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A new image scrambling technique using block rotation algorithm based on Rubik’s cube by Abugharsa, Ahmed Bashir, Hasan Basari, Abd Samad, Almangush, Hamida

“…Objectives: the objective of this paper is to develop a new efficient image scrambling algorithm by using the Rotation technique in order to break the relationship among image elements (pixels). …”
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Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

“…There is significant relationship between shoreline change rate estimated using Canny algorithm and ones modeled using velocity bunching model. …”
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Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm by Basri Badyalina, Nurkhairany Amyra Mokhtar, Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Mohamad Faizal Ramli, Muhammad Majid, Fatin Farazh Ya'acob

“…However, linear regression does not capture the complex nonlinear relationship between predictor and target variables. …”
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A bayesian network approach to identify factors affecting learning of Additional Mathematics by Ong, Hong Choon, Kumarenthiran A/L Chandrasekaran

“…Bayesian network is used to identify the relationship between the factors in the study and to analyze the data as it is able to represent the variables as nodes and the relationships as directed arcs. …”
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Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour by Jan, Ketil Arnulf, Kai, Rune Larsen, Øyvind, Lund Martinsen, Bong, Chih How

“…Even the relationships between independent and their purported dependent variables were accurately predicted. …”
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Evaluation of Visual Network Algorithms on Historical Documents by Khairunnisa, Binti Ibrahim

“…Therefore, for a new document, evaluation of algorithms is ineluctable. …”
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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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Spatial Signature Algorithm (SSA): A New Approach In Countermeasuring XML Signature Wrapping Attack by Madihah Mohd Saudi, Nurzi Juana Mohd Zaizi, Azreena Abu Bakar, Khaled Juma Ahmed Swessi

A novel strategy for speed up training for back propagation algorithm via dynamic adaptive the weight training in artificial neural network by Al-Duais, Mohameed Sarhan, Yaakub, Abd Razak, Yusoff, Nooraini, Ahmad, Faudziah

“…The drawback of the Back Propagation (BP) algorithm is slow training and easily convergence to the local minimum and suffers from saturation training.To overcome those problems, we created a new dynamic function for each training rate and momentum term.In this study, we presented the (BPDRM) algorithm, which training with dynamic training rate and momentum term. …”
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Integrated Mobile Spain Model Using Artificial Immune System Algorithms by Sulaiman, NF, Jali, MZ

New Cryptographic Algorithms for Enhancing Security of Voice Data by Al-Hazaimeh, Obaida Mohammad Awad

“…The proposed solution consists of a simple, but strong encryption/decryption algorithm as well as an embedded method to exchange the keys between the users. …”
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Using fuzzy association rule mining in cancer classification by Mahmoodian, Sayed Hamid, Marhaban, Mohammad Hamiruce, Abdul Rahim, Raha, Rosli, Rozita, Saripan, M. Iqbal

“…The results show that fuzzy classifier can classify the tumors with high performance while presenting the relationships between the genes by linguistic variables.…”
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Inexact discretionary inputs in data envelopment analysis by Langroudi, Majid Zerafat Angiz

“…In this chapter, the relationship between fuzzy concepts and the efficiency score in Data envelopment analysis (DEA) is dealt with.A new DEA model for handling crisp data using fuzzy concept is proposed.In addition, the relationship between possibility sets and the efficiency score in the traditional crisp CCR model is presented.The relationship provides an alternative perspective of viewing efficiency.With the usage of the appropriate fuzzy and possibility sets to represent certain characteristics of the input data, many DEA models involving input data with various characteristics could be studied.Furthermore, based upon the proposed models, two nondiscretionary models are introduced in which some inputs or outputs, in a fuzzy sense, are inexact discretionary variables.For this purpose, a two-stage algorithm will be presented to treat the DEA model in the presence of an inexact discretionary variable.With this relationship, a new perspective of viewing and exploring other DEA models is now made possible.…”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. Every algorithm makes its own respective prior assumptions about the relationships between the features and target variables, which create different types and levels of bias. …”
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system by Mahpol, Khairil Asmani

“…There has been a strong relationship between the availability of energy to the economic activity, improvements in standards of living and the overall social well-being. …”
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A New Cell Formation Method Considering Operation Sequences And Production Volumes by Abedini, Panteha

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Exponentially adaptive sine-cosine algorithm for global optimization by Mohd Falfazli, Mat Jusof, Nurul Amira, Mhd Rizal, Ahmad Azwan, Abdul Razak, Shuhairie, Mohammad, Ahmad Nor Kasruddin, Nasir

“…The exponential term is adopted to establish a relationship between searching agents step size and fitness cost. …”
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Development of algorithm of time and space domain for chlorophyll-a (Chl-a) and total suspended sediment (TSS) at Teluk Lipat Terengganu Coastline / Fathinul Najib Ahmad Sa’ad by Ahmad Sa’ad, Fathinul Najib

“…However, the developed algorithms are highly regional dependence. In order to precisely estimate the TSS and Chl-a concentration, new algorithm need to develop. …”
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A hybrid genetic algorithm and linear regression for prediction of NOx emission in power generation plant by Bunyamin M.A., Yap K.S., Aziz N.L.A.A., Tiong S.K., Wong S.Y., Kamal M.F.

“…This paper presents a new approach of gas emission estimation in power generation plant using a hybrid Genetic Algorithm (GA) and Linear Regression (LR) (denoted as GA-LR). …”

Efficient skyline computation over an incomplete database with changing states and structures by Babanejaddehaki, Ghazaleh, Ibrahim, Hamidah, Alwan, Ali Amer, Sidi, Fatimah, Udzir, Nur Izura

“…While databases change their states and/or structures throughout their lifetime to reflect the current and latest information of the applications, the skyline set derived before changes are made towards the initial state of a database is no longer valid in the new state/structure of the database. The domination relationships between objects identified in the initial state might no longer hold in the new state. …”
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