Search Results - (( learning interaction issues algorithm ) OR ( java implication based algorithm ))
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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
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Algorithm visualization design guidelines for mobile leaning
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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…In doing so, this paper reviews two existing parameter free optimization algorithms involving Teaching Learning Based Optimization (TLBO) and Fruitfly Optimization Algorithm (FOA) in an effort to promote their adoption for CIT.…”
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Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms
Published 2023“…In this paper, we use an existing data set from previous research, which has 100 records of data, and manipulate the data by applying three machine learning algorithms for implementing classification and regression tasks. …”
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Predicting open space parking vacancies using machine learning
Published 2023“…Predicting open parking vacancies using machine learning is a practical and effective solution to overcome parking issues. …”
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Final Year Project / Dissertation / Thesis -
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A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan
Published 2024“…The main objective of this research is to develop and present a HBVEF-framework to design a HBVE for autistic people to improve their spatial awareness and to significantly improve their interaction abilities through haptic rendering. This research also aims to present a reliable autonomous algorithm that minimizes the issues with localization and navigation skills among autistic people in a HBVE to improve their wayfinding and spatial knowledge. …”
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Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm
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Pairwise Test Suite Generation Using Adaptive Teaching Learning-Based Optimization Algorithm with Remedial Operator
Published 2019“…Pairwise test design technique is found useful by testers to sample only required configuration options of these systems for exploring errors owing to their interactions. Being a NP-complete problem, pairwise test suite generation problem has been addressed using several meta-heuristic algorithms including the Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm in the literature. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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The design for antrophomorphic sociable agent interaction through emotion detection
Published 2003“…Thus, it will give a new direction of human-computer interaction issues in designing the most suitable interface that can understand our behaviour and respond to it Scope of Presentation: Artificial Intelligence, Cognitive Science, Affective Computing, and Human-Computer Interaction.…”
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj
Published 2023“…The conventional face-to-face learning can be supported with AI-based system for Quranic teaching and learning. …”
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A comparative analysis of machine learning techniques for cyberbullying detection on twitter
Published 2020“…One of these issues is cyberbullying, which is a critical global issue that affects both individual victims and societies. …”
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Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq
Published 2021“…Even though there was no significant difference between the scores of the active learning methods, a comparison between both the approaches from a teaching perspective suggested that game-based learning was more suitable due to its interactivity. …”
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Temporal integration based factorization to improve prediction accuracy of collaborative filtering
Published 2016“…The data sparsity problem has been solved by several approaches such as Bayesian probabilistic, machine learning, genetic algorithm, particle swarm optimization and matrix factorization. …”
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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites
Published 2019“…The use of meta-heuristic algorithms as the basis for t-way (where t indicates the interaction strength) and mixed strength testing strategies is common in recent literature. …”
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