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Prediction of middle box-based attacks in Internet of Healthcare Things using ranking subsets and convolutional neural network
Middle-box based attacks create serious functional defects in the devices such as firewalls, address translators, load balancers, server units, and...
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Predictive Modeling and Optimization of Engine Characteristics with Biogas–Biodiesel-Powered Dual-Fuel Mode: A Neural Network-Coupled Box–Behnken Design
The current study seeks to predict and optimize the performance and emission characteristics of a dual-fuel diesel engine powered by biogas and...
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Layout optimization of box girder with RBF-NNM-APSO algorithm
The layout optimization problem of complex box girder structure is solved with a new method RBF-NNM-APSO formed with the digital neural network model...
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MonVia Project, Development and Application of a New Sensor Box
A notable percentage of Italian bridges were built more than fifty years ago before the introduction of a seismic code. Although they do not meet the...
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A New S-box Generator Algorithm Based on 3D Chaotic Maps and Whale Optimization Algorithm
Encryption provides security in cases such as storing confidential information or transmitting it over a network. Today, block cipher algorithms are...
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Intelligent Optimization of Particle-Jamming-Based Variable Stiffness Module Design Using a Grey-box Model Based on Virtual Work Principle
Soft grippers are favored for handling delicate objects due to their compliance but often have lower load capacities compared to rigid ones. Variable...
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A method combining optimization algorithm and inverse-deformation design for improving the injection quality of box-shaped parts
Volume shrinkage and warpage deformation are very critical quality indicators in the plastic injection molding (PIM) of box-shaped thin-walled...
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Uncertainty propagation method for high-dimensional black-box problems via Bayesian deep neural network
A high-dimensional uncertainty propagation (UP) method is proposed in this paper, solving UP problems directly in the high-dimensional space....
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Strong s-box construction approach based on Josephus problem
There are two basic requirements for symmetric encryption algorithms. The first of these is diffusion. The second and most important is confusion. In...
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GAM-YOLOv8n: enhanced feature extraction and difficult example learning for site distribution box door status detection
The detection of distribution box doors on construction sites is particularly important in site safety management, but the size and posture of...
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A quantum “black box” for entropy calculation
A significant part of global quantum computing research has been conducted based on quantum mechanics, which can now be used with quantum computers....
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Detection of Rail Fastener Assembly Defects Using Axle-Box Acceleration
PurposeTrack roughness, irregularities and defects result in axle-box accelerations with a wide range of frequencies. In addition to track features,...
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Friction modelling and the use of a physics-informed neural network for estimating frictional torque characteristics
This paper presents an exploration of friction modeling encompassing theoretical and practical aspects, utilizing a planar or 2D contact system....
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A novel S-box design based on quantum tent maps and fractional stochastic models with an application in image encryption
In this article, we propose an approach to create a high-quality quantum tent map by utilizing the generalized quantum dot system. Our objective is...
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A new structural reliability analysis method under non-parameterized probability box variables
The probability box (P-box) model is an effective quantification tool that can deal with aleatory and epistemic uncertainties and can generally be...
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Smart complaint box based on IoT and cloud service to notify complaints
Every organization receives complaints from its employees or work force. It is important to deal with the complaints timely for employee...
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An intelligent box office predictor based on aspect-level sentiment analysis of movie review
Box office is a challenging and crucial task for the movie distributors in decision making. In recent years, movie reviews are widely posted and...
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New Approach to Ground Settlement Analysis During Box Jacking in Spatially Variable Soils
The three-dimensional random finite element method (3D RFEM) provides a robust tool for box jacking analysis considering spatial variability of soil...
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Two-dimensional hyperchaotic effect coupled map** lattice and its application in dynamic S-box generation
This paper presents a method for the construction of dynamic S-boxes using the Two-Dimensional Hyperchaotic Effect Coupled Map Lattice (2D-HECML)...
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Black Box Models for eXplainable Artificial Intelligence
Machine learning algorithms are becoming popular nowadays in cyber security applications like Intrusion Detection Systems (IDS). Most of these models...