A Fire Segmentation Method with Flame Detail Enhancement U-Net in Multispectral Remote Sensing Images Under Category Imbalance by Rui Zou, Zhihui Xin, Guisheng Liao, Penghui Huang, Rui Wang, Yuhu Qiao

“…Additionally, Haar wavelet downsampling is applied to retain image detail and improve the detection of small-scale flame regions. Experimental results show that the FDE U-Net model exhibits robust performance in fire detection, accurately extracting flame regions even when their proportion is low and the background is complex. …”
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Micro- and Nano-Plastics in Drinking Water: Threat or Hype? Critical State-of-the-Art Analysis of Risks and Approaches by Andrea G. Capodaglio

“…MP decomposition generates smaller nanoplastics (NPs) with different properties, closer to engineered nanoparticles than to MP. Their detection is more complex and laborious than MP’s, and, as such, their fate and effects are still poorly studied. …”
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Defect intelligent recognition of membrane product based on deep learning by Maonian Wu, Ling Li, Wei Peng, Tao Wu, Jinwei Yu, Bo Zheng, Shaojun Zhu

“…This enhances the recognition accuracy of bounding boxes, ensuring that the model maintains high detection accuracy even after complex scenarios. Moreover, the proposed methodology exhibits broad applicability across a wide spectrum of prevalent defect detection paradigms. …”
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Identification of SSR marker linked to gynoecious loci in cucumber (Cucumis sativus L.) by ZHOU Shengjun, ZHANG Peng, ZHU Yuqiang, CHEN Xinjuan, CHEN Liping

“…The use of molecular markers for indirect selection of important agronomic characters, or marker-assisted selection (MAS) can improve the efficiency of traditional breeding. …”
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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

“…Power system imbalances pose significant challenges to maintaining grid stability and ensuring efficient market performance, particularly in the context of the Japanese electricity market. …”
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Text Removal for Trademark Images Based on Self-Prompting Mechanisms and Multi-Scale Texture Aggregation by Wenchao Zhou, Xiuhui Wang, Boxiu Zhou, Longwen Li

“…These mechanisms are capable of efficiently extracting multilevel features and multiscale textual information, which enhances the model’s stability and adaptability in complex scenarios. …”
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New Ray Tracing Method to Investigate the Various Effects on Wave Propagation in Medical Scenario: An Application of Wireless Body Area Network by M. J. Islam, A. W. Reza, A. S. M. Z. Kausar, H. Ramiah

“…To prove the superiority, detailed complexity analysis and calculations of reflection and transmission coefficients are also presented in this paper. …”
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A clustering algorithm based on grids for core data and adjacency relationships for edge data by Honglei He

“…To address these issues, existing research primarily focuses on three directions: (1) optimizing the adaptive selection of grid parameters, which struggles to handle variations in cluster density; (2) improving grid division methods (e.g., multi-granularity or dynamic grids), which have limited effectiveness on complex-shaped data; and (3) integrating other clustering techniques, which enhances accuracy but increases algorithmic complexity. …”
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METHODOLOGICAL TOOLS FOR THE IMPLEMENTATION OF INFORMATION TECHNOLOGY FOR EXPERT ASSESSMENT OF THE QUALITY OF HEAVY AUTOMOBILE EQUIPMENT IN THE PROCESS OF ITS EXPLOITATION by Volodymyr Rudnytskyi, Amineh Hadi

“…The method of presentation and further implementation of a complex quality assessment model by means of fuzzy mathematics, which makes it possible to increase the efficiency of expert assessment, is described. …”
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Camera Pose Generation Based on Unity3D by Hao Luo, Wenjie Luo, Wenzhu Yang

“…Deep learning models performing complex tasks require the support of datasets. With the advancement of virtual reality technology, the use of virtual datasets in deep learning models is becoming more and more widespread. …”
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JET: Fast Estimation of Hierarchical Time Series Clustering by Phillip Wenig, Mathias Höfgen, Thorsten Papenbrock

“…One such application is the development of jet engines, which involves numerous test runs and failure detection processes. While effective data mining algorithms exist for the detection of anomalous and structurally conspicuous test recordings, these algorithms do not perform any semantic labeling. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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THE CONCEPT OF A COMPREHENSIVE PROGNOSTIC MODEL OF THE EFFECTIVENESS OF IMPLEMENTATION OF MINIMALLY INVASIVE INTERVENTIONS IN THE TREATMENT OF CARIOUS PATHOLOGY by S.B. Kostenko, O.Ya. Bilynskyi, G.N. Nakashydze, M.O. Stetsyk, M.Yu. Goncharuk-Khomyn, I.V. Penzelyk

“…As a result of scientific research and comparative analysis of the effectiveness of caries treatment by mini-invasive methods of intervention, the fact of improving the biological and biomechanical prognosis of the affected units of the dentition compared to the results of treatment of pathological lesions by surgery in accordance with classical protocols, confirming the developed complex prognostic model of efficiency of use of minimally invasive methods of treatment of carious pathology of dental patients. …”
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Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction by Björn Poss, Nikos Tsoulias, Galibjon M. Sharipov, Andreas Heiß, Dimitrios S. Paraforos

“…With the advent of the digital era in viticulture and the use of increasingly complex implements from different manufacturers, a standardised communication interface is essential. …”
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Highly customizable, ultrawide-temperature free-form flexible sensing electronic systems based on medium-entropy alloy paintings by Weiwei Li, Yingzhe Li, Manzhang Xu, Yilin Zhou, Ruoyan Miao, Kexin Wang, Yunqiang Cao, Yizhong Song, Siying Dang, Lu Zheng, Xuewen Wang, Wei Huang

“…Abstract High-performance flexible sensing electronics on complex surfaces operating across broad temperatures are critical for aerospace and industrial applications. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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A New [PMo₁₂O₄₀]³⁻-Based Ni^II Compound: Electrochemical and Photocatalytic Properties for Water Pollutant Removal by Guoqing Lin, Shufeng Liu, Dai Shi, Ying Yang, Fangle Yu, Tong Lu, Xiao-Yang Yu, Yuguang Zhao

“…Photocatalytic studies reveal that compound <b>1</b> functions as a bifunctional photocatalyst, which not only achieves efficient degradation of organic dyes but also demonstrates remarkable reduction efficiency for toxic Cr(VI). …”
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Quantification of Salmonella in Raw Poultry Using Droplet Digital PCR With a Whole Cell, Enrichment-free Approach by Cheryl M. Armstrong, Chin-Yi Chen, Yicheng Xie, Javier Atencia, Sophie Pierre, Yiping He, Joe Lee, Gretchen E. Dykes, Kathleen Johnson, Brice Froment, Sean Martinos, Joseph Capobianco

“…This platform offers a robust, rapid, and precise tool for detecting low levels of Salmonella in poultry products without enrichment, making it a more accurate and efficient approach to bacterial quantification in complex food matrices.…”
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Development and validation of a UPLC-MS/MS method for the simultaneous estimation of Ertugliflozin and Sitagliptin in bulk and tablet dosage forms: Assessment of greenness and blue... by Voohitha Manukonda, Santhoshi Priya Dandamudi, Praveen Kumar Kusuma, Gouthami Thumma, Kiran Gangarapu

“…Green analytical chemistry emphasizes the use of energy-efficient instruments, minimization of hazardous substances, and reduction of waste. …”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Overcoming noise in SEM images traditionally involves the use of various filters, such as the Wiener filter and Gaussian filter, but these methods are often limited in efficiency when handling complex noise patterns, and they can be time-consuming. …”
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