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Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 2021 The Ed

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發(fā)表于 2025-3-28 15:11:23 | 只看該作者
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發(fā)表于 2025-3-28 19:04:10 | 只看該作者
Building a Classifier of Behavior Patterns for Semantic Search Based on Cuckoo Search Meta-heuristi the users. To reduce the search space, the paper proposes a bio-inspired algorithm based on the cuckoo search. The algorithm is compared with fuzzy c-means algorithm on Machine Learning Repository of the University of California, Irvine. The results show the effectiveness and prospects of the proposed method in the semantic search systems.
43#
發(fā)表于 2025-3-28 23:36:16 | 只看該作者
Dynamic Stability Enhancement of Grid Connected Wind System Using Grey Wolf Optimization Technique,is applied to optimize the duty cycle of DC-DC chopper. According to the GWO optimized duty cycle signal of chopper charging and discharging of SMEs unit has been controlled. The validation of GWO based control scheme is done with the help of MATLAB simulation results.
44#
發(fā)表于 2025-3-29 06:36:00 | 只看該作者
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發(fā)表于 2025-3-29 08:09:33 | 只看該作者
Modelling Subjective Happiness with a Survey Poisson Model and XGBoost Using an Economic Security Adeterminants of a higher level of expected happiness, when we control for basic socio-demographic characteristics. Additionally, the analysis of missingness patterns in the target variable reveals some respondents’ characteristics at the time of self-reporting satisfaction.
46#
發(fā)表于 2025-3-29 15:18:49 | 只看該作者
Information Technology for the Synthesis of Optimal Spatial Configurations with Visualization of ther, the presented technology allows changing the current configuration interactively. This instrument is of particular importance since most of the problems under consideration are NP-complete, and there are no methods for treating them guaranteed finding the optimal global solution.
47#
發(fā)表于 2025-3-29 18:05:32 | 只看該作者
Occurrence Prediction of Pests and Diseases in Rice of Weather Factors Using Machine Learning, using machine learning techniques to identify the climatic conditions which are favorable to pest and disease associated with rice. We also propose to develop a model that will identify whether a given weather condition will support the occurrence of pest and disease.
48#
發(fā)表于 2025-3-29 22:51:38 | 只看該作者
2194-5357 ms presented at CIS 2020, New Delhi, India.Serves as a referThis book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India during September 5 – 6, 2020. It includes novel and innovative work from experts, practitioners, scient
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發(fā)表于 2025-3-30 03:55:20 | 只看該作者
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