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1927 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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CMC/SWCNT Nanocomposites for Sustainable Smart Metering Sensors: Percolation-Driven Structure–Property Optimization, Experimental Validation, and Literature Benchmarking
Abstract: Biodegradable sensing materials are needed for sustainable smart electricity metering, yet cellulose/single-walled carbon nanotube (SWCNT) systems lack a unified percolation and structure–property description. This study develops carboxymethyl cellulose (CMC)/SWCNT nanocomposite films by solution casting, with SWCNT loadings of 0.0–5.0 wt%, and evaluates their electrical, mechanical, thermal, sensing, and biodegradation behavior. Percolation analysis of the insulator-to-conductor transition gave a critical threshold (φc) of 0.9 ± 0.1 wt% and a critical exponent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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AIS-MACA- Z: MACA based Clonal Classifier for Splicing Site, Protein Coding and Promoter Region Identification in Eukaryotes
Abstract: Bioinformatics incorporates information regarding biological data storage, accessing mechanisms and presentation of characteristics within this data. Most of the problems in bioinformatics and be addressed efficiently by computer techniques. This paper aims at building a classifier based on Multiple Attractor Cellular Automata (MACA) which uses fuzzy logic with version Z to predict splicing site, protein coding and promoter region identification in eukaryotes. It is strengthened with an artificial immune system …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 1, 2014 · pp. 1–6 Read article
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Review on Metal Bellows Used in Expansion Joints
Abstract: Metallic bellows are manufacturing expansion joints commonly used in aerospace, chemical plants, power system, heat exchangers, automotive vehicle parts, piping system, petrochemical plant, refineries, etc., which are subjected to high temperature, pressure and corrosive environment. Bellows are special structures that require high strength as well as good flexibility. Most industrial piping system often suffer excessive deformation, displacement, heat expansion, vibration, and other causes which are responsible for the failure. During …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 1, 2016 · pp. 1–12 Read article
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Asynchronous Check pointing Protocols for Cluster Based MANETs: A Comparative Analysis
Abstract: The recent advancement in the field of wireless networking and mobile computing has led to the development of variety of applications for wireless networks. Mobile Ad Hoc Networks (MANETs) are emerging as one of the major wireless technology in the field of mobile computing. A MANET is a group of mobile devices or nodes that are self-configurable and can communicate using wireless links. The nodes of such a network have …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 19–25 Read article
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A Review on Sybil Attack in Wireless Sensor Network Using Different
Abstract: Disseminated networks, not including trusted identities are predominantly susceptible to sybil attacks, where an opponent generates numerous bogus identities to the operation of weakened network. Here, we reward sybil defender, a sybil security scheme that impacts the network topologies to look after towards sybil attack in social communities. Taking into account performing a restricted amount of random walks within the social graphs, sybil defender is proficient and versatile to huge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 2, 2016 · pp. 11–16 Read article
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A Comparative Study on Detection of Different Disease Using KNN
Abstract: Nowadays many approaches are made to detect or predict any disease in human body using different data mining techniques. This paper is an approach to study K-nearest neighbor (KNN) classification technique used in different disease prediction. Nowadays number of diseases are needed to be classified and are threat to the human life. Here KNN approach on disease are tuberculosis, heart disease, diabetes, chronic renal failure, neuromuscular disease and brain MRI …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 11–16 Read article
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The Next Level Computing: Quantum Computers
Abstract: Abstract: Quantum computer is an emerging technology. The quantum computer is based on quantum physics, as like the quantum particles. The normal computers work on two states 0 and 1 but this quantum computers work on three states 0, 1, 0 or 1. These quantum computers are used in the system where very high speed is required. But in present scenario, this computer is not developed.Keywords: Qubits, QuAIL, D-wave, quantum …
Published in Journal of Open Source Developments · Vol. 6, Issue 3, 2019 · pp. 19–22 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments · Vol. 8, Issue 1, 2021 · pp. 11–25 Read article
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Design and Simulation of Proximal Convoluted Tubule Flow Kinetics for Kidney-on-chip Applications
Abstract: The primary function of human kidney is purifying the impure blood in the body. In addition to this, kidney performs balance homeostasis, solute balance and blood pressure maintenance. Proximal convoluted tube (PCT) is a primary part in the nephron which plays a crucial role in the excretion, secretion and re-absorption of solutes and proteins. While performing all these functions, kidneys tends to get affected in several ways leading to failure …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 14–21 Read article
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Rainfall Forecasting Using Optimized Support Vector Regression Technique
