بدائل البحث:
used optimization » based optimization (توسيع البحث), ahead optimization (توسيع البحث), level optimization (توسيع البحث)
binary data » binary rat (توسيع البحث)
used optimization » based optimization (توسيع البحث), ahead optimization (توسيع البحث), level optimization (توسيع البحث)
binary data » binary rat (توسيع البحث)
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
منشور في 2023"…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"
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Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
منشور في 2024"…Given the ongoing challenges in agriculture, there is a belief that incorporating the latest technologies is crucial. The primary objective of this study is to explore how Deep Learning algorithms can be beneficial in categorizing agricultural records, particularly in monitoring and identifying variations in spring wheat germplasm. …"
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…Different classification algorithms were applied to the dataset using the Rapidminer tool. …"
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Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
منشور في 2024"…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
منشور في 2024احصل على النص الكامل
doctoralThesis -
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Deep and transfer learning for building occupancy detection: A review and comparative analysis
منشور في 2022"…Occupancy data might be collected using a variety of devices. …"
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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Towards Multimedia Fragmentation
منشور في 2006احصل على النص الكامل
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conferenceObject