592 articles for “model developed”

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Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,097 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,363 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,174 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Learning Models for Speech Emotion RecognitionV.M. Praseetha, Sangil VadivelEmotions play a vital role in the efficient and natural human computer interaction. Recognizing human emotions from their speech is truly a challenging task when accuracy, robustness and latency are considered. With the recent advancements in deep learning now it is possible to get better accuracy, robustness and low latency for solving complex functions. In our experiment we have developed … …Journal of Computer Science, Vol. 14, Issue 11 · 26 Nov 2018 · 8,774 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCan Emotional Stability Buffer the Effect of Job Stress on Deviant Behavior?Aminah Ahmad, Zoharah Omar, Farah Mardiana Radzali, Mohammed Bashir SaiduThe interrelationships between job stress, WDB and emotional stability have not been studied in a model to comprehend whether emotional stability could weaken the impact of job stress on employee deviant behavior. We tested a model on the moderating role of emotional stability, a personality factor, in the relationship between job stress and workplace deviant behavior. The model was developed … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 30 Jun 2017 · 8,597 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStudy of Modified Oral Minimal Model using n-Order Decay Rate of Plasma Insulin for the Oral Glucose Tolerance Test in Subjects with Normal, Impaired and Diabetic Glucose ToleranceAgus Kartono, Egha Sabila Putri, Ardian Arif Setiawan et al.In this present study, the modified Oral Minimal Model (OMM), with secretion of insulin from pancreas was assumed that the insulin decay rate was not always a ﬁrst-orderly process in the Oral Glucose Tolerance Test (OGTT), had been developed to study Normal Glucose Tolerance (NGT), Impaired Glucose Tolerance (IGT or pre-diabetes) and type 2 Diabetes Mellitus (T2DM) subjects. The modified … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 25 Apr 2017 · 7,981 accessesView PDF Cite

Research ArticleOpen accessIn the abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-LebdehIn 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 (Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,452 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnalysis and Simulation of the Dynamics of Nickel Anode Plate Handling RobotKrich Richel Mpemissi Kombo, Guoping Li, Smart Valentine MudzingwaAs an integral part of the industrial automation system, a joint robot with artificial intelligence technology, virtual prototype technology and co-simulation technology has developed rapidly. In particular, the development of coordinated control technology makes the robot trajectory tracking control advance in the direction of higher precision and higher efficiency and makes the whole robot system has high fitting human nature, … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 4 · 27 Dec 2021 · 7,922 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractMitochondrial Dysfunction Model in the Pathogenesis of Inflammatory Response Development in ObesityAlexander Blagov, Varvara Orekhova et al.Obesity is one of the growing problems of modern society. Although currently used methods of treating obesity, including diet, exercise, and drug therapy, have shown their applicability to more effectively combat obesity, an understanding of the pathogenesis of this disease is required. One of the insufficiently studied factors in the pathogenesis of obesity is the development of mitochondrial dysfunction understanding … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 19 Nov 2023 · 4,937 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImproved Intrusion Detection System to Alleviate Attacks on DNS ServiceHani Mahmoud Al-Mimi, Nesreen Adnan Hamad, Mosleh Mohammad Abualhaj et al.Cybercriminals continuously devise new and more sophisticated ways to attack their targets’ security and cyberattacks are on the rise. One of the earliest and most vulnerable network services is the Domain Name System (DNS), which has had several security issues that have been repeatedly exploited over time. Building a strong Intrusion Detection System (IDS) that guards against unwanted access to … …Journal of Computer Science, Vol. 19, Issue 12 · 9 Nov 2023 · 5,789 accessesView PDF Cite