Abstract: Abstract—Rainfall prediction has been an important area of research in the field of hydrology. In this article an attempt is made to apply Support vector regression (SVR) in annual rainfall forecasting and comparing its performance with other models like Random forest regression (RFR) and Artificial Neural Network (ANN) model. This study proposes an approach by combining grid search technique with SVR model. Grid search technique carefully tunes the SVR’s hyper …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 2, 2019 · pp. 29–33 Read article
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Intelligent Ranking Techniques for Software Reliability Growth Models
Abstract: AbstractReliability is gaining a lot of importance in the modern society, be it gadgets, automation, hardware, software or any other application. We are getting dependent more on machines and so is the need for relives ability gaining more weightage. This paper focuses on software reliability and the complexity involved in the prediction of reliability of the developed software. The paper introduces various assumptions and pre-requisites for software reliability modeling. Different …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 3, 2017 · pp. 22–29 Read article
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Fibonacci Cordial Labeling of Some Graphs
Abstract: An injective function f: V (G) → {F0, F1, F2, . . . , Fn+1}, where Fj is the jth Fibonacci number (j = 0, 1, . . . , n+1), is said to be Fibonacci cordial labeling if the induced function f ∗ : E(G) → {0, 1} defined by f ∗(uv) = (f (u) + f (v))(mod2) satisfies the condition |ef (0) − ef (1)| ≤ 1. A …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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Stock Exchange Forecasting Using Sentiment Analysis and Machine Learning Approach
Abstract: Every penny traded in the market is a speculator, like millions of bucks transfer every day. System behavior dictates the trust of many organizations daily. Financial professionals no doubt endeavored for the foresee stock exchange from the beginning. Systems are beginning to use the sentiment analysis-based machine learning approach. For financial professionals, the ability to accurately predict changing trends is an attractive guarantee of wealth and influence. When things get …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 3, 2022 · pp. 18–24 Read article
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On the Pendant Number of Some New Graph Classes
Abstract: AbstractA decomposition of a graph is a collection of its edge disjoint sub-graphs such that their union is . If all the sub-graphs in the decomposition are paths, then it is a path decomposition. In this paper, we discuss the pendant number, the minimum number of end vertices of paths in a path decomposition of a graph. We also determine this parameter for some graph classes.Keywords: Decomposition, path decomposition, pendant …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 15–21 Read article
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Subtract Divisor Cordial Labeling of Ring Sum of a Graphs
Abstract: Abstract: A subtract divisor cordial labeling of a graph G with vertex set is a bijection f from V to {1, 2,…, |V|} such that an edge is assigned the label 1 if 2 divides (f(u) – f(v)) and 0 otherwise, then number of edges labeled with 0 and the number of edges labeled with 1 differ by at most 1. A graph with a subtract divisor cordial labeling is …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 3, 2019 · pp. 23–28 Read article
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Downhill Zagreb Polynomials of Graphs
Abstract: AbstractIn a number of applied and theoretical environments, graph polynomials and their roots have emerged. To deeply explore counting sequences connected to different graph parameters, graph polynomials have been introduced as generating polynomials. In addition, there has been a great deal of recent interest in graph polynomials. The first, second and forgotten downhill Zagreb indices are defined as and . In this paper, we define and study the first, second …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 3, 2020 · pp. 15–26 Read article
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COVID-19 Detection through Deep Learning Models using Chest X-ray
Abstract: Detection of COVID-19 in a minimum amount of time is one of the biggest challenges in front of us because COVID-19 is a rapidly spreading disease. Patients are increasing in a rapid amount of time. Hence, we proposed an AI-technique based deep-convolutional neural network to detect COVID-19 patients using real-world data. In our proposed system, chest X-ray images are used to find out COVID- 19 patients. X-rays are available very …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 11–16 Read article
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Machine Learning Based Automated Detection of Sepsis: A Study
Abstract: Sepsis is a serious condition that occurs when the body's response to infection leads to tissue damage, organ failure, or death. Human body generally releases chemicals into the blood vessels to fight any kind of infection. Approximately 30 million people suffer from sepsis and 6 million people die from sepsis every year according to WHO. Around 4 million 200 thousand new-born and children are affected by sepsis all over the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 1–10 Read article
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Object’s Area Measurement using Image Processing
Abstract: Object measurement holds substantial significance across a wide spectrum of domains, spanning from quality control in manufacturing to applications in healthcare and environmental monitoring. In this study, a method is suggested to detect the object and calculate the area of the given object in real time using MATLAB. Also, comparing the result obtained with the known area and seeing how accurate the area calculated is. The proposed method for detecting …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 34–41 Read article