Optimizing nanoparticle selection for enhanced oil recovery in carbonate rock using hybrid low salinity water flooding by Sunlee Han, Youngsoo Lee

“…Notably, hydrophobic Al2O3 NPs achieved the most substantial reduction in capillary pressure, facilitating an earlier breakthrough and enhanced oil displacement efficiency. Among all injection fluids, LSW/Al2O3 emerged as the optimal choice, delivering faster and more efficient oil recovery compared to DI/NP systems. …”
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A systematic review: computer vision algorithms in drone surveillance by Hamzah Fawzy, Anas Elbrawy, Moustafa Amr, Omar Eltanekhy, Esraa Khatab, Omar Shalash

“…<p class="p1">Drones have emerged as advanced Cyber-Physical Systems (CPSs) with significant potential in data collection and environmental monitoring. Their ability to operate via wireless communication channels makes them integral to various IoT applications, such as surveillance, delivery services, traffic monitoring, and precision agriculture. …”
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Development in Photoelectrochemical Water Splitting Using Carbon-Based Materials: A Path to Sustainable Hydrogen Production by Asim Jilani, Hussameldin Ibrahim

“…Their exceptional conductivity, tunable band structures, and surface functionalities contribute to efficient charge separation and enhanced light absorption. …”
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Detection of high-risk diseases in poultry feces through transfer learning by Abdulkadir Tasdelen, Yenal Arslan

“…Deep learning technology possesses the ability to autonomously analyze images, allowing constructed models to aid in the analysis and management of the poultry farming industry, particularly in early detection of sick poultry. …”
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DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism by Xingyu Tong, Zhihong Liang, Mingming Qin, Fangrong Liu, Jiayu Yang, Hengjiang Xiao, Wei Dai

“…The findings of this study provide practical technical references for intelligent and efficient few-shot detection in real-world wood quality inspection tasks.…”
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Strength Retention of Carbon Fiber/Epoxy Vitrimer Composite Material for Primary Structures: Towards Recyclable and Reusable Carbon Fiber Composites by Sudhanshu Nartam, Vishal Rautela, Sandip Budhe, Jinu Paul, Silvio de Barros

“…These research results open up new avenues for efficient recycling and contribute to the overall sustainability of the composite material at an economic level.…”
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Economic education of preschool children. A pedagogical view of the phenomenon by Helena Konowaluk-Nikitin, Stanisława Nazaruk

“…The offered examples taken from pedagogic practice could help teachers with implementing methods of efficient economical education in the field of preschool pedagogy. …”
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Real-time pH and temperature monitoring in solid-state fermentation reveals culture physiology and optimizes enzyme harvesting for tailored applications by Md Fauzul Kabir, Afranul Qader Ovi, Lu-Kwang Ju

“…These findings establish real-time pH and temperature tracking as a valuable tool for improving SSF process control, paving the way for more efficient and economically viable enzyme production in sustainable biorefineries.…”
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Advances in Doxorubicin-based nano-drug delivery system in triple negative breast cancer by Weiwei Zeng, Yuning Luo, Dali Gan, Yaofeng Zhang, Huan Deng, Guohui Liu

“…Nano-drug delivery systems possess unique targeting and ability of co-load, deliver and release chemotherapeutic drugs, active gene fragments and immune enhancing factors to effectively inhibit or kill tumor cells. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…In this work, we present ESTspecNet, a deep learning framework that integrates EfficientNet, the Swin Transformer, and spatial-channel attention mechanisms to improve spectral reconstruction accuracy. …”
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Engineering a multi model fallback system for edge devices by Gaurav Kadve, Abishi Chowdhury, Vishal Krishna Singh, Amrit Pal

“…The growing deployment of machine learning applications in edge environments, such as IoT devices and embedded systems, has highlighted the need for efficient, resource-aware systems for edge environments. …”
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Detecting Software Anomalies in Robots by Means of One-class Classifiers by Héctor Quintián, Esteban Jove, Francisco Zayas-Gato, Nuño Basurto, Carlos Cambra, Álvaro Herrero

“…The growing dependence on collaborative robots in essential industrial and service sectors raises urgent concerns regarding their reliability and ability to handle faults. Undetected software issues can degrade performance, jeopardize safety, and result in expensive downtimes. …”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Results from simulations highlighted the model’s ability to deliver accurate predictions across various lead times. …”
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UAV-Based Structural Health Monitoring Using a Two-Stage CNN Model with Lighthouse Localization in GNSS-Denied Environments by Timothy Scott C. Chu, Joses Sorilla, Alvin Y. Chua

“…Two experiments were conducted: evaluating UAV localization accuracy and assessing the system’s ability to detect cracks and provide corresponding pose data. …”
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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

“…ABSTRACT Accurately predict the remaining useful life (RUL) of lithium‐ion batteries for energy storage is of critical significance to ensure the safety and reliability of electric vehicles, which can offer efficient early warning signals in a timely manner. …”
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BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable-traceable data sharing system in Industrial Internet of Things by Leyou Zhang, Runze Tian, Qing Wu, Fatemeh Rezaeibagha

“…A crucial initial step in this process is the ability to perform fast and efficient keyword searches to help users locate the required data within vast datasets. …”
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Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering by Fahad Razaque Mughal, Jingsha He, Bhagwan Das, Fayaz Ali Dharejo, Nafei Zhu, Surbhi Bhatia Khan, Saeed Alzahrani

“…However, one of the major challenges in such environments is the efficient selection of edge nodes and the optimization of resource allocation, especially in dynamic and resource-constrained settings. …”
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MLA-Machine Learning Approach for Dependable Battery Condition Monitoring in Electric Vehicles by Tirgar Pravin, Priya R Karpaga, Sampath Kumar Vankadara, Lakhanpal Sorabh, Raj R Gowtham, N K Rayaguru

“…By focusing on relevant data at each moment, the monitoring process enhances the model’s ability to track long- term changes in battery life. …”
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Heart sound classification based on convolutional neural network with convolutional block attention module by Ximing Huai, Lei Jiang, Lei Jiang, Chao Wang, Peng Chen, Hanchi Li

“…Furthermore, T-SNE visualizations revealed clear class separation, highlighting the model’s ability to extract highly discriminative features. …”
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Predicting Wear Rate and Friction Coefficient of Li₂Si₂O₅ Dental Ceramic Using Optimized Artificial Neural Networks by Marko Pantić, Saša Jovanović, Aleksandar Djordjevic, Suzana Petrović Savić, Milan Radenković, Živče Šarkoćević

“…A genetic algorithm (GA) was used to optimize the ANN’s hyperparameters, improving its ability to model complex, nonlinear relationships between input variables, including normal load and velocity and output properties such as wear rate and friction coefficients. …”
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