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1201
An enhanced YOLOv8 model for accurate detection of solid floating waste
Published 2025-07-01“…This results in the development of an enhanced model that integrates feature enhancement, interference suppression, and localization optimization. …”
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1202
Weak fault diagnosis method for rolling bearings under strong background noise based on EEMD-FK-AMCKD
Published 2025-08-01“…Subsequently, particle swarm optimization (PSO) was utilized to adaptively determine the MCKD parameters, and the AMCKD algorithm was applied to enhance the features of the filtered signal. …”
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1203
Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning
Published 2021-02-01“…In the aspect of gesture interaction, the motion on the plane of gesture image is judged by the change of gesture center of gravity, and the displacement is detected to prevent the sudden change of gesture image position caused by the interference. In the front and back movement of gestures, the area of different gestures is compensated for and adjusted by the size of gesture images, so as to reduce the interference caused by the area changes caused by different gestures.…”
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1204
Research and application of micro-scale fracture prediction technology for deep coalbed methane based on five-dimensional seismic data
Published 2025-03-01“…Applying these micro-fracture prediction results guided the optimization and implementation of the horizontal well fracturing plan in the study area in later stages, leading to a significant reduction in the interference ratio from 14.58% in 2023 to 5.23%. …”
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1205
Developing and validating utility parameters to establish patient-reported outcome-based perioperative symptom management in patients with lung cancer: a multicentre, prospective,...
Published 2019-10-01“…We will determine the optimal time points for follow-up using the generalised linear mixed-effects models. …”
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1206
Spectral Information Divergence-Driven Diffusion Networks for Hyperspectral Target Detection
Published 2025-04-01“…Additionally, a SID-based Diffusion model is designed to optimize the loss of Diffusion, effectively reducing the interference of suspected target samples during the background learning process. …”
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1207
Deep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications
Published 2024-11-01“…This paper studies secure UAV communications and proposes a method to optimize the minimum secrecy rate of the system by using interference technology to enhance it. …”
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1208
Enhanced efficiency and security in cross-chain transmission of blockchain internet of ports through multi-feature-based joint learning
Published 2025-02-01“…The results highlight the method’s ability to balance dynamic network loads, minimize interference, and adapt to real-time conditions. This work bridges the gap between performance-oriented optimizations and privacy-preserving mechanisms, offering a scalable and secure solution for Blockchain IoT systems in complex and dynamic environments.…”
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1209
Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure
Published 2025-05-01“…By quantitatively injecting noise to mimic practical interference environments, we systematically analyze the degradation mechanisms of four CGH types: detour-phase, modified off-axis beam reference, kinoform, and interference type. …”
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1210
Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System
Published 2025-05-01“…The false alarm rate can be reduced by hardware optimization methods such as adding dust filter devices, adopting dual light source detectors, multi-parameter gas detectors and pyrolysis particle detectors; the rate can also be reduced by optimizing software algorithms (optimization modeling method, automatic adjustment of alarm thresholds, machine self-learning algorithm, etc.). …”
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1211
A Novel Low-Rank Embedded Latent Multi-View Subspace Clustering Approach
Published 2025-04-01“…In particular, we utilize low-rank constraints to construct a unified latent subspace representation and introduce an adaptive noise suppression mechanism that significantly enhances robustness against outliers and noise interference. Moreover, the Augmented Lagrangian Multiplier Alternating Direction Minimization (ALM-ADM) framework enables efficient optimization of the proposed method. …”
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1212
Fuzzy incidence coloring under structural operations for communication channel allocation
Published 2025-08-01“…By applying FICN, the minimum number of frequency signals required to avoid communication interference can be determined, thereby enabling optimized channel allocation, reduced interference, and improved communication management under constrained resources.…”
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1213
The Influence of Physical Tuning Technology on Voice Over LTE (VoLTE)
Published 2024-09-01“…In terms of delay, it has a score of 4, categorized as very good, jitter has a score of 3, categorized as good, and packet loss has a score of 4, categorized as very good. The optimization results using physical tuning show that the Reference Signal Received Power (RSRP) falls into the Good category with a percentage of 52.8%, Signal to Interference Noise Ratio (SINR) falls into the Good category with a percentage of 70%, and Throughput falls into the Very Good category with a percentage of 64.50%. …”
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1214
Off-grid hydroacoustic signal orientation estimation based on interpolation and subspace fitting in coprime arrays.
Published 2024-01-01“…It addresses the limitations of the hydrophone coprime array in utilizing all array elements' information and mitigates the interference of ocean noise in shallow waters, which impairs the accuracy and resolution of target direction estimation. …”
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1215
Equalizer Design: HBOA-DE-trained radial basis function neural networks
Published 2025-03-01“…Wireless communications are susceptible to various signal distortions during transmission, including inter-symbol interference, adjacent channel interference, and co-channel interference. …”
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1216
Preparation of graphene based composites using silane and Pyracantha fortuneana and their application in Metformin adsorption from aqueous solution
Published 2025-04-01“…Abstract Metformin, a typical pharmaceutical and personal care product (PPCPs), has a significant role in protecting brain cognitive function and delaying multiple organs aging, as well as causes seriously endocrine and reproductive interference to aquatic organisms due to drug abuse. …”
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1217
Simultaneous Determination of Chlorothalonil and 4-Hydroxy-Chlorothalonil in Sulfur-Rich Vegetables by UHPLC-MS/MS with a Synergistic Enzyme Inhibition Strategy
Published 2025-06-01“…This study developed a UHPLC-MS/MS method for simultaneous detection of chlorothalonil and 4-hydroxy-chlorothalonil, using an atmospheric pressure chemical ionization (APCI) source, optimizing the probe temperature to 600 °C and a set of optimal chromatography parameters. …”
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1218
Photoelectrocatalytic coupled chlorine degradation of tetracycline hydrochloride in recirculating aquaculture system (RAS)
Published 2025-07-01“…Key operational parameters were optimized, revealing that NaCl concentration (optimal at 30 mM) and acidic conditions (pH = 3, achieving 97.5 % degradation) significantly enhanced system performance, while humic acid (HA), sodium acetate (SA), and actual aquaculture water showed minimal interference. …”
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1219
SINS/OD integrated navigation system for shearer based on robust closed-loop path calibration
Published 2025-05-01“…First, velocity and position measurement error equations were established based on the shearer's motion constraint model, and a Kalman filter (KF) model was constructed to achieve optimal position estimation. Then, the MCCKF was adopted to replace the traditional KF, reducing the interference caused by erroneous predicted positions in the traditional closed-loop calibration method on straightness detection. …”
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1220
Hybrid Algorithm via Reciprocal-Argument Transformation for Efficient Gauss Hypergeometric Evaluation in Wireless Networks
Published 2025-07-01“…Consequently, our method significantly enhances the feasibility of tractable optimization in ultra-dense non-uniform cellular networks, bridging the computational gap in large-scale wireless performance modeling.…”
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