GEST
发表于 2025-3-30 10:36:27
Grundbegriffe und rechtliche Grundlagenof this work is to implement a hybrid model for prediction by integrating the advantages of artificial neural net (ANN) and fuzzy logic. Genetic algorithm (GA) and particle swarm optimization (PSO) have been applied to optimize parameters of developed predicting model. The proposed scheme used a fuz
Macronutrients
发表于 2025-3-30 13:04:22
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ANTH
发表于 2025-3-30 19:51:37
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共同生活
发表于 2025-3-30 20:46:13
Martin Korda (Lehrbeauftragter)mes special significance. This paper represents a deep learning approach based on long short-term memory (LSTM) neural networks for efficient asset prognostics to save machines from critical failures. The effectiveness of the proposed methodology is demonstrated using the NASA-CMAPSS dataset, a benc
LASH
发表于 2025-3-31 01:32:01
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预测
发表于 2025-3-31 07:41:12
Martin Korda (Lehrbeauftragter)techniques are tested on different machine learning classifiers like tree-based, SVM, KNN and ensemble learning. Most of the intrusion detection technique tested on benchmark NSL-KDD dataset. But the standard NSL-KDD dataset is not balanced, i.e., for some classes, this dataset has an insufficient n
Progesterone
发表于 2025-3-31 09:12:25
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吸引力
发表于 2025-3-31 14:25:36
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休息
发表于 2025-3-31 21:26:41
https://doi.org/10.1007/978-3-642-99607-8s classifiers. This paper presents a comprehensive review of feature extraction techniques used in vision-based sign language recognition system. A taxonomy of currently used techniques for feature extraction has been presented. The paper concludes by presenting future direction in feature extraction technique for Indian sign language (ISL).
表主动
发表于 2025-4-1 01:38:53
Otto Blum,G. Schimpff,W. Schmidturity solutions are essential for end-to-end security. Considering this current scenario, in this paper, the key management techniques, particularly the lightweight Key Management Systems (KMS) methodologies that have been proposed in the past are reviewed in the context of Advanced Metering Infrastructure (AMI) of the Smart Grid Systems.