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123 results for “noise effect”
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Research ArticleOpen accessEvery word in the titleEffects of N-Acetylcysteine on Auditory Brainstem Response Threshold Shift in Rabbits Exposed to Noise and Carbon MonoxideSeyedbagher Mortazavi, Masoud Motalebi Kashani, Ali Khavanin et al.Problem statement: Noise Induced Hearing Loss (NIHL) is one of the most important occupational disease in worldwide. NIHL has been found to be potentiated by simultaneous Carbon monoxide (CO) exposure. Exposure to noise plus CO is common in occupational and environmental settings. Free radicals have been implicated in cochlear damage resulting from exposure to noise and due to CO hypoxia … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 8,040 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFujisaki’s Model of Thai’s Fundamental Frequency Contours with Environmental NoisesSuphattharachai Chomphan, Chutarat ChompunthProblem statement: An important human speech feature is the fundamental frequency (F0) contour which represents the speech prosody. It indicates the naturalness and intelligibility of the speech. Modeling of fundamental frequency contour was an essential procedure in the natural speech processing. In speech communication, environmental noise plays an essential role in damaging the digital communication quality. The study of effects … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 7,284 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffects of Environmental Noises on Fundamental Frequency Contours of Thai DialectsSuphattharachai Chomphan, Chutarat ChompunthProblem statement: Fundamental Frequency (F0) is an important speech feature defining the human speech prosody. It is the resultant of the vibration of human’s vocal chords in speech production. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental noises are also playing an important role … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 9 Mar 2012 · 7,031 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCurie Point Depth (CPD) Investigation Of Offshore Niger Delta Using High Resolution Aeromagnetic DataOfoha Chimezie Charles, Emujakporue Godwin OmokenuOffshore Niger Delta, Nigeria, is known to be a hub for hydrocarbon exploration within the West Africa region and the world in general. The geologic settings within the Niger Delta province have a proven potential to assist in oil and gas exploration. However, much of the offshore provinces potential remains unknown with respect to the temperature differences using aeromagnetic data. … …Current Research in Geoscience, Vol. 8, Issue 1 · 18 Jan 2019 · 7,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 529 accessesView PDFCite
Research ArticleOpen accessIn the abstractMANAT: A Filtering-Based Method for Denoising Nonuniform Photogrammetric Point CloudsYun Sin Chong, Hui Hui Wang, Yin Chai WangThree-dimensional point clouds reconstructed from photogrammetry often exhibit noise and non-uniform sampling density, which challenges existing denoising methods that rely on precise normal estimation or extensive parameter tuning. This study presents the Multi Attribute Neighbour Attraction Technique (MANAT), a novel single-stage, density-adaptive filtering method that jointly leverages spatial position, surface normals, and color as inherent photogrammetric attributes for unified noise … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Adaptive Filters for Dynamic Mass Measurement of Moving Objects on Flexible PlatformsSergio Bimbi Junior, Flavio Celso Trigo, Agenor de Toledo FleuryDynamic mass measurement of moving objects on flexible platforms remains a significant challenge due to mechanical vibrations, structural flexibility, and the inherently low Signal-to-Noise Ratio (SNR) of strain gauge sensors. Traditional analog filtering approaches, such as Tow– Thomas active filters, exhibit limitations since gain stages propagate and may even amplify intrinsic noise, compromising metrological accuracy. This work proposes a hybrid … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 22 Apr 2026 · 2,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT ImagesMajzoob Kamalaldin Omer AbdalrahmanLiver cancer is one of the leading causes of mortality worldwide, and early detection using CT imaging plays a critical role in patient survival. However, the quality of CT scans is often degraded by noise, particularly in low-dose imaging intended to minimize radiation exposure. This study presents a comprehensive comparison of three multiresolution transform techniques, namely the wavelet, curvelet, and … …Journal of Computer Science, Vol. 22, Issue 1 · 4 Feb 2026 · 2,117 accessesView PDFCite