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2000 articles for “methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Intercomparison of Peak Flood Discharge Estimates Using Normal, Gamma and Extreme Value Families of Distributions
Abstract: Estimation of Peak Flood Discharge (PFD) for a given return period is utmost importance for planning, design and management of hydraulic structures. This can be achieved through Flood Frequency Analysis (FFA) that involves fitting normal, gamma and extreme value families of distributions to the series of observed annual maximum discharge data. Based on the intended applications and the variate under consideration, Method of Moments (MoM), Maximum Likelihood Method (MLM) and …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 9–25 Read article
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Innovative Solutions to Water Supply Challenges through Water Sanitation and Hygiene Practices in Nigeria
Abstract: Innovative solutions to water supply and challenges in Nigeria can be achieved through effective and all encompassing Water Sanitation and Hygiene (WASH) implementation strategies. This paper examined innovative solutions to water supply challenges through water sanitation and hygiene practices. Methodology used includes thorough investigation of WASH activities in Nigeria, expert opinions and literature surveys. Findings reveal that some communities in Nigeria are yet to fully utilize WASH services. In order …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 2, 2021 · pp. 21–31 Read article
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Tomato (Lycopersicon Esculentum Mill.) Yield and Yield Component Evaluation using Bottle Drip Irrigation in Yabello District, Southern Ethiopia
Abstract: Drip irrigation is the most proficient systems in supplying water to plant root but it still allows relatively high evaporation especially in clay soils. Thus identifying the high performing water delivering technology for limited water region is fundamental for high yield and water productivity. Bottle irrigation is more appropriate with not quantified results in these studies in saving water. The trials were replicated three times in RCBD for comprising of …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 2, 2021 · pp. 37–43 Read article
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An Improved Approach for Edge Detection of Noisy Images
Abstract: Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Rothwell-Sobel-Prewitt edge detectors …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 7–13 Read article
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IoT Smart Waste Monitoring and Collection Framework
Abstract: Abstract - Solid waste management is one amongst the present challenges in urban areas and it's turning into a vital issue thanks to the fast increase in applicable solid waste management systems area population unit vital for up the setting and also the well-being of this paper, an Internet of Things(IoT) design for real-time residents. during waste watching and assortment has been proposed; able to improve and optimize solid waste …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 27–32 Read article
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Combination of Sobel-Rothwell-Bergholm Edge Detectors: An Experimental Measure for Edge Detection of Images
Abstract: Edges of an image can be considered as a type of important information which can be extracted by applying several edge detectors with different techniques. Edge detection is a fundamental and crucial subject in computer vision and image processing. In this paper, a novel edge detection technique which computes edges of different images using the combination of Sobel-Rothwell-Bergholm edge detectors is presented. This method can be considered as template for …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 22–27 Read article
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Digital Signature Scheme for Image
Abstract: : Image authentication techniques have currently added great consideration due to its importance for a large number of multimedia applications. Digital images are progressively communicated over non-secure channels such as the Internet. Therefore, military, medical and quality control images must be protected against attempts to manipulate them; such manipulations could tamper the decisions based on these images. To protect the authenticity of multimedia images, several approaches have been proposed. These …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 41–48 Read article
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Improved Approaches of Image Forgery Detection using SURF and 4-level DWT
Abstract: ABSTRACT Today, there are various types of image tampering techniques, and copy-move forgery is one of them in which a piece of the picture is copied and pasted on another part of a picture. The study reviewed the several methods proposed to achieve this goal. This method generally uses both the feature point-based and the block-based algorithm. We use DWT (discrete wavelet transforms) for the decomposition of an image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article
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A Simple and Fast Skull Stripping Technique for Brain MR Images
Abstract: Skull stripping is an important aspect of study in the field of Medical image processing. It eliminates the present non-cerebral tissues from the MR image to improve the speed and accuracy of the algorithm. An unsupervised double segmentation based method has been proposed for faster processing. Threshold values required for double segmentation are obtained using the Otsu algorithm. This method avoids the conventional Morphological Opening and Morphological Closing operations to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 1–4 Read article
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Facial Expression Classification using Multi-Scale Histogram of Oriented Gradients
Abstract: An automatic facial expression classification method, based on multiscale Histogram of Oriented Gradients (HOG) features extracted from sub-facial image patches, is proposed in this paper. A number of multiclass Support Vector Machines (SVM) are designed using the multiscale HOG features for classifying six basic facial expressions for frontal face images. The proposed method, with a simple design and few training data, achieves descent classification accuracy at a very low computational …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 5–13 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article
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For Analyzing Fraud in Credit Cards, Fuzzy Particle Swarm Optimization (FPSO) with Enhanced Support Vector Machine (ESVM) Classifier
Abstract: Credit cards are extremely significant in today’s economy. However, as the number of Credit Card clients grew, so did the number of Credit Card fraud instances. To fight the upward thrust in credit score card fraud, a number of techniques were recommended. In previous study, a unique fraud detection system was presented that uses similar cardholders’ behavioural patterns to construct a recent behavioural profile of a cardholder in order to …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 1–12 Read article
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Mechanized Physiotherapy Device for Accident Victims
Abstract: Assistive robots are in high demand because they allow people to work freely. Physiotherapy is a outstanding recovery session given to mostly all accidental victims during recovery span. Although, due to the experimental nature of examination, assessment, and treatment, the lack of scientific measures, current methodologies, and modernization, as well as the empirical nature of examination, assessment, and treatment, this endeavour is hampered. This paper proposes an idea of using …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 21–26 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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An Analytical Approach for Optimal Siting and Sizing of Distributed Generation in Radial Distribution Systems
Abstract: In this study, an analytical approach based technique is presented for optimal sizing and siting of distributed generation (DG) units in balanced radial distribution system. The formulations of developed technique are based on reducing the active and reactive components of system loss related to branch currents. In the proposed technique the magnitude of branch current is reduced by installation of DG units at various positions in distribution system. According to …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 1, 2016 · pp. 36–42 Read article
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A Review of Different Iris Recognition Systems
Abstract: Recognition of a person based on the iris structure has become a trending authentication method. Iris recognition systems have many advantages as compared to other authentication methods such as accuracy, reliability and uniqueness and hence it is used in many applications. The main applications are, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs), banks etc., border control in airports and harbors. This paper deals with the …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 16–22 Read article