Study of Rutile TiO2 band structures and optical properties using Density functional theory (DFT) by Rafea A. Munef, Abdulhadi M. Ghaleb, Ahmed Th. Shihatha

“…Calculations of the first principles were carried out using the super cell (1x1x1) process. The first computation of  concepts was studied by density functional theory (DFT) with a generalized gradient approximation from Perdew-Wang's 1991 (GGA-PW91), local density approximation (LDA) for exchange-correlation energy functional, and (LDA)+U method, implementation of coulomb interactions btween   of ( ) atom  and  of (  ) atom.All experimental values are agreed with our results. …”
Get full text

On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6 by Tedjini Mohsein, Sedira Lakhdar, Guerira Belhi, Kamel Meftah

“…The rescaling process has shown an appropriate time, whether achieved by the exponential or power functions. …”
Get full text

Gradient-Controlled Gaussian Kernel for Image Inpainting by Hossein Noori

“…Image inpainting is the process of filling in damaged or missing regions in an image by using information from known regions or known pixels of the image. …”
Get full text

Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation by Mohammad Javad Ebrahimi, Mahmoud Pasandidehfard, Ali Esmaeili, Mohammad Hossein Moghimi Esfandabadi

“…Ultimately, the newly designed airframe demonstrates a 14% improvement in aerodynamic efficiency compared to the default state, and the lift-to-drag ratio increases by 55%, successfully concluding the optimization process.…”
Get full text

Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Diabetes may be predicted and prevented by exploring critical diabetes characteristics by computational data extraction methods. This study proposed a system biology approach to the pathogenic process to identify essential biomarkers as drug targets. …”
Get full text

Research on an Adaptive Motion Planning Method for Multi-joint Hyper-redundant Robots by Luo Shuangbao, Zeng Fengfei, Zeng Xiaoshan, Qiang Hua, Wang Xiaoyang

“…By discrete target trajectory and segment fitting, the computational effort can be reduced, and the adaptive trajectory tracking control can be achieved. …”
Get full text

New Approach Single Valued Neutrosophic Sets for Teaching Quality Challenges Evaluation in College Public English Broad Impacts by Xiao Ma

“…This approach ensures that valuable information is not lost during the evaluation process. To improve decision-making in multi-criteria decision-making (MCDM) problems, this study introduces a new integrated framework that combines the EDAS method with the MEREC method for criteria weight computation under the SVNS environment. …”
Get full text

Enhancing Autonomous Vehicle Navigation by Detecting Lane and Objects based on LaneNet and CustomYOLOv5 by Jayamani SIDDAIYAN, Kumar PONNUSAMY

“…The appropriate pre-processing methods are carried out to reduce the computational complexity and speed up the process. …”
Get full text

Towards ML Models’ Recommendations by Lara Kallab, Elio Mansour, Richard Chbeir

“…Abstract Artificial Intelligence encompasses a range of technologies that replicate human-like cognitive abilities through computer systems, enabling the execution of tasks associated with intelligent beings. …”
Get full text

Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning by Yang GAO, Jun-li CHEN, Guang-li YANG

“…A rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal noise ratio (SNR).Actual received signal of uniform linear array was generated through constructing augment matrix as the processing signal used by DOA estimation.Then,estimation model was transformed from complex value to real value by using unitary transformation.In the next step,off-grid model and sparse Bayesian learning algorithm were combined together to process the realization of DOA estimation iteratively.The accuracy of estimation could made relatively high.The simulation result demonstrates that the RV-OGSBL method not only maintains the performance of traditional SBL algorithm,but also reduces the computational complexity significantly.Under the situation of lower signal noise ratio (SNR) and low number of snapshots,the running time of algorithm is reduced about 50%.This shows the RV-OGSBL method is a rapid DOA estimation algorithm.…”
Get full text

Research on 5G-TSN joint scheduling mechanism based on radio channel information by Lei SUN, Jianquan WANG, Shangjing LIN, Zhangchao MA, Wei LI, Liang Qilian, Rong HUANG

