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Titlebook: Intelligent and Cloud Computing; Proceedings of ICICC Debahuti Mishra,Rajkumar Buyya,Srikanta Patnaik Conference proceedings 2021 Springer

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31#
發(fā)表于 2025-3-26 23:10:18 | 只看該作者
A Power Optimization Technique for WSN with the Help of Hybrid Meta-heuristic Algorithm Targeting Fosensor area networks (WSNs) is presented in this research, which further results in energy efficiency in the concern network. An ant colony optimization (ACO)-based technique at random deployment has been considered for our proposed research in simulation. Results obtained in simulation and related
32#
發(fā)表于 2025-3-27 03:16:33 | 只看該作者
A Model for Probabilistic Prediction of Paddy Crop Disease Using Convolutional Neural Networkole in the life of humans, especially in the Indian Subcontinent. So, it is necessary for humans to protect the importance and productivity of agriculture. The IT industry is very significant for the agriculture and especially for the healthcare of agricultural industry. Machine Learning and Artific
33#
發(fā)表于 2025-3-27 06:14:55 | 只看該作者
A Hybridized ELM-Elitism-Based Self-Adaptive Multi-Population Jaya Model for Currency Forecastingnce and less efficiency of the popular forecasting methods, an Extreme Learning Machine (ELM)—elitism-based self-adaptive multi-population Jaya model—is designed with the possibilities of getting maximum prediction accuracy. The model has evaluated by using the exchange rate data of USD to INR and U
34#
發(fā)表于 2025-3-27 11:14:21 | 只看該作者
35#
發(fā)表于 2025-3-27 15:30:17 | 只看該作者
36#
發(fā)表于 2025-3-27 19:05:46 | 只看該作者
37#
發(fā)表于 2025-3-27 22:25:33 | 只看該作者
Performance Analysis of ERWCA-Based FLANN Model for Exchange Rate Forecastingate data are nonlinear and dynamic in nature, variants of artificial neural network (ANN) models are the common choice for developing forecasting models. To overcome the drawbacks of neural network models, different nature-inspired optimization algorithms have been proposed. In this paper, the FLANN
38#
發(fā)表于 2025-3-28 04:16:47 | 只看該作者
Multi-document Summarization Using Deep Learningg exponentially, there is a high chance of duplication of data; it is difficult and tedious for the manual reading of all the documents as well as the rejection of the duplicates and extraction of useful information. One of the solutions to this issue is “Text Summarization,” through which a huge vo
39#
發(fā)表于 2025-3-28 09:35:26 | 只看該作者
sen und Information im Interesse auch der Informationswirtschaft ist. Je freizügiger der Umgang mit Wissen jeder Art ist, desto gr??er die Chancen für einen hohen Innovationsgrad der Wirtschaft, für einen hohen Inventionsgrad der Wissenschaft und einen hohen Demokratisierungs-/Transparenzgrad des po
40#
發(fā)表于 2025-3-28 11:04:19 | 只看該作者
sen und Information im Interesse auch der Informationswirtschaft ist. Je freizügiger der Umgang mit Wissen jeder Art ist, desto gr??er die Chancen für einen hohen Innovationsgrad der Wirtschaft, für einen hohen Inventionsgrad der Wissenschaft und einen hohen Demokratisierungs-/Transparenzgrad des po
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