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221
Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs
Published 2008“…It would also enhance the simplicity and effectiveness of optimizing the performance of such systems.…”
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222
Enhancement of blocking performance in all-optical WDM networks via wavelength reassignment and route deviation
Published 2012“…The performance of the rerouting strategy is studied through extensive simulations in the context of networks employing the least congested path (LCP) routing algorithm and the first-fit (FF) wavelength assignment strategy. …”
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223
Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC
Published 2022“…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …”
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224
An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
Published 2001“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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225
An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
Published 2001“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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226
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
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doctoralThesis -
227
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
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228
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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229
Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
Published 2024“…They often lack the adaptability required to respond to the dynamic and complex nature of healthcare environments, struggle with optimizing latency, and fail to address specific node capacity constraints key factors that impacts the effectiveness of healthcare applications. …”
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230
Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS
Published 2022“…A hybrid artificial neural network coupled with a metaheuristic Whale optimization algorithm has been developed to estimate the overall deflection of concrete beams due to creep and shrinkage. …”
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231
Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework
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doctoralThesis -
232
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”
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233
Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
Published 2025“…Finally, key research gaps and future directions for effective PGP are outlined. This paper provides PS researchers with a bird’s eye view of the current state of mainstream PGP implementations. …”
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234
LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”
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235
Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring
Published 2024“…The occupancy detection approach has proven highly effective, with a testing accuracy rate of 95.12% and f1-scores of 94.55%. …”
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236
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
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doctoralThesis -
237
SemIndex: Semantic-Aware Inverted Index
Published 2017“…Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.…”
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conferenceObject -
238
Ultra-small cell networks with collaborative RF and lightwave power transfer
Published 2019“…Both problems are optimally solved by appropriate algorithms. Moreover, we propose a closed-form suboptimal solution with high accuracy to tackle the optical transmitters’ resource allocation problem, as well as an efficient semi-decentralized method. …”
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239
On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity
Published 2020“…We de ne the constraints of the problem, model it as a Markov Decision Process, and propose a reinforcement learning-based solution to optimize the UAV trajectory. Simulation results are presented for both parts of the thesis to illustrate the effectiveness of the proposed solutions and algorithms in comparison with optimal solutions and baseline algorithms.…”
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masterThesis -
240
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
Published 2017“…Companies have adopted social media as an essential tool for realizing potential customer needs and to ensure optimal customer satisfaction. Analyzing the content, type and the best time of posting can effectively impact and benefit a business. …”
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