Optimum System Design Using Rough Interval Multi-Objective De Novo Programming by Iftikhar Hussein, Hegazy Zaher, Naglaa Ragaa Saeid, Hebaa Sayed Roshdy

Get full text

On the Construction of Self-Complementary Codes and their Application in the Problem of Information Hiding by Yury V. Kosolapov, Fedor S. Pevnev, Margarita V. Yagubyants

“…One of the classes of codes that find application in a number of the listed areas is the class of linear self-complementary codes over a binary field. …”
Get full text

Utilization of Open-Source OpenFOAM Code to Examine the Hydrodynamic Characteristics of a Linear Jet Propulsion System with or without Stator in Bollard Pull Condition by Parviz Ghadimi, Negin Donyavizadeh, Pouria Taghikhani

“…One of the new propulsion systems is linear jet which is similar to pump jet and has a rotor, a stator, and a duct. …”
Get full text

2D Computational Analysis of a Vacuum Glazing Installation in a Wood-Based Window Frame in the Context of the Linear Thermal Transmittance Ψg by Blažo Adam, Palko Milan

“…This study investigates the linear thermal transmittance coefficient Ψg of vacuum glazing when installed in a wooden window frame. …”
Get full text

Adaptive Real-Time Transmission in Large-Scale Satellite Networks Through Software-Defined-Networking-Based Domain Clustering and Random Linear Network Coding by Shangpeng Wang, Chenyuan Zhang, Yuchen Wu, Limin Liu, Jun Long

Get full text

Entropy driven optimization of non-linear radiative chemically reactive sutterby nanofluid flow in presence of gyrotactic micro-organism with Hall effect and activation energy by Muhammad Jameel, Zahir Shah, Muhammad Rooman, Mansoor H. Alshehri, Narcisa Vrinceanu, Elisabeta Antonescu

Get full text

AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…In order to improve the accuracy and real-time availability of fine-grained fish recognition, we introduce a Linear Correlation Attention (LCA) mechanism, which uses Pearson correlation coefficients to capture linear correlations between features. …”
Get full text

A Constant-Pressure Air Storage Operation Strategy for an Isothermal Compressed Air Energy Storage System Based on a Linear-Drive Liquid Piston by Yan Cui, Tong Jiang, Zhengda Chen

“…It demonstrates that under operational conditions of 1 MPa of low pressure and 5 MPa of storage pressure, the system achieves an efficiency of 74.0% when the low-pressure equipment and liquid piston exhibit efficiencies of 85% and 90%, respectively. …”
Get full text

Di-layers satellite electronic shielding system (DiLSES): fabrication and characterization by Emmanuel Ochoyo Adamu, Abubakar Sadq Aliyu, Abdulkarim Hamza, Muhammad Sani, Umar Sa'ad Aliyu, Mugusuur Scholastica Iorshase, Lubem James Utume, Wasiu Oyeyemi Salami, Isaac Pada, Emmanuel Ogwuche

Get full text

Prediction and optimization of Rhodamine B removal from water using metal-organic frameworks: RSM-CCD, ANN, non-linear kinetics, and isotherm studies by Simon Bbumba, John Ssekatawa, Ibrahim Karume, Emmanuel Tebandeke, Moses Kigozi, Solomon Yiga, Robert Setekera, Joseph Ssebuliba, Steven Sekitto, Ruth Mbabazi, Ivan Kiganda, Maximillian Kato, Patrick Taremwa, Moses Murungi, Chinaecherem Tochukwu Arum, Collins Yiiki Letibo, Geofrey Kaddu, Margret Namugwanya, John Kusasira, Peace Mwesigwa, Muhammad Ntale

“…ANN was also optimized using similar conditions and the resulting predictive removal efficiency of 97.18% was obtained. Non-linear isotherm studies strongly correlated with the Freundlich (R² = 0.9987) and Sips (R² = 0.9928) models, indicating multilayer and monolayer adsorption. …”
Get full text

Time Series Analysis of Solar Power Generation Based on Machine Learning for Efficient Monitoring by Umer Farooq, Muhammad Faheem Mushtaq, Zahid Ullah, Muhammad Talha Ejaz, Urooj Akram, Sheraz Aslam

“…The data are analyzed using ML models like gradient boosting classifiers and linear regressions. The first power plant produces the best results, with an amazing 0.97% accuracy utilizing the gradient boosting classifier and linear regression classifier. …”
Get full text

COST EFFICIENCY IN THE PRODUCTION OF CROP PRODUCTS AS A FACTOR OF FORMATION OF COMPETITIVENESS IN INTERNATIONAL MARKETS by Nataliia SHYIAN, Olena KOVALYOVA, Valentyna MOSKALENKO, Irina MURENETS, Sviatoslav KNIAZ

“…It was established that this rela was non-linear for wheat and sunflower, and linear for grain corn. …”
Get full text

Architecture for an efficient integration of wireless sensor networks to the Internet through Internet of Things gateways by Patrick Olivier Kamgueu, Emmanuel Nataf, Thomas Djotio

“…First, it focuses on choosing the most suitable ones for connecting wireless sensor networks to the Internet in a efficient and cost-effective manner, using integer linear programming to develop the mathematical model. …”
Get full text

Relationship Between Harvesting Efficiency and Filament Morphology in <i>Arthrospira platensis</i> Gomont by Ga-Hyeon Kim, Yeong Jun Lee, Jong-Hee Kwon

“…However, linear filaments also had poor auto-flotation efficiency (10% after 24 h) and decreased buoyancy, and this likely limits their survival in natural ecosystems. …”
Get full text

A Precise and Efficient Frequency Estimation Method for Single-Phase Grid With DC Offset by Ji Xiao, Jiaming Zhang, Shishun Tan, Youfeng Zhou

Get full text

How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith M. Burnfield

“…This study uses Artificial Neural Networks (ANNs) and multiple linear regression (MLR) models to explore the relationship between gait dynamics and the metabolic cost. …”
Get full text

Quantitative Assessment of Photoneutron-induced Secondary Radiation Dose in Prostate Treatment Using an 18 MV Medical Linear Accelerator: A Monte Carlo Study by Mustapha Assalmi, Abdullah Alshreef, EL Yamani Diaf, Assia Arectout, Nicholas Ade, El Hassan El Berhdadi

“…Purpose: This study aims to quantify the secondary radiation dose caused by photoneutrons during prostate cancer treatment using an 18 MV medical linear accelerator (LINAC) through Monte Carlo simulations and experimental validation. …”
Get full text

Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

“…Abstract With the development of quantum computing technology, efficiently implementing the core component S-box of block ciphers in quantum environments has become an important research direction in the field of cryptographic engineering. …”
Get full text

Can Correct and Incorrect Worked Examples Supersede Worked Examples and Problem-Solving on Learning Linear Equations? An Examination from Cognitive Load and Motivation Perspectives by Bing Hiong Ngu, Ouhao Chen, Huy P. Phan, Hasbee Usop, Philip Nuli Anding

“…From the perspective of cognitive load theory, we examined the relationship between instructional efficiency (correct and incorrect worked examples [CICWEs] vs. worked examples [WEs] vs. problem-solving [PS]), levels of expertise (low vs. high), and belief in achievement best (realistic vs. optimal) in learning linear equations across two experiments (<i>N</i> = 43 vs. …”
Get full text

The Hybrid Model: Prediction-Based Scheduling and Efficient Resource Management in a Serverless Environment by Louai Shiekhani, Hui Wang, Wen Shi, Jiahao Liu, Yuan Qiu, Chunhua Gu, Weichao Ding

Get full text