Search Results - (( data integration types algorithm ) OR ( using codification based algorithm ))
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1
Integrating genetic algorithms and fuzzy c-means for anomaly detection
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2
Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun
Published 2019“…To fuse data from different sensors, the correlation algorithm is vital. …”
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Thesis -
3
Fsm-Based Enhanced March C- Algorithm For Memory Built-In Self-Test
Published 2017“…As a conclusion, the enhanced MARCH C- algorithm had increased its fault type identification in Data Retention Fault and Read Destructive Fault while having the ability to structurally identify the fault types.…”
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4
Improving collection of data type evidence and the integrity of evidence collected using SHA-256 hashing algorithm for web browsers
Published 2024“…Therefore, this study proposes the addition in toolkits implementation, the latest software tools version and the latest solution, an improvement proof-of-concept utilizes SHA-256 hashing algorithm to improve the collection of evidence and enhance integrity. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
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6
Integration of spectroscopy and chemometric analysis for food authentication: a review
Published 2025“…This review presents a comparative synthesis of algorithms for various types of food samples, highlighting the performance of predictive algorithms. …”
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Integrated ACOR/IACOMV-R-SVM Algorithm
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IOT-based fertigation system / Mohamad Amir Furqan Darus
Published 2024“…Advanced algorithms and machine learning processes this data to determine the ideal irrigation and fertilization needs. …”
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Student Project -
9
Automated data process in participatory sensing using QR-code and EAN-13 barcode
Published 2018“…The results showed that the algorithm was able to preserving data integrity with 99.13% and up to 100% accuracy.…”
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Prognostic Health Management of Pumps Using Artificial Intelligence in the Oil and Gas Sector: A Review
Published 2022“…Once data models are trained, the data-processing logic can be integrated into onboard controllers, allowing for real-time health evaluation and analysis. …”
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Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…Subsequently, the integration of embedded correlation-based filtering algorithm has further increased the classification accuracy of training process and testing process by 4.93% and 14.73% respectively. …”
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14
WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10
Published 2022“…In addition, the SHA-1 hashing algorithm was used to improve the evidence's integrity. …”
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Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning
Published 2019“…Other types of the ART-based topological clustering algorithms have been developed, however, these algorithms have various drawbacks such as a large number of parameters, sensitivity to noisy data. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…The first modification is the integration of BH algorithm and levy flight, which result in data clustering method, namely “Levy Flight Black Hole (LBH)”. …”
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Thesis -
17
Enhancing Efficientnet-Yolov4 For Integrated Circuit Detection On Printed Circuit Boards
Published 2024“…Accurately detecting integrated circuits (ics) on pcbs presents a significant challenge in automated inspection due to the wide range of component sizes and types, as well as various printing and markings on the pcb, which complicate object detection. …”
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18
Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks
Published 2006“…The interaction of different traffic type flows in a DiffServ networks using the proposed integration model between FWFQ and the dual token bucket shaper algorithm is analyzed. …”
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19
Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system
Published 2022“…In future, the HW-DBN algorithm can be proposed as an integrated deep Learning for the classification performance of attack detection models.…”
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20
An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs
Published 2018“…In order to improve the effectiveness of intrusion detection systems (IDSs), data analysis methods such as data mining and classification methods are often integrated with IDSs. …”
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