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1181
A Hybrid Method for SOC Estimation of Power Battery
Published 2021-01-01“…Simulation results show that the estimated SOC error of the proposed algorithm is less than 1.6% and the convergence time is within 70 s. …”
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1182
Effect of Hyperparameter Tuning on Performance on Classification model
Published 2025-06-01“…In the algorithm. SVM and decision tree algorithms, the performance results before hyperparameter tuning actually have a higher accuracy value. …”
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1183
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1184
基于Alpha Shapes三维重建原理的机器人工作空间求解方法
Published 2014-01-01“…The workspace is an important kinematics index of robot and workspace analysis of a surgical robot is a key link in structural optimization and surgery planning.First,the point cloud of workspace is generated by using the Monte Carlo method and the boundary extraction method of partitioning by angle is put forward to get the boundary points of the point cloud.On the basis of the boundary points,the Alpha Shapes algorithm is employed to reconstruct the workspace.Compared with conventional workspace surface solving method,this method has higher precision and better versatility,for it is convenient to adjust theαvalue according to different workspace types.Finally,the volume of the workspace is calculated with numerical integration method,a foundation for robot carrying out surgery is provided.…”
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1185
Assessment of Decongestion Status Before Discharge in Acute Decompensated Heart Failure: A Review of Clinical, Biochemical, and Imaging Tools and Their Impact on Management Decisio...
Published 2025-04-01“…This descriptive review synthesizes current evidence on congestion assessment methods in ADHF, focusing on their role in discharge decision-making and prognostic value. We describe various evaluation tools, including clinical examination, biomarkers, imaging techniques, and congestion scores, presenting their integration into a practical assessment algorithm. …”
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1186
Text classification model based on GNN and attention mechanism
Published 2025-05-01“…Secondly, the reasoning cache size of key-value was reduced by the introduction of multi-head latent attention mechanism that utilized the low-rank key-value joint compression technology, which significantly diminished memory usage and improved the performance of the model. …”
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1187
Rotor angle stability enhancement using DDPG reinforcement agent with Gorilla troops optimized input scaling factors
Published 2025-03-01“…Abstract This paper introduces a Reinforcement Learning (RL)-based Power System Stabilizer (PSS) with a Deep Deterministic Policy Gradient (DDPG) algorithm for rotor angle stability. The proposed stabilizer uses scaled values of the generator’s accelerating power, a derivative of accelerating power, integration of accelerating power, and generator real power as inputs. …”
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1188
Prediction of Chemical Gas Emissions Based on Ecological Environment
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1189
Evaluation of Students’ Educational Management Quality Based on Intuitionistic Fuzzy Information
Published 2022-01-01“…On the basis of teaching evaluation, with the help of intuitionistic fuzzy information integration algorithm method, this paper focuses on using intuitionistic fuzzy-weighted average operator and normal distribution weighting method to construct the quality evaluation model of students’ education and teaching management, and develops the teaching quality evaluation system based on intuitionistic fuzzy theory. …”
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1190
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1191
Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme
Published 2016-01-01“…The integration algorithm is used to calculate the surface area and volume of every defect. …”
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1192
Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology.
Published 2025-01-01“…To address the non-stationary nature of acoustic emission (AE) signals during crack initiation and propagation, this study combines the K-singular value decomposition (K-SVD) dictionary learning algorithm with convolutional neural networks (CNN) to enhance AE signal processing and fatigue crack detection. …”
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1193
Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification
Published 2024-01-01“…This integration selectively combines clusters based on a low-frequency criterion value, optimizing the clustering of the dataset. …”
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1194
Nondestructive freshness recognition of chicken breast meat based on deep learning
Published 2025-07-01“…In conclusion, the YOLOv8n_CA_DSC3 algorithm demonstrates good performance in feature extraction and integration of upper and lower layer information for chicken breast freshness, exhibiting high robustness and providing technical support for non-destructive recognition of chicken breast freshness and food safety.…”
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1195
Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller
Published 2024-12-01“…The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. …”
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1196
Group Stable Matching Problem in Freight Pooling Service of Vehicle–Cargo Matching Platform
Published 2025-06-01“…It demonstrates high innovation and practical application value.…”
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1197
Detecting Keratoconus in Adolescents with Anterior Segment Optical Coherence Tomography
Published 2024-01-01“…Assessing the applicability of an algorithm developed for keratoconus detection in adolescents. …”
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1198
A Framework for Synergy Measurement Between Transportation and Production–Living–Ecological Space Using Volume-to-Capacity Ratio, Accessibility, and Coordination
Published 2025-07-01“…This paper breaks through the traditional volume-to-capacity ratio analysis paradigm and innovatively integrates the “production-living-ecological space” theory. …”
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1199
A Review on Research and Application of AI-Based Image Analysis in the Field of Computer Vision
Published 2025-01-01“…This paper not only highlights the challenges and limitations, including dataset constraints, algorithm generalization, real-time computational costs, and privacy and ethical concerns, but also offers a forward-looking analysis of development trends such as interdisciplinary integration, weakly supervised and unsupervised learning, algorithm optimization and hardware advancements, and the protection of personal privacy and information. …”
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1200
Digital security risk identification and model construction of smart city based on deep learning
Published 2025-07-01“…The simulation experiment results show that DL-DSIM achieved 99.13% accuracy, 98.5% recall rate, 98.39% F value, 99.16% accuracy and 95.62% specificity in the training phase, and also achieved 96.1% accuracy, 95.48% recall rate, 96.38% F value, 95.89% accuracy and 93% specificity in the test phase. …”
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