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224 articles for “signals”
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Research ArticleOpen accessIn the keywordsApplication of Multi Task Analysis Model Based on EEG Features in the Study of the Correlation between Depression and Sleep Disorders in College StudentsFeng MaWith the improvement of multi-modal technology, research on depression recognition combining multiple biological signal features has been increasing. Electroencephalogram signals reflect brain activity, and by analyzing their characteristics, the accuracy and stability of depression recognition can be effectively improved. Therefore, this study proposes a correlation analysis between depression and sleep disorders in college students based on electroencephalogram feature analysis, innovatively … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 2 Feb 2026 · 1,994 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUse of Lazy Wavelet and DCT for Vibration Signal CompressionPierre ELE, Auguste Ndtoungou, Jean Pierre Ngantcha, Aimé Joseph Oyobe OkassaIn this study, we compress and decompress the vibration signals from the functioning of a ball bearing. The methodology used to compress the vibration data in this study is to reduce the size of the data by reducing the spectral redundancy of the samples. We have used the DCT, which is recognized for its representational parsimony and bleaching power. To … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 9 Jan 2021 · 6,863 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBlind Source Separation under Semi-White Gaussian Noise and Uniform Noise: Performance Analysis of ICA, Sobi and JadeRMuna H. Fatnan, Zahir M. Hussain, Hind R. MohammedA comparative study is presented to evaluate the performance of three important Blind Source Separation (BSS) techniques under noisy conditions. The ability of FastICA, SOBI and JadeR is tested in separating several kinds of signals under noisy conditions, including human speech and frequency-modulated (quadratic and linear FM) signals. Additionally, different mixing matrices are used to inspect the effect of the … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Dec 2018 · 7,982 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Model for Resolving Flow Parameters for MRI-Neuroimaging ApplicationMoses E. Emetere, M.L. AkinyemiThe functionality of recent neuroimaging using the MRI machine has generated errors which are peculiar to all kinds of MRI processes. Though hardwares are used to complement the MRI process, the problems are not completely solved due to its fundamental errors. The fundamental error is in the exclusion of molecular interaction in the ab-initio Bloch NMR. A new mathematical concept … …American Journal of Applied Sciences, Vol. 12, Issue 9 · 29 Sep 2015 · 6,724 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIdentification of Defects in Composite Materials Using an Improved Wavelet Analysis AlgorithmYahiaoui Aicha, Si-Chaib Med, O.A. ChellilProblem statement: The present work carries on the use of a method based on the wavelet transform to detect internal flaws of composite materials. The objective of this work consists in working out a data processing sequence of an ultrasonic signal identifying nearly flaws in composite laminate materials and estimating their position. Approach: The use of a numerical signal processing … …Physics International, Vol. 2, Issue 2 · 12 Mar 2012 · 8,163 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance of Thin-Film as Wavelength Filter in Wdm-Pof NetworkMohd Syuhaimi Ab. Rahman, L. S. Supian, Hadi Guna et al.Problem statement: Huge capacity for data transmission and bandwidth are becoming a need nowadays. High cost of implementation using optical fibers prevents utilization of the technology as wide as possible. Approach: Wavelength Division Multiplexing (WDM) was a technique that offers the solution for providing better bandwidth. WDM technique allows several signals that have different wavelengths to be transmitted in a … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 9 Dec 2011 · 7,270 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Dual-Slope Integration Based Analog-to-Digital ConvertorHasan KradProblem statement: With the advent of the advanced technology and the need for more advanced equipment, the current progress and development of electronic instruments stimulate more interest and efforts for more innovative ideas and better designs. Many real world physical values, such as sounds, temperature, pressure and humidity, can be measured as analog or continuous signals. However, to process these … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractHMA-RAG: A Hierarchical Memory Augmented Retrieval Augmented Generation Framework for Fake News DetectionAfnan Altarjami, Sawsan AlshattnawiExisting methods for detecting fake news, such as traditional machine learning and transformer-based models, often work as separate classifiers that do not use outside evidence, historical knowledge, or ways to make the results easier to understand. This paper presents a framework that combines retrieval augmentation and hierarchical memory to overcome three primary constraints: Insufficient external evidence, the absence of memory, … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 735 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BERKavitha Veerappan, Seetharaman GopalakrishnanRapid evolution of wireless communication technologies and emergence of 5G networks have addressed lack of spectrum resources, highlighting the need for innovative topologies to improve the spectrum utilization. Due to this reason, Cognitive Radio (CR) has evolved as an optimized solution to overcome these difficulties by allowing dynamic spectrum access, thereby reducing the under-usage of available spectrum. Considering this, precise … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 2,219 accessesView PDFCite