Results 111 to 120 of about 5,262,248 (269)

Making Indefinite Kernel Learning Practical [PDF]

In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and see why this paradigm is successful for many pattern recognition problems ...
Mierswa, Ingo
core  

MXene‐Induced Selective Ion Separation in Capacitive Deionization: Bridging Fundamentals With Frontier Innovations

Electron, EarlyView.
This review presents an in‐depth analysis of employing the MXenes electrodes in advancing ion‐selective capacitive deionization technologies, by exploring various strategies to achieve the desired selectivity. It highlights the critical challenges that hinder scalability and practical implementation. The review showcases the future opportunities toward
Rahat Alam, Linda Zou, Louis C. P. M. de Smet, Constantinos V. Chrysikopoulos   +3 more
wiley   +1 more source

Citrus Essential Oils in Food Safety and Health: Advances in AI‐Assisted Authentication, Antimicrobial Applications, Sustainable Extraction, and Regulatory Translation

Food Safety and Health, EarlyView.
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi, Liza Akter, Yusuf Chowdhury, Mohima Akther Any, Nazmul Islam, Erni Sofia Murtini, Nurul Huda, Wahidu Zzaman   +7 more
wiley   +1 more source

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

Development and Application of Comprehensive Simulation Models for Current-Source Inverter Modulators

Applied Sciences
This paper provides an overview of existing theories on various modulation strategies for current-source inverters (CSI), particularly focusing on space vector modulation (SVM).
Gurhan Ertasgin, Erol Nikocevic
doaj   +1 more source

Zinc oxide/polydimethylsiloxane‐coated carbon fiber yarns for machine‐learning‐assisted gait classification

InfoScience, EarlyView.
Gait analysis can provide valuable information for identifying changes in movement associated with neurological disorders, thus serving as an important support tool in several areas, including healthcare and rehabilitation. In this study, zinc oxide/polydimethylsiloxane (ZnO/PDMS)‐coated carbon fiber yarns were developed and evaluated as pressure ...
Maria Morais, Raquel Barras, Jorge Martins, Ana Rovisco, Elvira Fortunato, Rodrigo Martins, Diana Gaspar, Hugo Gamboa, Emanuel Carlos, Luís Pereira, Pedro Barquinha   +10 more
wiley   +1 more source

Implementation of Space Vector Modulation for Voltage Source Inverter

, 2013
This paper presents a development of a voltage source inverter (VSI) for electrical drive applications based on Space Vector Modulation (SVM) technique and the SVM algorithm is implemented using digital signal processor (DSP).
Abdul Karim, Kasrul, Ibrahim, Zulkifli, Othman, Md Nazri, Jidin , Auzani, Sanusi, Syamim, JOPRI, MOHD HATTA   +5 more
core   +1 more source

Regression depth and support vector machine [PDF]

The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core  

Multiomics Insights Into AL Amyloidosis

Medicine Bulletin, EarlyView.
ABSTRACT Light chain amyloidosis is a systemic or localized protein conformational disorder triggered by misfolded immunoglobulin light chains, leading to amyloid fibril deposition. The disease is characterized by multiorgan involvement and delayed diagnosis, contributing to poor prognosis and high mortality rates.
Zixuan Zhang, Ziru Huang, Haoxiang Tang, Xianrun Pan, Rong Wang, Dingding Zhang, Jian Huang   +6 more
wiley   +1 more source