Search Results - ((processing layer) OR (processing data))

Trace analyzer for NS-2 by Salleh A.U., Ishak Z., Din N.Md., Jamaludin M.Z.

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Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor by Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Taip, Farah Saleena, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak

“…Formulation of bioprocess model using process data or data driven technique is able to describe the true process conditions better than a model driven technique that focused on ideal steady state condition of process map the relationship of DO concentration with other physical and chemical process variable that has influence on the process. …”
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A novel design and development of persistence layer for heterogeneous synchronous replication in data grid by Beg, A. H., Noraziah, Abu Yazid, Abdalla, Ahmed N.

“…Replication is a process to achieved efficient and fault-tolerant access in the data grid. …”
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Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process by Kong, Hong Shim

“…A neural-fuzzy model has been developed to represent machinability data selection in turning process. Turning process is a branch of machining process, which is used to produce cylindrical parts. …”
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Copper Layer Sheet Resistance Evolution As A Function Of Post-Seed Process Self-Annealing Time by Abd Rahman, Md Nizam, Muhamad, Mohd Razali, Sulaiman, Mohd Amri, Hashim, Zarifah Syazana, Fadzil, Ahmad Anuar, Budi, Esmar

“…Copper layer metallization is one of the important processes in integrated circuit manufacturing. …”
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Pcie Ip Validation Process Across Process Corner, Voltage And Temperature Conditions by Abdul Karim, Nurul Izyan

“…The link training and Initialization takes place at physical layer to initialize the link width and link data rate. …”
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VHDL modeling of IRIS recognition using neural network by Reaz, Mamun Bin Ibne, T., A. Leng, Mohd-Yasin, Faisal, Sulaiman, M. S., Islam, S., Ibrahimy, Muhammad Ibn

“…The iris recognition neural network architecture comprises three layers: input layer with three neurons, hidden layer with two neurons and output layer with one neuron. …”
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Synthesis of phenoxyherbicides-intercalated layered double hydroxide nanohybrids and their controlled release property. by Sarijo, Siti Halimah, Hussein, Mohd Zobir, Yahya, Asmah, Zainal, Zulkarnain, Yarmo, Mohd Ambar

“…The release of the phenoxyherbicides from their nanohybrids at various pHs can be expressed by parabolic diffusion at the beginning of the process, but the release data for the whole process followed the pseudo-second order equation. …”
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Voltage stability analysis using artificial neural network / Norol Janah Ahmad by Ahmad, Norol Janah

“…Both methods used same sets of data in training process and same other sets of data for testing process. …”
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Voltage stability analysis using artificial neural network / Norul Janah Ahmad by Ahmad, Norul Janah

“…Both methods used same sets of data in training process and same other sets of data for testing process. …”
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Effective persistence layer synchronous replication heterogonous database by UMP, FSKKP

“… - Distributed Database System (DDS) is a collection of multiple independent databases. - Data replication in DDS technology involves copying data between data stores and guarantees data across multiple sites in a distributed environment - Usually replication process depends on the main server. …”
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High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method by Hameed R.S., Mokri S.S., Taha M.S., Taher M.M.

“…Data transfer; Economic and social effects; Image processing; Steganography; High capacity; High capacity component; High-capacity; High-capacity images; Image steganography; Information hiding; Least significant bits; Multi-layer security; Multi-layers; Pay load capacity; Cryptography…”

A method Of visualizing 3D terrain by Mohamed Sharif, Abdul Rashid, Che Mat, Ruzinoor, Mahmud, Ahmad Rodzi

“…A method of visualizing 3D terrain in a web based environment based on input from geographical indication means, the method includes the steps of identifying area to be visualized, preparing contour and imaging data from geographical indication means, processing the prepared data to produce data layers, compressing the data layers and organizing the compressed data layers to be presented in a web environment. …”
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Development of an Open Soft CNC System Based on STEP-NC and Function Blocks by Minhat, Mohamad, Xu, Xun

“…The layered STEP-NC/FB architecture is proposed, which simplifies the design of the controller with layers responsible for data processing, data storage and execution. …”
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Simulation of single and dual layered rapid pressure swing adsorption by Lai, Yin Ling

“…The process is inherently dynamic and exhibits cyclic steady state (CSS) after sufficient number of cycles. …”
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Designing a mobile attendance application prototype for KPM Indera Mahkota / Syahid Ali by Ali, Syahid

“…However, manual attendance processes have problems such as data inaccuracies, repetitive processes, lost of attendance data and submission problems. …”
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Effect of process parameters on tensile strength of 3D printed PLA parts by Abdul Hamid, Rahimah, Maidin, Shajahan, Mohd Yussoff, Nurul Hajar, Ng, Pei Lee, Tsutomu, Ito

“…This study investigates the effect and interaction of various process parameters (infill density, temperature, layer height) on the tensile strength of 3D-printed PLA parts using Analysis of Variance (ANOVA). …”
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Application of Artificial Neural Network (ANN) for Modeling of DOC Removal from Antibiotics Aqueous Solution by Fenton Process by Elmolla, E. S., Chaudhuri, M.

“…The study examined the implementation of a three layer backpropagation artificial neural network (ANN) for prediction and simulation of amoxicillin, ampicillin and cloxacillin degradation using Fenton process in terms of dissolved organic carbon (DOC). …”
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill by Abunama, Taher, Othman, Faridah, Ansari, Mozafar, El-Shafie, Ahmed

“…Since minimizing data collection and processing efforts as well as minimizing modeling complexity are critical in the hydrological modeling process, the applied input optimization process and the developed models in this study were able to provide a good performance in the modeling of leachate generation efficiently. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.…”
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Development of a complex network-based integrated multi-layer urban growth and optimisation model for efficient urban traffic network by Rui, Ding

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