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69 articles for “mean filter”
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Pregnancy Outcomes on Chronically Hemodialyzed Women in Arab World: A Systematic Review
Abstract: Pregnancy carries a major risk of difficulties, as highlighted by the present systemic study on pregnancy outcomes in persistently hemodialyzed women in the Arab world. The objective of this systematic review was to describe the pregnancy outcomes among chronically hemodialyzed pregnant women in Arab countries in terms of the incidence of pregnancy among women on maintenance hemodialysis and the incidence of maternal and fetal complications of pregnant women on hemodialysis. …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 25–36 Read article
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Evaluation of Image Reconstruction Techniques in Single Photon Emission Computed Tomography (SPECT/CT) Imaging
Abstract: AbstractThis work is aimed at evaluating the image reconstruction techniques used in single photon emission computed tomography (SPECT/CT) imaging. The reconstruction techniques considered in this work are: the ordered subset expectation maximization (OSEM) and the Filtered Back Projection (FBP). An anthropomorphic torso phantom with lung and liver inserts was injected with 99mTc. The liver and the background were given 0.2 MBq/ml and 0.07 MBq/ml respectively. The lungs inserts were filled …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 2, 2016 · pp. 13–22 Read article
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Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
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Comparative Analysis of Digital Image Watermarking using DCT and DWT
Abstract: AbstractWatermarking is a technique to hide information into digital data and provides security against intentional and unintentional attack. It is a very important and emerging field which helps to protect ownership of digital information. Watermarking is the process of inserting or hiding information behind cover data. In this paper we discussed about two digital watermarking techniques, Discrete Cosine Transform (DCT) and discrete wavelet Transform (DWT). The parameters to test robustness …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 1–5 Read article
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Low-light Video Enhancement with SVD-DWT Algorithm for Multimedia Surveillance Network
Abstract: After the outbreak of the global pandemic COVID-19, video surveillance has become an important aspect of multimedia communication in monitoring-based systems, security systems, object tracing etc. However, due to drawbacks like video frame distortion, the quality of the video in surveillance may be affected in some cases. In this work, a video enhancement-based multimedia surveillance network has been developed by using a Discrete Wavelet Transform (DWT) and Singular Value Decomposition …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 42–50 Read article
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Non-Invasive Glucose Monitoring Device Using Max30102 Sensor
Abstract: Diabetes mellitus is a chronic metabolic disorder affecting millions globally, requiring continuous blood glucose monitoring to prevent complications such as cardiovascular disease, kidney failure, neuropathy, and retinopathy. Conventional invasive finger- prick techniques result in pain, skin irritation, and an increased risk of infection, which lowers patient compliance, particularly in young patients and the elderly. This paper presents a non-invasive glucose monitoring prototype using the MAX30102 optical biosensor interfaced with the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 36–44 Read article
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A Suboptimal Nonlinear Duty-cycle Modulation Scheme
Abstract: The DCM (duty-cycle modulation) technique is increasingly used in industrial electronics applications, including instrumentation systems, interfacing drivers and signal transmission chains. However, in existing research works related to new applications of DCM technique, the linear approximation policy is used for the sake of structural simplicity and low implementation cost, at the expends of rigorous analysis and low approximation errors. In this paper, a suboptimal nonlinear DCM scheme is developed. It …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 22–31 Read article
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Utilizing ML for Hand Gesture Recognition
Abstract: Hand gestures are an instinctive and common method of communication during human interactions, representing a form of non-verbal expression. Gesture recognition technology aims to interpret and classify meaningful movements performed by human hands. The motivation behind its development is to revolutionize human-computer interaction, addressing drawbacks found in current systems. The study presents a novel algorithm that eliminates the requirement for image background filtering. This algorithm proves versatile, capable of recognizing …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article
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Dual-Wavelength and Tunable Fiber Lasers for Microwave Photonic Applications
Abstract: Dual-wavelength and tunable fiber lasers have emerged as key enabling technologies for advanced microwave photonic (MWP) systems, offering high spectral purity, wide tunability, and enhanced stability. These laser sources play a critical role in generating and processing microwave and millimeter-wave signals through optical means, enabling low-loss transmission and immunity to electromagnetic interference. This review presents recent progress in the design and implementation of dual-wavelength and tunable fiber lasers, highlighting their …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 17–25 Read article
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A Novel Feature Level Fusion Method for Classification of Remote Sensing Images
Abstract: Feature level fusion approach is utilized in this paper to classify remote sensing images. Texture features are extracted from panchromatic images using mixed Gabor filter (GB), fast gray level co-occurrence matrix (GLCM) and linear binary pattern (LBP). The resultant texture features are classified using nearest neighbor (k-NN) classification method. Spectral features are extracted from the MS image and segmented using over segmented k-means algorithm with novel initialization (OSKNI). Finally the …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 58–65 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 9–22 Read article
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Nonlinear Channel Equaliser using Discrete Gabor Transform
Abstract: ABSTRACTThe adaptive equaliser makes use of adaptive digital filters whose filter coefficients are modified depending on the channel characteristics at the front end of the receiver. The noise introduced in the channel gets nullified and hence the signal-to-noise ratio of the receiver improves. Discrete Gabor Transform (DGT) helps decorrelate input data because of which the convergence speed of the Mean Square Error (MSE) improves considerably. It is found that the …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 63–74 Read article
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DEM Processing Methods
Abstract: Digital elevation model (DEM) is used generically to mean the digital cartographic representation of the earth in any form, rectangular grids or lattices, triangular networks or irregular spot heights, and breaklines. This paper aims to present a review of recent techniques used in satellite image processing, especially with focus on DEM processing. The reviewed approaches are classified according to the various techniques used in processing DEM, various filters used in …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 13–28 Read article
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Overview and Performance Evaluation of BM3D Image Denosing
Abstract: We propose an information subordinate denoising technique to restore uproarious pictures. Not quite the same as existing denoising calculations which hunt down patches from either the boisterous picture or a nonexclusive image, the new calculation finds patches from an inputting image that contains applicable patches. We detail the denoising issue as an ideal channel plan issue and make two commitments: Initially, we decide the premise capacity of the solving so …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 2, 2016 · pp. 23–29 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Study of Spectrum Sensing Techniques for OFDM-based Cognitive Radio
Abstract: Nowadays OFDM (Orthogonal Frequency Division Multiplexing) techniques are adopted by many existing or progressing wireless communication standards. OFDM’s sensing and spectrum shaping capabilities together with its flexibility and adaptivity make it the best transmission technology for CR system. Spectrum sensing helps to detect the spectrum holes (unutilized bands of the spectrum) providing high spectral resolution capability. Thus, a robust spectrum sensing algorithm for OFDM modulated signals is highly decide to …
Published in Recent Trends in Electronics Communication Systems · Vol. 1, Issue 1, 2014 · pp. 25–31 Read article