the greatest advances in the modeling of Deep Convolutional Neural Networks (DCNNs). Nowadays, most of …”
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A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG von Srivastava, Apoorva, Pratiher, Sawon, Alam, Sazedul, Hari, Ajith, Banerjee, Nilanjan, Ghosh, Nirmalya, Patra, Amit

“… Most arrhythmias due to cardiovascular diseases alter the electrical activity, resulting in morphological alterations in electrocardiogram (ECG) recordings …”
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DRRP-Net: Dense-Res- Recurrent Prototypical Networks for carbon emission prediction using satellite image time series von Lakshmi, Choudari, Konda, Srinivasa Rao

“… Monitoring and predicting carbon emissions is crucial for understanding the impacts of environmental changes and implementing effective climate policies …”
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A novel deep learning‐based single shot multibox detector model for object detection in optical remote sensing images von Wang, Liguo, Shoulin, Yin, Alyami, Hashem, Laghari, Asif Ali, Rashid, Mamoon, Almotiri, Jasem, Alyamani, Hasan J., Alturise, Fahad

“… Remote sensing image object detection is widely used in civil and military fields. The important task is to detect objects such as ships, planes, airports, …”
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Enhancing rotation you only look once version 8 for accurate detection of arbitrarily-oriented and multi-scale construction material in complex environment von Lu, Yujie, Nong, Yuanjun, Zhu, Dayu, Wang, Shuo

“… Construction material detection is integral to effective material management. While deep learning-based methods have advanced automatic detection, challenges …”
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