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  1. 161

    Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

    Published 2025-01-01
    “…On the other hand, the manufacturing cost of the optimal NC process scheme is 16.6% lower.Conclusions The experimental results showed that the proposed approach can generate optimal NC process schemes for parts effectively and automatically, decrease production costs, and shorten the development cycle. …”
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  2. 162

    In Search of a “Social-AQI” by Ruchi Dwivedi, Muzamil Yaqoob, Aasim Khan, Praveen Priyadarshi, Saad Ahmad, Sudhir Attri, Raghava Mutharaju

    Published 2023-09-01
    “…Globally, datafication is being adopted as a solution for socio-environmental issues, with the belief that it will democratize decision-making by simplifying knowledge through data. However, this process can further alienate marginalized groups from governance by disregarding practical exposure levels and the sociopolitical contexts in which people live and engage at the community level. …”
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  3. 163

    Marketing and Innovation Process in Agri-Food Companies: Analysis via the Stage-Gate Model by Hakima SOUKI, Sabrina BOUKELLAL, Mohand CHITI

    Published 2025-06-01
    “…For the modelling of process mapping, we drew inspiration from the Stage-Gate System innovation process model. …”
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  4. 164

    UNDERWATER OBJECT SHAPE DETECTION BASED ON TONAL DISTRIBUTION AND EDGE DETECTION USING DIGITAL IMAGE PROCESSING by Andy Suryowinoto, Teguh Herlambang, Muhammad Sawal Baital, Berny Pebo Tomasouw

    Published 2024-03-01
    “…This also hinders the process of documenting underwater objects. The main purpose of this study was to obtain the shape of underwater objects for several conditions of light intensity under water using a low cost digital image sensor camera. …”
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  5. 165

    Quantitative and Qualitative Evaluation of Microplastic Contamination of Shrimp Using Visible Near-Infrared Multispectral Imaging Technology Combined with Supervised Self-Organizin... by Sureerat Makmuang, Abderrahmane Aït-Kaddour

    Published 2025-07-01
    “…Unlike conventional techniques, this approach eliminates the need for pre-sorting or chemical processing, offering a cost-effective and efficient solution for large-scale monitoring of MPs in seafood, with potential applications in food safety and environmental protection.…”
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  6. 166

    A standard procedure for dune mapping along the Bulgarian Black Sea coast: an integrated approach combining UAS photogrammetry, geomorphological and phytocoenological surveys by Bogdan Prodanov, Chavdar Gussev, Desislava Sopotlieva, Magdalena Valcheva, Radoslava Bekova, Ahinora Baltakova, Rosen Tzonev, Julian Popov

    Published 2025-05-01
    “…The procedure involves seven stages: initial inventory and data collection to processing, classification, and high-resolution mapping of coastal dune habitats. …”
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  7. 167

    Mapping individual tree crowns to extract morphological attributes in urban areas using unmanned aerial vehicle-based LiDAR and RGB data by Geonung Park, Bonggeun Song, Kyunghun Park

    Published 2025-09-01
    “…Additionally, deep learning (DL) models, which excel in image analysis, are constrained by the labor-intensive label generation process. This study introduces a novel framework integrating machine learning (ML)- and DL-based approaches to map ITCs and extract the morphological attributes in urban areas using unmanned aerial vehicles (UAVs). …”
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  8. 168

    Comparative Study of Multiple Supervised Classification Methods to Map Land Use in Local and Regional Scales (Case Study:Kan and Karaj Rivers Basin) by Maryam Alizadeh, Rooholah Mirzaee, Saedhosain Kiya

    Published 2016-10-01
    “…Out of all factors that influence the complex process of land cover/use mapping, appropriate classification system and approaches affect the land cover/use outcomes. …”
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  9. 169
  10. 170

    Improved Road Extraction Models through Semi-Supervised Learning with ACCT by Hao Yu, Shihong Du, Zhenshan Tan, Xiuyuan Zhang, Zhijiang Li

    Published 2024-09-01
    “…Improving the performance and reducing the training cost of road extraction models in the absence of samples is important for updating road maps. …”
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  11. 171
  12. 172

    Evolved Motor Design Process to Reduce the Design Expense of Axial Flux Permanent Magnet Motor by Jong-Min Ahn, Dong-Kuk Lim, Min-Mo Koo

    Published 2025-01-01
    “…This paper proposes a design process that combines an initial electromagnetic design using analytical techniques with an optimal design based on a multi-objective optimization algorithm, aiming to reduce the design cost of an axial flux permanent magnet motor for urban air mobility traction. …”
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  13. 173
  14. 174

    On signal encryption at MapReduce and collaborative attribute-based access with ECAs for a preprocessed data set with ML in a privacy-preserving health 4.0 by Arnab Mitra, Anabik Pal

    Published 2025-06-01
    “…The ML techniques were proposed to offer effective data pre-processing and dimensionality reduction. In contrast, ECAs were proposed to offer an integral parallelism and very-large-scale-integration (VLSI) capability at a low cost for its physical implementation and low power consumption towards data security and privacy of such big data in PPH 4.0. …”
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  15. 175

    Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy by Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng

    Published 2025-08-01
    “…Improving tree species classification accuracy often involves complex workflows, constrained by high computational costs, extensive data requirements, and sensitivity to spatiotemporal variations. …”
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  16. 176

    Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

    Published 2025-03-01
    “…By addressing critical gaps in geospatial data acquisition and processing, this study provides scalable, cost-effective solutions in the integration of multi-source remote sensing data and machine learning that contribute to sustainable urban development, disaster resilience, and resource planning. …”
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  17. 177

    Feasibility Study of Five Solar Thermal Power Plants in Arequipa, Peru, and Their Comparison with Seto Targets by Harry Aarón Yapu Maldonado

    Published 2025-01-01
    “…Finally, the LCOE is broken down into its main components to identify the most significant costs. The methodology was developed in three stages: (1) collection of technical, economic, and geographical parameters of Gemasolar along with climate and radiation data from Arequipa; (2) simulations in the System Advisor Model (SAM) software to optimize CSP plant design, considering the number and arrangement of heliostats, as well as the dimensions of the tower and receiver; and (3) processing of results in Excel to calculate the LCOE for each CSP configuration and the generation of contour maps in MATLAB to compare LCOE, TES, design power, and relative percentages against SETO targets, SEAL tariffs, and the Gemasolar plant. …”
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  18. 178

    Advancing Real-Time Food Inspection: An Improved YOLOv10-Based Lightweight Algorithm for Detecting Tilapia Fillet Residues by Zihao Su, Shuqi Tang, Nan Zhong

    Published 2025-05-01
    “…The model demonstrates the best overall performance among many mainstream detection algorithms with a small model size (3.3 MB), a high frame rate (77FPS), and an excellent <i>mAP</i> (0.942). It is able to complete the task of tilapia fillet residues detection with low cost, high efficiency, and high accuracy, thus effectively improving the product quality and production efficiency of tilapia fillets.…”
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