CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…The BLA not only boosts the model’s ability to recognize potato disease features but also ensures training stability and enhances the model’s robustness in handling noisy images. …”
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Application of Dual-Stage Attention Temporal Convolutional Networks in Gas Well Production Prediction by Xianlin Ma, Long Zhang, Jie Zhan, Shilong Chang

“…Effective production prediction is vital for optimizing energy resource management, designing efficient extraction strategies, minimizing operational risks, and informing strategic investment decisions within the energy sector. …”
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Implementing an Industry 4.0 UWB-Based Real-Time Locating System for Optimized Tracking by Athanasios Sidiropoulos, Dimitrios Bechtsis, Dimitrios Vlachos

“…The experimental results highlight the efficiency of the proposed solution for fast and accurate localization and tracking in real-world environments.…”
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Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output by Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami

“…A hybrid deep learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks is proposed to predict the performance of FOWTs accurately and more efficiently than traditional numerical models. This model addresses computational complexity and lengthy processing times of conventional models, offering adaptability, scalability, and efficient handling of nonlinear dynamics. …”
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Capacitance Classification for Supercapacitors Using Machine Learning by Ali Almuamri, Furkan Soysal, Sitki kocaoglu

“…Supercapacitors are considered key components in many industrial and technological applications, due to their high ability to store energy and rapid charging and discharging. …”
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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

“…This study compares the applicability, advantages, and limitations of different reinforcement learning algorithms in practical scenarios, and reveals core challenges such as state space complexity, learning stability, and computational efficiency. On this basis, a multi-agent cooperation optimization direction based on the two-layer reinforcement learning framework is proposed to improve the dynamic coordination ability of the power grid. …”
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Option Contract Pricing Model for Real Option with Right to Sell/Purchase the Project by S. A. Filin, L. A. Chaykovskaya, E. E. Zhussipova, G. K. Issayeva, Zh. M. Seisenbayeva

“…The hypothesis is that using a more objective calculation formula will increase the efficiency of making the corporation’s strategic investment and management decisions. …”
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Microfluidic reactors for paired electrosynthesis: Fundamentals, applications and future prospects by Hao Xue, Zhi-Hao Zhao, Menglei Yuan, Guangjin Zhang

“…Paired electrosynthesis has received considerable attention as a consequence of simultaneously synthesizing target products at both cathode and anode, whereas the related synthetic efficiency in batch reactors is still undesirable under certain circumstances. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…Firstly, a multi-scale feature fusion module is designed to reconstruct the Bottleneck structure in C2f, which finally forms the C2f-PMSFF module to enhance the feature expression ability of the model and optimize the computational efficiency. …”
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Reliability-Based Geotechnical Design Method Using the Gaussian Process Regression–Based Differential Evolution Algorithm by Kai Wen, Zemin Kuang, Wei Zeng, Sanyou Zeng, Yue Qiu

“…EI quantitatively evaluates each candidate’s potential to enhance economic efficiency and safety reliability, effectively converting the COP into a single-objective optimization problem (SOOP). …”
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An Improved Strategy for Torque Ripple Reduction of Dual Three-Phase Brushless DC Motor Fed by Two Diode-Clamped, Three-Level Inverters Using Model Predictive Control by Zahra Emami, Abolfazl Halvaei Niasar

“…Multiphase electric motors are useful for industrial and military applications that need high power, fault tolerance control, smooth torque, and the ability to share power and torque compared to conventional three-phase electric motors. …”
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Analysis of Tahfidz Program Entrance Examination Using C4.5 Method for Classification of Learning Groups in The Al-Mawaddah Region of Nurul Jadid Islamic Boarding School, Proboling... by Wahab Sya'roni, Yulia Sri Devi, Yanuar Ilmansyah

“…This research aims to increase the efficiency and accuracy of analyzing the Tahfid program entrance test results using the C4.5 Algorithm for study group classification and visualizing the results through a web-based interactive application using Streamlit. …”
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Fungal Biomass Fermentation: Valorizing the Food Industry’s Waste by Simas Borkertas, Jonas Viskelis, Pranas Viskelis, Paulina Streimikyte, Ugne Gasiunaite, Dalia Urbonaviciene

“…This fermentation method offers advantages like lower production costs, reduced waste disposal issues, and the efficient utilization of agricultural residues and fruit and vegetable by-products. …”
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Leveraging Deep Learning and Convolutional Neural Network for Digital Waste Image Classification by Fauzan Naufal Anis, Sukmasetya Pristi, Nuryanto Nuryanto

“…Such results have shown the ability of deep learning models, especially CNNs, to enhance waste classification accuracy. …”
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Using a Novel Neutrosophic Set-Based Method to Evaluate the Design Risk of Aerospace Manufacturing Projects in a Neutrosophic Environment by Hsiang-Yu Chung, Kuei-Hu Chang

“…This, in turn, hinders their ability to provide accurate assessments of decision-making parameters in risk assessment issues. …”
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Comparative Analysis of Pure and Scrap Metal Electrodes of Aluminum (Al), Zinc (Zn) and Copper (Cu) for the Development of Saline Batteries as an Alternative Power Source during Ca... by Molina Anna Shekinah, Bejarin Aaron Carlo, Evale Yelena, Fontanilla Angelica May, Requiroso Carsten Althensor, Escobal Charisse Angelique

“…Subsequently, the research team designed a prototype battery and tested its ability to power various types of LED lamps. Among the different configurations tested, the most effective were the parallel circuits of two 5-cell and two 6-cell batteries, which demonstrated superior longevity and efficiency. …”
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Synthesis of Magnetic Nanoparticles Coated with Human Serum Albumin and Loaded by Doxorubicin by Kirill Petrov, Elena Ryabova, Elena Dmitrienko, Alexey Chubarov

“…Coating by human serum albumin (HSA), the predominant blood plasma protein, can significantly influence properties, prolong circulation half-life, and enhance tumor capture efficiency. Here, we report the synthesis of oleic acid and Tween20-coated MNPs and their interaction with HSA. …”
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Autonomous Emergency Gliding Landing Guidance and Control of Tilt-Wing Electric Vertical Take-Off and Landing for Urban Air Mobility Missions Using Control Barrier Functions by Liqun Ma, Yangchen Ding, Jianzhong Yang

“…We illustrate the framework’s effectiveness through simulations, demonstrating its ability to guide eVTOLs to safe touchdowns despite power loss or other emergencies. …”
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Digital Twin-Based Ecogreen Building Design by Yang Liu, Yuhui Sun, Ang Yang, Jing Gao

“…The study shows that the proposed system framework can improve the efficiency and quality of green building operation cost management through technology upgrade and process optimization. …”
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Anthracene biodegradation capacity of newly isolated rhizospheric bacteria Bacillus cereus S13. by Nadia Bibi, Muhammad Hamayun, Sumera Afzal Khan, Amjad Iqbal, Badshah Islam, Farooq Shah, Muhammad Aaqil Khan, In-Jung Lee

“…However, the concentration of such contaminants/pollutants can be minimized with the help of microorganisms that has the ability to degrade the toxic pollutants into non-toxic metabolites. …”
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