Search Results - (( intelligence based data algorithm ) OR ( intelligence making protocol algorithm ))
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IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]
Published 2025“…This study presents an Internet of Things (IoT)-based intelligent monitoring and alert system for detecting headwater phenomena in real time. …”
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Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]
Published 2017“…Researchers then performed data preprocessing on the data. Afterwards, data mining algorithms were applied in order to forecast electric load. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…In the agent-based approach to middleware, the agent’s property such as autonomous, mobile and intelligent are suitable as e-assistance tool for big data management. …”
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A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANET
Published 2022“…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs
Published 2023“…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…Even with the possible advantages accruing from them, data fragmentation, quality issues, and ethical concerns over patient privacy and decision-making processes continue to be a problem. …”
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A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancingm Efficiency and Security of VANET
Published 2022“…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs
Published 2022“…The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. …”
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A conceptual automated negotiation model for decision making in the construction domain
Published 2023“…Artificial intelligence; Automation; Autonomous agents; Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Network architecture; Automated negotiations; Conflict resolution algorithms; Decision making process; Intelligent software agent; Multiagent negotiation; Negotiation algorithm; Negotiation protocol; Value management; Software agents…”
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Automated multi-agent negotiation framework for the construction domain
Published 2023Conference Paper -
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Time series data intelligent clustering algorithm for landslide displacement prediction
Published 2018“…To address this problem, an intelligent clustering algorithm for time series data in landslide displacement prediction based on nonlinear dynamic time bending is proposed in this paper. …”
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A Survey of Stochastic processes in Wireless Sensor Network: a Power Management Prospective
Published 2013“…Statistical tools are quite famous for the decision making procedure in artificial intelligence, self-learning and neural network. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…Whereas the process of examining through the web pages, retrieving and searching the relevant data in a liTML page, and selecting the best satisfying data are based on the features and operations of the Genetic Algorithms.…”
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Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach
Published 2024Subjects:Conference Paper -
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Development of an intelligent prediction tool for rice yield based on machine learning techniques
Published 2006“…Whereas kernel-based clustering algorithm is developed for finding clusters in climate data. …”
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Advances in materials informatics: A review
Published 2024“…Conventional ML models are simple and interpretable, relying on statistical techniques and algorithms to learn patterns and make predictions with limited data. …”
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