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53 results for “Real-Time Prediction”
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Research ArticleOpen accessIn the abstractAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection SystemVamshi Krishna Kapu, Ganesh Reddy KarriThe vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game … …Journal of Computer Science, Vol. 19, Issue 9 · 26 Aug 2023 · 5,746 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Tool for Testing Agreement Level on Continuous DatasetsBasavarajaiah Mariyappa Doddagangavadi, B. Narasimha Murthy, Netra RajpurohitVarious analytical studies explored the new innovation for testing agreement level in medical and life sciences which can be simulated by Cohen ‘κ’ based on the practical applications. From the past medical literature, many authors suggested that, there is some disproportion research gaps that exists in the statistical methods for measuring the agreements between two or more observers from ‘Cohen … …Current Research in Biostatistics, Vol. 11, Issue 1 · 19 May 2021 · 11,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time SeriesSaugat Aryal, Dheynoshan Nadarajah, Prabath Lakmal Rupasinghe et al.Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In contrast to one-step ahead prediction, multi-step forecasting is more desirable in the industry but the task is more challenging. In recent days, advancement in deep learning has … …Journal of Computer Science, Vol. 16, Issue 10 · 27 Oct 2020 · 6,967 accessesView PDFCite
Review ArticleOpen accessIn the abstractAn Insight into the Simplified RP Transmission Network, Concise Baseline and SIR Models for Simulating the Transmissibility of the Novel Coronavirus Disease 2019 (COVID-19) OutbreakEva Gupta, Nand Jee KanuThe World Health Organization has reported about a Severe Acute Respiratory Syndrome, Coronavirus 2 (SARS-CoV2) (a virus of Wuhan, China pneumonia). The present investigation explores the transmissibility of the novel Coronavirus Disease (COVID-19) using some suitable mathematical models such as (a) a simplified Bats-Hosts-Reservoir (Wuhan Seafood Market)-People (BHRP) transmission network model useful in mapping the spread of the novel COVID-19 … …American Journal of Infectious Diseases, Vol. 16, Issue 2 · 1 Jul 2020 · 7,586 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Mir 29c-3p and Mir 31-5p Serum Values in Predicting Nephropathy in Type 2 Diabetic PatientsMona S. Habieb, Nesreen Gamal Elhelbawy, Khaled M. Elzorkany et al.Diabetic Nephropathy (DN) is a prime complication of diabetes with various pathological mechanisms. microRNAs (miRNAs) have emerged as an important factor in the pathogenesis of renal disorders. We aimed to analyze serum miR 29c-3p and miR 31-5p in diabetic patients in relation to albuminuria and eGFR. Also, the correlations between these miRNAs and cystatin C were assessed. This study was … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 17 Feb 2022 · 6,449 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Fall Armyworm (Spodoptera frugiperda, J.E. Smith) Pheromone Trap Based on Machine LearningSimon H. Chiwamba, Jackson Phiri, Philip O.Y. Nkunika et al.Maize is the main food crop that meets the nutritional needs of both humans and livestock in the sub-Saharan African region. Maize crop has in the recent past been threatened by the fall armyworm (Spodoptera frugiperda, J.E Smith) which has caused considerable maize yield losses in the region. Controlling this pest requires knowledge on the time, location and extent of … …Journal of Computer Science, Vol. 15, Issue 12 · 19 Dec 2019 · 8,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputing MDR-Game with Applications to Real DataJimbo Henri Claver, Takeru Suzuki, Jesus Pascal et al.Originally developed for probability and statistic purposes, Multiple Dice Rolling (MDR) game turns out to be useful for many other applications such as complex biological systems and medical research. It has been mainly used to estimate system states that cannot be observed directly. MDR game is affected by noise and fluctuations. It is widely agreed that noise in dynamic systems … …Journal of Computer Science, Vol. 14, Issue 7 · 17 Jul 2018 · 7,789 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Framework for Smart Irrigation using Machine Learning TechniqueS. Ramya, A.M. Swetha, Manivannan DoraipandianThe scarcity of freshwater around the world is becoming a serious issue, so there is a dire need to come up with a solution for effective utilization of water resources. Basically, agriculture depends on monsoon which is not a sufficient water source. The Internet of Things (IoT) and Machine Learning (ML) based smart irrigation system is employed in the field … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 9,654 accessesView PDFCite