Search Results - signal data processing and classification

Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…First, the VMD-LMS process handles complex non-stationary signals, addressing the issue of mode mixing. …”
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Deep Learning in Wireless Communication Receivers: A Survey by Shadman Rahman Doha, Ahmed Abdelhadi

“…The design of wireless communication receivers to enhance signal processing in complex and dynamic environments is going through a transformation by leveraging deep neural networks (DNNs). …”
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High-Resolution Localization Using Distributed MIMO FMCW Radars by Huijea Park, Seungsu Chung, Jaehyun Park, Yang Huang

“…To further enhance estimation accuracy, received signals or MUSIC spectra from multiple FMCW MIMO radars are often collected at a data fusion center and processed coherently. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

“…Firstly, the original sound signals are separated into harmonic and percussive components by the HPSS algorithm, and then each component is processed by the CIS algorithm of cochlear implant to obtain electrode stimulation signal that can simulate human hearing. …”
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End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

“…The proposed approach addresses these issues by learning discriminative patterns directly from raw sensor data and automating the classification process. The results confirm that this approach can reduce the need for human expert engagement during commissioning, eliminate redundant inspection steps, and improve fault detection consistency, offering significant production efficiency gains.…”
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Journal Bearing Fault Detection Based on Daubechies Wavelet by Narendiranath Babu THAMBA, Himamshu H S, Prabin Kumar NAYAK, Rama Prabha D, Nishant CHILUAR

“…ANN was able to classify the faults with the classification rate of 85.7%. Thus, the test process for unseen vibration data of the trained ANN combined with ideal output target values indicates high success rate for utomated bearing fault detection.…”
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An Efficient Continuous-Variable Quantum Key Distribution with Parameter Optimization Using Elitist Elk Herd Random Immigrants Optimizer and Adaptive Depthwise Separable Convolutio... by Vidhya Prakash Rajendran, Deepalakshmi Perumalsamy, Chinnasamy Ponnusamy, Ezhil Kalaimannan

“…The quantum state is evaluated based on the signal received, and raw data are collected. Thereafter, a connection is established between the transmitter and receiver. …”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

“…The analysis declares substantial advancements in testing methodologies, signal processing, and data interpretation techniques for evaluating the structural integrity of deep foundations. …”
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Myocardial Ischemia Detection Using a Reduced Number of ECG Leads by А. В. Мневець, Н. Г. Іванушкіна, К. О. Іванько

“…These features together with other calculated parameters are assumed to describe the majority of pathology cases and gave a high accuracy of the classification ECG to norm and ischemic myocardial diseasesince they reflect the bioelectrical processes that occur in the presence of myocardial ischemia and manifest themselves on the surface ECG. …”
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Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters by Pablo José Hueros-Barrios, Francisco Javier Rodríguez Sánchez, Pedro Martín Sánchez, Carlos Santos-Pérez, Ariya Sangwongwanich, Mateja Novak, Frede Blaabjerg

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Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering by Mohammad Amin Lotfi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri

“…The feature extraction process is centered around capturing inherent variations in spike waveforms, assuming that strong signal correlations enable the extraction of optimal features. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…<p>Statistical methods employed in evaluating the quality of service (performance) of mobile broadband (MBB) networks face drawbacks relating to the accurate and reliable processing of the huge amounts of heterogenous real time traffic data generated from MBB networks. …”
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TECIS-CASNet: atmospheric hierarchy identification and application of the terrestrial ecosystem carbon inventory satellite by Jiaqi Yao, Hui Lu, Nan Xu, Guoyuan Li, Xinming Tang, Chen Ma, Zhao Liu, Qingkai Lu, Haobin Xia, Huichao Xin, Jiarui Wu, Taixia Wu

“…The TECIS-CASNet has great potential for satellite LiDAR data processing and climate change.…”
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Discovery of isomiRs in PBMCs of diseased vis-à-vis healthy Indian water buffaloes by Jasdeep Kaur Dhanoa, Jasdeep Singh, Amarjit Singh, Jaspreet Singh Arora, R. S. Sethi, C. S. Mukhopadhyay

“…Functional classification of the target genes indicated that these target genes were involved in different systems biology related functions like molecular binding, enzyme modulation, signal modulation, etc. …”
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Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

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Application of radiofrequency features in the diagnosis of severity of fatty liver disease by Zhixiang Wang, Xuebin Cao, Yiran Wang, Jiaqi Han, Jianguo Ma, Xiangdong Hu

“…RF features were extracted from raw RF signal data using envelope statistics and spectral parameter calculation methods. …”
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SYSTEM FOR DETECTION AND IDENTIFICATION OF POTENTIALLY EXPLOSIVE OBJECTS IN OPEN AREA by Ivan Pakhnуts, Sofiia Khrustalova, Kirill Khrustalev

“…The following methods are used in the work: the mathematical method of constructing cartographic grids, the method of recording infrared radiation, the method of eddy currents, methods and means of data collection and processing. The following results were obtained: the components of the system were selected, the structure, diagram and algorithm of the software tool for the identification of potentially explosive objects in the open area were developed, and the corresponding software was created. …”
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YOLOv5-DTW: Gesture recognition based on YOLOv5 and dynamic time warping for digital media design by Lu Zhao, Jing Yu

“…The traditional real-time gesture recognition model is not adaptable to illumination changes, complex background and other interference factors, and the used classification data set only contains specific gestures, which is insufficient in practical application. …”
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Sistem Pendeteksi Central Sleep Apnea Menggunakan Metode Neural Network dengan Fitur RR Interval dan Durasi QRS by Dittha Ratanasari, Edita Rosana Widasari, Rizal Maulana

“…It has been evaluated to help in the diagnosing process and uses cardiac ECG data since the heart rhythms alter during periods of abrupt stoppage during sleep. …”
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Hybrid Deep Learning Approach for Automated Sleep Cycle Analysis by Sebastián Urbina Fredes, Ali Dehghan Firoozabadi, Pablo Adasme, David Zabala-Blanco, Pablo Palacios Játiva, Cesar A. Azurdia-Meza

“…Recently, machine learning approaches have exhibited high accuracy in applications such as the classification and prediction of biomedical signals. This study presents a hybrid neural network architecture composed of convolutional neural network (CNN) layers, bidirectional long short-term memory (BiLSTM) layers, and attention mechanism layers in order to process large volumes of EEG data in PSG files. …”
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