A noise-constrained lightweight high-quality image hiding method based on invertible neural networks by Minghui Zhu, Dapeng Cheng, Yanyan Mao, Lu Sun, Wanting Jing, Yue Kong, Jinjiang Li

“…Most existing image hiding methods have a large number of parameters, complex structures, and significant storage requirements. …”
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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

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Digital Trade Infrastructures: A Framework for Analysis by Boriana Rukanova, Stefan Henningsson, Helle Zinner Henriksen, Yao-Hua Tan

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Control-Flow-Based Methods to Support the Development of Sound Workflows by Thomas M. Prinz, Wolfram Amme

“…These techniques provide detailed diagnostic information and have a cubic asymptotic complexity of runtime. Their efficiency and quality is evaluated using a benchmark of over thousand real-world workflows together with two leading state-of-the-art approaches.…”
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Performing point-of-care molecular testing for SARS-CoV-2 with RNA extraction and isothermal amplification. by Pierre Garneret, Etienne Coz, Elian Martin, Jean-Claude Manuguerra, Elodie Brient-Litzler, Vincent Enouf, Daniel Felipe González Obando, Jean-Christophe Olivo-Marin, Fabrice Monti, Sylvie van der Werf, Jessica Vanhomwegen, Patrick Tabeling

“…It is an efficient process, but the complex engineering required for automated RNA extraction and temperature cycling makes it incompatible for use in point of care settings [1]. …”
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Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…However, traditional fault detection techniques often exhibit limitations when applied to the complex operational conditions, varying environmental factors, and multimodal data encountered in chemical equipment. …”
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Federated hierarchical MARL for zero-shot cyber defense. by Adel Alshamrani

“…The hierarchical structure decomposes complex defense tasks into specialized sub-tasks managed by agents, reducing the learning problem's complexity and enabling more efficient coordination. …”
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Research on Long-Distance Snow Depth Measurement Method Based on Improved YOLOv8 by Jia-Wen Wang, Yu Cao, Zong-Kai Guo, Cheng Xu

“…However, the standard YOLOv8-seg model still faces challenges, such as insufficient detection accuracy and blurred edges, when dealing with snow detection in complex backgrounds. …”
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metaGE: Investigating genotype x environment interactions through GWAS meta-analysis. by Annaïg De Walsche, Alexis Vergne, Renaud Rincent, Fabrice Roux, Stéphane Nicolas, Claude Welcker, Sofiane Mezmouk, Alain Charcosset, Tristan Mary-Huard

“…However, genome-wide association studies (GWAS) of MET data are significantly more complex than that of single environments. In this context, we introduce metaGE, a flexible and computationally efficient meta-analysis approach for jointly analyzing single-environment GWAS of any MET experiment. …”
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Waveguide-Integrated Plasmonic Photodetectors and Activation Function Units With Phase Change Materials by Jacek Gosciniak

“…With a rapidly growing amount of data generated and processed, a search for more efficient components and architectures such as neuromorphic computing that can perform increasingly complex operations in more efficient way continue. …”
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Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques by Syed Ibrar Hussain, Elena Toscano

“…Multiple networks, including XceptionNet, DenseNet, MobileNet, NASNet Mobile, and EfficientNet, were evaluated to test deep learning’s potential in complex, multi-class classification tasks. …”
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License Plate Recognition for Smart Construction Sites Based on GMH-YOLO by Ming Li, Ze-Quan Wang, Yu-Hang Zhao, Qiang Li

“…With the rapid urbanization, vehicle management at construction sites has become crucial for safety and logistics efficiency. However, License Plate Detection in such environments faces unique challenges, such as simultaneous detection of dual plates and body plates, strong light reflections, and muddy interferences. …”
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A Review on Pipeline In-Line Inspection Technologies by Qingmiao Ma, Weige Liang, Peiyi Zhou

“…Although existing technologies have achieved significant progress in defect detection accuracy and environmental adaptability, they still face challenges including insufficient adaptability to complex environments, the inherent trade-off between detection accuracy and efficiency, and high equipment costs. …”
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Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities by Xinrui Yu, Jafar Saniie

“…Our experimental results confirm that the VISA system efficiently assists visually impaired users in indoor navigation, object detection and localization, and label and text recognition, thereby significantly enhancing their spatial awareness and independence.…”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…This study explores hybrid spectrum sensing techniques, combining matched filter (MF) energy detection (ED) and an equal-gain combining-based energy detection Neyman-Pearson threshold estimation technique (EGC-ED-PTh) to enhance waveform detection accuracy in complex environments. …”
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Design of a parallel Helmholtz resonator structure as a hazardous greenhouse gases sensor using the transfer matrix method by Ilyas Antraoui, Ahlem Guesmi, Mohamed El Malki, Naoufel Ben Hamadi, Wesam Abd El-Fattah, Ali Khettabi, Zaky A. Zaky

“…These findings confirm the sensor’s potential for accurate, efficient gas detection relevant to respiratory health, offering significant advantages over conventional, more complex systems.…”
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Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, Byungun Yoon

“…Traditional fire detection systems that rely on single IoT sensors, like heat or smoke detectors, are prone to inaccuracies and delayed responses, particularly in noisy or complex industrial environments. …”
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300 GHz Wireless Link Based on Whole Comb Modulation of Integrated Kerr Soliton Combs by Tomohiro Tetsumoto, Antoine Rolland

“…The experiment shows that simultaneous modulation and detection of multiple comb lines leads to more than 10 times stronger modulation signal strength compared to two-line detection at the receiver. …”
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Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…Aiming at the lack of accuracy and efficiency of the traditional detection methods and the existing deep learning-based detection methods, this study proposes a contour extraction model for bridge cracks at different scales based on the deep learning algorithm. …”
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