Results 71 to 80 of about 387,320 (324)

Heuristic Spike Sorting Tuner (HSST), a framework to determine optimal parameter selection for a generic spike sorting algorithm [PDF]

, 2020
Extracellular microelectrodes frequently record neural activity from more than one neuron in the vicinity of the electrode. The process of labeling each recorded spike waveform with the identity of its source neuron is called spike sorting and is often ...
Bjånes, David A., Fisher, Lee E., Gaunt, Robert A., Weber, Douglas J.   +3 more
core  

Serum Soluble Mediator Signatures of Lupus Nephritis: Histologic Features and Response to Treatment

Arthritis Care &Research, EarlyView.
Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histologic features and treatment response.
Andrea Fava, Catriona A. Wagner, Carla J. Guthridge, Susan Macwana, Wade DeJager, Melissa E. Munroe, Peter Izmirly, H. Michael Belmont, Betty Diamond, Anne Davidson, Paul J. Utz, Michael H. Weisman, Philip M. Carlucci, Maria Dall'Era, Kenneth Kalunian, Chaim Putterman, Jennifer Anolik, Jennifer L. Barnas, David Wofsy, Diane Kamen, Richard A. Furie, Deepak A. Rao, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus Network, Chun‐Hao Lee, Derek Fine, Manny Monroy‐Trujillo, Ummara Shah, Mariko Ishimori, Robert M. Clancy, Michael Belmont, Ming Wu, Nicole Bornkamp, Evan Der, Beatrice Goilav, Nicole Jordan, Daniel Schwartz, James Pullman, David Wofsy, Dawn Smilek, Patti Tosta, Matthias Kretzler, Celine C. Berthier, E. Steve Woodle, Dave Hildeman, Michael Brenner, Michelle Petri, Joel M. Guthridge, Jill Buyon, Judith A. James   +48 more
wiley   +1 more source

Measures for unsupervised fuzzy-rough feature selection [PDF]

International Journal of Hybrid Intelligent Systems, 2009
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors to reflect decision class labels. It is therefore intuitive to retain only those features that are related to or lead to these decision classes.
Parthaláin, Neil Mac, Jensen, Richard
openaire   +3 more sources

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source

Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition

Journal of Natural Fibers
Suitable features are the key to identifying cashmere and wool fibers, and feature selection is an important step in classification. Existing supervised feature selection methods need to consider the information between fiber features and class labels ...
Yaolin Zhu, Xingze Wang, Meihua Gu, Gang Hu, Wenya Li   +4 more
doaj   +1 more source

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

Advanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao, Che Liu, Jia Cheng Li, Zhen Hao Fu, Yi Su Huang, Si Qi Huang, Lei Zhang, Jian Wei You, Tie Jun Cui   +8 more
wiley   +1 more source

Unsupervised feature selection based on generalized regression model with linear discriminant constraints

Complex & Intelligent Systems
Unsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis.
Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai   +6 more
doaj   +1 more source

Bi-Sparse Unsupervised Feature Selection

IEEE Transactions on Image Processing
To deal with high-dimensional unlabeled datasets in many areas, principal component analysis (PCA) has become a rising technique for unsupervised feature selection (UFS). However, most existing PCA-based methods only consider the structure of datasets by embedding a single sparse regularization or constraint on the transformation matrix. In this paper,
Xianchao Xiu, Chenyi Huang, Pan Shang, Wanquan Liu   +3 more
openaire   +2 more sources

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

Advanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon, Soeun Park, Yeong Kwon Kim, Juhwan Baek, Ki Han Kim, Seongil Yun, Hyeonchang Son, Jeongeun Choi, Byung Chul Jang, Dong‐Ho Kang   +9 more
wiley   +1 more source

How PCA helps multi-criteria decision making for feature selection: A feature fusion approach in bioinformatics and gene expression data

Alexandria Engineering Journal
In high-dimensional data analysis, unsupervised feature selection plays a crucial role in enhancing model interpretability and reducing computational cost. While Principal Component Analysis (PCA) and Multi-Criteria Decision-Making (MCDM) methods such as
Mohsen Habibollahi, Amin Hashemi, Mohammad Bagher Dowlatshahi, Marjan Kuchaki Rafsanjani, Varsha Arya, Brij B. Gupta   +5 more
doaj   +1 more source