Results 81 to 90 of about 303,008 (292)

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

PENERAPAN METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) PADA DATA AKREDITASI SEKOLAH DASAR (SD) DI KABUPATEN MAGELANG [PDF]

, 2014
Accreditation is the recognition of an educational institution given by a competent authority, that is Badan Akreditasi Nasional Sekolah/Madrasah (BAN - S/M) after it is assessed that the institution has met the eight components of the accreditation ...
OCTAVIANI, PUSPHITA ANNA
core  

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

Advanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou, Xi Zhang, Sihan Chen, Mengchi Yu, Yilan Hu, Chi Gan, Xianghu Meng, Long Li, Ninghong Song   +8 more
wiley   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Cuneiform symbols recognition by support vector machine (SVM)

Journal of Al-Qadisiyah for Computer Science and Mathematics, 2018
     Cuneiform character recognition represents a complex problem in pattern recognition as result of problems that related to style of this type of writing and the diversity of its features according to distortion and shadows problems. This research proves  that  polygon approximation  method is an optimal feature extra action method , which has been ...
Ali Adel Saeid, Abdul Monem S. Rahma, Abdul Mohssen .j. Abdul Hossen   +2 more
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

METODE SUPPORT VECTOR MACHINE DAN FORWARD SELECTION PREDIKSI PEMBAYARAN PEMBELIAN BAHAN BAKU KOPRA

Ilkom Jurnal Ilmiah, 2017
Telah banyak peneliti-peneliti termotivasi dalam meningkatkan kinerja performa prediksi. Support Vector Machine (SVM) metode yang berlandaskan pada teori pembelajaran statistic dan memberi hasil yang menjanjikan akan lebih baik dibanding metode lain. SVM
Ivo Colanus Rally Drajana
doaj   +1 more source

SVM-Maj: a majorization approach to linear support vector machines with different hinge errors [PDF]

Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with respect to competing techniques. Often, the solution of an SVM is obtained by switching to the dual.
Bioch, J.C., Groenen, P.J.F., Nalbantov, G.I.   +2 more
core   +1 more source

Artificial Piezoelectric Interface Enables Ultrafast Interfacial Ion Kinetic for Highly‐Sensitive Piezoionic Sensors

Advanced Science, EarlyView.
This study proposes a piezoelectric interface modification strategy to amplify the piezoionic effect. The piezoelectric interface generates an intrinsic electric field, which not only drives rapid ion migration but also concentrates polarized ions on the interface. The flexible sensor delivers superior performance, such as a quick response rate, strong
Yanyu Chen, Xingyue Ling, Rizhong Gao, Xiaohong Zhang, Xi Chen, Chao Lu   +5 more
wiley   +1 more source

Bullet Image Classification using Support Vector Machine (SVM)

Journal of Physics: Conference Series, 2016
All Quality control of the bullet is usually done manually. Manual inspection process has some disadvantages for instance human error factor and the time inspection are relatively longer. In this study, defect detection and classification of bullets by using Support Vector Machine (SVM)has been done.
Dwi Ratna S, Budi Setyono, Tyara Herdha
openaire   +1 more source