FEATURES OF AN ESTIMATION OF INVESTMENT PROJECTS AT THE ENTERPRISES OF AVIATION INSTRUMENT by Petr P. Dobrov

“…In view of this, to effectively manage the activities and the development of aviation instrument companies and enterprises of different ownership forms are highly relevant issues related to the assessment of investment projects. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…Although DETR’s self-attention mechanism effectively captures the global context, it struggles with fine-grained detail detection, limiting its efficacy in small object detection where noise can easily obscure or confuse small targets. To address these issues, we propose <b>F</b>uzzy <b>S</b>ystem <b>DN</b>N-<b>DETR</b> involving two key modules: Fuzzy Adapter Transformer Encoder and Fuzzy Denoising Transformer Decoder. …”
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AI-powered approaches for enhancing remote sensing-based water contamination detection in ecological systems by Li Yang, Zhang Ziwen, Xinhao Lin, Junmiao Hei, Yixiao Wang, Ang Zhang

“…This research addresses critical challenges in water quality management, offering a scalable and adaptable solution for addressing global water contamination issues.…”
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Valorization of fruits and vegetables waste byproducts for development of sustainable food packaging applications by Rakesh Kumar Gupta, Elsayed AE Ali, Fatma Abd El Gawad, Victor Mecheal Daood, Habiba Sabry, Sangeetha Karunanithi, Prem Prakash Srivastav

“…The research highlights various processing methods, including extraction, blending with biopolymers, and composite formation, to convert by-products into films, coatings, and moulded packaging. …”
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Visual automatic detection method for hydraulic support loss state at the working face by TENG Daiyu, NAN Bingfei

“…Due to changes in mining field geological conditions, fluctuations in pump station pressure, and errors in automated following system, hydraulic supports may experience a loss state during the automatic frame movement process. Manual monitoring of support loss significantly affects the efficiency of automated following at the working face. …”
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Hybrid additive manufacturing of high-quality polyetheretherketone (PEEK) -Ag conformal circuits by a laser in-situ crystallisation assisted fused deposition modelling and laser mi... by Shuhuan Zhang, Wuxia Bai, Li Meng, Pan Chen, Jinhang Wang, Kaiwen Wei, Beibei Zhu, Xiaoyan Zeng

“…The results revealed that laser irradiation during LMC induced the recrystallisation and volumetric shrinkage of PEEK, causing cracking of the Ag film, which significantly compromised its electrical performance and interfacial adhesion. To address these issues, this paper introduces a novel laser crystallisation method to the FDM + LMC process, in which a laser irradiation was conducted to heat the FDM-printed PEEK and modulate its crystallinity, to enhance its thermal stability during LMC processing. …”
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Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…With the rapid development of smart devices and the Internet of Things (IoT), the explosive growth of data has placed increasingly higher demands on real-time processing and intelligent decision making. Cloud-edge collaborative computing has emerged as a mainstream architecture to address these challenges. …”
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GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…Along with this development, issues concerning waterborne traffic safety are gradually emerging. …”
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Comparative Validation of Laser Scanning and Traditional Measurement Methods for Tunnel Convergence by HU Guojin, XIA Caichu, NI Shihao, WU Ting, LI Hangtian

“…Meanwhile, the point cloud data obtained by the 3D laser scanner, after processing, can generate tunnel unfolded maps, useful for analyzing tunnel issues such as water leakage. …”
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Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

“…Nevertheless, current gait recognition methodologies predominantly rely on unimodal approaches, leading to suboptimal recognition performance. When processing multimodal data, existing algorithms frequently encounter challenges such as integration difficulties and insufficient fusion due to data heterogeneity across different modalities. …”
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ReScConv-xLSTM: An improved xLSTM model with spatiotemporal feature extraction capability for remaining useful life prediction of Aero-engine by Mingxing Huang, Lanying Yang, Gang Jiang, Xingan Hao, Hong Lu, Hang Luo, Peng Wang, Jinyang Li

“…Firstly, the model converts one-dimensional signals from multiple sensors into multi-channel two-dimensional wavelet time-frequency images through time window processing, RobustScaler normalization, and the Continuous Wavelet Transform (CWT) method, enhancing the spatiotemporal features of the data and achieving data augmentation and noise reduction. …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…However, deploying deep learning models on edge devices presents significant challenges due to limited computational resources and strict latency constraints. To address these issues, we propose YOLOLS, a lightweight and efficient detection model derived from YOLOv8n and optimized for real-time edge deployment. …”
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Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…Polarimetric decomposition methods are widely used in polarimetric Synthetic Aperture Radar (SAR) data processing for extracting scattering characteristics of targets. …”
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An evolution of forensic linguistics: From manual analysis to machine learning – A narrative review by R. Thamizh Mani, Vikram Palimar, Mamatha Shivananda Pai, T.S. Shwetha, M. Nirmal Krishnan

“…By synthesizing 77 studies, the analysis reveals that ML algorithms—notably deep learning and computational stylometry—outperform manual methods in processing large datasets rapidly and identifying subtle linguistic patterns (e.g., authorship attribution accuracy increased by 34 % in ML models). …”
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Hate Speech Identification and Categorization on Social Media Using Bi-LSTM: An Information Science Perspective by Krishna Kumar Mohbey, Basant Agarwal, Nishtha Kesswani, Maxim Sterjanov, Yunevich Nikol, Vishnyakova Margarita

“…It offers further insights into the practical issues of automating hate speech detection in social media platforms by utilizing the model’s capacity to grasp linguistic nuances and context. …”
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Oleogels: Uses, Applications, and Potential in the Food Industry by Abraham A. Abe, Iolinda Aiello, Cesare Oliviero Rossi, Paolino Caputo

“…The fact that oleogels have the potential to bring about healthier food products, thereby contributing to a better diet, makes interest in the subject ever-increasing, especially due to the global issue of obesity and related health issues. Research studies have demonstrated that oleogels can effectively replace conventional fats without compromising flavor or texture. …”
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Adaptive pixel attention network for hyperspectral image classification by Yuefeng Zhao, Chengmin Zai, Nannan Hu, Lu Shi, Xue Zhou, Jingqi Sun

“…To tackle the above issues, we propose a novel Adaptive Pixel Attention Network, which can improve HSI classification by further mining the connections between pixels in patch features. …”
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Enzymatic Hydrolysis of Soy Protein by Dmitry V. Sokolov, Bulat A. Bolkhonov, Sesegma D. Zhamsaranova, Svetlana N. Lebedeva, Bayana A. Bazhenova

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Micellar Casein Concentrate in Hard Cheese Production by Elena I. Melnikova, Ekaterina V. Bogdanova, Ekaterina B. Stanislavskaia, Elena S. Rudnichenko, Mariya S. Chekmareva

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Integrating climate-smart practices in forestry: insights from Europe and America by Hongtao Xie, Hongtao Xie, Mengyuan Chang, Mengyuan Chang, G. Geoff Wang, Yu Tang, Songheng Jin, Songheng Jin

“…Besides, Intelligent logging operations and wood processing, forest bioeconomy should also be considered to promote the CSF development. …”
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