Results 51 to 60 of about 530,080 (274)

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Commodity Image Classification Based on Improved Bag-of-Visual-Words Model

Complexity, 2021
With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results.
Huadong Sun, Xu Zhang, Xiaowei Han, Xuesong Jin, Zhijie Zhao   +4 more
doaj   +1 more source

Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing

Informatics, 2022
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for ...
Negar Orangi-Fard, Alireza Akhbardeh, Hersh Sagreiya   +2 more
doaj   +1 more source

Scale Coding Bag-of-Words for Action Recognition

2014 22nd International Conference on Pattern Recognition, 2014
Recognizing human actions in still images is a challenging problem in computer vision due to significant amount of scale, illumination and pose variation. Given the bounding box of a person both at training and test time, the task is to classify the action associated with each bounding box in an image. Most state-of-the-art methods use the bag-of-words
Khan, Fahad Shahbaz, Van De Weijer, Joost, BAGDANOV, ANDREW DAVID, Felsberg, Michael   +3 more
openaire   +4 more sources

Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors

Advanced Materials, EarlyView.
A multifunctional reconfigurable fluidic unit can be used as sensor, valve and actuator is presented. A unique configuration combines the features of the three components as a Responsive self‐oscillating actuator. The remarkable versatility of the fluidic unit is demonstrated by building different robots with the same fluidic units only by varying ...
Mostafa Mousa, Alberto Comoretto, Johannes T.B. Overvelde, Antonio E. Forte   +3 more
wiley   +1 more source

Tailoring Vascular‐Immune Homeostasis via Manganese‐DNA Complex‐Armed Immunogenic Extracellular Vesicles for Pancreatic Cancer Immunotherapy

Advanced Science, EarlyView.
This study demonstrates that Mn2⁺–tumor DNA complexes encapsulated in dendritic cell (DC)– derived immunogenic extracellular vesicles (EVDC@Mn‐DNA) act as a DC‐specific cGAS– STING activator. EVDC@Mn‐DNA treatment enhances intratumoral DC activation, improves tumor vascular function, promotes CD8⁺ T cell activity, and suppresses pancreatic tumor growth,
Xue Jiang, Lihuan Shang, Xiaochun Chen, Xiangzhan Kong, Xiaojuan Wang, Linjia Jiang, Huiying Zhao, Yafeng Zhu, Cheng Huang, Shiyi Deng, Rui Zhang, Minghui Wang, Haoming Lin, Ping‐Pui Wong   +13 more
wiley   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

Advanced Science, EarlyView.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen, Zhihang Xu, Yiping Zou, Zhenlai Jiang, Yecheng Li, Taochen He, Hanlin Yin, Jiali Li, Yanfei An, Jiande Han, Yuqi Xie, Wei Gan, Yaolin Xu, Wenquan Wang, Junyi He, Haibo Wang, Wenchuan Wu, Zhenyu Ye, Wenhui Lou, Jihui Hao, Liang Liu, Jun Yu, Ning Pu   +22 more
wiley   +1 more source

Product Design Development of Three-In-One Tote Bag Using The Kansei Engineering Method

Jurnal Ilmiah SINERGI, 2022
The existing tote bag designs are often open at the top and vulnerable to pickpockets. Straps cannot be adjusted in length. Narrow straps, size, and the weight of their bags are causing pain.
Yuda Paripurna, Hari Purnomo
doaj   +1 more source

A words-of-interest model of sketch representation for image retrieval [PDF]

, 2011
In this paper we propose a method for sketch-based image retrieval. Sketch is a magical medium which is capable of conveying semantic messages for user. It’s in accordance with user’s cognitive psychology to retrieve images with sketch.
Guo, Wen-Jin, Liu, Yong-Jin, Luo, Xi, Ma, Cui-Xia, Song, Dawei   +4 more
core  

Fuzzy Bag-of-Words Model for Document Representation

IEEE Transactions on Fuzzy Systems, 2018
One key issue in text mining and natural language processing is how to effectively represent documents using numerical vectors. One classical model is the Bag-of-Words (BoW). In a BoW-based vector representation of a document, each element denotes the normalized number of occurrence of a basis term in the document.
Rui Zhao, Kezhi Mao
openaire   +2 more sources