Search Results - (( java implication tree algorithm ) OR ( problem implication from algorithm ))

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. …”
Get full text
Get full text

Modified Harris Hawks Optimization Algorithm For Protein Multiple Sequence Alignment by Ibrahim, Al-Zaidi Mohammed Khaleel

Get full text
Get full text

Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods by Salih, Rawia Tahrir

“…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.…”
Get full text
Get full text

A Method for Mapping XML DTD to Relational Schemas In The Presence Of Functional Dependencies by Ahmad, Kamsuriah

“…To approach the mapping problem, three different components are explored: the mapping algorithm, functional dependency for XML, and implication process. …”
Get full text
Get full text

A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

“…Therefore, a new space-time fuzzy implication operator is introduced, by modifying the existing implication operators to accommodate time as an added dimension. …”
Get full text
Get full text

Assessment of using EZ-Prog: an easy color schematic model for programming problem solving by Siti Nordianah Hai Hom, Hasnul Hadi Ibrahim, Abrizah Ibrahim, Mudiana Mokhsin, Corrienna Abdul Talib

“…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
Get full text
Get full text
Get full text

Real-Time Optimal Trajectory Correction (ROTC) for autonomous quadrotor / Noorfadzli Abdul Razak by Abdul Razak, Noorfadzli

“…Integrating a trajectory correction algorithm in the navigation control can overcome this problem. …”
Get full text
Get full text

Investigating the cognitive processes in solving management science problems by Cheng, Sheila, Siow, Heng Loke

“…Results of the study reveal that performance of well-structured problems is independent from the ill-structured problems. …”
Get full text
Get full text

Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review by Diandra Chika Fransisca, Sukono, Diah Chaerani, Nurfadhlina Abdul Halim

Sony applicant recruitment system using fuzzy logic / Nik Zurifa Nabilah Zulkifli by Zulkifli, Nik Zurifa Nabilah

“…Fuzzy Logic algorithms have adapted to fit a wide range of uses. …”
Get full text
Get full text

Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL) by Ku, Soh Ting, Talib, Othman, Md. Yunus, Aida Suraya, Zolkepli, Maslina

“…Computational thinking is one of the conceptual foundations which required combination of data and ideas to solve problems effectively and efficiently. Computational thinking is essential to computing and information science (i.e., algorithmically, with or without the assistance of computers) to solve problems with solutions that are reusable in different contexts. …”
Get full text
Get full text

Temporal - spatial recognizer for multi-label data by Mousa, Aseel

“…The first improvement is realized as TS-Layer Neocognitron algorithm which solves the shift in position problem in feature extraction phase. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Evaluation and optimization of frequent, closed and maximal association rule based classification by Mohd Shaharanee, Izwan Nizal, Hadzic, Fedja

“…Real world applications of association rule mining have well-known problems of discovering a large number of rules, many of which are not interesting or useful for the application at hand.The algorithms for closed and maximal item sets mining significantly reduce the volume of rules discovered and complexity associated with the task, but the implications of their use and important differences with respect to the generalization power, precision and recall when used in the classification problem have not been examined.In this paper, we present a systematic evaluation of the association rules discovered from frequent, closed and maximal item set mining algorithms, combining common data mining and statistical interestingness measures, and outline an appropriate sequence of usage.The experiments are performed using a number of real-world datasets that represent diverse characteristics of data/items, and detailed evaluation of rule sets is provided as a whole and w.r.t individual classes. …”
Get full text
Get full text

Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer review by Bilal, M., Marjani, M., Hashem, I.A.T., Malik, N., Lali, M.I.U., Abdullah Gani

“…Furthermore, the performance of Machine Learning (ML) algorithms and the importance of features are separately examined for both problems using different time span of reviews. …”
Get full text
Get full text
Get full text

Artificial intelligence (AI) and its application in architecture design: a thematic review by Jin, Deran, Zairul, Mohd, Salih, Sarah Abdulkareem

“…Data for this research encompassed a thematic review of 54 publications spanning from 2019 to 2023. The use of ATLAS. ti 23 aided in documenting and indicating the research directions pursued by scholars. …”
Get full text
Get full text
Get full text

Predicting purchase behaviour of Indonesian and French Muslim consumers: insights from a multi-group analysis by Farah Syahida, Firdaus, Ikhsan, Ridho Bramulya, Fernando, Yudi

Get full text
Get full text
Get full text
Get full text

XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection by Bouke, Mohamed Aly, Alramli, Omar Imhemed, Abdullah, Azizol

“…However, these algorithms often suffer from the "black box" dilemma, a lack of transparency that hinders their applicability in security contexts where understanding the reasoning behind classifications is essential for effective risk assessment and mitigation strategies. …”
Get full text
Get full text
Get full text

Cognitive load assessment through EEG: a dataset from arithmetic and stroop tasks by Nirabi, Ali, Abd Rahman, Faridah, Habaebi, Mohamed Hadi, Sidek, Khairul Azami, Yusoff, Siti Hajar

“…The dataset incorporates EEG signals obtained from 15 subjects, with a gender distribution of 8 females and 7 males, and a mean age of 21.5 years [ 1 ]. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Aligning Malaysian SMEs with the megatrends: the roles of HPWPs and employee creativity in enhancing Malaysian SME performance by Ismail, AbdussalaamIyanda, Abdul Majid, Abdul Halim, Abdul Rahman, Maria, Jamaluddin, Noor Asma, Susantiy, Ade Irma, Setiawati, Cut Irna

“…Finally, the implications, limitations and suggestions for future research are discussed.…”
Get full text
Get full text

Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
Get full text
Get full text
Get full text
Get full text