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Design of Improved Stream Cipher Algorithms for GSM Communication by Nur Hafiza Zakaria

Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

“…Overall, the developed algorithms have similar PSNR value and lower average search point compared to superior algorithms. …”
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Big data approach to sentiment analysis in machine learning-based microblogs: Perspectives of religious moderation public policy in Indonesia by Mhd., Furqan, Ahmad Fakhri, Ab Nasir

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Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal by Mohd Kamal, Mohamad Fadhil

“…The genetic algorithm (GA) is a search technique based on the behaviour of natural genetics. …”
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Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms by Bouzateur, Inas, Ouali, Mohammed Assam, Bennacer, Hamza, Ladjal, Mohamed, Khmaissia, Fadoua, Rahman, Mohd Amiruddin Abd, Boukortt, Abdelkader

“…Although the PSO-Fuzzy model has the best performance of all the compared models, the developed PSO-ANN based model possesses the advantage of easy implementation in addition to its moderate performance.…”
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Effective k-Means Clustering in Greedy Prepruned Tree-based Classification for Obstructive Sleep Apnea by Sim, Doreen Ying Ying, Ahmad I., Ismail, Chee Siong, Teh

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Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa by Che Isa, Muhammad Izzat Imran

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Validation of combine white noise using simulated data by Agboluaje, Ayodele Abraham, Ismail, Suzilah, Chee, Yin Yip

“…The white noise series are transformed into Combine White Noise Model (CWN).The assessments of the model are based on data simulation.The simulated data of 200 and 300 sample sizes of EGARCH are generated.The generated EGARCH data are based on low, moderate and high values of leverage and skewness.Each of these generated EGARCH data is used for the estimation of EGARCH and Moving Average (MA). …”
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A cluster analysis of population based cancer registry in Brunei Darussalam : an exploratory study by Lai, Daphne Teck Ching, Owais A. Malik

“…Four clustering algorithms are explored in the cluster analysis of Brunei Darussalam Cancer Registry; Two-step, Partitional Around Medoid, Agglomerative Hierarchical and Model-based. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming by Zun Liang, Chuan, Tham, Ren Sheng, Tan, Chek Cheng, Abraham Lim, Bing Sern, David Lau, King Luen, Chong, Yeh Sai

“…To address these challenges, an innovative Artificial Intelligence-based (AI-based) predictive algorithm has been proposed, leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) data science framework. …”
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum by Wardhana, Mohammad Hadyan

“…HNNM is developed based on the case studies at three hospitals in Pekanbaru comprise three main phases which are pre-processing, development, and performance analysis. …”
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Unveiling sarcastic intent: web-based detection of sarcasm in news / Mohd Nazzim Lahaji, Tajul Rosli Razak and Mohammad Hafiz Ismail by Lahaji, Mohd Nazzim, Razak, Tajul Rosli, Ismail, Mohammad Hafiz

“…The results demonstrate the superiority of the developed model in sarcasm detection for news headlines. …”
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Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms by Liaghat, Shohreh, Ehsani, Reza, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi, Meon, Sariah, Sankaran, Sindhuja, Azam, Siti H. M. N.

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Moderating effects of government support on the relationship between organizational innovativeness, culture and sustainable construction among Malaysian contractors by Bamgbade, Jibril Adewale

“…Drawing upon organizational readiness for change and resource-based view theories, this study examined the role of government support in moderating the effects of organizational innovativeness and organizational culture on sustainable construction among Malaysian large contractors (the G7 contractors). …”
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Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction by Tengku Nurul Aimi Balqis, Tengku Malim Busu

“…However, the Ordinary Least Squares (OLS)-based training in BPNN leads to nonrobust weightage estimates in the presence of outliers. …”
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Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Penggunaan penggugusan subtraktif bagi menjana peraturan kabur by Agus Priyono, Muhammad Ridwan, Ahmad Jais Alias, Riza Atiq O. K. Rahmat, Azmi Hassan, Mohd. Alauddin Mohd. Ali

“…By using the fuzzy clustering algorithm, membership function could be counted based on two possible clustering methods. …”
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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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Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network by Jahan, Mohammad Saukat

“…Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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