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401
Continuous Patient-Independent Estimation of Respiratory Rate and Blood Pressure Using Robust Spectro-Temporal Features Derived From Photoplethysmogram Only
Published 2024-01-01“…For fewer computations and accurate measurements of BP, the most significant features are selected using correlation and mutual information measures in the feature engineering part. …”
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402
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403
Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems
Published 2025-01-01“…Our proposed methodology balances the trade-offs between prediction accuracy, model size, and computational efficiency by identifying an optimal set of relevant features and hyperparameters. …”
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404
ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU
Published 2025-01-01“…By employing optimizations such as small convolutional kernels and depthwise separable convolutions, the model significantly reduces the number of parameters and computational overhead, making it well-suited for resource-limited IoV environments. …”
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405
Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine
Published 2022-02-01“…The use of Lexicon Based Features affects the object of research which produces an accuracy value of 0.6, a precision value of 0.56, a recall value of 0.75, and a size of 0.64 with the optimal parameter in achieving convergence, namely (Lambda) = 0.7, the parameter value (gamma) = 0.0001, the parameter value (Complexity) = 0.0001, iterations = 50, and (Epsilon) = 0.00000001. …”
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406
Remote sensing image fusion based on real time image smoothing and image similarity
Published 2025-12-01Get full text
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407
A Method of Word Sense Disambiguation with Restricted Boltzmann Machine
Published 2019-10-01Get full text
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408
Updating parameters of an information model for road construction flow in work development project
Published 2023-01-01“…At the stage of the project for the production of works (PPW), it is necessary to take into account the technical and technological features of the contractor in the calendar plan. At the PPW level, it is necessary to create a new structure and define the parameters of this structure in such a way as to satisfy the specified restrictions established by the COP in terms of time and costs, and also provide for certain reserves for insuring possible risks. …”
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409
MFFCI–YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information
Published 2024-01-01“…First, we introduce the lightweight CSP bottleneck with attention module, which utilizes partial convolution calculation and SimAM attention mechanisms to decrease the number of parameters and computational complexity while enhancing feature extraction capabilities. …”
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410
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement
Published 2025-01-01“…The modules have been designed to optimise feature extraction and improve model efficiency. The paper also discusses the challenges associated with low accuracy in small target detection and high model complexity in UAV applications. …”
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UAV-DETR: An Enhanced RT-DETR Architecture for Efficient Small Object Detection in UAV Imagery
Published 2025-07-01“…The performance is thoroughly evaluated in terms of mAP@0.5, parameter count, and computational complexity (GFLOPs). …”
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416
FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection
Published 2025-01-01“…FTA-Net outperforms state-of-the-art methods on three challenging CD datasets, and it have fewer parameters (4.93M) and lower computational cost (6.71 G).…”
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417
Semantics-Assisted Training Graph Convolution Network for Skeleton-Based Action Recognition
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418
DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints
Published 2025-01-01“…This module enhances the feature interaction between the classification and regression tasks through the task alignment mechanism and shared convolution, which reduces model parameters and computation and improves model performance. …”
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419
Improved Road Extraction Models through Semi-Supervised Learning with ACCT
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420
CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation
Published 2025-05-01“…Specifically, we adapt pre-trained VFMs for VPR by incorporating a parameter-efficient adapter inspired by Xception, ensuring effective task adaptation while preserving computational efficiency. …”
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