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86 articles for “order prediction”

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Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiverse Trajectory on Consumer’s Product Feedback Analysis by Confidence IntervalVithya Ganesan, Kirubakaran Namaskaram, Viriyala Sri Anima Padmini et al.The current investigation addresses the possibilities and limitations of the sentiment analysis of consumer remarks in the context of economic needs. It makes it easier for businesses to comprehend how the public's opinion shapes their abilities to satisfy clientele. Sentiment analysis concerns the assessment and interpretation of various forms of evaluation, such as product ratings, reviewer responses, and question-and-answer sessions. … …Journal of Computer Science, Vol. 21, Issue 5 · 28 Apr 2025 · 5,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractElectrical Load Forecasting Using Artificial Neural Network: The Case Study of the Grid Inter-Connected Network of Benin Electricity Community (CEB)Adekunlé Akim Salami, Ayité Sénah Akoda Ajavon, Koffi A. Dotche, Koffi-Sa BedjaThe low rate of electrification seems challenging in many West African countries and many strategies are underway to improve upon. In this regard, the target of achieving the universal access and services calls for a stable and reliable electrical network. Forecasting of electrical load on a connected grid network is very delicate and requires tremendous task from the utilities (billing … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 11 Apr 2018 · 9,143 accessesView PDFCite
EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractEXTENDED MASS RELATION FOR SEVEN FUNDAMENTAL MASSES AND NEW EVIDENCE OF LARGE NUMBERS HYPOTHESISCurtis J. Forsythe, Dimitar T. ValevA previously derived mass relation has been extended to seven equidistant fundamental masses covering an extremely large mass range from ~10-69 to ~1053 kg. Six of these masses are successfully identified as mass of the observable universe, Eddington mass limit of the most massive stars, mass of hypothetical quantum “Gravity Atom” whose gravitational potential is equal to electrostatic potential e2/S, … …Physics International, Vol. 5, Issue 2 · 16 Jul 2014 · 8,271 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECASTHeri Kuswanto, Irhamah, Laylia AfidahLong memory and nonlinearity have been proven as two models that are easily to be mistaken. In other words, nonlinearity is a strong candidate of spurious long memory by introducing a certain degree of fractional integration that lies in the region of long memory. Indeed, nonlinear process belongs to short memory with zero integration order. The idea of the forecast … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 7 Jul 2014 · 6,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractDESIGN OF CANDIDA ANTARCTICA LIPASE B THERMOSTABILITY IMPROVEMENT BY INTRODUCING EXTRA DISULFIDE BOND INTO THE ENZYMEUsman Sumo Friend Tambunan, Ahmad Randy, Arli Aditya ParikesitCandida Antarctica Lipase B (CALB) is extensively studied in enzymatic production of biodiesel, pharmaceutical products, detergents and other chemicals. One drawback of using CALB is its relatively low optimum temperature at 313 K (40°C). The objective of this research is to design CALB mutant with improved thermostability by introducing extra disulfide bond. Molecular dynamic simulation was conducted to get better … …OnLine Journal of Biological Sciences, Vol. 14, Issue 2 · 18 Apr 2014 · 9,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review of Static Tests and Recent StudiesSrilert ChotpantaratProblem statement: Acid mine drainage from waste rocks, tailings and other mine components, is one of the most important environmental concerns at mining sites. To attempt to determine the balance between the acid and neutralization potentials of the material and evaluate the possible acid-forming potential of mine waste, many static prediction tests have been developed to evaluate the acid-forming potentials … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 19 Apr 2011 · 7,658 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh Rate-Dependent Interaction Diagrams for Reinforced Concrete ColumnsTaher Abu-Lebdeh, Sameer Hamoush, Wonchang Choi, Moayyad Al NasraProblem statement: There is a need to better understand the rate dependence behavior of reinforced concrete structures in order to improve their response to impact and blast loads. Analysis and design of reinforced concrete structures subjected to seismic loadings has been recommended in many FEMA guidelines. However, reevaluation of design becomes extremely important in cases where large deformations are expected … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 27 Jan 2011 · 8,020 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Influence of Soil Characteristics in Low Flows RegionalizationPaolo Vezza, Claudio Comoglio, Alberto Viglione, Maurizio RossoProblem statement: For the purpose of low flows regionalization, relevant issue for water resources management like environmental flows requirements definition, this study focused on the controls on the seasonal and spatial variability of q95 (i.e., the specific discharge that was exceeded on 95% of all the time) with particular reference to the role of soil characteristics, that, like soil infiltration … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 6,480 accessesView PDFCite