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548 articles for “vector”
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article
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Study of Platelet Count in Dengue Fever, Function and Their Importance in Hemostasis
Abstract: Dengue infection is a major vector-borne disease. Compatible hematological discovery comprises of vasculopathy, thrombocytopenia, and coagulopathy. The study comprises of 60 patients and all the cases were studied in the Department of Pathology, Kachchhi laboratory, Amreli, Gujarat, India. In this study, out of 60 cases, there were 12 cases of IgG positive and 31 cases of IgM positive. In which seven males had IgG infection and 18 males had IgM …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 1, 2019 · pp. 1–3 Read article
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Canine Ehrlichiosis and Its Diagnostic Techniques: Review
Abstract: Canine monocytic ehrlichiosis, caused by Ehrlichia canis is one of the important immuno-suppressive infectious vector-borne diseases of dogs. Importantly, canine ehrlichiosis can be caused by different Ehrlichia species, which are intracellular rickettsial organisms belonging to the order Rickettsiales and included in the family Rickettsiaceae. Ehrlichias are the obligate intracellular organisms that affects the host immunologic response. It is typically a disease of leukocyte and platelet manifested by an acute reduction …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 1, 2020 · pp. 1–11 Read article
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Formulation and Evaluation of a Herbal Mosquito Repellent
Abstract: Mosquito bites can give an unpleasant feeling and are attracted to human blood containing protein to develop their eggs, biting human to another human, thereby transmitting the vector disease to human. Many species of mosquitoes are vectors of several disease causing pathogens such as dengue, zika and yellow fever. Dengue fever and yellow fever can cause severe human morbidity and mortality. Over one million people worldwide die from mosquito diseases …
Published in Research and Reviews: A Journal of Medicine · Vol. 12, Issue 1, 2022 · pp. 13–16 Read article
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Viral Elimination Strategies for Musa spp.
Abstract: Banana is one of the major crops in tropical parts of the world. The banana plant is susceptible to many diseases due to the less genetic diversity in its popular cultivars. Particularly viral diseases can severely destruct quantity and quality of the crop. Four major banana infecting viruses doing the damage- banana bunchy top virus, banana streak virus, banana bract mosaic virus, cucumber mosaic virus; two other viruses- banana mild …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 1, 2018 · pp. 7–14 Read article
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Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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Performance Comparison of Multi-hop Wireless Ad Hoc Network Routing Protocols using NS2
Abstract: Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes that forms a temporary network without any administrative support. Ad Hoc Networks are characterized by multi-hop wireless connectivity because of limited transmission range, it’s dynamically changing network topology requires efficient routing protocols. Over the years, many routing protocols have been developed for such environments like; Ad Hoc On-demand Distance Vector routing (AODV), Temporary Ordered Routing Algorithm (TORA), Dynamic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 24–33 Read article
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An Approach of Multi-modal Biometric Iris and Speech based Person Recognition System with Decision Fusion Technique
Abstract: This paper presents a unique approach of multi-modal iris and speech feature based person recognition system. Iris images and speech signals are taken from CASIA iris database and NOIZEUS speech database respectively. Iris features are extracted after applying iris images noise removing and image pre-processing techniques. On the other hand, speech signal noise removing, start-end points detection algorithm, silence parts removal, windowing and feature extraction techniques are applied to extract …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 5–10 Read article
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Analysis of Side View Face Recognition Using Gabor Filter and PCA Techniques
Abstract: AbstractRecognition of human side face is being a dynamic research area in recent era. A different system for face recognition including side view confront has been proposed in this paper. Face recognition utilizing blocked face or using a small portion of the face is still an issue in human recognition which has incredible potential in criminological and security applications. The paper gives a concise thought regarding PCA and 2DGF systems …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 21–27 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article
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An Analysis on Gender Classification using Face Images Using DWT, (2D)2PCA and SVM
Abstract: AbstractClassifying gender compared to others and is used in this work. Biometry is the use of physical characteristics like face, fingerprints, iris, etc. of an individual for personal identification. Some of the difficult issues of face biometrics are face detection, face recognition, and face identification. These problems are being researched by the computer vision community for the last few decades. Considering the big population, the authentication process of an individual …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 30–40 Read article
