Numerical study on the cyclic behavior of the stiffened steel plate shear walls containing sandwich panels with corrugated core by Shuna Zhang, Peng Zhang, Shaopeng Wang, Amir Ghiasvand

“…According to the average values that obtained, the horizontally and vertically oriented sandwich panels increase the plastic dissipation energy of the SSWs by around 156% and 196%, respectively. The outputs derived from this study will help to increase the SSWs’ strength in the built constructions by using sandwich panels inside them. …”
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Mechanical and Fractured surface characterization of epoxy/red mud/fly ash/ aluminium powder filled hybrid composites for automotive applications by K. C. Anil, A.B. Hemavathi, A. Adeebpasha

“…SEM analysis was carried out for fractured surfaces of composites, wherein minor voids, crack initiations and filler pullouts were seen indicating the necessity of coupling agent addition for still better performance. …”
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A Computer Vision-Based Framework for Snow Removal Operation Routing by Mohamed Karaa, Hakim Ghazzai, Yehia Massoud, Lokman Sboui

“…As a result, more efficient snow removal operation can be achieved by optimizing the trajectories of trucks based on the computer vision module outputs.…”
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A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities by Dejun Liu, Lifeng Xin, Xiaozhen Li, Jiaxin Zhang

“…In this paper, a probabilistic model devoted to investigating the dynamic behaviors of train-bridge systems subjected to random track irregularities is presented, in which a train-ballasted track-bridge coupled model with nonlinear wheel-rail contacts is introduced, and then a new approach for simulating a random field of track irregularities is developed; moreover, the probability density evolution method is used to describe the probability transmission from excitation inputs to response outputs; finally, extended analysis from three aspects, that is, stochastic analysis, reliability analysis, and correlation analysis, are conducted on the evaluation and application of the proposed model. …”
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Face and Voice Recognition-Based Emotion Analysis System (EAS) to Minimize Heterogeneity in the Metaverse by Surak Son, Yina Jeong

“…It comprises three neural networks: the Facial Emotion Analysis Model (FEAM), which classifies emotions using facial landmarks; the Voice Sentiment Analysis Model (VSAM), which detects vocal emotions even in noisy environments using MCycleGAN; and the Metaverse Emotion Recognition Model (MERM), which integrates FEAM and VSAM outputs to infer overall emotional states. EAS’s three primary modules—Facial Emotion Recognition, Voice Emotion Recognition, and User Emotion Analysis—analyze facial features and vocal tones to detect emotions, providing a holistic emotional assessment for realistic interactions in the metaverse. …”
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Cortical Visual Performance Test Setup for Parkinson’s Disease Based on Motion Blur Orientation by M. Erdem Isenkul

“…In a developed test, horizontal and vertical motion blur orientation was applied to natural image samples, and then neural outputs were produced by representing three (original-horizontal-vertical) image groups with the Layer 4 (L4) cortex model. …”
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Distance-Ranked Fault Identification of Reconfigurable Hardware Bitstreams via Functional Input by Naveed Imran, Ronald F. DeMara

“…The configurations which utilize permanently damaged resources and hence manifest discrepant outputs, receive lower rank are thus less preferred for instantiation on the FPGA. …”
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Exploring the innovation potential of urban space at the micro scale: a case study of Suzhou’s main urban area by Shumin Wang, Hao Liu, Yingcheng Li, Mingxing Hu

“…Coupling and coordination with innovation outputs were analyzed. The results revealed that (1) the innovation potential exhibits significant spatial clustering characteristics; (2) there is clear core-periphery spatial differentiation in the innovation potential, demonstrating decreasing spatial diffusion effects with distance from the center; and (3) only 8.18% of the plots in the study area occur at the harmonized innovation coupling stage, indicating that the overall innovation conversion efficiency should be improved. …”
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Development and mechanical characterization of eggshell bio-filler reinforced bamboo fiber composites by Afroz Khan, B. K. Naveen Kumar, K. J. Anand, E. Ashoka, G. Hareesha

“…The fractography studies revealed the improved fiber-matrix interaction with the inclusion of filler, reduced fiber pullouts, and failure by fiber breakage supporting the observed experimental results…”
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Links between Temperature Biases and Flow Anomalies in an Ensemble of CNRM-CM5.1 Global Climate Model Historical Simulations by O. Lhotka, A. Farda

“…The usage of three ensemble members with different initial conditions did not improve model’s outputs because the bias is found to be considerably larger compared to the ensemble members’ spread. …”
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A Bibliometric Analysis of Language Legislation Research From 2005 to 2023 by Chen Zhang, Ronghui Zhao, Yan Huang

