بدائل البحث:
data optimization » dog optimization (توسيع البحث), swarm optimization (توسيع البحث), based optimization (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
data optimization » dog optimization (توسيع البحث), swarm optimization (توسيع البحث), based optimization (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
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Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
منشور في 2024"…LeNet demonstrates optimized accuracy in classifying the records, outperforming CNN by 52% and Inception-V3 by 70%. …"
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84
Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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85
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86
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87
Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective
منشور في 2024"…Furthermore, we recommend four promising research avenues in this interplay: (1) incorporating new decisions relevant to data-enabled SC decisions, (2) developing data-enabled modeling approaches, (3) preprocessing parameters, and (4) developing data-enabled algorithms. …"
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88
Exam scheduling algorithms. (c1999)
منشور في 1999احصل على النص الكامل
احصل على النص الكامل
masterThesis -
89
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
منشور في 2022"…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …"
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90
An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan
منشور في 2024"…In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex search algorithm (SSA). We designate the resulting algorithm as NEPFM-SSA as it took NEPFM’s Weibull distribution parameters as an initial guess and retuned them with the help of the simplex search algorithm to get updated Weibull distribution parameters, which ensure better fitting characteristics. …"
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91
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
منشور في 2024"…Then, the DRF optimization algorithm is applied to optimally tune the features required for accurate intrusion detection and classification. …"
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92
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…In this paper, we formulate a distributed downlink power allocation problem to optimize the transmit power for users to reach target data rates in hybrid RF/VLC networks. …"
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93
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
منشور في 2024"…In a postfault scenario, a copula of processing blocks is implemented to ensure the reliability of the proposed method where high-importance features are incorporated into the TCN-GWO model. The proposed algorithm unlocks scalability and system adaptability to operational variability by adopting numeric imputation and missing-data-tolerant techniques. …"
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94
A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
منشور في 2020"…We also find optimal parameters values for a specific class of data sets and give recommendations on the choice of parameters for general data sets. …"
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95
Graph Contraction for Mapping Data on Parallel Computers
منشور في 1994"…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …"
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96
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97
Scatter Search algorithm for Protein Structure Prediction
منشور في 2016"…The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. …"
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98
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99
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021"…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"
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100
Implementation of trust region methods in optimization. (c1998)
منشور في 1998احصل على النص الكامل
احصل على النص الكامل
masterThesis