ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU by Shaoqiang Wang, Jiahui Cheng, Yizhe Wang, Shutong Li, Lei Kang, Yinfei Dai

“…Experimental results demonstrate that this intrusion detection solution substantially improves malicious traffic detection accuracy while ensuring efficient operation in resource-constrained vehicular environments.…”
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TARKAM: The Advanced Robotic Kicker and Automation Machine for Goalkeeper Training by Hendi Purnata, Supriyono, Sugeng Dwi Riyanto, Dwi Aji Nugroho, Wahidun Sholih

“…This research makes a practical contribution to improving the effectiveness of goalkeeper training, as well as offering a more efficient solution in football training. This research makes a practical contribution in improving the effectiveness of goalkeeper training, as well as offering a more efficient solution in soccer training.…”
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DNA Damage prevention by the use of Computational Designed Microlpastics adsorbing Chemicals. by Khadija Abbas Sahan, Zahraa Abbas Sahan

“…In this study we tried to Design a compound for the efficient absorption of microplastics by the use of PubChem, Avogadro, PyMOL, and SWISSADME. …”
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Dynamic Graph Neural Network for Garbage Classification Based on Multimodal Feature Fusion by Yuhang Yang, Yuanqing Luo, Yingyu Yang, Shuang Kang

“…Amid the accelerating pace of global urbanization, the volume of municipal solid garbage has surged dramatically, thereby demanding more efficient and precise garbage management technologies. …”
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Ebers–Moll model inspired equivalent circuit for quantum thermal transistors by Anuradhi Rajapaksha, Sarath D. Gunapala, Malin Premaratne

“…The widespread success of electronic transistors is partly due to their ability to be modeled using equivalent circuits, which not only enables detailed analysis and efficient design but also provides greater insight for designers, facilitating the development of complex electronic systems. …”
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Dual-Stream Enhanced Deep Network for Transmission Near-Infrared Dorsal Hand Vein Age Estimation with Attention Mechanisms by Zhenghua Shu, Zhihua Xie, Xiaowei Zou

“…To this end, this paper proposes an efficient dorsal hand vein age estimation model using a deep neural network with attention mechanisms. …”
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Enhanced nattokinase production by Bacillus subtilis from glycerol and okara: optimization of culture medium via response surface methodology by Yaling Duan, WanTing Du, Yang Xu, Gege Guo, Zhaoxing Liu, Ning Hao

“…To meet the demand for cost-effective production of nattokinase via fermentation, this study utilized renewable biomass resources—glycerol and okara—as raw materials for nattokinase production.MethodsA metabolic pathway for efficient glycerol utilization in Bacillus subtilis 13,932 was engineered using genetic modifications. …”
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Research on the Classification Method of Tea Tree Seeds Quality Based on Mid-Infrared Spectroscopy and Improved DenseNet by Di Deng, Hao Li, Jiawei Luo, Jiachen Jiang, Hongbo Mu

“…This study provides an efficient solution for tea tree seeds detection and screening, and its modular design can serve as a reference for the spectral classification of other crops.…”
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Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging by Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin

“…Subsequently, we introduce the EfficientViT-based YOLO V8 classification model, incorporating a Depthwise Separable Attention (C2F-DSA) module, and further optimize the model using the Gazelle Optimization Algorithm (GOA). …”
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A lightweight weed detection model for cotton fields based on an improved YOLOv8n by Jun Wang, Zhengyuan Qi, Yanlong Wang, Yanyang Liu

“…Abstract In modern agriculture, the proliferation of weeds in cotton fields poses a significant threat to the healthy growth and yield of crops. Therefore, efficient detection and control of cotton field weeds are of paramount importance. …”
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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…First, we incorporate the Efficient Channel Attention Network (ECANet) attention mechanism into the backbone network of YOLOv8, which improves the performance of small-target detection by adaptively enhancing the expressiveness of key features, so that the network possesses higher sensitivity and focus on tiny details in PCB images. …”
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Cyclodextrin Metal–Organic Frameworks for Catalytic Applications: Current Research and Future Outlook by Edgar Clyde R. Lopez

“…Catalysis is a fundamental process in chemistry and industry, driving the transformation of reactants into valuable products while minimizing energy input and waste generation. The quest for efficient and selective catalysts has led to the emergence of cyclodextrin metal–organic frameworks (CD-MOFs), a unique class of porous materials combining the advantages of cyclodextrins and metal–organic frameworks. …”
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Revising Common Approaches for Calibration: Insights From a 1‐D Tracer‐Aided Hydrological Model With High‐Dimensional Parameters and Objectives by Songjun Wu, Doerthe Tetzlaff, Chris Soulsby

“…NSGA‐II is effective and efficient after aggregating objectives to ≤4, but failed when calibrating against all 24 objectives. …”
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Voltage Quality Enhancement of Low-Voltage Smart Distribution System Using Robust and Optimized DVR Controllers: Application of the Harris Hawks Algorithm by Mohamed Metwally Mahmoud, Yahia M. Esmail, Basiony Shehata Atia, Omar Makram Kamel, Kareem M. AboRas, Mohit Bajaj, Syed Sabir Hussain Bukhari, Daniel Eutyche Mbadjoun Wapet

“…The benefits of the optimized controller system are inferred from the results, including their robustness, simplicity, efficient harmonic rejection, minimal tracking error, quick response, and sinusoidal reference track. …”
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GE-YOLO for Weed Detection in Rice Paddy Fields by Zimeng Chen, Baifan Chen, Yi Huang, Zeshun Zhou

“…Weeds are a significant adverse factor affecting rice growth, and their efficient removal necessitates an accurate, efficient, and well-generalizing weed detection method. …”
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A Hybrid Machine Learning Approach for Detecting and Assessing <i>Zyginidia pullula</i> Damage in Maize Leaves by Havva Esra Bakbak, Caner Balım, Aydogan Savran

“…The findings of this study contribute to the development of automated, scalable, and efficient pest monitoring systems, which are crucial for minimizing yield losses and improving agricultural sustainability.…”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…Finally, integrating the advantages of the CatBoost model and combining text and behavioral data aims to reduce over-fitting and enhance recognition accuracy. It provides an efficient and accurate identification tool for e-commerce platforms. …”
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Security Evaluation of Provably Secure ECC-Based Anonymous Authentication and Key Agreement Scheme for IoT by Kisung Park, Myeonghyun Kim, Youngho Park

“…To strengthen attack resilience, we propose several recommendations for the advancement of more robust and efficient AKA protocols specifically designed for IoT environments.…”
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Enhancing power distribution performance through simultaneous optimization of voltage regulators placement and conductor selection: A multi-period MILP approach by Luis A. Gallego Pareja, Jesús M. López-Lezama, Oscar Gómez Carmona

“…This approach represents a substantial advancement over traditional methods and plays a critical role in guaranteeing efficient power delivery in heavily loaded distribution networks.…”
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Practical deployment and validation of an IoT based semantic interoperability approach for industrial interoperability in smart manufacturing by Patricia Abril-Jimenez, Diego Carvajal-Flores, Leire Bastida, Ana Moya, María Fernanda Cabrera-Umpierrez

“…However, fragmentation of industrial protocols hampers efficient data exchange, delaying intelligent automation and digitalization. …”
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