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535 articles for “vector”
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Articulation Point Technique in MANET
Abstract: The mobile ad hoc network, which is a wireless network of special type and has a collection of wireless hosts with wireless network interfaces, encompasses a temporary network, without any established infrastructure or centralized administration. All wireless nodes will start broadcasting again all the received broadcast messages. It is a common problem called as blind broadcast. Every node may receive the same copy of the messages from all the neighboring …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 3, 2016 · pp. 25–34 Read article
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Utilization of Statistical Learning Algorithms for Prediction of Elastic Modulus of Jointed Rock Mass
Abstract: This study uses two statistical learning algorithms for the prediction of elastic modulus (Ej) of jointed rockmass. The first algorithm uses support vector machine (SVM) that is firmly based on the theory of statisticallearning and uses regression technique by introducing -insensitive loss functionhas been adopted. Thesecond algorithm uses relevance vector machine (RVM). It is based on a Bayesian formulation of a linearmodel with an appropriate prior that results in a …
Published in Recent Trends in Civil Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 81–94 Read article
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Text Mining Algorithms in Social Media
Abstract: AbstractSocial networks are wealthy in different sorts of substance, for example, texts and multimedia. The capacity to apply text mining calculations viably with regards to content information is basic for a wide assortment of uses. Interpersonal organizations require text mining calculations for a wide assortment of uses, for example, watchword search, characterization, and bunching. While search and characterization are notable applications for a wide assortment of situations, interpersonal organizations have …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 26–29 Read article
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The effective therapeutic strategies to fight against COVID-19 in India
Abstract: In December 2019, the global pandemic coronavirus infection (COVID-19) was first detected in Wuhan, Hubei Province, Central China. It is caused by coronavirus-2, which causes severe acute respiratory syndrome (SARS-CoV-2). This was declared by World Health Organization on 11th March 2020. In India, the first case of COVID-19 infection was reported in Kerala on January 27,2020 of a 20 yr old female presented to an Emergency Department in General Hospital, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 12, Issue 1, 2022 · pp. 43–49 Read article
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Unsupervised Learning Techniques in Neural Network for Face Recognition
Abstract: This paper represents the review of systematic comparison between of unsupervised learning algorithms for face recognition. In neural network, different algorithms are used for face recognition. Each algorithm has different accuracy factors. Commonly these methods asset a set of base images and serve faces as linear combo of images. In our proposed review, firstly we discuss about the face detection using neural network along with the concept of digital image …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 25–29 Read article
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Prediction of Likelihood of Contraceptive Method among Women using Machine Learning Techniques
Abstract: This paper presents the various machine learning techniques and early fusion approach for analyzing usage of contraceptive methods among women. The analysis has been done using various nine features that the usage of contraceptive among women is whether low, high or not at all. This paper also evaluates the effect of contraceptive prediction is affected by men, age, and religion. Finally, comparison of classification accuracy has been employed between 22 …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Fake News Detection Using Multimodal Framework
Abstract: AbstractThe explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news analysis, detection and intervention. The explosive growth of fake news and its erosion to democracy, justice, and public trust increased the demand for fake news detection. As an interdisciplinary topic, the study of fake news encourages a concerted effort of experts in computer and information science, political science, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 14–20 Read article
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Semantic Classification of Images in Hierarchical Manner using Fuzzy Rules and HSVM Classifier
Abstract: Hierarchical structure classification is more effective in concept based classification. The feature vector is varying with the different concepts, though it belongs to the same class. Images which are similar in appearance are not correlated semantically. Hence an author made an attempt to classify the images in the dataset in concept wise in a hierarchical manner. For this, an author manually clustered the same concept images in a layer by …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 33–54 Read article
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Homogeneous geodesics on the solvable homogeneous principal bundles
Abstract: Let $M=G/K$ be a homogeneous differentiable manifold .We consider the homogeneous bundle $\Im=(G,\pi,G/K,K)$ and the tangent bundle $\tau_{G/K}$ of $M=G/K$. Let $G$ be a connected Lie group and $K$a closed subgroup of $G$. We take the Lie algebras $\cal{G}$ and$\cal{K}$ of $G$ and $K$ respectively and define $\xi=(G\times_{K}\cal{ G} / \cal {K}, \rho_{\xi}, \emph{G} / \emph{K},\cal {G} /\cal {K})$ to be the bundle associated with $\Im$. We considerthat $ \xi$ …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 26–37 Read article
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Stock Price Prediction Using Data Science Techniques
Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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Machine Learning Based Approaches for the Detection and Classification of Crop Leaf Diseases
Abstract: Crop leaf diseases pose a significant threat to agricultural productivity worldwide, leading to substantial crop losses and economic consequences. Timely and precise identification and categorization of these diseases are vital for effective disease management and safeguarding crops. Over the past years, machine learning methods have gained prominence due to their potential to automate disease diagnosis and classification procedures. This review paper presents an overview of the various machine learning based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 31–38 Read article
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Security Attacks and its Solution in VANETs
Abstract: A Vehicular Ad Hoc Network (VANETs) is a latest technology used now days for security and safety purpose of vehicles so that the rate of accidents can be reduced. VANETs can reduce various problems like road accidents, traffic jams, toll tax etc. through mobile nodes to mobile nodes and mobile nodes to roadside communications. However, the security for VANET is a major concern. In this paper we have discussed about …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 3, 2021 · pp. 17–23 Read article
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Massive Data Capturing and Transmission using Big Data Analytics Model with Machine Learning Prediction
Abstract: Deep learning techniques are widely used in many branches of research and engineering, including language processing, image classification, and speech recognition. Similar to this, processing vast amounts of data is restricted by a number of classical data processing approaches. To deal with information progressively with incredible exactness and effectiveness, huge information investigation requests spic and span, complex calculations in light of machine and profound learning methods. Recent research has, however, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 23–30 Read article
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Hyperspaces and Superspaces: Linearity and Boundedness
Abstract: Continuing the previous research, we analyze constructions of hyperspaces and superspaces elaborating classifications of such spaces. The main emphasis is on linear hyperspaces, which are formed over linear spaces with additional structures such as norms and seminorms. Linear hyperspaces are constructed over multiseminormed linear spaces and their properties are studied. In particular, it is demonstrated that a linear hyperspace over a multiseminormed linear space is a multihyperseminormed linear space. This …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 11–27 Read article
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System Learning Method Using Spam Filter
Abstract: System learning method can figure out how to perform essential tasks by generalizing from examples. This is often feasible and more effective where human programming is not. As large data becomes available, more ambitious problems can be tackled. As a result, System learning method is broadly used in computer science and other fields. However, developing successful System learning method using spam filter applications requires a substantial amount of “black art” …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 1, 2016 · pp. 19–27 Read article
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Enhancement of Security of Digital Persona
Abstract: This paper enhances the security features of an algorithm used in fingerprint reader software Digital Persona used to control the functioning of biometric reader. Concept of Biometric Encryption key is used unlike 128 bit encryption key used in it to prevent forgery.
Published in Journal Of Network security · Vol. 1, Issue 1, 2013 Read article
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Person Identification Using Iris, Facial Image and Fingerprint with the Combined Algorithm of Principle Component Analysis and Singular Value Decomposition
Abstract: In this research, we consider three most important biometric features such as fingerprint, iris, and facial image to identify a person more precisely. Unimodal biometric system has several problems, such as noisy background data, non-universality and spoof attacks. Multimodal biometric systems can solve these limitations effectively by using two or more individual modalities. This system propose the Multimodal biometric systems on fingerprint, iris and facial image using combined algorithm of …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 29–34 Read article
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Review Study of Overview, Description of Production Details with Mechanism of Action of Corona Vaccines
Abstract: Coronavirus has infected more than 180 countries. Corona virus was most quickly spread from the Wuhan human seafood market (South China). WHO named COVID-19 a worldwide pandemic disease in March 2020 as a consequence of a virus outbreak on the global level, it is transmitted through droplet infection which helps in the quiet spreading of the coronavirus. Several research has been conducted to combat the virus's spread, and vaccine has …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 1, 2023 · pp. 25–33 Read article
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Dispersion Analysis of TE Modes in 1D Magnetized Ferrite Photonic Crystals for Tunable and Switchable Band Gap Filtering Device Applications under Transverse Magnetization Configuration
Abstract: The article comprehensively explores the dispersion characteristics exhibited by TE modes within one-dimensional magnetized ferrite photonic crystals, particularly under the influence of transverse magnetization. We employed the rigorous transfer matrix method, a powerful tool for theoretical investigation, calculation, and behavior analysis of such intricate systems. Our research delves into the structural parameters that govern the behavior of these ferrite photonic crystals, explicitly focusing on the incident parallel wave vector (β) …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 60–68 Read article