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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
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Assessment of using EZ-Prog: an easy color schematic model for programming problem solving
Published 2020“…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
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Investigating the cognitive processes in solving management science problems
Published 2010“…Arising from the findings, an algorithm has been proposed in an attempt to improve the cognitive processes of students in solving MS/OR problems as well as the quality of decision making. …”
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A new inexact line search method for convex optimization problems
Published 2013“…The purpose of this paper is to propose a simple yet effective line search strategy in solving unconstrained convex optimization problems. …”
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Modified Harris Hawks Optimization Algorithm For Protein Multiple Sequence Alignment
Published 2024“…However, finding similarities across large databases is an np-hard problem, meaning it is extremely difficult and time-consuming to solve exactly in real time. …”
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Pemahaman guru matematik Tahun Enam tentang pembahagian nombor bulat / Hoi Sim Min
Published 2018“…This study also found that teachers have four general patterns of thought and an algorithm to solve the problem of division of whole numbers, that is, the general pattern of thought of partition, measurement, repeated subtraction, the inverse of multiplication , and long division algorithm. …”
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Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL)
Published 2019“…It is increasingly clear that our new generation need to think critically to solve the ill-structured problems, uncertain and complex real world problems. …”
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A hybrid deep learning-based unsupervised anomaly detection in high dimensional data
Published 2022“…The second issue is the poor performance, which can be solved using one of the optimization algorithms. Several optimization algorithms have been investigated and tested, including stochastic gradient descent (SGD), RMSprop, Adam and Adamax. …”
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UTeM navigation system: pedestrian and traffic sign detection using CNN algorithm
Published 2022“…Thus, this system aims to solve the problems, by developing mobile navigation with safety features by taking UTeM campus as our scope of the study. …”
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Sony applicant recruitment system using fuzzy logic / Nik Zurifa Nabilah Zulkifli
Published 2022“…After establishing the criteria that influence Web Designers' selections, the problem is solved using fuzzy logic approaches, and the findings are reported. …”
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Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods
Published 2021“…On the other hand, FWZIC effectively computes the important weight of the criteria with zero inconsistency. The implications of this study bring benefits to the optimization community, industrial and researchers by providing exhaustive evaluation methodology for evaluating MaOO algorithms, which can be generalized to solve such problem effectively.…”
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Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
Published 2020“…Research methods have become a more important option to solve the difficult problems of NP because there are more powerful solutions and a great potential to require biology in a reasonable time. …”
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Temporal - spatial recognizer for multi-label data
Published 2018“…The first improvement is realized as TS-Layer Neocognitron algorithm which solves the shift in position problem in feature extraction phase. …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong
Published 2014“…To overcome this difficulty, this study proposes the use of multi-objective evolutionary algorithms (MOEAs) that are applied in the field of engineering for solving the multi-objective MVS portfolio optimization problem. …”
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
Published 2025“…In addition, Deep Learning, under the subset of machine learning, can solve various problems, especially in image processing and face recognition. …”
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