Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey by Somaya Eltanbouly, Jezia Zakraoui, Abdulaziz Al-Ali, Abdelhak Belhi, Sandy Rahme, Abdelaziz Bouras

“…Using insights from the literature and additional experiments conducted on the CICIDS-2017 dataset, we assessed each representation not only in terms of its ability to enhance detection performance but also in terms of computational efficiency. …”
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The role of force and torque in friction stir welding: A detailed review by Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

“…A notable advancement in this field is the implementation of machine learning tools, which enhance the ability to predict potential weld defects and improve overall weld quality. …”
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Can YOLO Detect Retinal Pathologies? A Step Towards Automated OCT Analysis by Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Anca Marginean

“…<b>Methods:</b> This study investigates the ability of state-of-the-art object detection models, including the latest YOLO versions (from v8 to v12), YOLO-World, YOLOE, and RT-DETR, to accurately detect pathological biomarkers in two retinal OCT datasets. …”
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A Review of Algae-Based Carbon Capture, Utilization, and Storage (Algae-Based CCUS) by Guihe Li, Jia Yao

“…Algae’s high photosynthetic efficiency, rapid growth rates, and ability to grow in non-arable environments provide significant advantages over other BECCS methods. …”
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Electrostatic charge injection for reusing face masks: Mechanisms, performance, and a household alternative by Zehua Peng, Zhiyuan Li, Xingcan Huang, Xinge Yu, Michael K. H. Leung, Zuankai Wang, Zhengbao Yang

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Comparing Gradient Boosting and Neural Networks in Predicting Age Based on Coronal Pulp Height from Panoramic Radiographs – A Retrospective Radiographic Study by Kishorwara Ramamoorthy, Devika S. Pillai, Pradeep Kumar Yadalam, Prasanthi Sitaraman

“…Conclusion: Gradient boosting excels in interpretability and efficiency with smaller datasets, in generalization. …”
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Erosive Wear and Corrosion in Hydrogenated and Silicon DLC Film Deposited on Carbon Steel by A. H. S. Bueno, J. Solis, H. Zhao, C. Wang, T. A. Simões, C. E. V. Masalla, A. Malacarne, R. C. Souza, R. M. D. Brydson, R. Barker, A. Neville

“…Amongst numerous traditional coatings to protect internal surfaces, Diamond-Like Carbon (DLC) films attract significant interest from many industries, due to the ability of these coatings to overcome the toxic and/or environmentally unfriendly aspects of some common deposition techniques, especially electroplating. …”
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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Furthermore, domain adversarial training is employed to promote the learning of domain-invariant features, significantly enhancing the model’s cross-subject generalization ability. The proposed method was evaluated on an fNIRS motor imagery dataset, achieving an average accuracy of 87.76% in a three-class classification task. …”
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Transforming bridges into smart infrastructure: a data-driven approach to monitoring bats and promoting sustainable coexistence by Jacob Koch, Jess Kropczynski, Janette Perez-Jimenez, Joseph S. Johnson

“…Smart infrastructure development often prioritizes human needs such as safety and efficiency, overlooking the potential to facilitate coexistence with wildlife. …”
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THE RECURRENT APPROACH TO RISK MANAGEMENT IN INNOVATIVE ACTIVITY by G. Brega

“…Special attention is paid to the conditions and factors of the recurrent approach implementation in innovation project risk management.The recurrent approach to innovation project risk management, according to the author, provides for increasing the efficiency of decision making process in the implementation and development of innovations.…”
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Recycling waste materials in construction: Mechanical properties and predictive modeling of Waste-Derived cement substitutes by Moutaman M. Abbas

“…The model successfully demonstrated its ability to replicate trends in compressive strength results across varying replacement levels, validating the findings and enhancing the study’s reliability. …”
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A Review of the Homogenized Lattice Boltzmann Method for Particulate Flow Simulations: From Fundamentals to Applications by Jan E. Marquardt, Mathias J. Krause

“…In addition, its parallel scheme based on the lattice Boltzmann method (LBM) results in high computational efficiency, making it suitable for large-scale simulations, even though LBM requires small time steps. …”
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Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…The results underscore the framework’s ability to balance economic efficiency and system reliability while ensuring scalability across diverse operational scenarios. …”
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Use of Artificial Intelligence Chatbots in Interpretation of Clinical Chemistry and Laboratory Medicine Reports: A Standardized Approach by Fabiana D’Urso, Federica Paladini, Mauro Pollini, Francesco Broccolo

“…These findings have significant implications for patient empowerment and healthcare communication efficiency.…”
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Textile dyes removal by low cost SA-g-(PAAc-co-AM)/AC hydrogel nanocomposite by Ishraq T. Hasan, Aseel M. Aljeboree

“…Hydrogels were prepared by the free radical polymerization method successfully to remove textile dyes from the aqueous solution, due to the good properties of the hydrogels as being environmentally friendly, having a high ability to swell, high adsorption efficiency and good chemical stability. …”
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Raman‐Enabled Predictions of Protein Content and Metabolites in Biopharmaceutical Saccharomyces cerevisiae Fermentations by Jeppe Hagedorn, Guilherme Ramos, Miguel Ressurreição, Ernst Broberg Hansen, Michael Sokolov, Carlos Casado Vázquez, Christos Panos

“…Our findings highlight the potential of Raman spectroscopy for real‐time, on‐line monitoring and control of complex microbial fermentations, thereby significantly enhancing the efficiency and quality of S. cerevisiae‐based biopharmaceutical production.…”
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SALM: A Unified Model for 2D and 3D Region of Interest Segmentation in Lung CT Scans Using Vision Transformers by Hadrien T. Gayap, Moulay A. Akhloufi

“…These results highlight SALM’s ability to accurately segment lung ROI in both 2D and 3D, demonstrating its potential to improve the accuracy and efficiency of computer-aided diagnosis for lung cancer.…”
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Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm by Sana Abdulla, K. Mahipal Reddy

“…Abstract Fractal interpolation has gained significant attention due to its ability to model complex, self-similar structures with high precision. …”
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Graph neural networks for mechanical property prediction of 2D fiber composites by Erdem Caliskan, Reza Abedi, Massimiliano Lupo Pasini

“…This work investigates the ability of graph neural networks (GNNs) to homogenize 2D fiber composite microstructures. …”
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Hydrogels for Translucent Wearable Electronics: Innovations in Materials, Integration, and Applications by Thirukumaran Periyasamy, Shakila Parveen Asrafali, Jaewoong Lee

“…These must collectively balance efficiency, functionality, and long-term durability. …”
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