“…To solve the deterministic transmission problem of periodic and time-triggered industrial traffics in wireless environment， a joint optimization mechanism of 5G and time sensitive networking based on radio channel information was considered.Based on improved traffic process architecture in time sensitive network， the traffics bearing on radio channel with worse quality could be processed in priority.In 5G networks， the relationship among radio channel quality， resource numbers and the maximum transmission times over radio was modeled， and the maximum transmission times satisfied data transmission reliable probability could be computed from the model，then the transmission time budget in 5G system for multiple industrial traffics bearing on diverse radio resources could be adjusted dynamically by retransmission factors.Simulation results demonstrate that the proposed joint scheduling mechanism achieves less TSN transmission delay of industrial traffics bearing on worse quality radio resources and can eliminate jitter caused by retransmission due to variation of 5G radio channel， which can guarantee end-to-end deterministic delay for industrial traffics.…”
Get full text

Log-Aesthetic Curves for Shape Completion Problem by R. U. Gobithaasan, Yip Siew Wei, Kenjiro T. Miura

“…An object with complete boundary or silhouette is essential in various design and computer graphics feats. Due to various reasons, some parts of the object can be missing hence increasing the complexity in designing process. …”
Get full text

Piezoresistive behaviour of graphene nanoplatelet (GNP)/PMMA spray coated sensors on a polymer matrix composite beam by D. Sethy, S. Makireddi, F. V. Varghese, K. Balasubramaniam

“…Beams and the sensors were characterized by computed tomography (CT) and scanning electron microscopy (SEM) respectively. …”
Get full text

Recursive Identification for Dynamic Linear Systems from Noisy Input-Output Measurements by Dan Fan, Kueiming Lo

“…A recursive form of the first step calculation is constructed to improve the calculation efficiency and online computation ability. Another advantage of the proposed algorithm is its applicableness to different input processes situations. …”
Get full text

IVAG: An Integrative Visualization Application for Various Types of Genomic Data Based on R-Shiny and the Docker Platform by Tae-Rim Lee, Jin Mo Ahn, Gyuhee Kim, Sangsoo Kim

“…In addition, we have integrated a genome browser based on the JBrowse platform and an automated intermediate parsing process required for custom track construction, so that users can easily build and navigate their personal genome tracks with in-house datasets. …”
Get full text

Realtime Precise Orbit Determination Technology for LEO Mega-Constellation by Zhen LI, Chuang SHI

“…Supported by GNSS, it analyzed the advantages and disadvantages of solving LEO satellite orbit on the ground or onboard the satellites.The high-fidelity non-conservative force models were applied to the real-time orbit determination algorithm.To separate the kinematic and dynamic orbit determination process had been a great advantage for LEO satellites with much frequent orbital maneuvers.The test results showed that the accuracy of accelerations computed from the radiation pressure and atmospheric drag non-conservation force models were around 5 nm/s².Use the broadcast ephemeris, the real-time orbit determination algorithm could get an accuracy of 0.8 m in the satellites′ positions and 1.1 mm/s accuracy in the satellites′ velocity.When the real-time precise ephemeris of GNSS satellites were provided, the algorithm could get an accuracy of 8 cm in the LEO satellites′ position and 0.1 mm/s in the velocity.The method for real-time orbit determination and orbit prediction in this paper could be used to support the construction of navigation system with the mega-constellations.…”
Get full text

Priorities of a Regional University Educational Activities Modernization by T. A. Olkhovaya, S. V. Pankova

“…These projects implement project-oriented training, involve employers in educational process. As a result, students present their own business projects with financial support. …”
Get full text

Hydrofoil Installation and Performance Optimisation for Ship Resistance Reduction in Trimaran Through Particle Swarm Optimisation Method by Ghadimi Aliakbar, Ghadimi Parviz, Ghassemi Hassan

“…This study focuses on minimising the ship’s total resistance. An optimisation process is designed to determine the best position and angle of attack (AoA) for the hydrofoil at the design speed. …”
Get full text

Reinforcement Learning-Based Collision Avoidance Guidance Algorithm for Fixed-Wing UAVs by Yu Zhao, Jifeng Guo, Chengchao Bai, Hongxing Zheng

“…The cooperative guidance process is first analyzed for multiple aircraft by formulating flight scenarios using multiagent Markov game theory and solving it by machine learning algorithm. …”
Get full text

Insights from the 2024 pediatric rheumatology basic/translational years in review by Jessica L. Turnier, Scott W. Canna

“…Main body We drew from fundamental immunology, human genetics, animal models, and computational & “omic” manuscripts published in the year preceding these meetings. …”
Get full text