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39 articles for “S. Priya”
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Research ArticleOpen accessIn the author namesA Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired AlgorithmsIndira Priyadarsini, I.S. Siva Rao, P. Swetha et al.This study presents a novel approach for early prediction of heart disease using bio-inspired optimization algorithms to select and optimize features. The proposed approach utilizes a Genetic Algorithm (GA), Bat Algorithm (BA), Bee Algorithm (BA), and Ant Colony Optimization (ACO) to optimize a set of four features for improved prediction accuracy. The optimization process aims to identify the most relevant … …Journal of Computer Science, Vol. 21, Issue 1 · 4 Dec 2024 · 5,227 accessesView PDFCite
Research ArticleOpen accessIn the author namesEffect of Load and Routing Protocols on Networks on Chip (NoC): An AnalysisShaily Jain, Chander Prabha, Ayman Noor et al.Communication infrastructure for multi-core Systems-on-Chip (SoCs) is provided by Network-on-Chip (NoC). Point-to-Point (P2P) and bus-based communication systems are NoCs and are two communication channels of NoC that can probably overcome the scalability and performance restrictions of NoC. Latency and throughput are two of the essential characteristic metrics measured for a routing algorithm that affect the performance of a given NoC. … …Journal of Computer Science, Vol. 20, Issue 11 · 29 Aug 2024 · 5,273 accessesView PDFCite
Review ArticleOpen accessIn the author namesDenoising of Underwater Images with Regulated AutoencodersShreya Priyadarshini Roy, N Maheswari, M Sivagami, Angelin Beulah SIn the domain of underwater image processing, the images obtained in underwater lighting conditions are of very poor in quality and contain distortions due to the scattering of lights and color absorption of images in water. This makes it difficult to analyze these images for scientific, commercial and military purposes. Therefore, there is a need for efficient techniques that can … …Journal of Computer Science, Vol. 20, Issue 6 · 4 Apr 2024 · 5,571 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,443 accessesView PDFCite
Research ArticleOpen accessIn the author namesCrude Extract of Blue-Green Pigment Derived from the Marine Bacterium Pseudomonas aeruginosa P1.S9 has Antibacterial, Antioxidant, and Cytotoxic ActivitiesAris Tri Wahyudi, Rahmah Nursari, Widya Esti Purwaningtyas et al.Pigment derived from marine bacteria is one of the alternative sources of natural products characterized by beneficial functions for pharmaceutical purposes. This study aimed to evaluate the antimicrobial, antioxidant and cytotoxic activities of the marine bacterium Pseudomonas aeruginosa P1. S9 crude pigment extract and identify its chemical content. Crude pigment extract of this bacterium showed promising antibacterial activities against Pseudomonas … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 4 Mar 2022 · 6,994 accessesView PDFCite
Research ArticleOpen accessIn the author namesObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,448 accessesView PDFCite
Research ArticleOpen accessIn the author namesApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,038 accessesView PDFCite
Research ArticleOpen accessIn the author namesPlant Growth Promoting Activity of Actinomycetes Isolated from Soybean RhizosphereAris Tri Wahyudi, Jepri Agung Priyanto, Resti Afrista et al.Plant Growth Promoting Rhizobacteria (PGPR) is considered as the biological agent for improving plant growth. One Group of PGPR that have an important role in growth promoting of plant is Actinomycetes. The objective of this study was to isolate and screen Actinomycetes isolated from soybean rhizosphere as growth promoter of soybean in vitro. Fifty-three Actinomycetes isolates have successfully been isolated … …OnLine Journal of Biological Sciences, Vol. 19, Issue 1 · 5 Jan 2019 · 14,604 accessesView PDFCite
Research ArticleOpen accessIn the author namesDesign and Testing of Screw Turbines for Flat Flow with Uneven Blade DistancesYulianto, Bambang Priyadi, Fathoni, Hari SuciptoIt is an innovative thing to design turbines that are compatible with flat-flow water energy. The turbine that was chosen is a turbine screw model with a non-uniform blade slope. The turbine made with a stator consists of a collector pipe and a quick pipe as a nozzle and a screw-shaped rotor with varying blade spacing. The results of the … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 4 Jan 2019 · 7,904 accessesView PDFCite
Research ArticleOpen accessIn the author namesScreening and Characterization of Sponge-Associated Bacteria Producing Bioactive Compounds Anti-Vibrio sp.Aris Tri Wahyudi, Jepri Agung Priyanto, Wenang Maharsiwi, Rika Indri AstutiIn Indonesia, vibriosis is the main disease in shrimp. This disease is caused by Vibrio sp that may decrease the productivity of shrimp cultivation. Thus, exploration for new bioactive compounds as vibriosis biocontrol agent is necessary. Marine sponge-associated bacteria is one of many sources for bioactive compounds. The aim of this study was to screen marine sponge-associated bacteria producing anti-Vibrio … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 3 · 5 Oct 2018 · 10,357 accessesView PDFCite