Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach by Waqar Khan, Muhammad Usama, Muhammad Shahbaz Khan, Oumaima Saidani, Hussam Al Hamadi, Noha Alnazzawi, Mohammed S. Alshehri, Jawad Ahmad

“…The model integrates a Transformer-based encoder, Convolutional Neural Networks (CNNs), and Variational Autoencoder-Long Short-Term Memory (VAE-LSTM) networks to enhance anomaly detection capabilities. …”
Get full text

Inverse Problem of Identifying a Time-Dependent Source Term in a Fractional Degenerate Semi-Linear Parabolic Equation by Maroua Nouar, Chattouh Abdeledjalil, Omar Mossa Alsalhi, Hamed Ould Sidi

“…The proof methodology is based on the Rothe method, where the variational formulation is discretized in time, and a priori estimates for discrete solutions are derived. …”
Get full text

Prognosis, treatment decision-making and value: A qualitative exploration of the emerging role of breast cancer prognostic assays. by Gillian Parker, Stuart Hogarth, Jennifer Fishman, Fiona A Miller

“…The objective of this study was to explore perspectives on the use and integration of breast cancer prognostic assays in clinical care.…”
Get full text

Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. by Hao Cao, Xiaoyan Du

“…This study proposes an advanced elevator fault precursor prediction method integrating Variational Mode Decomposition (VMD), Bidirectional Long Short-Term Memory (BILSTM), and an Autoencoder with an Attention Mechanism (AEAM), collectively referred to as the VMD-BILSTM-AEAM algorithm. …”
Get full text

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions by J. Quetzalcóatl Toledo-Marín, Sebastian Gonzalez, Hao Jia, Ian Lu, Deniz Sogutlu, Abhishek Abhishek, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko

“…To address this, we propose a conditioned quantum-assisted generative model, integrating a conditioned variational autoencoder (VAE) and a conditioned restricted Boltzmann machine (RBM). …”
Get full text

Enhancing english oral translation through cross-modal learning and synchronous optimization. by Yan Wang

“…However, the prevalent variations in pronunciation and the rapid pace of spoken language currently impede the efficacy of synchronous translation methods. …”
Get full text

Reinforcement learning-based assimilation of the WOFOST crop model by Haochong Chen, Xiangning Yuan, Jian Kang, Danni Yang, Tianyi Yang, Xiang Ao, Sien Li

“…Crop model assimilation is a crucial technique for improving the accuracy and precision of crop models by integrating observational data and crop models. Although conventional data assimilation methods such as Kalman filtering and variational methods have been widely applied, these methods often face limitations in data quality, model bias, and high computational complexity. …”
Get full text

Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…The nineteen criteria factors were modeled and analyzed through the integration of three parameter categories: hydro-geomorphic, landscape environment and topography, and socio-economic, using Multiple-criteria decision-making methods (MCDM). …”
Get full text

Infinitesimal optical singularity ruler for three-dimensional picometric metrology by Haixiang Ma, Yuquan Zhang, Jiakang Zhou, Fu Feng, Michael G. Somekh, Changjun Min, Xiaocong Yuan

Get full text

Perspectives on AI-Driven Nursing Science Among Nursing Professionals from China: A Qualitative Study by Yi Chen, Fulei Wu, Wen Zhang, Weijie Xing, Zheng Zhu, Qingmei Huang, Changrong Yuan

“…Participants were selected using maximum variation sampling, and data were analyzed using content analysis. …”
Get full text

Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

“…According to the established model, the Euler–Lagrange equation is derived by the variational method, the corresponding diffusion equation is established, and the model is analyzed and numerically solved in detail to obtain the restored image. …”
Get full text

Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. by Hang Zhao, Xiongfei Yin

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
Get full text

A Multi-Criteria Decision-Making Framework for Evaluating Emerging Digital Technologies in Supply Chain Optimization by Nabil M. AbdelAziz, Dina Mohamed, Hasnaa Soliman

“…A sensitivity analysis confirmed the robustness of these rankings against weight variations, while comparative validation using alternative MCDM methods (e.g., CODAS,COPRAS, EDAS, and SPOTIS) further supports the reliability of the findings. …”
Get full text

Effects of binocularity and eye dominance on visually-driven ocular tracking by Kimia Seyedmadani, Kimia Seyedmadani, Keith A. Tucker, Mark R. Anderson, Mark R. Anderson, Yasemin M. Akay, Metin Akay, Leland S. Stone

Get full text

Study on the Upper Limit of Roof Failure in Soft Rock Roadway by Jie Zhang, Shoushi Gao, Yifeng He, Tao Yang, Tong Li, Yihui Yan, Jianping Sun

“…Field investigations were conducted to assess the condition of roadway bolts, anchor cables, and the internal damage characteristics of the surrounding rock. The upper bound method of limit analysis in plastic mechanics was utilized to construct a failure model for the surrounding rock and derive the upper limit solution of roof failure by integrating the principle of virtual work and variational extremum theorem. …”
Get full text

Similarities in the Low-Energy Elastic and Ps Formation Differential Cross-Sections for e⁺-H and e⁺-He Scattering by Peter Van Reeth, John W. Humberston

“…In the present work, the elastic scattering differential cross-sections (EDCSs) for e⁺-H and e⁺-He below the first excitation threshold of the target were evaluated using the Kohn variational method and found to be very similar. In both cases, the EDCS below the positronium formation threshold, i.e., for pure elastic scattering, had minimum valley features in which significant minima close to 90 degrees were found at ≈2.8 eV for H and ≈2 eV for He. …”
Get full text

Quasiparticle Cooling Algorithms for Quantum Many-Body State Preparation by Jerome Lloyd, Alexios A. Michailidis, Xiao Mi, Vadim Smelyanskiy, Dmitry A. Abanin

“…This work establishes quasiparticle cooling algorithms as a practical, robust method for many-body state preparation on near-term quantum processors.…”
Get full text

A dual branch model for predicting microseismic magnitude time series named DTFNet by Hao Luo, Zhongyi Liu, Yishan Pan, Liang Wang, Chao Kong, Huan Zhang

“…Therefore, this paper proposes a microseismic time series prediction model, DTFNet, which integrates time series decomposition and deep learning. …”
Get full text

Spatial and Temporal Mapping of RF Exposure in an Urban Core Using Exposimeter and GIS by Montaña Rufo-Pérez, Alicia Antolín-Salazar, Jesús M. Paniagua-Sánchez, Antonio Jiménez-Barco, Francisco J. Rodríguez-Hernández

“…This integration facilitated both the detection of temporal variations and the spatial representation of these changes, enabling rapid identification and assessment of exposure hotspots.…”
Get full text

Combined x-ray diffraction, electrical resistivity, and ab initio study of (TMTTF)_{2}PF_{6} under pressure: Implications for the unified phase diagram by Miho Itoi, Kazuyoshi Yoshimi, Hanming Ma, Takahiro Misawa, Takao Tsumuraya, Dilip Bhoi, Tokutaro Komatsu, Hatsumi Mori, Yoshiya Uwatoko, Hitoshi Seo

“…(ii) The degree of dimerization in the intrachain transfer integrals, as the result of the decrease in structural dimerization together with the change in the intermolecular configuration, almost disappears above 4 GPa; the interchain transfer integrals also show characteristic variations under pressure. …”
Get full text