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201
Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing
Published 2025-01-01“…Joint communication and sensing (JCS) is becoming an important trend in 6G, owing to its efficient utilization of spectrums and hardware resources. Utilizing echoes of the same signal can achieve the object location sensing function, in addition to the V2X communication function. …”
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202
LE-YOLO: A Lightweight and Enhanced Algorithm for Detecting Surface Defects on Particleboard
Published 2025-07-01Get full text
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203
Research on intrusion detection model based on improved MLP algorithm
Published 2025-02-01“…These patterns can be effectively captured through MLP’s multiple nonlinear transformations, such as ReLU and Sigmoid activation functions, which are especially beneficial for intrusion detection. …”
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204
Transformer-based ECG classification for early detection of cardiac arrhythmias
Published 2025-08-01“…Electrocardiogram (ECG) classification plays a critical role in early detection and trocardiogram (ECG) classification plays a critical role in early detection and monitoring cardiovascular diseases. …”
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205
Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System
Published 2024-12-01“…An algorithm for detecting infrasound signals by calculating the cross-correlation function between records of individual sensors in a array is described. …”
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206
Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals
Published 2025-07-01“…Simple-to-implement algorithms for detecting periodic pulse signals, evaluating their parameters, and direction finding of the source have been developed. …”
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207
Code vulnerability detection method based on graph neural network
Published 2021-06-01“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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208
Assessment of the Integrated Communicable Disease Surveillance and Response System in Thamar Governorate, Yemen
Published 2024-12-01“…The questionnaire included two sections: assessment of core activities of the IDSR system (structure, case confirmation, data reporting, data analysis, outbreak investigation, epidemic preparedness, epidemic responses, feedback) and assessment of support functions of the IDSR system (supervision, training, coordination, logistics and resources). …”
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209
Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection
Published 2025-02-01“…Conclusions This is the first study to characterize the transcriptomic profile of EVs secreted by PM primary cell cultures, demonstrating their potential as biomarker source for early detection. Further investigation of the functional role of PM-EVs will provide new insights into disease biology and therapeutic avenues.…”
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210
A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data
Published 2024-10-01Get full text
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211
RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions
Published 2025-08-01“…Existing commercial systems are costly and inflexible for customization, while current open-source tools are often lack of real-time functionality and suffer from steep learning curve. …”
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212
DWS-YOLO: A Lightweight Detector for Blood Cell Detection
Published 2024-12-01“…Improved attention, loss function, and suppression enhance detection accuracy, while lightweight C3 module reduces computation time. …”
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213
Are Your kidneys ok? Detect early to protect kidney health
Published 2025-07-01“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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214
Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection
Published 2025-01-01“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. …”
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215
Are Your Kidneys Ok? Detect Early to Protect Kidney Health
Published 2025-05-01“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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216
MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica
Published 2025-12-01“…In the McMurdo Dry Valleys (MDVs), three decades of high-resolution meteorological monitoring offer a rare opportunity to characterize climate baselines and detect anomalous conditions that may signal extreme events capable of triggering hydrological and ecological responses. …”
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217
Are your kidneys ok? Detect early to protect kidney health
Published 2025-12-01“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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218
Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images
Published 2025-01-01“…Thus, the proposed model effectively balances detection performance and lightweight design, making it well-suited for real-time applications on resource-constrained computing devices.…”
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219
A lightweight personnel detection method for underground coal mines
Published 2025-04-01“…Introduce SIoU instead of the original loss function to accelerate model convergence. Finally, the introduction of the Ghost module to optimize the backbone network can reduce the computational and parametric quantities of the model without losing the model performance, improve the detection speed, and make the model easier to be deployed on resource-constrained devices. …”
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220
Are Your Kidneys Ok? Detect Early to Protect Kidney Health
Published 2025-03-01“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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