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Maximizing intrusion detection efficiency for IoT networks using extreme learning machine
Intrusion Detection Systems (IDSs) are crucial for safeguarding modern IoT communication networks against cyberattacks. IDSs must exhibit exceptional...
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A comprehensive dataset for dynamic analysis of ocean front
This paper proposes an ocean front database and a method for its construction tailored for studying the dynamic evolution of ocean fronts. Ocean...
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Beyond the surface: a sco** review of vision-based underwater experience technologies and user studies
Exploring the underwater world presents significant physical and financial barriers. Telepresence technologies offer a potential solution by a...
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Improved spectral dynamic features extracted from audio data for classification of marine vessels
Underwater sound classification presents a unique challenge due to the complex propagation characteristics of sound in water, including absorption,...
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A viscous effect of wave attractor in geometry with underwater peak
The influence of the viscosity on a wave attractor flow has been previously studied, particularly in relation to the widening of the hydrodynamical...
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Beyond texture: unveiling spiny crown-of-thorns starfish with multiresolution analysis
Coral reefs are essential ecosystems in the vast expanses of oceans, nurturing various forms of marine life within their vibrant and expansive...
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WTCRNet: a wavelet transform and contrastive regularization network for sonar denoising by self-supervision
In the field of underwater acoustics, forward-looking sonar represents a pivotal tool for acquiring subaqueous imagery. However, this technique is...
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Deep reinforcement learning for inverting earthquake focal mechanism and its potential application to marine earthquakes
Earthquake data are one of the key means by which to explore our planet. At a large scale, the layered structure of the Earth is revealed by the...
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SeaOrbiter, the first International Oceanic Station
SeaOrbiter’s vision is to become the first International Space Station of the ocean, a symbol of humanity's capacity to explore and understand the...
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Optimization of topology and energy management in fuel cell cruise ship hybrid power systems
Current research on energy management strategies (EMSs) often neglects the impact of system topology and local control. This study tackles this issue...
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A novel trusted hardware-based scalable security framework for IoT edge devices
The Internet of Things (IoT) devices are pervasively deployed and embedded into our daily lives. Over several years, the massive assimilation of IoT...
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Impact of physical and attention mechanisms on U-Net for SST forecasting
Sea surface temperature (SST) prediction is a subject of great significance to the marine environment and human society. Changes in SST not only...
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Remote sensing insights into ocean fronts: a literature review
By providing valuable data that allow scientists to study various oceanographic characteristics on a global scale, remote sensing techniques have...
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Underwater object detection and datasets: a survey
The rapidly growing exploitation and utilization of marine resources by humans has sparked considerable interest in underwater object detection...
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s2Cloud: a novel cloud-based precision health system for smart and secure IoT big data harnessing
This study aims to demonstrate a novel cloud big data system, s 2 Cloud, to enabled both smart and secure transmission and management of patient big...
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Validity of matched-field source localization in under-ice shallow water
Underwater source localization, such as matched-field processing (MFP), triangulation, and waveguide invariant, have been extensively investigated in...
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WaterPairs: a paired dataset for underwater image enhancement and underwater object detection
Due to its importance in marine engineering and aquatic robotics, underwater image enhancement works as a preprocessing step to improve the...
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Adaptive neural network anti-disturbance control of a cable-driven flexible-joint-based underwater vehicle manipulator system with dead-zone input nonlinearities via multiple neural observers
To achieve the requirements of lightweight, low energy consumption, and low inertia of an underwater vehicle manipulator system, a cable-driven...
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Multi-scale spatial features and temporal attention mechanisms: advancing the accuracy of ENSO prediction
The exponential progression in oceanic observational technology has fostered the accumulation of substantial time series data pivotal for predictions...
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Three-dimentional reconstruction of underwater side-scan sonar images based on shape-from-shading and monocular depth fusion
Modern marine research requires high-precision three-dimensional (3D) underwater data. Underwater environments experience severe visible light...