Search Results - (( its applications using algorithm ) OR ( policy implications _ algorithm ))

Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm by Haruna, Chiroma, Abdul-Kareem, Sameem, Mohd Nawi, Nazri, Gital, Abdulsam Ya'u, Shuib, Liyana, Abubakar, Adamu, Rahman, Muhammad Zubair, Herawan, Tutut

“…Conclusion An accurate prediction of OPEC CO2 emissions can serve as a reference point for propagating the reorganisation of economic development in OPEC member countries with the view of reducing CO2 emissions to Kyoto benchmarks—hence, reducing global warming. The policy implications are discussed in the paper.…”
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Does organizational culture matter in the relationship between trust and SMEs performance by Gorondutse, Abdullahi Hassan, Abdullah, Haim Hilman

“…Practical implications – The research findings may be found beneficial to policy makers and academics, particularly in understanding trust of social responsibility, its influence on performance of small-scale industries and fit between organizational culture and strategic direction of a business enterprise. …”
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A comparison of decision tree, logistic regression, artificial neural network and random forest algorithms to predict suicidal ideation among young adults in Malaysia by Chan, Sin Yin, Ch’ng, Chee Keong

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Social media in shaping public opinion roles and impact: a systematic review by Dasad Latif, Muhammad Ahsan Samad, Rinawulandari, Shamsiah Abd Kadir

“…This systematic literature review examines the impact of social media on public opinion and its implications for policy-making. Utilising the PRISMA framework, the study analysed 19 articles from Scopus and Web of Science databases published between 2013-2023. …”
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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies by Taofeeq, D. M., Adeleke, A. Q., Lee, Chia Kuang

“…Partial least square-SEM is an appropriate analysis that was used to assess the results in the current research because its algorithm permits the unrestricted computation of cause-effect relationship models that use both reflective and formative measurement models. …”
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Electromagnetic fields policy implications for risk assessment by Farag A., Hussain H., Said I., Ahmad A.S.

An enhanced support vector regression -African Buffalo optimisation algorithm for electricity time series forecasting by Maijama'a, Inusa Sani

“…The proposed SVReABO algorithm holds significant implications for improving load forecasting accuracy, enabling more efficient electricity grid management, and facilitating informed decision-making for energy providers and consumers…”
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Selective exposure in the digital age: a systematic review of the mechanisms, contexts, and sociopsychology implications for media ecosystems(2013-2023) by Chi, Jinglin, Kamarudin, Syafila

“…This study shows the relevance of selective exposure research for the understanding of media behaviors, cognitive processes, and sociopolitical dynamics for future research as well its implications as sensitive to media literacy programs and policy interventions. …”
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Structural Equation Modeling Algorithm and Its Application in Business Analytics by Sorooshian, Shahryar

“…Novelty of this article is in modified steps of SEM application in modeling strategies, also in its developed practical comprehensive SEM application flowchart This article is a roadmap for business advisors and those scholars trying to compute SEM for their decision making, complex modeling and data analysis programming, …”
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Fast decryption method for a Rabin primitive-based cryptosystem by Asbullah, Muhammad Asyraf, Kamel Ariffin, Muhammad Rezal

“…The Chinese Remainder Theorem (CRT) is an algorithm for solving linear congruence system into a unique representation and has been a useful tool in applications of cryptography. …”
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Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu by Suzlyana Marhain binti Masrizan

Orthogonal least square algorithm and its application for modelling suspension system by Ahmad, Robiah, Jamaluddin, Hishamuddin

“…The derivation of the algorithm is presented and its application to the modelling of a car suspension system is included to demonstrate the effectiveness of the algorithm.…”
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Schelkunoff array synthesis methods using adaptive-iterative algorithm by Abdul Latiff, Nurul Mu'azzah

“…By the co-emergence of these algorithms, a better performance and wider application are hoped to be achieved since each of these algorithms has its own advantages respectively. …”
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Bees algorithm for Forest transportation planning optimization in Malaysia by Jamaluddin, Jamhuri, Kamarudin, Norizah, Ismail, Mohd Hasmadi, Ahmad, Siti Azfanizam

“…Algorithm is widely used in various areas due to its ability to solve classes of problems. …”
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A multi-objective Spiral Dynamic algorithm and its application for PD design by Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, A. R.A., Azwan, Mohd Falfazli, Mat Jusof

“…A Non-dominated sorting (NS) approach from Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted into SDA to develop its multi-objective (MO) type algorithm. …”
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Evaluation of dynamic programming among the existing stereo matching algorithms by Teo, Chee Huat, Nurulfajar, Abd Manap

“…On this research is to perform an evaluation on the performance between the dynamic programming with other existing method as comparison. The algorithm used on the dynamic programming is the global optimization which provides better process on stereo images like its accuracy and its computational efficiency compared to other existing stereo matching algorithms. …”
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Autonomous Robot Navigation in Unknown Maze Environment by Nur Aqilah binti Mustafa, Nur Aqilah

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New algorithm for gyroless spacecraft angular rate Estimation and its application by Abdelrahman, Mohammad, Samaan, Malak A.

“…A new algorithm for estimating the angular velocity using quaternion measurements is developed based on the concept of the global optimality resulting when using a centralized or master Kalman filter. …”
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Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…The Wilcoxon signed ranked statistical test shows that the ssSKF algorithm that uses an adaptive local neighbourhood in the prediction phase performs statistically better than the SKF algorithm that uses the last estimated state as its prediction, especially in solving high dimensional functions. …”
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Enhanced stochastic fractal search algorithm with chaos by Tuan Abdul Rahman, Tuan Ahmad Zahidi, Tokhi, Mohammad Osman

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