Results 211 to 220 of about 36,871 (305)

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source

Signal Denoising Method Using AIC-SVD and Its Application to Micro-Vibration in Reaction Wheels. [PDF]

Sensors (Basel), 2019
Yin X, Xu Y, Sheng X, Shen Y.
europepmc   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

MDSC: Unsupervised Multipath Decomposition and Synergistic Correction for Efficient Low‐Light Image Enhancement with Detail‐Aware Smoothing

Advanced Intelligent Systems, EarlyView.
This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng, De Yu, Yongqi Yuan, Mengjie Ye, Huan Wang, Qian Zhang, Ge Jin   +6 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

ECG Signal Denoising and Features Extraction Using Unbiased FIR Smoothing. [PDF]

Biomed Res Int, 2019
Lastre-Domínguez C, Shmaliy YS, Ibarra-Manzano O, Munoz-Minjares J, Morales-Mendoza LJ.   +4 more
europepmc   +1 more source

Exploring the lichenization continuum through the marine tripartite symbiosis of Collemopsidium pelvetiae

American Journal of Botany, EarlyView.
Abstract Premise Symbioses between lichen‐forming fungi and brown algae (phaeophytes) are extremely rare. We investigated the interactions between the marine fungus Collemopsidium pelvetiae and its two photosynthetic partners, the brown alga Pelvetia canaliculata and a cyanobacterial symbiont to address questions on symbiosis biology, lichenization ...
Sergio Pérez‐Ortega, Rúdiger Ortiz‐Álvarez, Jacek Wierzchos, Miguel Blázquez, Alain Gérault, Asunción de los Ríos   +5 more
wiley   +1 more source

SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising. [PDF]

Comput Math Methods Med, 2019
Liu G, Hu X, Wang E, Zhou G, Cai J, Zhang S.   +5 more
europepmc   +1 more source

Altered Nasal Microbiota in Sinonasal Tumors: A Comparative Analysis of Malignant and Benign Sinonasal Tumors

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Although shifts in nasal microbiota have been well‐documented in inflammatory upper airway conditions, microbiota tumor‐associated alterations remain uncharacterized. This study is the first to compare sinonasal microbiota profiles of patients with malignant tumors (MT), benign tumors (BT), and controls, offering insights into tumor‐
Evan A. Patel, Phillip A. Engen, Glen D. Souza, Sarah Khalife, Donyea Moore, Lauren Kret, Pedro Escobedo, Stefan J. Green, Ankur Naqib, Peter Filip, Peter Papagiannopoulos, Bobby A. Tajudeen, Mahboobeh Mahdavinia, Pete S. Batra   +13 more
wiley   +1 more source