Programing mechanics in warp-knitted spacer materials with double inlay-jacquard systems by Zhang Yanting, Zhang Jing, Zhang Aijun, Liu Haisang, Chen Chaoyu, Jiang Gaoming

“…This researched programing method shows great potential in increasing design efficiency and decreasing chemicals consumption in printing.…”
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Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

“…SPOTDisClust does not require binning and can detect complex patterns (beyond sequential activation) even when high levels of out-of-pattern "noise" spiking are present. …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…This indicates that with minimal adaptation, foundation models can be valuable tools in digital pathology, especially in complex multi-class scenarios.…”
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Rapid and sensitive determination of bongkrekic acid with molecularly imprinted polymer-coated wooden-tip electrospray ionization mass spectrometry by Chunfei Zhong, Xinyan Li, Fan Zhang, Ning Liu, Jiewei Deng, Yunyun Yang, Tiangang Luan

“…This study integrates MIP with ambient mass spectrometry, offering a robust, selective, and sensitive tool for the monitoring of trace BA levels in complex food and environmental samples, contributing significantly to public health safety and food quality control.…”
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PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data by Dandan Li, Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Juntao Gu, Chao Li, Weipeng Jing

“…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
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Tuberculous abdominal aortic aneurysm: Management and outcomes by Sree Vani Paladugu, MS, Ajay Savlania, MCh, Gokulkrishnan Hari, MS, Tanuj Singla, MS, Shreyas Srinivasan, MBBS, Ujjwal Gorsi, DM, Mustafa Razi, MD, Pradeep Burli, MD, Prem Chand Gupta, MS

“…Patient status at presentation, the complexity of surgical reconstruction, and the possibility of performing efficient surgical debridement influence the selection of various therapeutic strategies. …”
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Chitosan-encapsulated linoleic acid from Leucaena leucocephala (Lam.) de Wit. inhibits FOXL2 mutation in MNU-induced ovarian granulosa cell tumors in Wistar rats by Cletus Anes Ukwubile, Hassan Braimah Yesufu, Roland Nnaemeka Okoro, Ahamefula Anslem Ahuchaogu, Blessing Ogechukwu Umeokoli, Matthew Onyema Agu, Nnamdi David Menkiti, Patrick Akoji Ida

“…Gel retardation assay showed efficient complexation between LACS2 and FOXL2 gene, with maximum complex formation (86.22 ± 2.04 %) observed at 32 mg chitosan and 8 mg FOXL2. …”
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An Effective Method for Borehole Imaging of Buried Tunnels by Loreto Di Donato, Rosa Scapaticci, Tommaso Isernia, Ilaria Catapano, Lorenzo Crocco

“…Since this requires to drill holes in the soil wherein the transmitting and receiving antennas have to be positioned, low complexity of the involved apparatus is important. On the other hand, to effectively image the surveyed area, there is the need for adopting efficient and reliable imaging methods. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…Modern radar systems face increasingly complex challenges in tasks such as detection, tracking, and identification. …”
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Comprehensive Review of Edge Computing for Power Systems: State of the Art, Architecture, and Applications by Fatma Yıldırım, Yunus Yalman, Kamil Çağatay Bayındır, Erman Terciyanlı

“…The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has necessitated the implementation of smart grid technologies and the integration of advanced computing paradigms such as edge computing. …”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

“…Deep learning (DL) methods offer enhanced capabilities for CyanoHABs detection by learning complex patterns and adapting to varying conditions. …”
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PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

“…Currently, autonomous flight control for unmanned aerial vehicles (UAVs) has become increasingly critical in remote-sensing applications, such as high-resolution data acquisition and road disease detection. However, this task also faces significant challenges, particularly the weak GNSS signals in flight areas and the complex flight environment. …”
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Transparent memory tests with even repeating addresses for storage devices by V. N. Yarmolik, I. M. Mrozek, V. A. Levantsevich, D. V. Demenkovets

“…The validity of analytical estimates is experimentally shown and high efficiency of fault detection by the tests March_pA_1 and March_pA_2 is confirmed by the example of coupling faults for p = 2.…”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Although progress has been made in DR detection using deep learning techniques, these methods still face challenges in handling the complexity of DR lesion characteristics and the nuances in grading criteria. …”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…This study presents RDM-YOLO, a computationally efficient deep learning framework derived from YOLOv5s architecture, specifically designed for the automated detection of three essential behaviors (resting, wriggling, and eating) in fourth instar silkworms. …”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Existing methods for disease detection and severity classification struggle to quickly and accurately segment and quantify diseased areas on leaves, particularly in complex backgrounds. …”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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Solar Photovoltaic Diagnostic System with Logic Verification and Integrated Circuit Design for Fabrication by Abhitej Divi, Shuza Binzaid

“…A custom memory block with a reset switch was also implemented to store the fault value detected at the SP. Finally, the proposed ASIC was implemented for fabrication, which is highly cost-effective in mass production and does not require complex computational stages.…”
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Data Acquisition and Chatter Recognition Based on Multi-Sensor Signals for Blade Whirling Milling by Xinyu Li, Riliang Liu, Zhiying Zhu

“…Bladed components are essential in engines and propulsion systems, but their thin structures, complex geometries, and significant material removal rates during machining make them challenging to manufacture. …”
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