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Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis
Published 2025-08-01“…The proposed system integrates seamlessly with existing CNN+LSTM pipelines, where the offline phase constructs the GP subspace using historical or synthetic data, while the online phase iteratively updates the subspace with rank-1 modifications. Moreover, the method’s adaptability to non-stationary response surfaces, facilitated by a Matérn-5/2 kernel with automatic relevance determination, makes it particularly suitable for soil data exhibiting multi-scale features.ResultsEmpirical validation on soil spectral datasets demonstrates a 3–5× speedup in convergence compared to standard Bayesian optimization, with no loss in model accuracy. …”
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Atmosphere regulation: unraveling effective strategies for creating high-performance iron ore/biochar composite nanomaterials in ball milling processes
Published 2025-06-01“…Abstract Ball milling technology has become an important method for material modification due to its high efficiency, environmental protection and economy. …”
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Influence of the Level of the Middle River Negro in the Amazon, Brazil, on the Properties of the Blood of the Cururu Freshwater Stingray <i>Potamotrygon wallacei</i>
Published 2025-05-01“…Amazonian fishes, as an adaptive form to the annual flood cycle, develop physiological strategies to adjust to variations in their habitats. …”
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Alzheimer's disease drug development pipeline: 2019
Published 2019-01-01“…Amyloid is the most common specific target in phase 3 and phase 2 disease modification trials. Novel biomarkers (e.g., neurofilament light), new outcomes (e.g., AD Composite Score [ADCOMS]), enrollment of earlier populations, and innovative trial designs (e.g., Bayesian adaptive designs) are new features in recent clinical trials. …”
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Effect of three different preparation designs on the marginal adaptation of indirect overlay restoration fabricated from lithium disilicate ceramic material: An in-vitro comparativ...
Published 2023-05-01“…Conclusion: This study demonstrated that modification of tooth preparation plays a significant role in the marginal adaptation of the lithium disilicate overlays. …”
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Grasshopper Algorithmic Modelling: Parametric Design for Product Platform Customisation
Published 2025-06-01Get full text
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Zero Trust Strategies for Cyber-Physical Systems in 6G Networks
Published 2025-03-01Get full text
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Unsupervised Class Generation to Expand Semantic Segmentation Datasets
Published 2025-05-01“…Our approach aims to improve the performance of unsupervised domain adaptation methods by introducing novel samples into the training data without modifications to the underlying algorithms. …”
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Improved method for a pedestrian detection model based on YOLO
Published 2025-06-01“…The proposed method ultimately provides a computationally efficient and robust intelligent monitoring solution for agricultural mechanization, facilitating the transition from conventional agricultural practices toward sustainable, low-carbon production paradigms through algorithmic optimization.…”
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Low Complexity Optimized AOR Method for Massive MIMO Signal Detection
Published 2025-01-01“…These significant modifications amplify the efficiency of the OAOR method. …”
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Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application
Published 2024-11-01“…In a prospective clinical study of online ART, the target volume modification time (MTime) was 3–5 min for dRT and 2–4 min for pRT, and the main duration of CTV1 modification was approximately 2 min. …”
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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection
Published 2025-01-01“…This modification increases the model’s parameter count without adding to the computational cost in terms of floating-point operations. …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity
Published 2025-07-01“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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Multi-objective optimization to enhance surface integrity in WEDM for Al-matrix composite: A comparative assessment of self-weight adjusting MCDMs and objective weight integrated h...
Published 2025-01-01“…These techniques were assessed for the optimization of modification in surface chemistry (MSC), surface roughness (SR), and cutting velocity (CV) in WEDM of an in-situ stir-cast Al–Mg/20 Al3Fe composite employing the experimental results conducted based on RSM-CCD layout considering input variables of pulse-on time, servo voltage, peak current, and wire-feed rate. …”
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Advanced imaging-enabled understanding of cell wall remodeling mechanisms mediating plant drought stress tolerance
Published 2025-08-01“…Appropriate cell wall changes in mechanical properties and biochemical composition under stress conditions constitute an indispensable stress adaptation strategy. …”
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University proceedings. Volga region. Technical sciences
Published 2025-05-01“…As a result, a method for synthesizing and automatically adapting the architecture of a hierarchical MAS was developed, characterized by automatic modification of a set of agent connections during the operation of the MAS (as well as basic rules that determine the conditions for the emergence of connections), the ability to determine the optimal parameters of the MAS for a specific environment using a genetic algorithm, as well as the ability to model several types of MAS architectures. …”
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