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1741
Black box algorithms and the rights of individuals: no easy solution to the “explainability” problem
Published 2021-06-01“…Over the last few years, the interpretability of classification models has been a very active area of research. Recently, the concept of interpretability was given a more specific legal context. …”
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1742
EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm
Published 2024-12-01Get full text
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1743
An Exact Top- Query Algorithm with Privacy Protection in Wireless Sensor Networks
Published 2014-02-01Get full text
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1744
Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever
Published 2019-05-01“…The results of this optimization are the diagnosis of typhoid fever based on the variable of indications entered. From the research results obtained from the neuro fuzzy method get an 80% accuracy value and neuro fuzzy optimization results with genetic algorithms with a value of pc 0.5, pm 0.2 and max generation 25 the value of accuracy increases to 90%. …”
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1745
A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks
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1746
Performance of Machine Learning Algorithms on Automatic Summarization of Indonesian Language Texts
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1747
Hiding Encryption Text by DNA using Exploiting Modification Direction Algorithm
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1748
Key Transmission Section Search Strategy Based on Improved Clustering Algorithm
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1749
Automatic eddy detection in the MIZ based on YOLO algorithm and SAR images
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1750
A hybrid swarm intelligent optimization algorithm for antenna design problems
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1751
Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images
Published 2021-12-01“…Therefore, a low-intricacy multi-step algorithm is developed in this study for rapid contrast enhancement of color images. …”
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1752
Adaptive Synchronverter Algorithm Using Q-Learning for Microgrid Stability Control
Published 2025-01-01“…The proposed Q-learning-based synchronverter control algorithm adjusts the inverter output dynamically, ensuring both frequency and voltage stability within the microgrid. …”
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1753
Crime Prediction Using Decision Tree (J48) Classification Algorithm.
Published 2018“…This study considered the development of crime prediction prototype model using decision tree (J48) algorithm because it has been considered as the most efficient machine learning algorithm for prediction of crime data as described in the related literature. …”
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1754
ANALYZING EEG SIGNALS FOR STRESS DETECTION USING RANDOM FOREST ALGORITHM
Published 2024-10-01“…As for the contribution of this research, a reliable method for stress identification has been suggested, using a random forest model to categorize stress levels from EEG signals. …”
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1755
Algorithm for Internal State Financial Control by the Treasury of Russia: Problems and Solutions
Published 2020-12-01“…The paper discusses an integrated research of implementing internal state financial control by the Federal Treasury. …”
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1756
Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms
Published 2025-05-01“…However, the sheer dimensionality of these data poses significant challenges to traditional Machine Learning (ML) methods. This research tackles the high-dimensional challenge of HSI classification with an advanced hybrid framework, leveraging the power of Deep Learning (DL), ML and Evolutionary Algorithms (EA) to conquer this challenge and achieve accurate HSI classification. …”
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1757
Shuffled Frog-Leaping Algorithm Metaheuristic for Extractive Single- Document Summarization
Published 2024-12-01“…This proposal is based on the shuffled frog-leaping metaheuristic algorithm (SFLA) and includes a global explicit tabu memory. …”
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1758
A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment
Published 2024-09-01“…The paper also explores future research directions, suggesting ways to advance the field by leveraging nature-inspired algorithms. …”
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1759
A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction
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1760
Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments
Published 2025-03-01“…The complexity of customer data makes manual analysis of the customer segments difficult, so applying machine learning to segment the customer can be the solution. This research implements K-Means and GMM algorithms for performing clustering based on the Transaction data transformed to the Recency, Frequency, and Monetary (RFM) data model, then implements Formal Concept Analysis (FCA) as an approach to analyzing the customer segment after the class labeling. …”
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