Memory Model

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.

10p viengfa 28-10-2024 1 1   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).

10p viengfa 28-10-2024 2 1   Download

This paper comprehensively explores and compares methods for multi-person action recognition, with a focus on integrating YOLOv7-Pose a tool known for its rapid pose estimation capabilities--with deep learning architectures. Specifically, it examines the use of Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and Spatial TemporalGraph Convolution Network (ST-GCN) to achieve precise action classification.

5p viyamanaka 06-02-2025 7 2   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.

8p vifilm 11-10-2024 10 1   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.

63p talata_1 22-09-2014 96 6   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.

34p maiyeumaiyeu25 16-12-2016 162 7   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.

16p tohitohi 22-05-2020 32 5   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.

8p tumor12 22-04-2013 45 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.

12p mobifone23 18-01-2013 32 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...

66p noel_noel 17-01-2013 57 6   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

10p sting12 11-03-2012 42 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.

9p sting12 10-03-2012 45 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 ≤...

31p sting12 10-03-2012 43 6   Download