Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure by Hanzlah Akhlaq, Tianbo Peng, Kawsu Jitteh, Muhammad Salman Khan

“…Furthermore, a comparison of different surrogate models was conducted for global feature interpretation, while SHAP analysis was used for local interpretation to identify the influence of input parameters on individual structural responses. …”
Get full text

Development of the structure of a computerized information and measurement system based on the analysis of the problems of using an asynchronous electric drive in pumping equipment by Yu.O. Podchashynskyi, Ya.V. Mahaletskyi

“…The article analyzes the features of using an asynchronous electric drive in pumping equipment. …”
Get full text

An efficient method for early Alzheimer’s disease detection based on MRI images using deep convolutional neural networks by Samia Dardouri

Get full text

Experimental assessment and data-driven hybrid machine learning quantification with parametric optimization of compressive strength of ceramic waste concrete by Mihir Mishra, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, M Jameel, Turki S. Alahmari, Naim Ahmad, Md. Munir Hayet Khan

Get full text

A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

Get full text

The First-Principles Investigation of Structural Stability, Mechanical, Vibrational, Thermodynamic, and Optical Properties of CaHfS3 for Optoelectronic Application by Mulugetta Kassa, Nebiyu Debelo, Menberu Woldemariam

“…In this study, the structural, electronic, elastic, phonon vibration, thermodynamic features, and optical properties of the orthorhombic phase of (space group Pnma) CaHfS3 were examined by first-principles calculations utilizing the plane wave ultrasoft pseudopotentials in generalized gradient approximations (GGAs) and with Hubbard on-site correction (DFT + U). …”
Get full text

Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

“…However, their advanced capabilities come with challenges, including those arising from their stochastic nature, such as parameter tuning and high computational expense. To improve transparency and reproducibility, open-source code sharing, and standardised reporting are recommended to enhance ABM reliability in studying epidemiologically complex diseases like TB.…”
Get full text

HUMAn, a Real-Time Evolutive Patient Model for Major Incident Simulation: Development and Validation Study by Maxence Laurent, Arnaud Jaccard, Laurent Suppan, Elio Erriquez, Xavier Good, Eric Golay, Dominique Jaccard, Mélanie Suppan

“…During the relevance phase, the team defined the needed features of the model: clinically realistic, able to compute the evolution of prehospital vital signs, yet simple enough to allow real-time computation for several simulated patients on regular computers or tablets. …”
Get full text

MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation by Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu

“…Knowledge Distillation (KD), which focuses on transferring semantic knowledge from a parameter-heavy teacher network to a more compact student network, has been widely and successfully used across plenty of computer vision tasks like image/video recognition and segmentation. …”
Get full text

AI-driven hybrid rehabilitation: synergizing robotics and electrical stimulation for upper-limb recovery after stroke by Ismail Ben Abdallah, Ismail Ben Abdallah, Yassine Bouteraa, Yassine Bouteraa, Ahmed Alotaibi, Ahmed Alotaibi

Get full text

Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks by Hasan A. A. Al-Rawi, Kok-Lim Alvin Yau, Hafizal Mohamad, Nordin Ramli, Wahidah Hashim

Get full text

Property Graph Framework for Geographical Routes in Sports Training by Alen Rajšp, Iztok Fister

Get full text

A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications by Sana Ullah, Manar Mohaisen, Mohammed A. Alnuem

Get full text

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

Get full text

Bayesian solution to the inverse problem and its relation to Backus–Gilbert methods by Luigi Del Debbio, Alessandro Lupo, Marco Panero, Nazario Tantalo

“…In this work, we discuss how Backus–Gilbert methods, in particular the variation introduced by some of the authors, relate to the solution based on Gaussian Processes. Both methods allow computing spectral densities smearing with a kernel whose features depend on the detail of the algorithm. …”
Get full text

Maximum time between cardiac cycles in atrial fibrillation for assessing the risk of arterial thromboembolism by O. A. Germanova, A. V. Germanov, Yu. V. Shchukin

“…A similar trend was also observed in the analysis of arterial kinetic parameters.Conclusion. Not only the fact of AF presence is important for assessing the risk of arterial thromboembolism, but also its features. …”
Get full text

FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES by Olga V. Kitova, Igor B. Kolmakov, Ilya A. Penkov

“…The authors put forward several variants of implementing models designed by Python programming. Computer experiments were conducted to adjust model parameters that can guarantee acceptable results in forecasting investment indicators.…”
Get full text

Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub by Abdulbasit Almhafdy, Ashjan Al-Mutairi, Asma Al-Shargabi, Amal Al-Shargabi

Get full text

GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…The proposed system implements three key innovations: (1) Architectural optimization through replacement of the Spatial Pyramid Pooling Cross Stage Partial Connections (SPPCSPC) module with GhostSPPCSPC for expanded receptive field representation. (2) Integration of a parameter-free attention mechanism (SimAM) with refined pooling configurations to boost multi-scale detection sensitivity, and (3) Strategic deployment of depthwise separable convolutions (DSC) to reduce computational complexity while maintaining detection fidelity. …”
Get full text

Cascade Nonlinear Observer-Based Speed-Sensorless Adaptive Twisting Sliding Mode Control of Linear Induction Motor by Lei Zhang, Xiaodong Xie, Dabiao Wu, Zicheng Wang, Jianli Wang, Jiaxin Jing, Huazhen Deng, Junkai Li, Jie Huang, Jingli Huang

“…This feature significantly enhances the practical applicability of the control system in real-world industrial environments. …”
Get full text