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681
Intrusion detection method for IoT in heterogeneous environment
Published 2024-04-01“…In order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel personalized pruning federated learning frame work for IoT intrusion detection was put forth. …”
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682
Real-Time Stringing Detection for Additive Manufacturing
Published 2025-02-01“…To address data scarcity in training machine learning models, we also release a new dataset and improve upon the results achieved by the Obico server model, one of the most prominent tools for stringing detection. Our contributions aim to enhance process reliability, reduce material wastage, and optimize time efficiency in AM workflows.…”
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683
Enhanced Multi-Class Detection of Fake News
Published 2024-05-01“…The result indicates notable limitations in ChatGPT's automated classification, which highlights the complexities of AI-based categorization. Our findings demonstrate the CNN model's efficiency and effectiveness, and show the intricacies of fake news detection. …”
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684
Single-port robotic retroperitoneoscopic nephroureterectomy: Technical approach and recommendations for patient selection
Published 2025-06-01“…We focus on patient selection, advantages of regionalized SP surgery, and technical tips for operative efficiency and safety. …”
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685
Steel Defect Detection Based on YOLO-SAFD
Published 2025-01-01“…Experimental results on the NEU-DET dataset demonstrate that YOLO-SAFD achieves a detection precision of 0.83, a recall of 0.75, and an mAP50:95 of 0.43, outperforming the baseline YOLOv5 and highlighting its superior detection accuracy and efficiency for real-time industrial applications.…”
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686
Dataset for Single Character Detection in Dongba Manuscripts
Published 2025-07-01“…Through automated Dongba script detection technology, experts can efficiently extract precise text data from many manuscripts, providing essential support for the subsequent translation of Dongba script and constructing a corpus. …”
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687
Pupil Detection Algorithm Based on ViM
Published 2025-06-01“…This algorithm introduces weighted feature fusion, aiming to enable the model to adaptively learn the contribution of different feature patches to the pupil detection results; combines ViM with the MSA (multi-head self-attention) mechanism), aiming to integrate global features and improve the accuracy and robustness of pupil detection; and uses FFT (Fast Fourier Transform) to convert the time-domain vector outer product in MSA into a frequency–domain dot product, in order to reduce the computational complexity of the model and improve the detection efficiency of the model. …”
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688
A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects
Published 2020-01-01“…Reinforcement learning algorithms present a major challenge in complex dynamics recently. In the perspective of variable selection, we often come across situations where too many variables are included in the full model at the initial stage of modeling. …”
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689
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690
Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection
Published 2025-06-01“…Two XAI techniques, LIME and SHAP, are then used to explain the best-performing ANN model and reduce its complexity by selecting the most significant features. …”
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691
Improved YOLOv10n model for enhanced cotton recognition in complex environments
Published 2025-12-01“…Currently, target detection models struggle with multi - category cotton recognition in complex farmland environments. …”
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692
A lightweight mechanism for vision-transformer-based object detection
Published 2025-05-01“…It struggles to extract fine-grained details of small and medium-sized objects from low-resolution features, and its computational complexity increases significantly with the input scale, thereby constraining real-time detection efficiency. …”
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693
Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications
Published 2025-01-01“…Future wireless systems with massive antennas must balance data rates and RF chain costs. Antenna selection activating only a subset of antennas addresses this challenge. …”
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694
Dynamic feature selection for silicon content prediction in blast furnace using BOSVRRFE
Published 2025-07-01“…Abstract Accurate prediction of silicon content in blast furnace ironmaking is essential for optimizing furnace temperature control and production efficiency. However, large-scale industrial datasets exhibit complexity, dynamism, and nonlinear relationships, posing challenges for feature selection. …”
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695
Using the model of closed-loop economy in certain branches of the agro-industrial complex
Published 2024-07-01“…The paper examines several aspects of using elements of closed-loop economy in certain branches of the agro-industrial complex, including the meat industry. A special attention in this work is given to the introduction of modern technologies and equipment for efficient processing of waste from crop husbandry, animal husbandry and meat production to include it into the economic turnover. …”
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696
The Partner Selection Modes for Knowledge-Based Innovation Networks: A Multiagent Simulation
Published 2019-01-01“…Proper partner selection can increase the efficiency of the entire innovation system. …”
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697
Applications of randomly selected sets of exact Voight's solutions for vibration of thin plates
Published 2022-12-01“… The principally new method of selected exact solutions, SES, for plate vibration based on fundamental solutions of Voigt is suggested. …”
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698
Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials
Published 2025-05-01“…We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. …”
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699
Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets
Published 2025-05-01Get full text
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700
An Improved PIN Diode Model Design for a Tunable Frequency Selective Absorber
Published 2025-01-01“…As a result, it also minimizes the electromagnetic interference that often arises from bias lines, thereby improving the overall system efficiency and reliability. The proposed model, therefore, reduces the complexity of the absorbing system while enhancing its performance and tunability. …”
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