Comparative analysis and manufacturing of airfoil structures suitable for use at low speeds by Sinan Fidan, Satılmış Ürgün, Mert Gökdemir

“…With the selected wing profile, the geometry is shaped in two dimensions and designed in three dimensions. Computational fluid dynamics (CFD) was adopted as the method for studying wing profiles. …”
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The proclivity of free-ranging indigenous village chickens for night-time roosting in trees by Takele Taye Desta

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A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm by Nor Azlina Ab Aziz, Marizan Mubin, Mohd Saberi Mohamad, Kamarulzaman Ab Aziz

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Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction by Wei Nie, Shuxian Liu, Hang Yin, Shasha Lu, Dongxu Zhao, Hong Xu

“…With the advent of globalization, computing speed has increased tremendously, greatly advancing algorithm research in multiple fields. …”
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Quantum-limited stochastic optical neural networks operating at a few quanta per activation by Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

“…Abstract Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. …”
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Prescribed-time trajectory tracking control for a class of nonlinear system by Lichao Feng, Chunlei Zhang, Mahmoud Abdel-Aty, Jinde Cao, Fawaz E. Alsaadi

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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. Each of these methods has its own strengths and weaknesses, and the hybridization theory was introduced to solve these problems. …”
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Optimizing Deep Learning Acceleration on FPGA for Real-Time and Resource-Efficient Image Classification by Ahmad Mouri Zadeh Khaki, Ahyoung Choi

“…Deep learning (DL) has revolutionized image classification, yet deploying convolutional neural networks (CNNs) on edge devices for real-time applications remains a significant challenge due to constraints in computation, memory, and power efficiency. This work presents an optimized implementation of VGG16 and VGG19, two widely used CNN architectures, for classifying the CIFAR-10 dataset using transfer learning on field-programmable gate arrays (FPGAs). …”
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Cilium height difference between strokes is more effective in driving fluid transport in mucociliary clearance: A numerical study by Ling Xu, Yi Jiang

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The Development of Microhistorical Databases in Norway. A Historiography by Gunnar Thorvaldsen, Lars Holden

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Intuitionistic Hesitant Fuzzy Rough Aggregation Operator-Based EDAS Method and Its Application to Multi-Criteria Decision-Making Problems by Muhammad Kamraz Khan, Muhammad Sajjad Ali Khan, Kamran, Ioan-Lucian Popa

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Prediction method of 0day attack path based on cyber defense knowledge graph by Cheng SUN, Hao HU, Yingjie YANG, Hongqi ZHANG

“…To solve the difficulty of attack detection caused by the 0day vulnerability, a prediction method of 0day attack path based on cyber defense knowledge graph was proposed.The cyber defense knowledge graph was constructed to refine the discrete security data such as threat, vulnerability and asset into the complete and high-related knowledge format by extracting concepts and entities related to network attack from cyber security ontology research finds and databases.Based on the knowledge integrated by the knowledge graph, assumed and restricted the unknown attributes such as the existence, availability and harmfulness of 0day vulnerabilities, and model the concept of ＆quot;attack＆quot; as a relationship between attacker entities and device entities in the knowledge graph to transform the attack prediction to the link prediction of knowledge graph.According to this, apply path ranking algorithm was applied to mine the potential 0day attack in the target system and construct the 0day attack graph.Predicted the 0day attack path by utilizing the scores output by classifiers as the occurrence probabilities of single step attack and computing the occurrence probabilities of different attack paths.The experimental result shows that with the help of complete knowledge system provided by knowledge graph, the proposed method can reduce the dependence of prediction analysis on expert model and overcome the bad influence of 0day vulnerability to improve the accuracy of 0day attack prediction.And utilizing the characteristic that path ranking algorithm reasons based on the structure of graph can also help to backtrack the reasons of predicting results so as to improve the explainability of predicting.…”
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The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

“…Power-to-power coupling (PPC) is one form of coupling with significant research attesting to its neurobiological significance as well as its computational efficiency, yet has been hitherto unexplored within seizure classification literature. …”
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Group-Based Authentication Methods in The OneM2M Ecosystem by Erhan Taşkın, İbrahim Uğur Aba

“…By using the group management module provided by the IoT service platform and the “auth” mechanism's together, it has been observed that the computational overhead on the devices and the signal traffic in the environment provide up to 4 times efficiency according to performance measurements. …”
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Peptidomic analysis of whey protein hydrolysates and prediction of their antioxidant peptides by Jesus Morales García, Chibuike C. Udenigwe, Jorge Duitama, Andrés Fernando González Barrios

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Extensions of Riordan Arrays and Their Applications by Paul Barry

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Causality-driven candidate identification for reliable DNA methylation biomarker discovery by Xinlu Tang, Rui Guo, Zhanfeng Mo, Wenli Fu, Xiaohua Qian

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Multiresolution Models of DC Traction Power Supply Systems With Reversible Substations by Fulin Fan, Yafang Li, Smail Ziani, Brian G. Stewart

“…Furthermore, it can model the transient effects of pantograph-to-line arcing by inserting arc voltage profiles at the train’s input stage. To increase the computation speed in the long-term energy flow simulation, a low-resolution model simplifies the rectifiers into a series connection of a diode and a controlled voltage source depicting their nonlinear output characteristics and then places a DC voltage source in parallel to form a reverse path for braking power recovery. …”
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Numerical Simulations on the Front Motion of Water Permeation into Anisotropic Porous Media by Xiangxiang Zhang, J. G. Wang, Xiaolin Wang, Feng Gao

“…Many algorithms have been developed to calculate this water front motion, but few numerical algorithms have been available to calculate the water front motion in anisotropic fluid-solid couplings with high computational efficiency. In this study, a numerical model is proposed to investigate the front motion of water permeation into an anisotropic porous medium. …”
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Long-Term Rainfall Information Forecast by Utilizing Constrained Amount of Observation through Artificial Neural Network Approach by Muhammed E. Akiner

“…This research further focuses on ANN computational concepts and develops a neural network for rainfall time series forecasting. …”
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