Search Results - (( developing security prediction algorithm ) OR ( java implication based algorithm ))
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A smart food security monitoring and predicting algorithm for rice productivity in Southeast Asia
Published 2025“…Specifically, the methodology integrates Simple Linear Regression–Multivariable Linear Regression (SLR-MLR) into a unified predictive algorithm. By incorporating all four dimensions of food security: availability, accessibility, stability, and utilization, the proposed algorithms outperform conventional Artificial Intelligence (AI) predictive algorithms, offering superior accuracy and actionable insights. …”
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Evaluating Power Reliability Dedicated for Sudden Disruptions: Its Application to Determine Capacity on the Basis of Energy Security
Published 2018“…The developed algorithm can be readily implemented in any electrical system network including microgrid and rural electrification.…”
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Secure block cipher inspired by the human immune system
Published 2012“…In computer security service, cryptographic algorithm is used to ensure adequate security of the systems or of data transfers. …”
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Adaptive artificial neural network for power system security assessment and control action
Published 2012“…Furthermore,an AANN for power system security assessment was developed for steady state and dynamic security assessments. …”
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming
Published 2024“…This predictive algorithm is designed specifically for short-term rice production prediction and stood out by seamlessly integrating features that addressed both availability, accessibility, and stability dimensions of food security, further identifying key determinants impacting rice production, categorized into three clusters: atmospheric, socioeconomic, and farming practices. …”
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Secure lightweight client for cloud-based E-Health Model
Published 2023“…The time cost of each component in the security state is extracted as parameters to compute the perceived and predicted values of the security situation of the proposed model. …”
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Extreme gradient boosting (XGBoost) regressor and shapley additive explanation for crop yield prediction in agriculture
Published 2022“…To increase the nation's food security, policymakers must rely on accurate crop yield predictions in order to easily obtain trade - related evaluations. …”
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Proceedings -
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Minimising coverage holes for prediction-based mobile object target tracking in wireless sensor networks
Published 2017“…Hence, work presented in this thesis could be useful to WSN algorithms developers, and also to people who plan the deployment of nodes in a region of interest. …”
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Risk-ranking matrix for security patching of exploitable vulnerabilities
Published 2024“…Hence, there is a need to utilize machine learning to develop a model to predict the highly exploitable vulnerabilities by the threat actors and a model to predict the number of future vulnerability to support a cost-effective cyber security management. …”
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Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil
Published 2021“…Meanwhile, experiments using five common algorithms, Random Forest Regressor Model outperforms four (4) other algorithms in predicting the price of green building condominium, by training and validating the data-set using Split approach. …”
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Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean
Published 2007“…This paper presents the need for such a prediction and optimization engine that discusses the approach for history-based prediction and optimization. …”
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