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The role of technical chart patterns in the early Bitcoin market: intraday evidence from the Mt.Gox transaction dataset
Published 2025-05-01“…Employing a pattern recognition algorithm, we identify hourly trading signals for five major chart patterns. …”
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15284
MATHEMATICAL MODELING OF EPILEPTOGENESIS PROCESS IN DIFFERENT AGE GROUPS Kalinin V. A.
Published 2016-12-01“…Materialy and methods. It conducts research on visual evoked potentials facing checkerboard pattern in patients with various forms of epilepsy in the young and the elderly. …”
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Integrating distributed photovoltaic and energy storage in 5G networks for sustainable IoT applications
Published 2025-02-01“…By utilizing IoT characteristics, we propose a dual-layer modeling algorithm that maximizes carbon efficiency and return on investment while ensuring service quality. …”
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STATISTICAL METHODS USAGE TO IMPROVE DIE WAFERS RADIATION MONITORING EFFICIENCY IN MASS PRODUCTION PROCESS
Published 2025-07-01Get full text
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EXPERIENCE OF CLINICAL DIAGNOSIS OF PERSISTENT POSTURAL-PERCEPTUAL VERTIGO AT AN OUTPATIENT APPOINTMENT
Published 2021-06-01“…The existing clinical algorithm for studies of the vestibular system, including oculomotor reactions, as well as standing and walking, can reliably establish the nature of the subjective phenomenon of dizziness. …”
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Design and optimization of high-contrast gratings for multispectral VCSEL-SOI laser sources
Published 2024-08-01Get full text
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A Big Data Approach for the Regional-Scale Spatial Pattern Analysis of Amazonian Palm Locations
Published 2025-02-01“…These findings are promising for prospective research aiming to integrate remote flora identification techniques with traditional data collection studies.…”
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Concrete Creep Prediction Based on Improved Machine Learning and Game Theory: Modeling and Analysis Methods
Published 2024-11-01“…Therefore, in this study, three machine learning (ML) models, a Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting Machine (XGBoost), are constructed, and the Hybrid Snake Optimization Algorithm (HSOA) is proposed, which can reduce the risk of the ML model falling into the local optimum while improving its prediction performance. …”
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Enhancing the e-commerce shopping experience with IoT-enabled smart carts in smart stores
Published 2025-04-01“…The findings demonstrate that the proposed IoT-enabled model efficiently balances classification tasks, reduces congestion during algorithm execution, and minimizes energy waste. This research highlights the significance of integrating IoT with cloud and fog computing frameworks to enhance the efficiency and customer experience in retail environments.…”
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Risk Limiting Based Resilient Operation Method for Power Grid
Published 2023-12-01Get full text
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Multitask Level-Based Learning Swarm Optimizer
Published 2024-11-01“…Evolutionary multitasking optimization (EMTO) is currently one of the hottest research topics that aims to utilize the correlation between tasks to optimize them simultaneously. …”
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Real‐Time Energy Management System for a Hybrid Renewable Microgrid System
Published 2024-12-01“…The battery state of charge (SOC) was maintained between the fixed values (20% and 100%) as stated by the algorithm.…”
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Laser SLAM Matching Localization Method for Subway Tunnel Point Clouds
Published 2025-06-01Get full text
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SOIL MOISTURE PREDICTION MODEL IN PEATLAND USING RANDOM FOREST REGRESSOR
Published 2024-10-01“…Soil moisture is one of the factors that has recently become the focus of research because it is strongly correlated with forest and land fires, where low soil moisture will increase drought and the incidence of forest and land fires. …”
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Feature Recognition of Human Motion Behavior Based on Depth Sequence Analysis
Published 2021-01-01“…The current research on still image recognition has been very successful, but the study of action recognition for video classes is still a challenging topic. …”
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A composite Feature Selection Method to improve Classifying Imbalanced Big Data
Published 2024-12-01“…Feature selection is one of the methods used to improve the performance of machine learning algorithms, especially when classifying the big data. the fined of new method was be more needed when dealing with the imbalanced big data. …”
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Deep Neural Network for Supervised Single-Channel Speech Enhancement
Published 2019-01-01Get full text
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