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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Scheduling of batch process plant / Aladin Awang Hamat by Hamat, Aladin Awang

“…For that reason, this research is done based on the development of scheduling, involving algorithm and hardware. …”
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Development of a wireless mesh network routing algorithm for oil and gas pipeline networks by Azman, Amierul Syazrul Azril

“…The purpose of this research is to develop an enhanced routing algorithm suitable for oil and gas pipeline application in the refinery area. …”
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Identification of the continuous-time Hammerstein models with sparse measurement data using improved marine predators algorithm by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Zaharuddin, Mohamed

“…Therefore, this study introduced data-driven modeling for continuous-time Hammerstein models in the presence of sparse measurement data. …”
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Formulation of model predictive control algorithm for nonlinear processes by Mohd. Yusof, Khairiyah, Hassim, Mimi Haryani, Tan, Sook Li, Ab. Rashid, Siti Rafidah

“…An unconstrained MIMO DMC and nonlinear MPC (NNMPC) algorithms were developed using a step response model and two feedforward neural networks respectively. …”
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Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] by Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

“…Designing an effective machine learning model for prediction and classification problems is a continuous effort. In addition, time and expertise are important factors needed to adapt the model to a specific problem such as green building housing development. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Development of nonlinear model for continuous stirred tank reactor (CSTR) by Mohamad Ikwan, Zakaria

“…Continuous stirred tank reactors (CSTR) finds wide application in the chemical industry from pilot plant to full-scale production operation.CSTRs generally present operational problems due to complex open-loop nonlinear behavior in the form of input/output multiplicities and ignition/extinction phenomena.A major limitation of linear model is that plant behavior is described by linear dynamic model.As a result,linear model is inadequate for highly nonlinear process and moderately nonlinear process which have large operating regimes.This shortcoming coupled with increasingly stringent demands on throughput and product quality has spurred the development of nonlinear model.The objective of this research are development mathematical model for CSTR process based on first principal,validation of mathematical model through experimentation and nonlinear model identification of a CSTR process.The mathematical model based on first principles is developed from sodium hydroxide,ethyl acetate,and sodium acetate and ethanol mass balance.Then,the model equation is solving in MATLAB environment by doing algorithm for this process.The program for CSTR system is created and this program known as nonlinear fundamental model.The result from the MATLAB simulation program is compared with experimental result to validate the fundamental model. …”
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Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane by Julakha, Jahan Jui, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid

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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions by Syaripudin, Undang

“…Government Regulation No. 37 of 2009 concerning Lecturers emphasizes that lecturer competency development and coaching must be conducted periodically and continuously. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”

Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

“…The objectives of this research are to develop an algorithm for integrated scheduling and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm, ensure the algorithm validity and improvement on the performance of the developed algorithm. …”
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Pipeline Corrosion Prediction Due To Naphthenic Acid Using Auto Regressive Integrated Moving Average Method (Arima) by ALI, NURUL FATIHAH AZWANI

“…Artificial Neural Network (ANN) and ARIMA model is used as algorithm for development of prediction model. Validation of prediction model is then conducted with the use of industrial data. …”
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Real time long range (LoRa) based indoor positioning system using Deep Gaussian Process (DGP) algorithm / Ng Tarng Jian by Ng, Tarng Jian

“…This thesis explores the development of a real-time LoRa-based indoor positioning system in industrial production lines. …”
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Designated Path Routing Algorithm For Dense Wireless Sensor Network by Subramaniam, Siva Kumar, Ikhwan Lee, Mohamad Yusry Lee, Feroz, Farah Shahnaz, Azman, Amierul Syazrul Azril

“…The proposed algorithm has been developed to optimize the network performance by dividing the traffic into two and by reducing the flooding during route discovery. …”
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DESIGN OF CONTROL ALGORITHM FOR pH NEUTRALIZATION by ABDUL HALIM, AQILAH JUANI

“…Therefore, a robust control algorithm is needed for the utilization of the system. …”
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An estimation algorithm for improved maritime obstacle detection by Amir Alaqeb, Abdelrhman Mohamed, Rashid, Muhammad Mahbubur, Mohd Zaki, Hasan Firdaus, Embong, Abd Halim

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Suitability Factor on the Capacitated Vehicle Routing Problem by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

“…Finding a good solution for logistics and transportation industries is a continuous effort to maximize the efficiencies especially on problem that relates to the industry such as Vehicle Routing Problem (VRP). …”
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Real-time and predictive analytics of air quality with IoT system: A review by Nurmadiha, Osman, Mohd Faizal, Jamlos, Fatimah, Dzaharudin, Aidil Redza, Khan, You, Kok Yeow, Khairil Anuar, Khairi

“…(iv) Data analytics for Air Pollution Index (API) prediction along with IoT, with various communication protocols can as-sist in the development of real-time, and continuous high precision environmen-tal monitoring systems. v) Machine Learning (ML) Regression algorithm is suit-able for prediction and classification of concentration gas pollutant, while ANN and SVM algorithm is used for forecasting.…”
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Visual servo algorithm of robot arm simulation for dynamic tracking and grasping application by Rishi Arran Suppramaniam, Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, Seri Mastura Mustaza, Asraf Mohamed Moubark

“…Health pandemics such as Covid-19 have drastically shifted the world economics and boosted the development of automation technologies in the industries for continuous operation without human intervention. …”
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