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Memory Model

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  • Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.

    pdf10p viengfa 28-10-2024 0 0   Download

  • Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).

    pdf10p viengfa 28-10-2024 1 0   Download

  • This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.

    pdf8p vifilm 11-10-2024 1 0   Download

  • In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term.

    pdf8p viyoko 01-10-2024 3 1   Download

  • In this paper, we study an integration of temperature and pH sensors into the system to collect and monitor water quality parameters in aquaculture using a combination of edge computing (EC), Artificial Intelligence (AI) and Internet-of-Things (IoT). We develop and deploy a model using edge computing and a Long-Short Term Memory (LSTM) algorithm to forecast the aquaculture water quality at the network's edge.

    pdf6p vikwong 29-09-2024 2 1   Download

  • This project examines how the moving image can be used as a vehicle of memory, to express what is lost, what is gained and what changes occur in relation to personal family migratory history—a messy and ambiguous process. This practice-led research project investigates video work, using filmed materials and objects, to focus attention on the non-linear aspect of time as it is subjected to individual and collective memories. The outcomes highlight the sometimes disconnecting and unpredictable experiences of migration, storytelling, and memory.

    pdf62p runthenight04 02-02-2023 7 2   Download

  • The paper deals with the use of the "memory effect" of a groundwater aquifer for the retrospective estimation of the sources of groundwater industrial pollution, and in order to obtain a reliable estimate of their impact on groundwater and surface water.

    pdf23p lucastanguyen 01-06-2020 24 3   Download

  • Forecasting stock index has been received great interest because an accurate prediction of stock index may yield benefits and profits for investors, economists and practitioners. The objective of this study is to develop two efficient forecasting models and compare their performances in one day-ahead forecasting the daily Vietnamese stock index.

    pdf16p tohitohi 22-05-2020 27 4   Download

  • This thesis aimed to identify the approaches with the most academic impact and to explain them in greater detail. Hence, models of each category were chosen and compared. The non-parametric models were represented by the historical simulation, the parametric models by GARCH-type models (GARCH, RiskMetrics, IGARCH, FIGARCH, GJR, APARCH and EGARCH) and the semi-parametric models by the Monte Carlo simulation. The functional principle of each approach was explained, compared and contrasted.

    pdf140p nguyenyenyn117 18-06-2019 40 5   Download

  • Bài giảng Chương 5: Giao tiếp liên tiến trình của Phạm Quang Dũng cung cấp cho các bạn những kiến thức về các dạng IPC, các tiêu chuẩn phân biệt loại IPC, Shared Memory, Fast Local Communication, Memory Model và một số nội dung khác.

    pdf34p maiyeumaiyeu25 16-12-2016 152 7   Download

  • Lecture Operating System: Chapter 04 - Memory management presented basic memory management, swapping, virtual memory, page replacement algorithms, modeling page replacement algorithms, design issues for paging systems, implementation issues, segmentation.

    ppt63p talata_1 22-09-2014 92 6   Download

  • Prolyl endopeptidase (PEP) is a proline-specific oligopepti-dase with a reported effect on learning and memory in dif-ferent rat model systems. Using the astroglioma cell line U343,PEP expression was reduced by an antisense technique. Measuring different second-messenger concen-trations revealed an inverse correlation between inositol 1,4,5-triphosphate [Ins(1,4,5)P3] concentration and PEP expression in the generated antisense cell lines. However,no effect on cAMP generation was observed.

    pdf8p tumor12 22-04-2013 41 3   Download

  • A decade ago, a disintegrin and metalloproteinase 10 (ADAM10) was iden-tified as ana-secretase and as a key proteinase in the processing of the amy-loid precursor protein. Accordingly, the important role that it plays in Alzheimer’s disease was manifested. Animal models with an overexpression of ADAM10 revealed a beneficial profile of the metalloproteinase with respect to learning and memory, plaque load and synaptogenesis.

    pdf12p mobifone23 18-01-2013 30 3   Download

  • Dedicated to the memory of Gert Kjærg˚ Pedersen ard Abstract In the process of developing the theory of free probability and free entropy, Voiculescu introduced in 1991 a random matrix model for a free semicircular system. Since then, random matrices have played a key role in von Neumann algebra theory (cf. [V8], [V9]). The main result of this paper is the follow(n) (n) ing extension of Voiculescu’s random matrix result: Let (X1 , . . . , Xr ) be a system of r stochastically independent n × n Gaussian self-adjoint random matrices as in Voiculescu’s random matrix paper...

    pdf66p noel_noel 17-01-2013 52 5   Download

  • Linux History Design Principles Kernel Modules Process Management Scheduling Memory Management File Systems Input and Output Interprocess Communication Network Structure Security To explore the history of the UNIX operating system from which Linux is derived and the principles which Linux is designed upon To examine the Linux process model and illustrate how Linux schedules processes and provides interprocess communication To look at memory management in Linux To explore how Linux implements file systems and manages I/O devices...

    pdf62p perpan 02-09-2012 77 16   Download

  • Background Demand Paging Copy-on-Write Page Replacement Allocation of Frames Thrashing Memory-Mapped Files Allocating Kernel Memory Other Considerations Operating-System Examples Silberschatz, Galvin and Gagne ©2005 .Objectives To describe the benefits of a virtual memory system To explain the concepts of demand paging, page-replacement algorithms, and allocation of page frames To discuss the principle of the working-set model Virtual memory – separation of user logical memory from physical memory....

    pdf70p perpan 02-09-2012 73 16   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Discriminative Feature Selection via Multiclass Variable Memory Markov Model

    pdf10p sting12 11-03-2012 37 3   Download

  • EURASIP Journal on Applied Signal Processing 2003:12, 1229–1237 c 2003 Hindawi Publishing Corporation Nonlinear System Identification Using Neural Networks Trained with Natural Gradient Descent Mohamed Ibnkahla Electrical and Computer Engineering Department, Queen’s University, Kingston, Ontario, Canada K7L 3N6 Email: mohamed.ibnkahla@ece.queensu.ca Received 13 December 2002 and in revised form 17 May 2003 We use natural gradient (NG) learning neural networks (NNs) for modeling and identifying nonlinear systems with memory.

    pdf9p sting12 10-03-2012 43 6   Download

  • ON WEAK SOLUTIONS OF THE EQUATIONS OF MOTION OF A VISCOELASTIC MEDIUM WITH VARIABLE BOUNDARY V. G. ZVYAGIN AND V. P. ORLOV Received 2 September 2005 The regularized system of equations for one model of a viscoelastic medium with memory along trajectories of the field of velocities is under consideration. The case of a changing domain is studied. We investigate the weak solvability of an initial boundary value problem for this system. 1. Introduction The purpose of the present paper is an extension of the result of [21] on the case of a changing domain. Let Ωt ∈ Rn , 2 ≤...

    pdf31p sting12 10-03-2012 43 6   Download

  • The correspondence between individual deficits of language function and lesion location does not display a rigid one-to-one relationship and should be conceptualized within the context of the distributed network model. Nonetheless, the classification of aphasias of acute onset into specific clinical syndromes helps to determine the most likely anatomic distribution of the underlying neurologic disease and has implications for etiology and prognosis (Table 27-1). The syndromes listed in Table 27-1 are most applicable to aphasias caused by cerebrovascular accidents (CVA).

    pdf5p ongxaemnumber1 29-11-2010 83 3   Download

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