并联式HEV机电耦合方案对比研究 by 赵克刚, 罗玉涛

“…For fulfilling actual requirements of developing Parallel hybrid electric vehicles （PHEVs）, mathematical model of powertrain is designed and the powertrain is simulated by computer in order to evaluate vehicle performance. …”
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Une réalisation de l'apprentissage partagé dans un environnement multimédia by Colette Mrowa-Hopkins

“…It is anticipated that computer-mediated interaction shares with a traditional face-to-face contact many of the same interactional features which are believed to make oral negotiation beneficial to learning. …”
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Localizing Adversarial Attacks To Produces More Imperceptible Noise by Pavan Reddy, Aditya Sanjay Gujral

“…This study systematically evaluates localized adversarial attacks across widely-used methods, including FGSM, PGD, and C&W, to quantify their effectiveness, imperceptibility, and computational efficiency. …”
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Crypto-coding technique based on polar code and secret key generated from wireless channel characteristics for wireless communication systems. by Dinh Van Linh, Vu Van Yem, Hoang Thi Phuong Thao

“…A simulation with different key lengths and code lengths is carried out in Additive white Gaussian noise (AWGN) that helps us to evaluate this technique by the error correction and security performance, computational complexity. …”
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The sky remembers everything: Celestial amplitude, shadow and OPE in quadratic EFT of gravity by Arpan Bhattacharyya, Saptaswa Ghosh, Sounak Pal

“…In this paper, we compute the celestial amplitude arising from higher curvature corrections to Einstein gravity, incorporating phase dressing. …”
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Exploiting chaotic dynamics as deep neural networks by Shuhong Liu, Nozomi Akashi, Qingyao Huang, Yasuo Kuniyoshi, Kohei Nakajima

“…These characteristics suggest a depth of expressivity that underscores their potential for advanced computational applications. However, strategies to effectively exploit chaotic dynamics for information processing have largely remained elusive. …”
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A Scalable Hybrid Autoencoder–Extreme Learning Machine Framework for Adaptive Intrusion Detection in High-Dimensional Networks by Anubhav Kumar, Rajamani Radhakrishnan, Mani Sumithra, Prabu Kaliyaperumal, Balamurugan Balusamy, Francesco Benedetto

“…Additionally, the framework exhibits strong adaptability to emerging threats and reduced computational overhead, making it a practical solution for real-time, scalable IDS in next-generation network infrastructures.…”
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Enhancing the Thermal Inspection of Buildings Using Texture Analysis by Setayesh Hesam, Reza Khoshkbary Rezayiye, Clemente Ibarra-Castanedo, Xavier Maldague

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A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance by Noushin Saba, Afia Zafar, Mohsin Suleman, Kainat Zafar, Shahneer Zafar, Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Iqbal, Syed Sajid Ullah

“…This hybrid approach significantly enhances diagnostic performance while reducing computational complexity. The model was evaluated using five diverse datasets: Colon Cancer Histopathological Images, Kvasir, Kvasir-SEG, Hyper-Kvasir, and Endotect. …”
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Multi-Frequency Entropy for Quantifying Complex Dynamics and Its Application on EEG Data by Yan Niu, Jie Xiang, Kai Gao, Jinglong Wu, Jie Sun, Bin Wang, Runan Ding, Mingliang Dou, Xin Wen, Xiaohong Cui, Mengni Zhou

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Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training by Yanming Fu, Weigeng Han, Jingsang Yang, Haodong Lu, Xin Yu

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Machine Learning Techniques for Identifying Textual Propaganda on Social Media: Development of a Detecting Digital Manipulation System by Belkacem Mostefai, Tarek Boutefara, Abid Chahinez, Marwa Aberkane

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FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting by He Zhu, Jun Bai, Na Li, Xiaoxiao Li, Dianbo Liu, David L. Buckeridge, Yue Li

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Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning by Abimbola Efunogbon, Enjie Liu, Renxie Qiu, Taiwo Efunogbon

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A Hybrid Approach to Call Admission Control in 5G Networks by Mohammed Al-Maitah, Olena O. Semenova, Andriy O. Semenov, Pavel I. Kulakov, Volodymyr Yu. Kucheruk

“…Performance of the proposed admission control is evaluated through computer simulation.…”
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Impact of data bias on machine learning for crystal compound synthesizability predictions by Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei

“…We use two data sets for illustration: a mixed-source data set that integrates experimental and computational crystal samples and a single-source data set consisting of data exclusively from one computational database. …”
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Bayesian inference and impact of parameter prior specification in flexible multilevel nonlinear models in the context of infectious disease modeling by Olaiya Mathilde Adéoti, Aliou Diop, Romain Glèlè Kakaï

“…A simulation study was conducted to evaluate the impact of modifying prior assumptions on posterior estimates and their subsequent effects on the interpretations. …”
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Low-Carbon Transport for Prefabricated Buildings: Optimizing Capacitated Truck–Trailer Routing Problem with Time Windows by Jiajie Zhou, Qiang Du, Qian Chen, Zhongnan Ye, Libiao Bai, Yi Li

“…The efficiency and robustness of the methodology are validated through two computational experiments. The results indicate that the DASA-TS consistently demonstrates excellent performance across all evaluations, with significant reductions in both transportation costs and carbon emissions costs for prefabricated components, particularly in large-scale computational instances. …”
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Modelling of a wave energy converter array with non‐linear power take‐off using a mixed time‐domain/frequency‐domain method by Y. Wei, A. Bechlenberg, B. Jayawardhana, A. I. Vakis

“…It is shown that the proposed model can significantly reduce the computational cost with an acceptable accuracy penalty.…”
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Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

“…The expectation–maximization algorithm is employed to compute the maximum likelihood estimates of the two unknown parameters of the Lomax distribution. …”
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