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76 articles for “Bayesian”
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Security Vulnerability Assessment Of A Hypothetical Lng Gas Treating Plant Using A Spreadsheet Template
Abstract: The upsurge of terrorism and attacks on chemical plants in several nations, including Nigeria, has necessitated the need for vulnerability studies. This study uses the Security Vulnerability Assessment, Prevention, and Prediction approach to analyze the vulnerabilities of a hypothetical chemical plant using a developed spreadsheet template. With a safety barrier method, an attack model based on security barriers was developed. External, internal, interior, critical, and fail-safe security barriers were proposed …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Incomplete Information and Expected Performance Characteristics of Heat Engines
Abstract: In this paper, a connection between Bayesian statistics and the optimal performance characteristics of thermodynamic heat cycles is proposed. In particular, the subjective ignorance about internal energy scales of the working medium, quantified as a prior distribution leads to an expected behaviour of heat cycles which shows some remarkable thermodynamic features. It is shown that efficiency at maximum work is closely related to Curzon-Ahlborn (CA) efficiency. This efficiency usually appears …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 17–24 Read article
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Health Disaster Risk Assessment Using GIS and Remote Sensing Techniques: A Case Study of Malaria
Abstract: Malaria, curable and preventable, is a life threatening disease and also can be regarded as a concurrent health disaster. This disease is greatly influenced by environmental factors such as temperature, rainfall, humidity and altitude which affect the survival and longevity of the vector mosquito, and the presence of water bodies which are breeding sites. Advancement in GIS and remote sensing has brought about an improved spatial analysis through the integrated …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 50–59 Read article
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Parameter Estimation of Nakagami Distribution under Weighted Loss Function
Abstract: In this paper, the Nakagami distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the scale parameter have been derived under squared error and weighted loss functions by using quasi and inverted gamma priors.
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 2, 2021 · pp. 23–28 Read article
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Statistical Modeling: New Trends and Applications
Abstract: Statistical modeling plays a crucial role in various fields, aiding in decision-making, prediction, and inference. This article presents a comprehensive review of recent literature to identify and discuss the emerging trends in statisticaL modeling. The methodology involved a systematic search of relevant databases using specific keywords and selection criteria. The review highlights the limitations of traditional statistical modeling techniques and emphasizes the need for advancements in the field. The findings …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 1, 2023 · pp. 39–43 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 1–7 Read article
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Evaluation of Credit Risk of Bank Customers with a Hybrid Approach of Data Mining Techniques
Abstract: Credit risk poses the most significant threat to financial and monetary institutions. Banks strive to offer loans that generate high returns while minimizing risk. Achieving this requires the ability to accurately identify and classify credit customers, both individuals and legal entities, according to their likelihood of fully meeting their obligations. This classification is done using relevant financial and non-financial criteria. The primary goal of this study is to assess the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 63–81 Read article
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Efficient Classification of Noisy Text
Abstract: Textual content comprises a significant volume of data generated online on a daily basis. The web-generated data often consists of high levels of noise due to a variety of factors. Development of efficient systems for automatic classification of noisy data is a crucial task in text mining. This paper examines a technique for classification of noisy text which is based on multiple feature selection and supervised learning. The main aim …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 56–61 Read article
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A Study on the Intersection of Human and Artificial Intelligence through Augmented Analytics
Abstract: The amount of exertion put in analytics by humans is colossal. Analytics today predominantly consists of performing the same steps repeatedly manually. Augmenting practices leverage the idea of automating the steps which are repeatedly done by humans and coalesce it with decision making capabilities of mankind. This will furnish us with applications where machines will understand data and make automated business analytics with the help of machine learning and AI. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 7–12 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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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 4, 2021 · pp. 1–6 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 4, 2022 · pp. 11–18 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Blind Image Quality Assessment: An Overview
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach relies on a simple Bayesian inference model to predict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The estimated parameters of the model are …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 1–3 Read article
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Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel
Abstract: This paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm- Wave) multiple-input-multiple-output (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are used …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 1–6 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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Indirect Treatment Comparison in Meta-Analysis Using Three Methods for Rheumatoid Arthritis
Abstract: Background: The data were extracted from the comparative effectiveness review (CER) on pharmacological treatments for rheumatoid arthritis (RA) developed by the International University of North Carolina Evidence Based Practice Center (UNC EPC). The included studies enrolled patients with active RA despite oral disease-modifying antirheumatic drugs (DMARD) therapy. The outcome measures of choice were American College of Rheumatology (ACR) 20/50/70 response rates.Objective: To compare and find the best treatment for RA …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 1, 2018 · pp. 22–27 Read article
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A Comprehensive Method for Sentiment Analysis on Twitter Posts
Abstract: AbstractIn recent years, with ascent of users of social media, researchers get drawn to sentiment analysis. The challenge is that sentiment-dependent info from multiple sources does not seem to be thought of usually in existing sentiment classification techniques. Sentiment analysis is incredibly vital as a result of it helps folks and organizations in their decision-making process. There is vast explosion of “sentiments” on the market from social media like Twitter, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Comparing Algorithm Performance in Machine Learning for Landslide Susceptibility Studies: An Overview
Abstract: Machine learning algorithms have gained popularity over the past years, and with this comes the rise in their efficiencies; this study demonstrated that machine learning algorithms could successfully be used to identify landslide susceptibility areas. Machine learning algorithms like decision trees, support vector machines, K-Means, Hierarchical Clustering, Self-Organizing Maps (SOMs), artificial neural networks, and Bayesian networks have been used in recent studies. This study thus reviews several studies and results …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 71–89 Read article