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681
Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance
Published 2024-11-01Get full text
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682
AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting
Published 2025-01-01Get full text
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683
Observations of Optical Properties and Chlorophyll-a Concentration in Qiandao Lake Using Shipborne Lidar
Published 2024-12-01“…However, these models cannot be directly applied to inland waters due to their complex composition, and research on the biological parameters and optical properties of inland waters remains limited. …”
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684
Optimization design of cross border intelligent marketing management model based on multi layer perceptron-grey wolf optimization convolutional neural network
Published 2025-02-01“…This model extracts implicit high-order information through nonlinear methods and can handle complex and sparse marketing data. Firstly, a dual path deep network structure was designed, in which one path was modeled using a multi-layer perceptron (MLP) to extract user interest features based on historical interaction ratings; Another path utilizes Convolutional Neural Networks (CNN) to extract semantic features from user label information and construct item feature representations. …”
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685
In situ implantation of type II collagen-based double-layer scaffolds for Articular Osteochondral Regeneration comprising hyaline cartilage and vascularized subchondral bones
Published 2025-08-01“…We developed a type II collagen-based double-layer scaffold (Col II & Dopa-Col II) with type II collagen on the upper layer and polydopamine-coated type II collagen on the lower layer. …”
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686
Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI
Published 2025-03-01“…Traditional FNC analyses often rely on linear models, which may overlook complex nonlinear interactions. We propose a multi-layered neural network that generates nonlinear heatmaps from FNC matrices, which we visualize at multiple layers, enabling us to better characterize multi-level interactions and improve interpretability. …”
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687
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688
STOIIP validation for a heterogeneous multi-layered reservoir of a mature field using an integrated 3D geo-cellular dynamic model
Published 2018-12-01“…The intersecting lobes of bars and channels of Nezzazat group, one of the most complex reservoirs in the Gulf of Suez, concealing underneath a thick salt succession are very difficult to interpret and therefore impose a profound integrated geological and petrophysical study. …”
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Photo-Scanning Capacitance Microscopy and Spectroscopy Study of Epitaxial GaAsN Layers and GaAsN P-I-N Solar Cell Structures
Published 2025-07-01“…This work presents a novel approach to investigating epitaxial GaAsN layers and GaAsN-based p-i-n solar cell structures using light-assisted scanning capacitance microscopy (SCM) and spectroscopy. …”
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691
On the enhancement of acceptable blockage of open jet wind tunnel by employing modifications based on concepts of boundary layer and jet flow for testing of aero-rotors
Published 2024-12-01“…Hitherto, numerical models are developed to rectify the blockage troubles that introduce an additional complex case-based mathematical modeling to reckoning the results. …”
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692
Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips
Published 2025-05-01“…In the current paper, an analysis of magnetohydrodynamic Williamson nanofluid boundary layer flow is presented, with multiple slips in a porous medium, using a newly designed human-brain-inspired Ricker wavelet neural network solver. …”
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693
Two-Layer Intelligent Learning Control Using Output Recurrent Fuzzy Neural Long Short-Term Memory Broad Learning System With RMSprop
Published 2025-01-01“…The first layer focuses on real-time system identification, leveraging ORFNLSTM-BLS to learn complex nonlinear system dynamics and effectively capture long-term dependencies in sequential data. …”
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694
Load transfer behaviour of super long piles in multi-layer soft soil through field testing and numerical 3D FEM modelling
Published 2025-06-01“…The load transfer mechanism of pile foundation has received considerable attention over the years, the simultaneous responses that skin friction and base resistances of super-long piles (length L > 60 m) can have in complex soft soil, however, still need greater understanding. …”
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695
Experimental studies of load-bearing capacity and failure behavior of LNG cargo containment systems with multiple layers of insulation under heavy footprint loads
Published 2025-07-01“…However, due to the multiple layers of various materials and complex junctions of adhesives, there is no direct or obvious indicator to assess the integrity of CCS under footprint loads. …”
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696
Petrology and petrogenesis of a tuff layer in the Upper Red Formation, north of Tabriz (NW Iran): shoshonitic magmatism with high Ba and Sr affinity
Published 2024-12-01“…Introduction The studied volcanic rocks as a dacitic tuff layer intercalated with the Upper Red Formation (URF, Late Miocene) and are located in the vicinity of the North Tabriz fault. …”
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697
YOLO-SDLUWD: YOLOv7-based small target detection network for infrared images in complex backgrounds
Published 2025-04-01“…This study introduces a detector called “YOLO-SDLUWD” which is based on the YOLOv7 network, for small target detection in complex infrared backgrounds. The “SDLUWD” refers to the combination of the Spatial Depth layer followed Convolutional layer structure (SD-Conv) and a Linear Up-sampling fusion Path Aggregation Feature Pyramid Network (LU-PAFPN) and a training strategy based on the normalized Gaussian Wasserstein Distance loss (WD-loss) function. …”
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Computational investigation of heat transfer and fluid flow in a NEPCM-filled cavity with sinusoidal porous layer: Influence of magnetic field and exothermic reactions
Published 2025-05-01“…A corrugated porous layer with a thickness of 0.2L adheres to the left wall. …”
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700
A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models
Published 2025-07-01“…The experimental results demonstrated that the proposed IMGO algorithm is very effective in addressing complex problems with high accuracy, capability, and speedy convergence. …”
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