Suchergebnisse - "classification algorithm"

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities von Griffanti, Ludovica, Zamboni, Giovanna, Khan, Aamira, Li, Linxin, Bonifacio, Guendalina, Sundaresan, Vaanathi, Schulz, Ursula G., Kuker, Wilhelm, Battaglini, Marco, Rothwell, Peter M., Jenkinson, Mark

“… (Brain Intensity AbNormality Classification Algorithm), a fully automated, supervised method for WMH detection, based on the k-nearest neighbour (k-NN) algorithm …”
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Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network von Li, Hongli, Ding, Man, Zhang, Ronghua, Xiu, Chunbo

“… •Convolutional neural network and Long Short-term Memory Network are connected in parallel to form a fusion network.•The spatial feature, temporal feature and …”
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Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer’s disease using a high-performance interpretable deep learning network von Park, Ho Young, Shim, Woo Hyun, Suh, Chong Hyun, Heo, Hwon, Oh, Hyun Woo, Kim, Jinyoung, Sung, Jinkyeong, Lim, Jae-Sung, Lee, Jae-Hong, Kim, Ho Sung, Kim, Sang Joon

“… Objectives To develop and validate an automatic classification algorithm for diagnosing Alzheimer’s disease (AD …”
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Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm von Ohkawara, Kazunori, Oshima, Yoshitake, Hikihara, Yuki, Ishikawa-Takata, Kazuko, Tabata, Izumi, Tanaka, Shigeho

“… (gravity-removal physical activity classification algorithm, GRPACA) measured by a triaxial accelerometer …”
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DRsm: Star spectral classification algorithm based on multi-feature extraction von Yang, Jiaming, Tu, Liangping, Li, Jianxi, Miao, Jiawei

“… With the development of information technology, data-driven astronomical research has become a very popular subject …”
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Classification Algorithm for fNIRS-based Brain Signals Using Convolutional Neural Network with Spatiotemporal Feature Extraction Mechanism von Qin, Yuxin, Li, Baojiang, Wang, Wenlong, Shi, Xingbin, Peng, Cheng, Lu, Yifan

“… This graphic shows the structure of our network. In the preprocessing section, we used the Beer-Lambert law to convert the optical signals into hemodynamic HbR …”
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Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding von Sundaresan, Vaanathi, Zamboni, Giovanna, Le Heron, Campbell, Rothwell, Peter M., Husain, Masud, Battaglini, Marco, De Stefano, Nicola, Jenkinson, Mark, Griffanti, Ludovica

“… White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their characteristics both at population- and subject-level, making their detection a challenging task …”
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Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals von Rashid, Nasir, Iqbal, Javaid, Mahmood, Fahad, Abid, Anam, Khan, Umar S., Tiwana, Mohsin I.

“… In this study, electroencephalography (EEG) signals for four distinct motor movements of human limbs are detected and classified using a negative selection classification algorithm (NSCA …”
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A dynamic and self-adaptive classification algorithm for motor imagery EEG signals von Belwafi, Kais, Gannouni, Sofien, Aboalsamh, Hatim, Mathkour, Hassan, Belghith, Abdelfattah

“… •A novel dynamic and self-adaptive algorithm (DSAA) based on the least-squares method is proposed to select the appropriate couple of feature extraction and classification algorithms …”
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A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm von Khan, Rabia Avais, Rashid, Nasir, Shahzaib, Muhammad, Malik, Umar Farooq, Arif, Arshia, Iqbal, Javaid, Saleem, Mubasher, Khan, Umar Shahbaz, Tiwana, Mohsin

“… Robotics and artificial intelligence have played a significant role in developing assistive technologies for people with motor disabilities. Brain-Computer …”
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A cost-sensitive classification algorithm: BEE-Miner von Tapkan, Pınar, Özbakır, Lale, Kulluk, Sinem, Baykasoğlu, Adil

“… classifiers which minimize the total misclassification cost remains a subject of much interest …”
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A real-time classification algorithm for EEG-based BCI driven by self-induced emotions von Iacoviello, Daniela, Petracca, Andrea, Spezialetti, Matteo, Placidi, Giuseppe

“… The aim of this paper is to provide an efficient, parametric, general, and completely automatic real time classification method of electroencephalography (EEG) …”
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A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients von Ma, Pengfei, Dong, Chaoyi, Lin, Ruijing, Ma, Shuang, Jia, Tingting, Chen, Xiaoyan, Xiao, Zhiyun, Qi, Yongsheng

“… In the study of brain-computer interfaces (BCIs) based on steady-state visual evoked potentials (SSVEPs), how to improve the classification accuracies of BCIs …”
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An Automatic Sleep Stage Classification Algorithm Using Improved Model Based Essence Features von Shen, Huaming, Ran, Feng, Xu, Meihua, Guez, Allon, Li, Ang, Guo, Aiying

“… The automatic sleep stage classification technique can facilitate the diagnosis of sleep disorders and release the medical expert from labor-consumption work …”
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Multi-Classification Algorithm for Human Motion Recognition Based on IR-UWB Radar von Qi, Rui, Li, Xiuping, Zhang, Yi, Li, Yubing

“… In this paper, a multi-classification algorithm for human motion recognition based on Impulse-Radio Ultra-wideband (IR-UWB) radar is presented …”
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Face Recognition Using Sparse Fingerprint Classification Algorithm von Larrain, Tomas, Bernhard, John S., Mery, Domingo, Bowyer, Kevin W.

“… This paper addresses this problem by proposing a new approach called sparse fingerprint classification algorithm (SFCA …”
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Automatic classification of document resources based on Naive Bayesian classification algorithm von Wang, Rong

“… The automatic classification of document resources based on Naive Bayesian classification algorithm is detailed in this paper …”
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Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study von Sung, Sheng-Feng, Hu, Ya-Han, Chen, Chong-Yan

“… Electronic medical records store extensive patient data and serve as a comprehensive repository, including textual medical records like surgical and imaging …”
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Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians von Kaddoura, Tarek, Vadlamudi, Karunakar, Kumar, Shine, Bobhate, Prashant, Guo, Long, Jain, Shreepal, Elgendi, Mohamed, Coe, James Y, Kim, Daniel, Taylor, Dylan, Tymchak, Wayne, Schuurmans, Dale, Zemp, Roger J., Adatia, Ian

“… We hypothesized that an automated speech- recognition-inspired classification algorithm could differentiate between the heart sounds in subjects with and without pulmonary hypertension (PH …”
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A Novel Simplified Convolutional Neural Network Classification Algorithm of Motor Imagery EEG Signals Based on Deep Learning von Li, Feng, He, Fan, Wang, Fei, Zhang, Dengyong, Xia, Yi, Li, Xiaoyu

“… Left and right hand motor imagery electroencephalogram (MI-EEG) signals are widely used in brain-computer interface (BCI) systems to identify a participant …”
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