莎草
发表于 2025-3-30 08:14:05
Schweizer Agrarpolitik: Stand der Evaluationmay neglect to meet business wants as a result of the absence of business context and cluster arranged framework. In this paper, we present an objective situated large information investigation system for better business choices, which comprises a theoretical model which associates a business side a
malapropism
发表于 2025-3-30 15:36:09
Verification of the Model Evaluation of LSM,ching characteristics built into circuits itself. In CVSL logic output results are held until inputs induce a change, so that there is no loss of data, thereby saving energy and power. In today’s digital application low power has become a key factor in high-speed computations. The proposed work give
要控制
发表于 2025-3-30 16:38:38
The Evaluation of Broad-Aim Programsation of ripped tobacco leaves is one of the challenging tasks. Generally in India, the classification of ripped leaves is done by a manual process only. Machine learning-based classification model is introduced to nullify the human intervention in the classification of tobacco ripped leaves. The pr
有机体
发表于 2025-3-30 21:32:38
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显而易见
发表于 2025-3-31 01:13:42
https://doi.org/10.1007/978-981-15-5258-8Genetic Algorithms; Optimization Algorithms; Capsule Networks; Software Defined Networking; Sustainable
etiquette
发表于 2025-3-31 07:17:37
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Rustproof
发表于 2025-3-31 11:56:43
A Systemic Method of Nesting Multiple Classifiers Using Ensemble Techniques for Telecom Churn Predialytics supports to accomplish of momentous insights from customer data. This trend is more distinct in the telecommunication industry. The most challenging issue for telecom service providers is the increased churn rate of customers. In Existing works, combining various classification algorithms to
污秽
发表于 2025-3-31 17:10:03
Hybrid Method in Identifying the Fraud Detection in the Credit Card,ened. The fraud activities associated with it have also been increasing which leads to a huge loss to the financial institutions. Therefore, we need to analyze and detect the fraudulent transaction and separate them from the non-fraudulent ones. The paper proffers the frame work to detect credit car