Hyperelastic behavior of cable gland silicon shroud: finite element analysis by Ganesh Bhoye, Ishant Jain

“…The hyperelastic material model developed in this study provides a robust tool for predicting the shroud’s behavior under varied loading conditions, enabling optimized designs and ensuring long-term performance.…”
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Optimization of Wear Behavior of DLC Coatings Through Optimization of Deposition Conditions by Ming-Der JEAN, Cheng-Wu LIU, Pao-Hua YANG, Wen-Hsien HO

“…Based on genetic algorithm (GA) and fuzzy neural network, a new method for the study of sputtering process is proposed in this paper. …”
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Dynamics of Robo-Advisory Financial Services in Saudi Arabia by Heba Gazzaz

“…The key limitations of adopting Robo-advisory services include algorithmic bias, a lack of trust and transparency, legal and regulatory issues, privacy and data security concerns, and limited financial literacy. …”
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Forecasting the Turkish lira Exchange Rates Through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones? by M. R. Sarkandiz, S. Ghayekhloo

“…Therefore, the uncertainty about the rates has pushed algorithmic traders toward finding the best forecasting model. …”
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Dynamic emotion intensity estimation from physiological signals facilitating interpretation via appraisal theory. by Isabel Barradas, Reinhard Tschiesner, Angelika Peer

“…The NARX model parameters obtained, interpreted by appraisal theory, indicate consistent heart rate parameters in the intersubject models, suggesting a large temporal contribution that aligns with the CPM-predicted changes.…”
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Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications by Majid Sohrabi, Milad Razbin

“…An advanced statistical approach is used to systematically collect and analyze data, followed by modeling these relationships using artificial neural networks (ANN) and analytical formulas to enhance predictive accuracy. A genetic algorithm (GA) is subsequently utilized to refine electrospinning parameters, facilitating the production of nanofibers with enhanced filtration efficiency and optimized airflow resistance. …”
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Proactive Traffic Information Control in Emergency Evacuation Network by Zhengfeng Huang

“…In the aspect of the solution algorithm, differential equilibrium decomposed optimization (D-EDO) is proposed to compare with other heuristic methods. …”
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High Dose Selection for General Toxicity Studies of New Medicines by G. N. Engalycheva, R. D. Subaev

“…It determines the informative value of study results, the compliance with the principles of ethical and rational use of experimental animals, and the accuracy of predicting the safety of new medicines for human use. …”
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Research on Highly Real-Time and High Precision Localization Method for Rail Transit by HUANG Wenyu, PAN Wenbo, LI Yuanzhengyu, CHEN Zhiwei, YANG Zhenyu, YUAN Chao

“…First, the results from inertial computation are directly used as predictive input values for the filter, to fully leverage the dynamic response characteristics of inertial sensors. …”
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Insight into Rotational Effects on a Horizontal Axis Wind Turbine NREL Phase ii Using CFD simulation and inverse BEM by Belamadi Riyadh

“…The comparisons show that CFD results along with the turbulence model can predict the span-wise loading of the wind turbine rotor with reasonable agreement. …”
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Analytical and numerical routes to strong coupling in N $$ \mathcal{N} $$ = 2 SCFTs by Pieter-Jan De Smet, Alessandro Pini, Paolo Vallarino

“…We also outline a numerical algorithm that serves as an independent check of the analytical results and provides predictions in cases where analytical techniques are currently not known.…”
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Neural network analysis of pharyngeal sounds can detect obstructive upper respiratory disease in brachycephalic dogs. by Andrew McDonald, Anurag Agarwal, Ben Williams, Nai-Chieh Liu, Jane Ladlow

“…The algorithm could enable widespread screening for BOAS to be conducted by both owners and veterinarians, improving treatment and breeding decisions.…”
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Analysis of non-exponential sound decay in an enclosure composed of two connected rectangular subrooms by Mirosław Meissner

“…In this investigation a combination of modal analysis with finite-difference algorithm was used to predict a decay in the sound field energy in an enclosure composed of two connected rectangular subrooms. …”
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AI-Supported Shared Decision-Making (AI-SDM): Conceptual Framework by Mohammed As'ad, Nawarh Faran, Hala Joharji

“…This integration is intended to transform raw algorithmic data into actionable insights that directly support the decision-making process without supplanting human judgment.…”
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The development of the generative adversarial supporting vector machine for molecular property generation by Qing Lu

“…Scientific contribution statement: A generative adversarial algorithm combing supporting vector machine is proposed for the first time to predict molecular properties from scratch, which agrees well with ab initio values. …”
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From phytochemicals to recipes: health indications and culinary uses of herbs and spices by Rishemjit Kaur, Shuchen Zhang, Bhavika Berwal, Sonalika Ray, Ritesh Kumar, Lav R. Varshney

“…Here, we use a network-based approach to elucidate established relationships and predict novel associations between the phytochemicals present in herbs and spices and health indications. …”
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RSCS6D: Keypoint Extraction-Based 6D Pose Estimation by Weiyu Liu, Nan Di

“…Finally, the extracted 3D keypoint cloud is fed into the 6D pose estimation network to predict both translation and rotation.…”
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Application of Data Mining Techniques on Tourist Expenses in Malaysia by Miao Cai, Tan Shi An

“…By apply data mining on tourism data for predicting the area of business opportunity is a good choice. …”
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Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…In the experiment, a scenario in which a human is working on a desk is simulated and an algorithm is trained on object-specific interactions. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…While VQ is a technique that reduces model size by grouping similar parameters, incremental clustering, implemented via the AutoCloud K-Fixed algorithm, preserves accuracy during compression. This combined approach was validated on an automotive dataset predicting CO2 emissions from vehicle sensor measurements such as mass air flow, intake pressure, temperature, and speed. …”
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