“…By utilizing VOSViewer and CiteSpace, we have visualized and analyzed the scientific outputs, intellectual structure, and evolving research trends in this field. …”
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Research on mimic decision method based on deep learning by Xiaohan YANG, Guozhen CHENG, Wenyan LIU, Shuai ZHANG, Bing HAO

“…Due to software and hardware differentiation, the problem of false positives mistakenly identified as network attack behavior caused by inconsistent mimic decision results frequently occurs.Therefore, a mimic decision method based on deep learning was proposed.By constructing an unsupervised autoencoder-decoder deep learning model, the deep semantic features of diverse normal response data were explored from different executions and its statistical rules were analyzed and summarized.Additionally, the offline learning-online decision-making mechanism and the feedback optimization mechanism were designed to solve false positive problem, thereby accurately detecting network attacks and improving target system security resilience.Since statistical rules of normal response data was understood and mastered by deep learning model, the mimic decision results among different executions could remain consistent, indicating that the target system was in a secure state.However, once the target system was subjected to a network attacks, the response data outputted by the different executions was deviated from statistical distribution of deep learning model.Therefore, inconsistent mimic decision results were presented, indicating that the affected execution was under attack and the target system was exposed to potential security threats.The experiments show that the performance of the proposed method is significantly superior to the popular mimic decision methods, and the average prediction accuracy is improved by 14.89%, which is conducive to integrating the method into the mimic transformation of real application to enhance the system’s defensive capability.…”
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Impacts of Cooperative Adaptive Cruise Control Links on Driving Comfort under Vehicle-to-Vehicle Communication by Yongchun Li, Chuanping Shan

“…Then, simulations were performed using these car-following models, in which various CACC feedback link types, CACC penetration rates, and flow scenarios were taken into consideration. Simulations outputted microcosmic trajectory data of vehicles, based on which the driving comfort was evaluated using the comfort index described by the International Organization for Standardization (ISO) 2631-1. …”
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Increasing the Accuracy of Brain Stroke Classification using Random Forest Algorithm with Mutual Information Feature Selection by Fachruddin Fachruddin, Errissya Rasywir, Yovi Pratama

“…RF was chosen for its ensemble learning properties that optimize accuracy while simultaneously, bagging all outputs (DT), thus increasing its efficacy. Feature Selection, an important data analysis step, which is mainly achieved through pre-processing, aims to identify influential features and ignore less impactful features. …”
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AI language model rivals expert ethicist in perceived moral expertise by Danica Dillion, Debanjan Mondal, Niket Tandon, Kurt Gray

“…Participants perceived GPT models as surpassing both a representative sample of Americans and a renowned ethicist in delivering moral justifications and advice, suggesting that people may increasingly view LLM outputs as viable sources of moral expertise. This work suggests that people might see LLMs as valuable complements to human expertise in moral guidance and decision-making. …”
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IJSIE ABSTRACTS by Kananga Robert Mukuna

“…The International Journal of Studies in Inclusive Education (IJSIE) is a double-blinded, peer-reviewed, fully open-access journal providing an advanced platform and opportunities for inclusive education-related research outputs. The Editorial Board welcomes empirical, conceptual, academic, and theoretical articles critically analysed and interpreted in all its holistic approach to inclusive education: inclusive education, learning barriers, learners, or students with special needs, etc. …”
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Delayed Spiking Neural P Systems with Scheduled Rules by Qianqian Ren, Xiyu Liu

“…A schedule indicates the time difference between receiving and outputting spikes, and it also makes the system work in a certain time, which means that a rule can only be used within a specified time range. …”
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Design Method of Infrared Stealth Film Based on Deep Reinforcement Learning by Kunyuan Zhang, Delian Liu, Shuo Yang

“…Upon completion of the training, the agent outputs the optimized thickness parameters. The results demonstrate that the film structure, optimized by the agent, exhibits a low average emissivities of 0.086 and 0.147 in the 3∼5 µm and 8∼14 µm atmospheric windows, respectively, meeting the infrared stealth requirements in terms of radiation characteristics. …”
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The Crossed-Dipole Antenna with Torang-shaped Parasitic Elements and Circular Polarization for GPS Application by Amir Siahcheshm

“…The feeding network comprises a Branch-Line Coupler with two quadrature outputs. Accordingly, providing two orthogonal dipoles with a 90-degree phase difference leads to right-handed circular polarization (RHCP), a must for GPS applications. …”
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FIRM INNOVATIVENESS AND ENVIRONMENTAL DISCLOSURE: EVIDENCE FROM NIGERIAN MANUFACTURING FIRMS by Mubaraq Sanni, Lukman Adebayo Oke ABDULRAUF, Jamiu Alabere Abdulrasheed

“… The persistent increase in economic activities of companies, specifically manufacturing companies in Nigeria, has resulted in high levels of outputs, energy consumption, air pollution, and materials used. …”
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