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381
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis
Published 2020-11-01“…Our study reveals that the currency exchange rates with multi-layer neural networks having Bayesian learning predictive accuracy is better than multi-layer neural networks with back-propagation learning. …”
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382
Study on a Simulation Method for IGBT Bonded Wire Cracking Under Power Cycling Conditions Considering the Effect of Damage Evolution
Published 2024-01-01“…In this work, the shear strength of the Al-bonded wire-Al metallization layer bond interface of an insulated-gate bipolar transistor (IGBT) module after different numbers of power cycles was measured via shear tests, and force-displacement (F–<inline-formula> <tex-math notation="LaTeX">$\delta $ </tex-math></inline-formula>) curves and fracture surface morphologies were obtained. …”
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383
Predicting Minimum Temperatures of Plastic Greenhouse During Strawberry Growing in Changfeng, China: A Comparison of Machine Learning Algorithms and Multiple Linear Regression
Published 2025-03-01“…Accurate identification of potential factors affecting layer-by-layer minimum temperatures in plastic greenhouses and selection of optimal forecasting methods are important for safe strawberry production. …”
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384
Prediction of particulate matter PM2.5 level in the air of Islamabad, Pakistan by using machine learning and deep learning approaches
Published 2025-03-01“…Materials and methods: Two machine learning models (Decision Tree and Random Forest) and four deep learning models including Multi-Layer Neural Network (MLNN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU) are used in the study. …”
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385
Design of key technologies for intranet dynamic gateway based on DPDK
Published 2020-06-01“…Aiming at the problems of high packet processing delay and high overhead caused by IP hopping,active defense gateway system with multi-layer network deployment structure was designed and implemented based on the data plane development kit (DPDK).Firstly,based on the DPDK fast forwarding framework,forwarding and processing performance of the system were optimized.Secondly,for the dynamic random mapping gateway with three different types of IP addresses,an efficient IP address allocation algorithm and an unpredictable IP address conversion algorithm were designed.The experimental results show that the designed system can effectively reduce the rate of information acquisition of sniffing attack,while greatly improving the processing delay caused by dynamic hopping.…”
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386
Steganography and Cryptography Techniques Based Secure Data Transferring Through Public Network Channel
Published 2022-12-01“…The proposed encrypting technique is RC4 stream cipher algorithm in order to increase the message's confidentiality, as well as improving the least significant bit embedding algorithm (LSB) by adding an additional layer of security. The improvement of the LSB method comes by replacing the adopted sequential selection by a random selection manner of the frames and the pixels with two secret random keys. …”
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387
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388
Bright light therapy in Parkinson’s disease: a pilot study on visual pathway improvements
Published 2025-05-01“…Methods Twenty-three PD patients were enrolled in this crossover randomized placebo-controlled study. Participants received either one month of BLT or dim light therapy (DLT), separated by one-month wash-out period, followed by another intervention. …”
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389
Quantum PSO-Based Optimization of Secured IRS-Assisted Wireless-Powered IoT Networks
Published 2024-12-01“…In this paper, we explore intelligent reflecting surface (IRS)-assisted physical layer security (PLS) in a wireless-powered Internet of Things (IoT) network (WPIN) by combining an IRS, a friendly jammer, and energy harvesting (EH) to maximize sum secrecy throughput in the WPIN. …”
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390
Max–Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA
Published 2025-01-01“…Integrating visible light communication (VLC) with the reconfigurable intelligent surface (RIS) significantly enhances physical layer security by enabling precise directional signal control and dynamic adaptation to the communication environment. …”
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391
Ensuring Seismic Resistance of Reinforced Concrete Buildings
Published 2024-02-01“…However, these studies, as a rule, do not take into account the random nature of the seismic impact, which is a pronounced non-stationary random process. …”
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392
Neuroprotective Activity of Rasayana Formulation and Effect of Shigru Pallava Eye Drops on Intraocular Pressure as an Add-on Therapy Compared to the Standard of Care in Primary Ope...
Published 2025-04-01“…Methods This is an open-label, two-arm, parallel-group randomized controlled trial with a 2:3 (control: intervention) allocation ratio. …”
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393
Dysfunction of the temporalis muscle after pterional craniotomy for intracranial aneurysms: comparative, prospective and randomized study of one flap versus two flaps dieresis Disf...
Published 1998-06-01“…Patients with intracranial aneurysm(s) of the carotid artery territory, treated with pterional craniotomy, were prospectively and randomly addressed to one layer flap (n=36) or myocutaneous (MC) versus two layers' dieresis (n=32) or interfascial (IF). …”
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394
Effect of the Dynamic Load on Stresses in a Deck Pavement with an Interlayer Contact Model
Published 2018-01-01“…Results show that random surface roughness of deck pavement affected the stress trend of the asphalt concrete layer obviously. …”
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395
Chinese Sequence Labeling Based on Stack Pre-training Model
Published 2022-02-01“…In this paper, according to the relevance of tasks, we use stacking pretraining model to extract features, segment words, and name entity recognition/chunk tagging.Through in-depth research on the internal structure of BERT, while ensuring the accuracy of the original model, the Bidirectional Encoder Representation from Transformers (BERT) is optimized, which reduces the complexity and the time cost of the model in the training and prediction process.In the upper layer structure, compared with the traditional long-short-term memory network (LSTM), this paper uses a two-layer bidirectional LSTM structure, the bottom layer uses a bidirectional long-short-term memory network (Bi-LSTM) for word segmentation, and the top layer is used for sequence labeling tasks.On the New Semi-Conditional Random Field (NSCRF), the traditional semi-Markov Conditional Random Field (Semi-CRF) and Conditional Random Field (CRF) are combined while considering the segmentation.The labeling of words improves accuracy in training and decoding. …”
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396
Investigation of the Defect Effects on the Load-Carrying Capacity of Butt Joints: A Numerical Study
Published 2024-09-01“…Random defect distribution in the adhesive layer doesn’t affect joint durability.…”
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397
Sequentialized Virtual File System: A Virtual File System Enabling Address Sequentialization for Flash-Based Solid State Drives
Published 2024-11-01“…To do this, it first sequentializes a random access pattern in the VFS layer which is an abstract layer on top of a more concrete file system. …”
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398
Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model
Published 2025-08-01“…Second, the channel attention mechanism and spatial attention mechanism are integrated between the flatten layer and the dropout layer of the HybridSN model, which helps alleviate the interference of inconsistent classification results caused by random sampling in the dropout layer. …”
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399
Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines
Published 2022-04-01“…An ELM comprises a single-hidden-layer feedforward neural network in which the weights of connections among input-layer neurons and hidden-layer neurons are initialized randomly, while the weights of connections among hidden-layer neurons and output-layer neurons are computed using a generalized Moore– Penrose pseudoinverse operation. …”
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400
A Study on Dynamic Amplification Factor and Structure Parameter of Bridge Deck Pavement Based on Bridge Deck Pavement Roughness
Published 2018-01-01“…In view of self-weight of structure, the thickness of the cushion layer is recommended to be controlled for about 4 cm.…”
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