Results 61 to 70 of about 117,293 (275)

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Students’ emotion classification system through an ensemble approach

Jurnal Ilmiah SINERGI
Emotion is a psychological and physiological response to an event or stimulus. Understanding students' emotions helps teachers and educators interact more effectively with students and create a better learning environment. The importance of understanding
Muhajir Muhajir, Kahlil Muchtar, Maulisa Oktiana, Akhyar Bintang   +3 more
doaj   +1 more source

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Remote Sensing, 2020
Mapping landslides using automated methods is a challenging task, which is still largely done using human efforts. Today, the availability of high-resolution EO data products is increasing exponentially, and one of the targets is to exploit this data ...
Nikhil Prakash, Andrea Manconi, Simon Loew   +2 more
doaj   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography

Journal of Modern Science
The article presents research findings on developing a medical diagnostic system based on electrical impedance tomography technology. One of the key components of this project is developing a method for reconstructing the structure of human lungs using ...
Malgorzata Lalak-Dybała, Barbara Stefaniak, Paweł Olszewski   +2 more
doaj   +1 more source

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

Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network

Sensors, 2020
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation of lesion boundaries for accurate cancerous region localization.
Kashan Zafar, Syed Omer Gilani, Asim Waris, Ali Ahmed, Mohsin Jamil, Muhammad Nasir Khan, Amer Sohail Kashif   +6 more
doaj   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Large‐Scale Quantitative Morphometry of Platelet α‐Granules via SIM Super‐Resolution Microscopy for Cancer Liquid Biopsy

Advanced Science, EarlyView.
ABSTRACT Blood‐based liquid biopsies hold transformative potential for non‐invasive cancer management, but current approaches relying on rare circulating tumor components limit their broad clinical utility. Platelets, abundant in blood and mediating diverse cancer‐associated responses, represent a compelling yet largely unexplored alternative.
Yan Ma, Huan Deng, Zelin Liu, Simei Zhong, Liangliang Wang, Mu He, Ning Jing, Lihua Dai, Yuzhen Basang, Xiao‐Yu Hu, Changyi Zhang, Huimin Zeng, Haoren Shao, Zhe Yang, Shanshan Zhao, Xiaohai Hu, Chuanjie Zhang, Xiaowei Wu, Jing Xu, Shaoqun Zeng, Jing Yuan, Qiang Li, Ziwei Qu, Zhenya Hong, Lingjuan Chen, Hanhua Dong, Jia Guo, Zhiqiang Han, Yu‐Hui Zhang   +28 more
wiley   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source