AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data by Mohd Zubair Akhtar, Maximilian Schmid, Gordon Elger

“…Traditional Finite Element Analysis (FEA) techniques for predicting solder joint lifespan often rely on manual post-processing to identify high-risk regions for plastic strain accumulation. …”
Get full text

Added wave resistance prediction and comparative study based on point cloud feature extraction by Mingfeng WU, Renchuan ZHU, Dekang XU

Get full text

Hybrid Denoising Algorithm for Architectural Point Clouds Acquired with SLAM Systems by Antonella Ambrosino, Alessandro Di Benedetto, Margherita Fiani

“…The filtering process effectively removed about 50% of the points while preserving essential details, facilitating improved restitution and modeling of architectural and structural elements. …”
Get full text

Treegraph: tree architecture from terrestrial laser scanning point clouds by Wanxin Yang, Phil Wilkes, Matheus B. Vicari, Kate Hand, Kim Calders, Mathias Disney

“…Terrestrial laser scanning (TLS) offers millimetre‐level point cloud data, but current approaches to 3D tree reconstruction from TLS point clouds primarily focus on retrieving total volume at tree scale for aboveground biomass (AGB) estimation. …”
Get full text

Event camera-based human pose estimation via hybrid spiking-point cloud neural architecture by Sichao Tang, Hengyi Lv, Xiangzhi Li, Yuchen Zhao, Yisa Zhang, Yang Feng

“…The system also incorporates a cross-modal adaptive fusion mechanism that dynamically adjusts weights across different modalities, and an asynchronous skeleton constraint module that leverages human anatomical prior knowledge to constrain prediction results. Compared to existing methods, our network architecture more effectively processes the sparse asynchronous characteristics of event data, achieving a better balance between accuracy and efficiency, particularly excelling in complex scenes and rapid motion scenarios. …”
Get full text

Development and Evaluation of Neural Network Architectures for Model Predictive Control of Building Thermal Systems by Jevgenijs Telicko, Andris Krumins, Agris Nikitenko

“…In this study, we adapt neural network architectures such as GRU and TCN for use in the context of building model predictive control. …”
Get full text

Experimental test on 3D-printing components for Architectural Restoration by Valentina Tomei, Ernest Grande, Maura Imbimbo

Get full text

High-speed hardware architecture design and implementation of Ed25519 signature verification algorithm by Yiming XUE, Shurong LIU, Shuheng GUO, Yan LI, Cai’e HU

“…Aiming at the high performance requirements of signature verification for specific scenarios such as blockchain, a high-speed hardware architecture of Ed25519 was proposed.To reduce the number of calculations for point addition and point double, a multiple point multiplication algorithm based on interleaving NAF was conducted by using pre-computation and lookup tables.The modular multiplication operation was realized by using the Karatsuba multiplication and fast reduction method, and the point addition and point double operation was designed without modular addition and subtraction, which could effectively improve the performance of point addition and point double.Given that modular exponentiation was the most time-consuming operation in the decompression process, a new modular exponentiation approach was developed by parallelizing modular inverse and modular multiplication, and therefore the performance of the de-compression operation could be improved.The proposed architecture fully considers the use of resources and is implemented on the Zynq-7020 FPGA platform with 13 695 slices, achieving 8 347 verifications per second at 81.6 MHz.…”
Get full text

Reduction of Embodied Energy and Construction Cost of Affordable Houses through Efficient Architectural Design: A Case Study in Indian Scenario by Deepak Bansal, V. K. Minocha, Arvinder Kaur, Vaidehi A. Dakwale, R. V. Ralegaonkar

Get full text

A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management by Muhammad Salman Haleem, Daphne Katsarou, Eleni I. Georga, George E. Dafoulas, Alexandra Bargiota, Laura Lopez-Perez, Miguel Rujas, Giuseppe Fico, Leandro Pecchia, Dimitrios Fotiadis, Gatekeeper Consortium

“…We achieved the multimodal architecture prediction results with Mean Absolute Point Error (MAPE) between 14 and 24 mg/dL, 19–22 mg/dL, 25–26 mg/dL in case of Menarini sensor and 6–11 mg/dL, 9–14 mg/dL, 12–18 mg/dL in case of Abbot sensor for 15, 30 and 60 min prediction horizon respectively. …”
Get full text

Energy consumption reduction method for green buildings based on human thermal discomfort posture recognition algorithm by Shijiu Song, Li Zhou

Get full text

Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…Abstract The purpose of this research is to formulate and present a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organizational elements. …”
Get full text

Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model by Emilio Jiménez-Macías, Angel Sánchez-Roca, Hipólito Carvajal-Fals, Julio Blanco-Fernández, Eduardo Martínez-Cámara

Get full text

Continuous Joint Kinematics Prediction Using GAT-LSTM Framework Based on Muscle Synergy and Sparse sEMG by Meiju Li, Zijun Wei, Zhi-Qiang Zhang, Shuhao Ma, Sheng Quan Xie

Get full text

Hydrogen Safety in Solid Oxide Fuel Cells: an LSTM-Based Model for Predicting Temperature Anomalies and Change Points by Tomaso Vairo, Davide Clematis, Maria Paola Carpanese, Bruno Fabiano

“…The model efficacy in predicting temperature-related issues and detecting change points with high accuracy is verified by extensive runs in a laboratory scale plant. …”
Get full text

Multiscale Modeling of Meandering Fluvial Reservoir Architecture Based on Multiple-Point Geostatistics: A Case Study of the Minghuazhen Formation, Yangerzhuang Oilfield, Bohai Bay... by Jia Li, Chengyan Lin, Xianguo Zhang, Chunmei Dong, Yannan Wei, Wenyan Ning, Changcheng Han, Wei Guo

“…Model verification suggests this workflow can accurately realize the multiscale stochastic simulation of channels, point bars, and lateral accretion layers of meandering fluvial reservoirs. …”
Get full text

Beyond the Backbone: A Quantitative Review of Deep-Learning Architectures for Tropical Cyclone Track Forecasting by He Huang, Difei Deng, Liang Hu, Yawen Chen, Nan Sun

“…Building on this framework, we conduct a critical cross-model analysis that reveals key trends, performance disparities, and architectural tradeoffs. Our analysis also highlights several persistent challenges, such as long-term forecast degradation, limited physical integration, and generalization to extreme events, pointing toward future directions for developing more robust and operationally viable DL models for TC track forecasting. …”
Get full text

Building Damage Visualization Through Three-Dimensional Reconstruction and Window Detection by Ittetsu Kuniyoshi, Itsuki Nagaike, Sachie Sato, Yue Bao

Get full text

Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression by Javad Artin, Amin Valizadeh, Mohsen Ahmadi, Sathish A. P. Kumar, Abbas Sharifi

Get full text

Kinematic Integration Network With Enhanced Temporal Intelligence and Quality-Driven Attention for Precise Joint Angle Prediction in Exoskeleton-Based Gait Analysis by Lyes Saad Saoud, Irfan Hussain

“…Exoskeleton robots offer transformative potential in aiding the rehabilitation of patients with lower limb motor dysfunction, where precise and real-time prediction of knee joint angles is critical. Despite advances in deep learning for motion prediction, existing models struggle with balancing accuracy and real-time performance, particularly in wearable applications. …”
Get full text