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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection
Published 2025-01-01“…The proposed model combined with transformer-based long-term dependency modeling and convolution-based visual feature extraction to improve object detection performance. To optimize a model to a lightweight version, we integrated the proposed transformer model with the Ghost module. …”
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6142
Classifying detrital zircon U-Pb age distributions using automated machine learning
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6143
Instance-based generalization for human judgments about uncertainty.
Published 2018-06-01Get full text
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6144
Multi-omics characterization of diabetic nephropathy in the db/db mouse model of type 2 diabetes
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6145
SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment
Published 2025-03-01“…In particular, to ensure the utilities of both of the teachers and students, an algorithm that computes the optimal allocation plan for review resources is carefully designed based on Stackelberg equilibrium. …”
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6147
Detection of Emulation Attacks in Cognitive Radio Networks using Heuristic Techniques
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6148
Efficient colour filter array demosaicking with prior error reduction
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6150
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6153
Hybrid POF-VLC Systems: Recent Advances, Challenges, Opportunities, and Future Directions
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6156
Performance of a new stabilized structure-preserving finite element method for the Allen–Cahn equation
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6157
Evolving Camouflages: A User-Centric AI Approach for Game Aesthetics
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6158
Pencarian Jalur berdasarkan Kepadatan Lalu Lintas Menggunakan Algoritma Koloni Semut
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6159
Neuro-evolutionary models for imbalanced classification problems
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6160
Variance exchange process: overcoming the problem of singular information matrices in quadratic three−variable response designs
Published 2024-12-01“…The results show that a variance exchange process was possible, evaluating the variances of the predicted responses at the design points, thereby overcoming the problem of singular information matrices on the initial quadratic designs. The D-optimal designs, computer-generated optimal designs, provide ready alternatives for finding optimum conditions for factors in engineering optimization problems with response surface functions that require structured data collection using experimental design when the experimental design space is constrained owing to zero determinant of the information matrices of the initial designs. …”
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