Results 101 to 110 of about 53,606 (313)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Sistem Deteksi Infeksi COVID-19 Pada Hasil X-Ray Rontgen menggunakan Algoritma Convolutional Neural Network (CNN) [PDF]

, 2021
Muhammad Saiful, Lalu Muhammad Samsu, Fathurrahman Fathurrahman   +2 more
openalex   +1 more source

Fever Detection Using Convolutional Neural Networks (CNNs)

International Journal of Innovative Science and Research Technology (IJISRT)
This research paper is a novel fever detection methodology using the image classification technique with Python-based convolutional neural networks. We have developed a non-invasive and efficient method to identify fever by analysing images of the tongue, based on traditional Chinese medicine. Later on, we built a model which gave 92.2% on the test set
Amith B, Harshitha KN, Vijay R, Meghana B R, Shivandappa ., Narendra Kumar S   +5 more
openaire   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

Advanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li, Han Liu, Guoxu Liu, Qian'ao Wang, Haotian Zhou, Guiyi Liu, Yan Xu, Jun Wang, Zuqiang Wang, Feng Zhu, Feiling Luo, Zhong Lin Wang, Chi Zhang   +12 more
wiley   +1 more source

Fully convolutional networks for action recognition

IET Computer Vision, 2017
Human action recognition is an important and challenging topic in computer vision. Recently, convolutional neural networks (CNNs) have established impressive results for many image recognition tasks.
Sheng Yu, Yun Cheng, Li Xie, Shao‐Zi Li   +3 more
doaj   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

CFAT: Convolutional Fieldy Attention Transformer for Polarimetric SAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Classification of polarimetric synthetic aperture radar (PolSAR) images is one of the most prominent topics in the field of PolSAR and is crucial for its applications.
Xiandai Cui
doaj   +1 more source

Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity

Advanced Science, EarlyView.
We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng, Niels Harlaar, Juan Zhang, Sven O. Dekker, Nina N. Kudryashova, Huiling Zhou, Cindy I. Bart, TianYi Jin, Georgy Derevyanko, Willem van Driel, Alexander V. Panfilov, René H. Poelma, Antoine A. F. de Vries, GuoQi Zhang, Tim De Coster, Daniël A. Pijnappels   +15 more
wiley   +1 more source

Eliminating racial bias at the time of detection Melanoma using Convolution Neural Network (CNN) [PDF]

, 2021
Md. Abdullah Al Noman Majumder, Eimon Hossain Taief, Md. Nurul Amin Bhuiyan, M. F. Mridha, Aloke Kumar Saha   +4 more
openalex   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source