Results 111 to 120 of about 6,293,684 (257)

Demodulation of Visible Light Communication based on Gaussian Support Vector Machine

Guangtongxin yanjiu
ObjectiveConsidering the nonlinear effects in Visible Light Communication (VLC) systems based on Orthogonal Frequency Division Multiplexing (OFDM), an advanced classification demodulation methodology based on Gaussian Support Vector Machines (Gaussian ...
XU Zizhen, LI Jianfeng, LIU Xiaoshuang
doaj  

Harmonic-Controlled Space Vector Modulation With Reduced Switching Transitions for Two-Level Nine-Phase Motor Drives

IEEE Open Journal of Industry Applications
Multiphase motor drives offer several advantages over their three-phase counterparts, including reduced power per phase, lower voltage or current levels while maintaining the same output power, and enhanced fault tolerance.
Rodrigo R. Bastos, Braz J. Cardoso Filho
doaj   +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

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

An Improved DTC Scheme Based on Common-Mode Voltage Reduction for Three Level NPC Inverter in Induction Motor Drive Applications

Automation
Common-mode voltage (CMV) is a critical concern in motor drive applications employing multilevel inverters, as it can lead to significant issues such as high-frequency noise, electromagnetic interference, and motor bearing degradation.
Salma Jnayah, Zouhaira Ben Mahmoud, Thouraya Guenenna, Adel Khedher   +3 more
doaj   +1 more source

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

Analysis of 2-level 3 phase space vector modulation / Shafizad Izhar [PDF]

, 2012
Space vector modulation (SVM) is one of the best choice techniques of modulation to drive 3 phase load such as 3 phase induction motor. The power circuit of a 3 phase inverter consists of six IGBT, mosfet or other switching electronic equipment is used ...
Izhar, Shafizad
core  

A novel SVM-based hysteresis current controller

, 2019
In this paper, a novel space-vector-modulation (SVM)-based hysteresis current controller (HCC) is proposed. This technique utilizes all advantages of the HCC and SVM technique.
Kim, TW, Youm, JH, Kwon, BH
core   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels [PDF]

, 2007
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows are divided into groups of rows.
Mangasarian, Olvi, Wild, E
core