Concept Drift Analysis and Malware Attack Detection System Using Secure Adaptive Windowing

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A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction

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Summary: Flight delay is a major concern in the aviation industry worldwide, and this research successfully predicts flight arrival delay using Artificial Neural Network and achieves better accuracy with selectively trained data.

SCIENTIFIC PROGRAMMING (2021)

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Article Computer Science, Information Systems

Efficient Algorithm Based on Adaptive Window-Model Predictive Control for Automatic Stacking in Warehouse Center

Qing Chang et al.

Summary: In this article, a new mathematical formulation is introduced to address the three-dimensional stacking problem in warehouse distribution centers. A model predictive control scheme is proposed to optimally solve the problem by appropriately arranging incoming packages and fully utilizing cart capacity, while taking into account practical and hard constraints to ensure optimization. The efficacy of the proposed strategy is demonstrated through a numerical case study, showing its applicability to large carts by introducing the adaptive window idea.

IEEE ACCESS (2021)

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Ensuring cybersecurity of smart grid against data integrity attacks under concept drift

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

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Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

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Article Engineering, Civil

An Adaptive Window Size Selection Method for Differentially Private Data Publishing over Infinite Trajectory Stream

Geonhyoung Jo et al.

JOURNAL OF ADVANCED TRANSPORTATION (2018)

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Article Computer Science, Information Systems

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift

Yange Sun et al.

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2016)

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Article Computer Science, Theory & Methods

A Survey on Concept Drift Adaptation

Joao Gama et al.

ACM COMPUTING SURVEYS (2014)

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Concept Drift Analysis and Malware Attack Detection System Using Secure Adaptive Windowing

Related references

A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction

Efficient Algorithm Based on Adaptive Window-Model Predictive Control for Automatic Stacking in Warehouse Center

Ensuring cybersecurity of smart grid against data integrity attacks under concept drift

Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services

An Adaptive Window Size Selection Method for Differentially Private Data Publishing over Infinite Trajectory Stream

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift

A Survey on Concept Drift Adaptation

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