Transmission Line Model Measurements of Metal-Semiconductor Contacts by M.M. Musztyfaga-Staszuk, P. Panek, A. Czupryński, C. Mele

Get full text

Model reduction of structural mechanical response in the time domain by Xin Yan, Xinyu Guo, Ningya He, Jinglong Shi, Daquan Zhao

“…A hyperparameter tuning and optimization procedure for neural network models is proposed, exploring batch size, hidden layer type, activation function, cells number, epochs number, and number of hidden layers. …”
Get full text

Modeling of Blood Flow Dynamics in Rat Somatosensory Cortex by Stéphanie Battini, Nicola Cantarutti, Christos Kotsalos, Yann Roussel, Alessandro Cattabiani, Alexis Arnaudon, Cyrille Favreau, Stefano Antonel, Henry Markram, Daniel Keller

“…We developed a framework with three key components: coupling between the vasculature and synthesized astrocytic morphologies, a fluid dynamics model to compute flow in each vascular segment, and a stochastic process replicating the effect of astrocytic endfeet on vessel radii. …”
Get full text

Prediction of maximum forming depth in single point incremental forming of 6061 aluminum alloy based on Adaboost regression by LIANG Zhikai, ZHANG Zhichao, HU Lan, PANG Qiu

“…However， the appropriate range of process parameters suitable for different models remains undefined， necessitating extensive parameter testing. …”
Get full text

3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…Existing deep learning models typically adopt encoder-decoder architectures integrating convolutional layers with global dependency modeling to capture broader contextual information around tumors. …”
Get full text

An ISM-based approach to overcoming barriers to adopting next-generation processing and computing technologies in the ceramics and glass manufacturing industries by T. Ibn-Mohammed, N. Bhanot, A.H. Mohammed, C.E.J. Dancer, K. Kirwan

“…The Interpretive Structural Modelling (ISM) technique was adopted to deepen the understanding of the contextual interactions and interdependencies among the barriers, structuring them into seven hierarchical layers. …”
Get full text

A Dual-Layered Pythagorean Neutrosophic and Partial Locality Framework for Emotionally Adaptive Furniture Product Design Based on Elderly User Perception by Mingyan Yang

“…Each user’s experience is modeled across two dimensions: (1) a local sensory layer representing real-time physical interaction, and (2) a non-local emotional layer reflecting memory and cultural values. …”
Get full text

A Formal Model for the Business Innovation Case Description by Masaaki Kunigami, Takamasa Kikuchi, Takao Terano

“…In case method learning, class discussions are based on cases that summarize actual business processes. This paper presents a model to re-description formally business innovation cases written in natural language. …”
Get full text

Deep Learning-Based Music Quality Analysis Model by Jing Jing

“…The shallow learning features and deep learning features are seamlessly combined into the SVM model for music quality modeling, based on which differential voting mechanisms are leveraged to realize the fusion of decision-making layers. …”
Get full text

Assessing the performance and explainability of an avalanche danger forecast model by C. Pérez-Guillén, F. Techel, M. Volpi, A. van Herwijnen

“…SHapley Additive exPlanations (SHAP) were employed to make the model's decision process more transparent, reducing its “black-box” nature. …”
Get full text

Physics-Guided Memory Network for building energy modeling by Muhammad Umair Danish, Kashif Ali, Kamran Siddiqui, Katarina Grolinger

“…This paper introduces a Physics-Guided Memory Network (PgMN), a neural network that integrates predictions from deep learning and physics-based models to address their limitations. PgMN comprises a Parallel Projection Layers to process incomplete inputs, a Memory Unit to account for persistent biases, and a Memory Experience Module to optimally extend forecasts beyond their input range and produce output. …”
Get full text

Heating Calculation for Multi-Layer Bodies by R. I. Yesman

“…Displacement of phase transformation front along layer section is taken into account in  the paper.The developed mathematical model is applied for calculation of temperature fields in the process of obtaining multi-layer products with special properties.Such products with the given operating characteristics can be applied in new innovation technologies of power and machine building engineering.…”
Get full text

Identification and classification of weak layers in the snow by E. S. Klimenko

“…The detailed analysis of scientific publications and field observations led to the creation of a new classification of weak layers. The layers are classified basing on their cohesiveness, the causes of initial disturbance and internal and external processes which form a weak layer. …”
Get full text

Simulation study on frost formation characteristics on the surface of cold storage evaporator by Fuqing ZHANG, Ye YAO, Haiyan QU, Bo CUI

“…The accuracy of the model was verified by using the frosting experimental platform on the surface of the cold storage evaporator.The effects of different return air temperature, return air humidity, and wind speed conditions on the growth of frost layer and the heat transfer efficiency of the evaporator were discussed. …”
Get full text

Deriving equivalent symbol-based decision models from feedforward neural networks by Sebastian Seidel, Uwe M. Borghoff

“…The resulting symbolic structures effectively capture FNN decision processes and enable scalability to deeper networks through iterative refinement of subpaths for each hidden layer. …”
Get full text

Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

“…To explore the relative merits of these two approaches, we have developed a two-layered machine-learning reconstruction model MEMLM (Multi Ensemble Machine Learning Model). …”
Get full text

A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…The process employs Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) to filter out noise from the vibration signals emitted by bearings; secondly, considering the issue with the conventional Harris Hawks Optimization (HHO) algorithm which tends to prematurely converge to local optima, the differential evolution mutation operator is introduced and the escape energy factor is improved from linear to nonlinear in IHHO; then, a double-layer network model based on DBN-ELM is proposed, to avoid the number of hidden layer nodes of DBN from human experience interference, and IHHO is used to optimize DBN structure, which is denoted as IHHO-DBN-ELM method; with the optimal structure is obtained by using a combined IHHO optimized DBN and ELM; in conclusion, the proposed IHHO-DBN-ELM approach is applied to the bearing fault detection using the Western Reserve University's bearing fault dataset. …”
Get full text

Improvement of mechanical properties of biomimetic‐layered Si3N4 ceramics with TiN as the interface layer by Xinghua Shen, Tongyang Li, Lizhi Zhang, Lujie Wang, Yuan Yu, Huaguo Tang, Zhuhui Qiao

“…The fracture toughness and flexural strength were improved by the layered ceramics modeled after the micro‐nano structure was regulated by the nacre, the toughness can reach to 17.04 ± 1.32 MPa·m1/2. …”
Get full text

End-to-End Multi-Modal Speaker Change Detection with Pre-Trained Models by Alymzhan Toleu, Gulmira Tolegen, Alexandr Pak, Jaxylykova Assel, Bagashar Zhumazhanov

“…The extracted features are fused and processed through a fully connected classification network, with layer normalization and dropout for stability and generalization. …”
Get full text

Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

“…The process includes training floating-point models, applying tensor decomposition algorithms, binarizing the decomposed layers, and fine tuning the resulting models. …”
Get full text