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1
Tag clouds algorithm with the inclusion of personality traits
Published 2015“…Therefore, the main objective of this study is to develop an algorithm that can adapt visual features of tag cloud layout styles based on personality traits of the user. …”
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…The CloudSim simulator is applied to evaluate each algorithm using key performance metrics, including makespan, average flow time, and the number of cloudlets that fail to meet deadlines. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…The proposed algorithm aimed at reducing cloud storage cost by strategically determining the best locations for evaluators within a network of nodes for efficient monitoring, particularly in surveillance contexts indicated by the mention of CCTVs. …”
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Prediction on weather forecast based on cloud shapes using CNN / Muhammad Ashraff Noor Azmi
Published 2024“…Remote weather stations are recommended to broaden weather monitoring coverage, especially in isolated regions where dependence on inhabited-area stations can lead to delayed or incomplete information, posing risks to agriculture and resource management. The development phase focuses on implementing the CNN algorithm specifically for weather prediction based on cloud shapes. …”
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ECG encryption enhancement with multi-layers of AES and DNA computing
Published 2023“…In order to more effectively incorporate both present technology and developing technology, models of DNA cryptography need to be developed. …”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
Published 2017“…In the present study, stochastic numerical computing approach is developed by applying artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary value problems arising in thermodynamic studies of the spherical gas cloud model. …”
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Comparison of Landsat 8, Sentinel-2 and spectral indices combinations for Google Earth Engine-based land use mapping in the Johor River Basin, Malaysia
Published 2021“…Seven satellite images and indices combinations include Landsat 8 (C1), Sentinel-2 (C2), Landsat 8+Sentinel-2 (C3), Landsat 8+Indices (C4), Sentinel-2+Indices (C5), Landsat 8+Sentinel-2+Indices (C6), Normalized Difference Vegetation Index (NDVI)+Normalized Difference Water Index (NDWI)+Enhanced Vegetation Index (EVI)+Elevation (C7) were developed to evaluate the best combination for land use mapping in the Johor River Basin (JRB), Malaysia. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…Utilizing the R Studio with Bibliometrix package and Shiny UI, the bibliometric study uncovered the thematic structure of the research area using co-occurrence network, revealed the intercorrelation concepts, represented the central themes and the evolution of research focus over 5 years through word clouds, Sankey diagram and others. The study findings indicate a growing and broader trend towards the integration of metaheuristics and optimization algorithms, echoing the interdisciplinary nature of this domain. …”
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Secure multi-authority attribute-based encryption access control with cache-aware scheduling in mobile cloud computing
Published 2021“…Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing, and wireless network to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. …”
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Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir
Published 2008“…In this study, a rainfall estimation algorithm using the information from the geostationary meteorological satellite infrared (IR) images is developed for potential input to a flood forecasting system. …”
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Adaptive resource allocation for reliable performance in heterogeneous distributed systems.
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An Energy-Efficient Cross-Layer approach for cloud wireless green communications
Published 2017“…The main challenge in WSN is to develop an energy efficient algorithm to minimize energy consumption during transmitting information from deployed sensors up to the cloud resources. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Lightning peak current estimation using a system identification approach
Published 2023“…A system identification-based lightning peak current estimation algorithm using upper-air radiosonde observations is developed. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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Mapping of Krau Wildlife Reserve (KWR) protected area using Landsat 8 and supervised classification algorithms
Published 2018“…The approaches of pan-sharpening and cloud patching were used to enhance the accuracy of LULC classification. …”
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Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
Published 2025“…Land use and land cover (LULC) analysis is crucial for understanding societal development and assessing changes during the Anthropocene era. …”
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Analysis and Optimization of Ultrasound-Assisted Alkaline Palm Oil Transesterification by RSM and ANN-GA
Published 2017“…The obtained results were then predicted by an optimized artificial neural network-genetic algorithm (ANN-GA) algorithm. The estimated results were compared with the experimental results. …”
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