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Prediction of Human Heart Disease
Abstract: AbstractData mining techniques have been widely used in clinical decision support systems for prediction and diagnosis of various diseases with good accuracy. These techniques have been very effective in designing clinical support systems because of their ability to discover hidden patterns and relationships in medical data. One of the most important applications of such systems is in diagnosis of heart diseases because it is one of the leading causes of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 2, 2019 · pp. 27–31 Read article
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Fixing Broken Link in Linked Data (LOD) from Source Point and Destination Point
Abstract: The advent of the Linked Open Data (LOD) initiative gave birth to a variety of open knowledge bases freely accessible on the web. The LOD activity has propelled various establishments to distribute their information on the web and to interlink them with those of other information sources. Since LOD sources are liable to change, interfaces between resources can break and prompt preparing mistakes in applications that expend linked data. The …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 2, 2019 · pp. 1–9 Read article
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Galois Theory and Ricci Flow Curvature Applications for Generating the Mandelbrot Set
Abstract: In this paper, an application of Galois theory is presented through Ricci flow curvature in Mandelbrot set. The Mandelbrot set is analyzed over Ricci flow equation for generating the fractal set simply. Although, the fractal set is generated as the points in the complex plane connected to the Julia set and approaches to infinity. This paper proposes an efficient method of fractal set generation based on onto-one correspondence between Ricci …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 3, 2022 · pp. 24–29 Read article
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An Overview of Artificial Neural Network and its Applications
Abstract: This paper presents an overview of Artificial Neural Network (ANN). The study of neurons and its discrete representation by the set theory is the key objective of this paper. New data structure technique is proposed in this paper by using the mechanism of (ANN). The finite dimension of the field is generalized in this paper. The linear transformation and the representation of the vector basis are applied to propose the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 17–20 Read article
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Bearing Fault Diagnosis Using ANN and SVM with the Help of Wavelet Transform Based Features
Abstract: Many researchers use vibration signals as fault characteristics of any rotating bearing for fault detection and use various optimization techniques available for fault of bearing classification. The method of fault classification uses few neural network (NN) geometry and parameters necessary for the formulation. There is no derived formulation which can be used to select the optimal values for the network parameters. The parameters which are required to be calculated, impacts …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 26–34 Read article
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A Model for Destroying Cancer Cell
Abstract: Cancer is studied in this paper by the optimization technique. By this technique, cancer cell growth rate can be controlled. To minimize the growth rate of the cancer cell is the objective of this paper. The linear programming is used here to control the cancer. An anticancer model is presented in this paper based on linear programming problem. The formulation of anticancer based on the finite decision variables. There is …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 3, 2021 · pp. 1–4 Read article
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Magneto-thermodynamic Stress Analysis of an Orthotropic Solid Cylinder by Fractional Order Theory Application
Abstract: This study presents the Magneto-thermodynamic Response of Orthotropic Solid Cylinder in context of fractional order theory. The Laplace transform and finite Marchi–Zgrablich transform techniques have been used to analyze the thermal behavior of solid cylinder. The Magneto-thermodynamic stresses and perturbation of magnetic field vector in finite orthotropic cylinder are obtained in the transformed domain under sudden temperature change to a constant temperature and permeated by uniform primary magnetic field. Numerical …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 1, 2019 · pp. 37–45 Read article
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Insurance Chatbot for Customer Support Using LLM and Generative AI
Abstract: The Insurance Chatbot for Customer Support is an AI inspired solution designed to streamline customer interactions within the insurance industry. The main purpose of Large Language Models and Generative AI in the chatbot enhances accessibility to policy details, facilitates seamless policy enrollment and enables real time claims tracking. Its ability to process natural language queries ensures accurate and intuitive responses, significantly reducing customer confusion and operational inefficiencies. This chatbot addresses …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 41–47 Read article