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161
Condition Monitoring in Marine Oil Separation Systems Using Wavelet Packet Transform and Genetic Technique
Published 2024-11-01“…Therefore, it is necessary to design a technique capable of analyzing the signals from sensors and estimating the remaining useful life in order to avoid breakage or unnecessary replacement. …”
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162
An efficient and lightweight banana detection and localization system based on deep CNNs for agricultural robots
Published 2024-12-01“…At the same time, the cross-stage local network (GSCSP) module was designed to reduce the computational complexity and the complexity of the network structure through a single-stage aggregation method. …”
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163
Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill
Published 2018-01-01“…First, to collect sufficient data, a data acquisition system based on wireless sensor network is constructed to replace the traditional wired system which may bring dangers during production. …”
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164
Editorial
Published 2025-05-01“…The most significant representation comes from Electrical, Computer, and Communications Engineering, where numerous works delve into AI, signal processing, secure communications, and sensor networks. From deep learning-based anomaly detection and vision transformer analysis for driver fatigue, to latency evaluations of LEO and GEO networks under tropical conditions, these studies reflect the growing importance of digital intelligence and communication resilience. …”
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165
Research on postural behavior and structural response prediction of scraper conveyor based on digital twin
Published 2025-06-01“…The predicted cluster center values are used to replace the values of all nodes within the cluster domain. …”
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166
Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis
Published 2025-06-01“…A dataset was created by capturing images of the cow's hindquarters using an image sensor at the entrance of the milking hall. This system enhances feature extraction ability by introducing dual path networks and convolutional block attention modules and improves efficiency by replacing some modules from the standard YOLOv5s with deep separable convolution to reduce parameters. …”
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167
Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution
Published 2025-01-01“…Objective Localization algorithms for underwater acoustic sensor networks typically depend on distance estimation methods, such as point-to-point distance estimation or angle estimation, to achieve node localization between nodes. …”
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168
Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems
Published 2025-07-01“…Supervised learning algorithms, including Support Vector Machines (SVMs) and Artificial Neural Networks (ANNs), are implemented and benchmarked against a simple threshold-based detection method. …”
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169
Building Collectives, Worlds, Interfaces: on the Prospects of Political Ecology through the Prism of Bruno Latour’s Book “Politics of Nature: How to Bring the Sciences into Democra...
Published 2025-05-01“…It eliminates the hierarchies of modernity, replacing them with hybrid networks, where democracy is impossible without taking into account the interests of all actants.…”
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170
Publish/Subscribe-Middleware-Based Intelligent Transportation Systems: Applications and Challenges
Published 2025-06-01“…In the infrastructure domain, publish/subscribe middleware enhances responsiveness and real-time processing in systems such as traffic surveillance, VANETs, and road sensor networks, especially when replacing legacy infrastructure is cost-prohibitive. …”
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171
Accurate recognition of UAVs on multi-scenario perception with YOLOv9-CAG
Published 2025-07-01“…The improvements primarily encompass three key aspects: The RepNSCPELAN4 module at the end of the trunk has been replaced with a CAM context feature enhancement module to bolster the capability of extracting features from small target UAVs; A GAM attention mechanism has been integrated into the head network to enhance the model’s focus on specific areas or features of UAVs; An enhanced AKConv dynamic convolution has been implemented at the end of the head, building upon the original RepNSCPELAN4 module to more effectively capture contour details. …”
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172
Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health
Published 2025-01-01“…Several ML algorithms are analyzed in the study for data from several sources like satellite imagery, drone based sensors, and field data, including Convolutional Neural Networks (CNNs), Random Forest and Support Vector Machines (SVMs). …”
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