Mechanical and Microstructural Properties of High-Speed Friction Stir Welding of AA 7020 Aluminum Alloy Using Multi-Pin Tool by Ramin Delir Nazarlou, Samita Salim, Michael Wiegand, Christian Wolf, Stefan Böhm

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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…Additionally, we performed a computational cost analysis to measure the efficiency of the models in terms of training time and resource usage. …”
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Modelling water table depth at rewetted peatlands with Sentinel-1 and Sentinel-2 by Eoin Reddin, Jennifer Hanafin, Mingming Tong, Laurence Gill, Mark G. Healy

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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…Autonomous vehicles (AVs), particularly self-driving cars, have produced a large amount of interest in artificial intelligence (AI), intelligent transportation, and computer vision. Tracing and detecting numerous targets in real-time, mainly in city arrangements in adversarial environmental conditions, has become a significant challenge for AVs. …”
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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…Our findings highlight the effectiveness of hybrid deep learning models in improving accuracy, interpretability, and real-time processing capabilities. These contributions have significant implications for applications in neurofeedback, mental health monitoring, and affective computing. …”
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Determining the Traction Characteristic of a Tractor in Operating Conditions by A. G. Arzhenovskiy, D. S. Kozlov, N. A. Petrishchev

“…The authors have developed and assembled a measuring and computing installation that allows processing arrays of data from two inductive sensors. …”
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Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG by Jiahui Pan, Weijie Fang, Zhihang Zhang, Bingzhi Chen, Zheng Zhang, Shuihua Wang

“…Correspondingly, the facial branch uses the improved GhostNet neural network proposed in this paper for feature extraction, which effectively alleviates the overfitting phenomenon in the training process and improves the classification accuracy compared with the original GhostNet network. …”
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Neural networks with personalized training for improved MOLLI T1 mapping by Olympia Gkatsoni, Christos G. Xanthis, Sebastian Johansson, Einar Heiberg, Håkan Arheden, Anthony H. Aletras

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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models by J. D. Dorathi Jayaseeli, J Briskilal, C. Fancy, V. Vaitheeshwaran, R. S. M. Lakshmi Patibandla, Khasim Syed, Anil Kumar Swain

“…Conventional models of skin cancer recognition require a complete physical examination by a specialist, which is time-wasting in a few cases. Computer-aided medicinal analytical methods have gained massive popularity due to their efficiency and effectiveness. …”
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Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

“…Notably, the model achieves high classification accuracy while maintaining a relatively low parameter size (23.9MB) and computational complexity (5.7Mflops). These experimental results fully demonstrate the effectiveness and feasibility of the proposed method.…”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…ML is usually reflected as a sub-branch of AI, which is closely linked to data mining, computational statistics, and data science (DS) and mainly concentrates on generating computers to acquire data. …”
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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…To address the needs of reservoir development with complex geological conditions in Shengli Oilfield， this paper systematically elaborates on the independent R&D process， core technologies， and application achievements of reservoir numerical simulation software. …”
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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…With the rapid expansion of Internet of Things (IoT) and edge computing applications, efficient video transmission under constrained bandwidth and limited computational resources has become increasingly critical. …”
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Multilayer perceptron neural network applied to the neutron transport equation for the single velocity neurocomputational approach to neutronic calculations by Rennan Franco, Thadeu Conti, Savio Ferreira

“…The performance of neutronic calculations is a fundamental process for the analysis and design of nuclear reactors. …”
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Multifractal Feature Descriptor for Histopathology by Chamidu Atupelage, Hiroshi Nagahashi, Masahiro Yamaguchi, Michiie Sakamoto, Akinori Hashiguchi

“…Observing the structural changes of these chaotic textures from the human eye is challenging process. However, the challenge can be defeat by forming mathematical descriptor to represent the histologic texture and classify the structural changes via a sophisticated computational method.…”
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Application of the Characteristic Basis Function Method Using CUDA by Juan Ignacio Pérez, Eliseo García, José A. de Frutos, Felipe Cátedra

“…In this work, we address the adaptation of this method to a relatively new computing infrastructure provided by NVIDIA, the Compute Unified Device Architecture (CUDA), and take into account some of the limitations which appear when the geometry under analysis becomes too big to fit into the Graphics Processing Unit’s (GPU’s) memory.…”
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Software in Metrology for the Digital Age: Addressing Compliance Challenges with MID, NAWID, and MDR by Koval Martin, Tesař Jiří, Staněk Martin, Foltýnek Jaroslav

“…While metrology has been crucial, software now plays an equally significant role, enabling data processing, automation, and new functionalities. Emerging technologies like AI, IoT, or cloud computing introduce compliance challenges. …”
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An efficient blockchain-based privacy preservation scheme for smart grids by Mohamad Badra, Rouba Borghol

“…We validate our approach through testing and show that it is a simple, scalable, cost-effective solution with minimal computational processing overhead.…”
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Spatial Archaeology: Remote Sensing for the Study and Preservation of Cultural Heritage through Open Data and FLOSS Tools by Giuseppe Guarino, Alessia Brucato

“…This research used diverse open-access satellite repositories offered by space programs such as Copernicus and, as case studies, analyzed two inland highland sites in Sicily (Italy). All images were processed with filters, algorithms, and routines in free Open-Source software such as QGIS 3.34.0 and cloud computing platforms like Google Earth Engine. …”
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Analysis of Common Cause Failure in the Safety Calculation for Railway Signaling System by TAN Shaobo, TANG Ganglin, HUANG Aiping

“…No complex CCF model needs to be built and analyzing and computing process is simplified. An example of a typical 2 out of 2 AND redundancy design was given to prove that the method can further improve the safety assessment results and has good applicability and maneuverability.…”
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