Cell-level deep learning as proxy model for reservoir simulation and production forecasting by Rafael M. Magalhães, Thiago J. Machado, Moisés D. Santos, Gustavo P. Oliveira

“…Abstract Optimizing strategies in the Oil and Gas Industry, particularly within reservoir engineering and management, remains a significant challenge due to the prohibitive computational time costs and high resource demands of current simulation methods, even for medium-sized reservoirs. …”
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Can electronic screens influence head and neck posture in adolescents? A systematic review by Aline Mendonça Turci, Camila Gorla Nogueira, Michelli Belotti Bersanetti

“…Therefore, regarding smartphone use, considerations are limited. Overall, computer use is not responsible for postural changes in the head and neck of adolescents; however, more studies are needed to confirm this conclusion.…”
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BIODEGRADABLE COMPOSITES OF SUGARCANE BAGASSE AND VEGETAL POLYURETHANE FOR BIOMEDICAL APPLICATIONS by Talita Angelica dos Santos, Carla Molina Satirio, Karina Oliveira Fernandes da Silva, Maria Virgem Carvalho de Paula, Natália Francisco de Paula

“…Therefore, the work aimed at the development of biodegradable biocomposites of sugarcane bagasse fibers for application in orthoses and evaluated their viability through mechanical, chemical, biodegradation and computational simulation tests. …”
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Enhancing Software Quality with AI: A Transformer-Based Approach for Code Smell Detection by Israr Ali, Syed Sajjad Hussain Rizvi, Syed Hasan Adil

“…We present a comprehensive comparative analysis between classical machine-learning models and transformer-based architectures, evaluating their computational efficiency and predictive capabilities. …”
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Control of grid-following converter-interfaced resources for improved transient stability of power systems by Arash Safavizadeh, Seyyedmilad Ebrahimi, Juri Jatskevich

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Understanding Software Defect Prediction Through eXplainable Neural Additive Models by Ruiqi He, Yong Li, Chi Sun

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A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images by Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash

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Learning to represent causality in recommender systems driven by large language models (LLMs) by Serge Stéphane Aman, Tiemoman Kone, Behou Gerald N’guessan, Kouadio Prosper Kimou

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RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning by Juan G. Carvajal-Patiño, Vincent Mallet, David Becerra, Luis Fernando Niño Vasquez, Carlos Oliver, Jérôme Waldispühl

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Integrating sensor networks to facilitate efficient energy management for smart grids by Arpita Nath Baruah, Malatesh S. Akkur, Jyoti Seth, Jaymeel Shah

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Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications by Parul Dubey, Vinay Keswani, Pushkar Dubey, Gunjan Keswani, Dhananjay Bhagat

“…Performance metrics such as accuracy, sensitivity, precision, and F1-score were used to evaluate the model. The proposed framework achieved an accuracy of 97.8 % on the Kaggle dataset, significantly outperforming baseline models and demonstrating its robustness and efficiency for IoT-enabled face mask detection systems. • The article introduces a novel hybrid framework that combines ResNet50 and MobileNetV2 architectures optimized with Adaptive Flame-Sailfish Optimization (AFSO). • The system demonstrates superior performance, achieving 97.8 % accuracy on the Kaggle dataset, with improved efficiency for IoT-based real-time applications. • Validates the framework's robustness and scalability across diverse datasets, addressing computational and environmental challenges.…”
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Proportional Topology Optimization algorithm for two-scale concurrent design of lattice structures by Minh Ngoc Nguyen, Duy Vo, Tinh Quoc Bui

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Skin Cancer Cell Detection using Image Processing by Taskin Sabit, Faiza Tasnim, Sadia Afrin Sara, Sharia Tasnim Adrita, Maisha Tarannum

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Risk Factors for Time and Cost Overruns of Pipeline Projects in Saudi Arabia by Khalid Al-Gahtani, Maan Shafaay, Omar Ahmed, Marwan Alawshan, Naif Alsanabani, Saad Aljadhai

“…Evaluating risks is crucial for the smooth execution of pipeline projects. …”
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Using machine learning as a surrogate model for agent-based simulations. by Claudio Angione, Eric Silverman, Elisabeth Yaneske

“…In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). …”
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Pathway-like Activation of 3D Neuronal Constructs with an Optical Interface by Saeed Omidi, Yevgeny Berdichevsky

“…It may also enable studies into the effects of neurodegenerative or psychiatric disorders on cortical computation.…”
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Machine Learning for Wind Speed Estimation by Ilker Karadag, Miray Gür

“…For more than two decades, computational analysis has been pivotal in expanding architectural capabilities, enabling sustainable design through detailed environmental analysis. …”
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ArtStroke-GAN: A Unified Framework for Interpreting Watercolor Aesthetics via Personalized Stroke-Based Graphic Language by Laixi Zheng

“…Qualitative assessments further confirm its ability to produce aesthetically coherent, structurally consistent, and stylistically diverse watercolor renderings, significantly advancing the capability of computational art generation frameworks.…”
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Safeguarding accuracy for CT imaging with industrial robots: Efficient calibration methods for arbitrary trajectories by Anton Weiss, Simon Wittl, Gabriel Herl, Simon Zabler, Anna Trauth, Markus G. R. Sause

“… Conventional industrial computed tomography (CT) systems are constrained in their choice of acquisition trajectories due to their mechanical design. …”
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Tuning block-parallel all-pairs shortest path algorithm for efficient multi-core implementation by O. N. Karasik, A. A. Prihozhy

“…Finding shortest paths in a weighted graph is one of the key problems in computer-science, which has numerous practical applications in multiple domains. …”
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