Suchergebnisse - "deep learning algorithm"

A Fully Flexible Intelligent Thermal Touch Panel Based on Intrinsically Plastic Ag2S Semiconductor von Zhao, Xue‐Feng, Yang, Shi‐Qi, Wen, Xiao‐Hong, Huang, Qi‐Wei, Qiu, Peng‐Fei, Wei, Tian‐Ran, Zhang, Hao, Wang, Jia‐Cheng, Zhang, David Wei, Shi, Xun, Lu, Hong‐Liang

“… Wearable touch panels, a typical flexible electronic device, can recognize and feed back the information of finger touch and movement. Excellent wearable touch …”
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Mixed local channel attention for object detection von Wan, Dahang, Lu, Rongsheng, Shen, Siyuan, Xu, Ting, Lang, Xianli, Ren, Zhijie

“… Attention mechanism, one of the most extensively utilized components in computer vision, can assist neural networks in emphasizing significant elements and …”
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Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs von Keel, Stuart, Li, Zhixi, Scheetz, Jane, Robman, Liubov, Phung, James, Makeyeva, Galina, Aung, KhinZaw, Liu, Chi, Yan, Xixi, Meng, Wei, Guymer, Robyn, Chang, Robert, He, Mingguang

“… Importance Detection of early onset neovascular age‐related macular degeneration (AMD) is critical to protecting vision. Background To describe the development …”
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Colorimetric microneedle sensor using deep learning algorithm for meat freshness monitoring von Wang, Jie, Xia, Linlin, Liu, Han, Zhao, Chong, Ming, Siyu, Wu, Jingyi

“… •Colorimetric microneedle sensors enable visualized meat freshness monitoring.•Sensors are fabricated by molding hydrogels intercalated with …”
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Development of deep learning models for microglia analyses in brain tissue using DeePathology™ STUDIO von Möhle, Luisa, Bascuñana, Pablo, Brackhan, Mirjam, Pahnke, Jens

“… Interest in artificial intelligence-driven analysis of medical images has seen a steep increase in recent years. Thus, our paper aims to promote and facilitate …”
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Hard exudates in diabetic macular edema after intravitreal anti-VEGF therapy: a post-hoc analysis of the DRCR protocol T trial von Pak, Kangyeun, Yoon, Changki, Sadda, Srinivas R.

“… To quantitatively analyze change in the extent of hard exudates (HEs) following anti-VEGF therapy for diabetic macular edema (DME) and its relationships with …”
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Ultra-Low-Power E‑Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning von Lee, Kichul, Cho, Incheol, Kang, Mingu, Jeong, Jaeseok, Choi, Minho, Woo, Kie Young, Yoon, Kuk-Jin, Cho, Yong-Hoon, Park, Inkyu

“… As interests in air quality monitoring related to environmental pollution and industrial safety increase, demands for gas sensors are rapidly increasing. Among …”
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Collection of Road Traffic Incidents in Bangkok from Twitter Data based on Deep Learning Algorithm von Puangnak, Korn, Rachsiriwatcharabul, Natworapol

“… Text processing technology from Twitter to report notification formats that are known in many countries with verification on different languages. This research …”
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Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds von Ma, Jong Won, Czerniawski, Thomas, Leite, Fernanda

“… This paper investigates the viability of using synthetic point clouds generated from building information models (BIMs) to train deep neural networks to …”
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Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms von Talukdar, Swapan, Shahfahad, Ahmed, Shakeel, Naikoo, Mohd Waseem, Rahman, Atiqur, Mallik, Santanu, Ningthoujam, Sudhakar, Bera, Somnath, Ramana, G.V.

“… Regular monitoring and assessment of water quality is essential to maintain the quality of lake water. A commonly used method for assessing water quality is …”
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A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches von Wang, Shuai, Wang, Jianzhou, Lu, Haiyan, Zhao, Weigang

“… Accurate wind speed forecasting is increasingly essential for improving the operating efficiency of electric power systems. Numerous models have been proposed …”
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Long‐Range Disorder MetaSurface Enabled High‐Performance One‐Shot Ultraviolet Full‐Stokes Polarimeter von Huang, Shanshan, Xian, Shilin, Peng, Jialong, Yang, Xiu, Du, Jinglei, Hou, Yidong

“… The rapidly‐developed nanophotonics enable the realization of highly‐precise, ultra‐compact full Stokes polarimeters. However, realizing large‐area …”
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Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm von Jeyaraj, Pandia Rajan, Samuel Nadar, Edward Rajan

“… Purpose Oral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and …”
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On flow regime transition in trickle bed: Development of a novel deep‐learning‐assisted image analysis method von Wang, Chao, Li, Shaoshuo, Yang, Yao, Huang, Zhengliang, Sun, Jingyuan, Wang, Jingdai, Yang, Yongrong, Liao, Zuwei, Jiang, Binbo

“… An image analysis method was developed based on deep‐learning algorithms to extract phase fractions quantitatively in a rectangular trickle bed, and the …”
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Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images von Behzadi, Mohammad Mahdi, Madani, Mohammad, Wang, Hanzhang, Bai, Jun, Bhardwaj, Ankit, Tarakanova, Anna, Yamase, Harold, Nam, Ga Hie, Nabavi, Sheida

“… Prostate cancer is the most common cancer in men worldwide and the second leading cause of cancer death in the United States. One of the prognostic features in …”
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A deep learning-based maneuvering target tracking with temporal convolutional networks von Xia, Lei, Zhang, Shurui, Hu, Yuhang, Zhang, Renli, Li, Song, Sheng, Weixing

“… Traditional algorithms of the target tracking rely on predefined target motion states to modify sensor observations. However, these algorithms struggle to …”
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Subjective perception analysis of active noise control algorithms in an encapsulated structure: An experimental study von Aboutiman, Alkahf, Rachman, Zulfi, Oberman, Tin, Alletta, Francesco, Kang, Jian, Karimi, Hamid Reza, Ripamonti, Francesco

“… This study investigates the subjective perception of active noise control (ANC) performance, focusing on how individuals evaluate the noise reduction provided …”
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Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period von Kim, Jeong‐Heon, Kwak, Young‐Sil, Kim, YongHa, Moon, Su‐In, Jeong, Se‐Heon, Yun, JongYeon

“… In our previous study (Moon et al., 2020, https://doi.org/10.3938/jkps.77.1265), we developed a long short‐term memory (LSTM) deep‐learning model for …”
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A self-adaptive deep learning algorithm for accelerating multi-component flash calculation von Zhang, Tao, Li, Yu, Li, Yiteng, Sun, Shuyu, Gao, Xin

“… In this paper, the first self-adaptive deep learning algorithm is proposed in details to accelerate flash calculations, which can quantitatively predict the …”
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High Throughput Blood Analysis Based on Deep Learning Algorithm and Self‐Positioning Super‐Hydrophobic SERS Platform for Non‐Invasive Multi‐Disease Screening von Lin, Xueliang, Lin, Duo, Chen, Yang, Lin, Jincheng, Weng, Shuyun, Song, Jibin, Feng, Shangyuan

“… Blood analysis is crucial for early cancer screening and improving patient survival rates. However, developing an effective strategy for early cancer detection …”
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