Results 51 to 60 of about 176,187 (274)

Variational calculations for K-few-nucleon systems

, 2008
Deeply bound KNN, KNNN and KNNNN states are discussed. The effective force exerted by the K meson on the nucleons is calculated with static nucleons.
A. M. Green, M. Iwasaki, O. Braun, S. Wycech, W. Krzyzanowski, W. Weise   +5 more
core   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier

, 2021
Pre-trained models are widely used in fine-tuning downstream tasks with linear classifiers optimized by the cross-entropy loss, which might face robustness and stability problems. These problems can be improved by learning representations that focus on similarities in the same class and contradictions in different classes when making predictions.
Li, Linyang, Song, Demin, Ma, Ruotian, Qiu, Xipeng, Huang, Xuanjing   +4 more
openaire   +2 more sources

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

GOJEK DATA ANALYSIS THROUGH TEXT MINING USING SUPPORT VECTOR MACHINE (SVM) AND K-NEAREST NEIGHBOR (KNN)

Barekeng
The main focus of this research is to apply and test the effectiveness of SVM and KNN methods in Gojek data text analysis. This research will examine how the two methods can classify user comments and feedback and identify data sentiment analysis at the ...
Siti Hadijah Hasanah, Muhamad Riyan Maulana, Dian Nurdiana   +2 more
doaj   +1 more source

Chronic Kidney Disease Prediction Based On Machine Learning Algorithms [PDF]

ITM Web of Conferences
Chronic kidney disease is a progressively bad disease. In most cases, there are serious complications with the kidneys if early identified. Early prediction and diagnosis of CKD are quite important to improve the management and effectiveness of the ...
Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.   +3 more
doaj   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Dielectric and piezoelectric properties of modified lead-free NaNbO3–KNbO3/PVDF composite ceramics

Journal of Advanced Dielectrics, 2021
This work presents the results of study of the electrophysical properties of composite polymer ceramics (1 − x)[KNN-LTSN]–xPVDF at x = 25 vol.% and x= 50 vol.% in the temperature range of T = 20–160∘C and frequency range of f = 2 × 101–2 × 106 Hz.
Y. I. Yurasov, M. I. Tolstunov, A. V. Nazarenko, A. A. Pavelko, A. V. Yudin, I. A. Verbenko, L. A. Reznitchenko   +6 more
doaj   +1 more source

An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval

, 2019
The application of the diffusion in many computer vision and artificial intelligence projects has been shown to give excellent improvements in performance. One of the main bottlenecks of this technique is the quadratic growth of the kNN graph size due to
A Gordo, D Li, F Magliani, GH Golub, J Chen, J Wang, J Xu, Y-M Zhang   +7 more
core   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source