Recovery of Carbon Fibres From Aged Epoxy Matrix Composites Using H2O2 as an Oxidant: A Thermodynamic and Technoeconomic Analysis by Paul Njeni Mabalane, Kristof Molnar, Philani Thembelihle Mazibuko, Kolos Molnár, Caroline Khoathane, Mike Masukume

“…The technoeconomic assessment revealed favourable outcomes across all key financial indicators, demonstrating the viability and potential benefits of the process. A capital investment of $17.34M over 10 years was required. …”
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A Dense Pyramidal Residual Network with a Tandem Spectral–Spatial Attention Mechanism for Hyperspectral Image Classification by Yunlan Guan, Zixuan Li, Nan Wang

“…Moreover, the method enhanced the processing speed, especially for large datasets such as WHU-Hi-HongHu. …”
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Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Tanveer Ahmed, Shahid Ali, Ayaz Ali, Aminjon Gulakhmadov, Won-Ho Nam, Nengcheng Chen

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GLIHamba: global–local context image harmonization based on Mamba by Jinsheng SUN, Jiao PAN, Yu GUO, Chao YAO

“…Image harmonization has emerged as a significant research area in the field of image processing. With the rapid development of image processing technologies in recent years, it has gradually become a focal point of attention in both academia and industry. …”
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Coupled Phylogenetic and Functional Enrichment in the Tomato Rhizosphere Microbiome by Silvia Talavera-Marcos, Ramón Gallego, Rubén Chaboy-Cansado, Alberto Rastrojo, Daniel Aguirre de Cárcer

“…We also conducted additional computer simulations to examine the relationship between phylogenetic clustering and community function. …”
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SCREENING FOR OVARIAN CANCER: REALITY AND PROSPECTS. REVIEW OF THE LITERATURE by E. V. Gerfanova, L. A. Ashrafyan, I. B. Antonova, O. I. Aleshikova, S. V. Ivashina

“…More advanced imaging techniques such as computer tomography or magnetic resonance imaging proved too expensive for widespread use in view of their limited sensitivity and specificity. …”
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Analysis of the results of designing reading electronics of silicon photomultiplier tubes driven by the base matrix crystal MN2XA030 by O. V. Dvornikov, V. A. Tchekhovski, Ya. D. Galkin, A. V. Kunts, V. R. Stempitski, N. N. Prokopenko

“…To register large input charges, it is recommended to reduce the output pulse by reducing the voltage at the Gain pin or process the signal from the FOut pin. The output parameters of the experimental samples are compared with the results of computer simulation. …”
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Incremental Cotton Diseases Detection Based on Aerial Remote Sensing Image and Blockchain Sharding by Jing Nie, Haochen Li, Yang Li, Jingbin Li, Xuewei Chao, Sezai Ercisli

“…In addition, the blockchain is further partitioned and a reputation evaluation mechanism is added to the process of federated learning model aggregation to optimize the whole federated learning process. …”
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A novel dataset and deep learning object detection benchmark for grapevine pest surveillance by Giorgio Checola, Paolo Sonego, Roberto Zorer, Valerio Mazzoni, Franca Ghidoni, Alberto Gelmetti, Pietro Franceschi

“…Assisted by entomologists, we performed the annotation process, trained, and compared the performance of two state-of-the-art object detection algorithms: YOLOv8 and Faster R-CNN. …”
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DFT Study of Initial Surface Reactions in Gallium Nitride Atomic Layer Deposition Using Trimethylgallium and Ammonia by P. Pungboon Pansila, Seckson Sukhasena, Saksit Sukprasong, Worasitti Sriboon, Wipawee Temnuch, Tongsai Jamnongkan, Tanabat Promjun

“…Furthermore, this study suggests that highly reactive NH₂⁻ species generated in the gas phase from ionized NH₃ may help reduce the process temperature in the GaN-ALD process.…”
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YOLOv5-RF: a deep learning method for tailings pond identification in high-resolution remote sensing images based on improved loss function by Weiming Zhang, Wenliang Jiang, Qiang Li, Yi Luo, Heng Zhang, Qisong Jiao, Yongsheng Li, Hongbo Jiang

“…These findings suggest that our model significantly enhances processing speed without compromising accuracy levels. …”
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Enhancing Real-Time Simulation of the Complexity Natural Gas Pipeline Network Through MLP-Newton Algorithm for High Precision and Reliability by Hankai Zhai, Xinming Song, Xiaoli Wang, Wentao Cui, Yeru Chen, Shuai Wang

“…Finally, by combining the iterative process of Newton’s method with the “numerical table” method, a simple calculation method based on the contribution value is established. …”
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Conservation in action: Cost-effective UAVs and real-time detection of the globally threatened swamp deer (Rucervus duvaucelii) by Ravindra Nath Tripathi, Karan Agarwal, Vikas Tripathi, Ruchi Badola, Syed Ainul Hussain

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Optimized Machine Learning-Augmented Hybrid Empirical Models for AlGaN/GaN HEMTs: A Comprehensive Analysis by Ahmad Khusro, Saddam Husain, Mohammad Hashmi

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A 6.7 μW Low-Noise, Compact PLL with an Input MEMS-Based Reference Oscillator Featuring a High-Resolution Dead/Blind Zone-Free PFD by Ahmed Kira, Mohannad Y. Elsayed, Karim Allidina, Vamsy P. Chodavarapu, Mourad N. El-Gamal

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Can We Discover Physical Models Using Machine Learning? A Case Study of Galaxy Sizes by Festa Buçinca-Çupallari, Ariyeh H. Maller, Viviana Acquaviva, Austen Gabrielpillai, Rachel S. Somerville

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Unified Model and Survey on Modulation Schemes for Next-Generation Automotive Radar Systems by Moritz Kahlert, Tai Fei, Yuming Wang, Claas Tebruegge, Markus Gardill

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Optimizing Social Security Contributions for Spanish Self-Employed Workers: Combining Data Preprocessing and Ensemble Models for Accurate Revenue Estimation by Luis Palomero, Vicente García, José Salvador Sánchez

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RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models by Muhammad Zain, Nisar Hussain, Amna Qasim, Gull Mehak, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh

“…LoRA has been tuned for large language models (LLMs), a family of advanced machine learning frameworks, based on the principle of making the process efficient with extremely low computational cost with better enhancement. …”
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Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery by Tao Jiang, Maximilian Freudenberg, Christoph Kleinn, Timo Lüddecke, Alexander Ecker, Nils Nölke

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