Search Results - (( effective implementation framework algorithm ) OR ( java implication from algorithm ))

Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

“…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”

Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

“…Evaluations of four different sets of applications that used the proposed implementation frameworks with dynamic parameterization have indicated the effectiveness of each tested algorithm in comparison to the single PSO and constant parameterization. …”
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Genetic algorithm based ensemble framework for sentiment analysis by Lai, Po Hung

“…The objectives of this work include to investigate the effects of diversifying the feature selection methods on the sentiment analysis results and estimate suitable thresholds to apply, to investigate the effects of diversifying the feature extraction methods on the sentiment analysis results and lastly to implement and evaluate the performance of a multi-layer ensemble framework with optimization algorithm to produce accurate results. …”
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Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb by Riyaz Ahamed , Ariyaluran Habeeb

“…Furthermore, when implemented, this framework shall enable an organization to instantly detect anomaly in real-time while having potential for a more effective fault tolerance and scalability. …”
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A framework for implementing asynchronous replication scheme in utility-based computing environment by Wan Nor Shuhadah, W.N., Zhou, B.B., Zomaya, A.Y., Abawajy, J.H.

“…Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.…”
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NIS-Apriori-based rule generation with three-way decisions and its application system in SQL by Sakai, H., Nakata, M., Watada, J.

“…Subsequently, the implementation of the NIS-Apriori algorithm in SQL is described and a few new topics induced by effects of NIS-Apriori-based rule generation are confirmed. …”
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A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks by , Abdul Wahid, Khan, Adnan Umar, , Mukhtarullah, Khan, Sheroz, Shah, Jawad

“…However open problems like effect of pooling operations, batch normalization and dictionary learning in context of ML-CSC framework remain challenging issues especially in implementation scenarios. …”
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A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings by Norazam, Nur Muhamad Afif, Mohd Noh, Hamidun, Ishak, Mohd Hafizal, Zulkefli, Nursyazwani, Jumali, Muhammad Arif, Brown, Jeffery Jep

“…Using PRISMA methodology, 36 articles published between 2020 - 2024 were systematically reviewed, analysing implementation frameworks, energy optimization strategies, and security considerations. …”
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A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology by Tay, Kai Meng, Pang, Lie Meng, Lim, Chee Peng, Ishibuchi, Hisao

“…In this paper, we further propose a new three-stage framework to develop a computationally efficient MFRR algorithm. …”
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A test case generation framework based on UML statechart diagram by Salman, Yasir Dawood

“…The proposed algorithms provide correct results, and the prototype is able to generate test case effectively. …”
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New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad by Mohd Lokman, Anitawati, Ahmad, Aishah

“…This algorithm can be implemented in both website and search engine.…”
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A robust, scalable multi-robot control and coordination framework achieving high throughput for parcel sorting centers by Ch'ng, Chee Henn

“…Due to its assumption of a non perfect environment, unlike traditional algorithms, the framework is easier to implement. By balancing reactive and deliberative strategies, this framework bridges the gap between theoretical models and practical applications in robotics and automation. …”
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Enhancement of parallel thinning algorithm for handwritten characters using neural network by Engkamat, Adeline

“…Thus, this project presents a framework for the implementation of a multilayer perceptron neural network with backpropagation algorithm, in the Parker thinning algorithm in order to produce a fast fully parallel thinning algorithm. …”
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0 by Chong, Agnes Wen Lin

“…The purpose is to interpret the implementation of businessanalytic ultimately affects the overall performance of the organization. and creatingafeasible framework. …”
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Development of task distribution algorithm for multi-robot coordination system by Sin, Han Bin

“…Effective task distribution and self-navigation of robots are simulated in Gazebo and RViz2 respectively with the integration of the RMF framework and ROS2. …”
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Fraud Detection in Shipping Industry using K-NN Algorithm by Subramaniam G., Mahmoud M.A.

Compressed Sensing Implementations For Sparse Channel Estimation In OFDM Systems by Uwaechia, Anthony Ngozichukwuka

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A new framework for multi-partition finite state machine low power design based on genetic algorithm by Masoumidezfouli, Seyedhossein

“…Therefore, by using such techniques, an innovative multi-partitioning solution can be achieved for a low-power FSM design using the GA algorithm. This dissertation proposes a new framework to a multi-partitioning approach to implement FSMs, which aims to improve low power design. …”
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Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems by Najmeh Sadat Jaddi, Salwani Abdullah, Say leng goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian

“…This study introduces two novel migration policies in multi-population version of kidney-inspired algorithm (KA) to address this dilemma. The initial algorithm, coded as MultiPop-KA, implements a predetermined migration policy. …”
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A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization by Maizura, Ibrahim

“…This thesis aims at providing solutions to the problem by introducing an authorization framework, namely the Federated Grid Usage Control (FGUC) with a new ontology-based policy model, namely, the UCON based Access Control Ontology (UBACO), and a new grid authorization algorithm, namely, the Elimination of the Irrelevant Authorization Rules Set (EIARS). …”
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