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261
Long Short-Term Memory as a Rainfall Forecasting Model for Bogor City in 2025-2026
Published 2025-03-01“…The best-performing model was achieved with 25 epochs and a batch size of 1, resulting in an average RMSE of 56.3340, MAE of 35.5223, and correlation of 0.3209. …”
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262
Rapid exometabolome footprinting combined with multivariate statistics: A powerful tool for bioprocess optimization
Published 2025-02-01“…Only a few studies have been published that provide information on bioprocess development, with media optimization and fed‐batch cultivation procedure being particularly promising areas. …”
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263
A Bayesian active learning platform for scalable combination drug screens
Published 2025-01-01“…Here we propose BATCHIE, an orthogonal approach that conducts experiments dynamically in batches. BATCHIE uses information theory and probabilistic modeling to design each batch to be maximally informative based on the results of previous experiments. …”
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264
Zoom Auxiliary Imaging Lens Design for a Modulation Transfer Function Test System
Published 2025-01-01“…The auxiliary imaging lenses of the current MTF test system typically use fixed-focus optical systems, which are unable to meet the test scenarios of fast and batch measurement and measure lenses with an extensive focal length range. …”
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265
A secure and efficient public auditing system of cloud storage based on BLS signature and automatic blocker protocol
Published 2022-07-01“…The proposed system also realizes batch auditing and data dynamic process. In addition, the proposed system enhances the level of security authentication through an Automatic Blocker Protocol (ABP) to protect the system from unauthorized TPA. …”
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266
Performance evaluation of photovoltaic scenario generation
Published 2025-03-01“…., cloud cover, seasonal variations) from individual or batch-generated samples. To address these limitations, this paper proposes an evaluation framework based on the wide-sense stationary process. …”
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267
Laor Initialization: A New Weight Initialization Method for the Backpropagation of Deep Learning
Published 2025-07-01“…It performed optimally with a batch size of 32 and a learning rate between 0.001 and 0.01. …”
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268
Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems
Published 2025-04-01“…Yet, current approaches train their models offline in a batch-based approach, even though storage systems are processing a stream of file requests with dynamic workloads. …”
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269
Accelerating Streaming Subgraph Matching via Vector Databases
Published 2025-01-01“…This is particularly important in real-time applications such as dynamic monitoring and network anomaly detection, where quick query responses are essential. …”
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270
Drive-by damage detection based on the use of CWT and sparse autoencoder applied to steel truss railway bridge
Published 2025-05-01“…Globally, promising damage detection performances were obtained when considering batches of 40 trains, even in presence of measurement noise and speed estimation inaccuracies.…”
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271
A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory
Published 2025-07-01“…A multi-task learning model based on DeBERTa is constructed to perform part-of-speech classification and meaning matching tasks on the target words respectively, and to introduce synonyms, antonyms and words with similar spellings for interference testing during the training process to simulate real memory scenarios. BWO is used to dynamically adjust the key hyperparameters of the DeBERTa model, such as the learning rate, batch size, and loss weight, to keep it in the optimal state at different learning stages. …”
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272
Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification
Published 2025-09-01“…To reduce model uncertainty, batch acquisition selects the most informative samples from an unlabelled data pool based on minimum redundancy and maximum predictive entropy. …”
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273
A MEMS Fiber-Optic Fabry-Perot Vibration Sensor for High-Temperature Applications
Published 2022-01-01Get full text
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274
Automation of flow cytometry data analysis with elastic image registration
Published 2025-05-01Get full text
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275
The Protection of RC Columns by Bio-Inspired Honeycomb Column Thin-Walled Structure (BHTS) Under Impact Load
Published 2024-12-01“…According to the prototype structure of the pier, a batch of scale models with a scaling factor of 1:10 was produced. …”
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276
Improvement of silage characteristics of Lactobacillus salivarius HMC4 and improvement of silage quality of king grass
Published 2024-12-01“…The fermentation quality and microbial composition of each batch of silage were evaluated. The results showed that the propionic acid concentration in group C was the lowest, but the organic acid content in feed was significantly increased. …”
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277
Recent Advances in Lead-Free All-Inorganic Perovskite CsCdCl<sub>3</sub> Crystals for Anti-Counterfeiting Applications
Published 2024-12-01“…This study reviews the advanced anti-counterfeiting applications of CsCdCl<sub>3</sub>, a lead-free all-inorganic perovskite crystal exhibiting dynamic luminescent properties responsive to temperature and UV light. …”
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278
Sea-detecting Radar Experiment and Target Feature Data Acquisition for Multisource Observation Dataset of Maritime Targets
Published 2025-06-01“…Moreover, an automated data management system was implemented to support data storage, conditional retrieval, and batch export, providing a solid foundation for the automated acquisition, long-term accumulation, and efficient use of maritime target characteristic data. …”
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279
Research on the Lossless Data Compression System of the Argo Buoy Based on BiLSTM-MHSA-MLP
Published 2024-12-01“…Experiments conducted on multiple 4000 m single-batch profile datasets from both the PC and Jetson nano platforms demonstrate that this method achieves a lower compression ratio, shorter compression time, and greater specificity. …”
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280
Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows
Published 2025-03-01“…By leveraging state‐of‐the‐art AD, objective functions such as soft dynamic time warping and Wasserstein distance, which are difficult to apply in traditional FWI are also easily integrated into ADFWI. …”
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