Intelligent Sensor Software for Robust and Energy-Sustainable Decision-Making in Welding of Steel Reinforcement for Concrete by Javier Ferreiro-Cabello, Francisco Javier Martinez-de-Pison, Esteban Fraile-Garcia, Alpha Pernia-Espinoza, Jose Divasón

“…By creating robust machine learning models trained on limited datasets, the system generates interactive heat maps that provide real-time guidance to production engineers or intelligent systems, enabling dynamic adaptation to changing conditions and external factors such as fluctuating energy costs. …”
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A practical tool to assess regenerative approaches in food businesses by Bruna L. Amante, Max Yamauchi Levy, Daniel Borrero, Guillermo Detlefsen, Pablo Vagliente

“…The tool proved adaptable, effective, and cost-efficient for gathering data across the food system, including agricultural production, forest food gathering, or commercial processing. …”
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How artificial intelligence can enable data classification for market sizing - Insights from applications in practice by L. Stallings, P. Bhat, J. Jacobs, K. Lynch, Q. Risch

“…This approach automates the tagging of market and market segment for each program and cost element by training classification models on the manually labeled historical data. …”
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ELD-YOLO: A Lightweight Framework for Detecting Occluded Mandarin Fruits in Plant Research by Xianyao Wang, Yutong Huang, Siyu Wei, Weize Xu, Xiangsen Zhu, Jiong Mu, Xiaoyan Chen

“…Our method incorporates edge-aware processing to strengthen feature representation, introduces a streamlined detection head that balances accuracy with computational cost, and employs an adaptive upsampling strategy to minimize information loss during feature scaling. …”
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DETECTION AND CLASSIFICATION OF VEGETATION AREAS FROM RED AND NEAR INFRARED BANDS OF LANDSAT-8 OPTICAL SATELLITE IMAGE by Anusha NALLAPAREDDY

“…Remote sensing technology makes it possible to analyze vegetation cover across wide areas in a cost-effective manner. Using remotely sensed images, the mapping of vegetation requires a number of factors, techniques, and methodologies. …”
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GeoRF: Geometric Constrained RaDAR Fields by Wenbo Sheng, Haoran Liu, Kenan Fan, Pengxiang Su

“…It facilitates stable perception in adverse weather conditions and complex lighting environments, in addition to featuring low cost and high data-processing efficiency. The realization of Novel view synthesis (NVS) for 4D radar is of significant practical importance. …”
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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…FTA-Net outperforms state-of-the-art methods on three challenging CD datasets, and it have fewer parameters (4.93M) and lower computational cost (6.71 G).…”
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A band selection method for consumer-grade camera modification for UAV-based rapeseed growth monitoring by Chufeng Wang, Jian Zhang, Hao Wu, Bin Liu, Botao Wang, Yunhao You, Zuojun Tan, Jing Xie, Liangzhi You, Junqiang Zhang, Ping Wen

“…Near-infrared (NIR) modification of low-cost cameras is considered an important method to acquire high-resolution NIR images on an unmanned aerial vehicle (UAV) platform. …”
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Site selection for seaweed culture at Gerupuk Bay - West Nusa Tenggara using remote sensing and GIS by Kukuh Nirmala, Arlina Ratnasari, Syarif Budiman

“…Each parameters were processed using Er Mapper 7.0 software and then Arcview GIS 3.2 software to create the thematic GIS map. …”
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Application of LiDAR and SLAM Technologies in Autonomous Systems for Precision Grapevine Pruning and Harvesting by Obaid Saif, Mohammed G., Nagaraju Krishna Chythanya

“…The project aims to integrate advanced technologies in grapevine pruning and harvesting to optimize these processes. The system improves accuracy and speed, reducing labor costs while enhancing grape yield and quality, representing a promising approach to vineyard management. …”
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Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

“…Deep learning approaches, based on data-driven principles, enable accurate input–output approximation and batch processing of large-scale datasets, significantly reducing computation time and cost. …”
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Fusion-Based Damage Segmentation for Multimodal Building Façade Images from an End-to-End Perspective by Pujin Wang, Jiehui Wang, Qiong Liu, Lin Fang, Jie Xiao

“…For damage detection, a relatively high mean average precision (mAP) result of 85.4% is achieved by comparing four instance segmentation models, affirming the effective utilization of IVIF results.…”
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Surface Clay and Mineral Exploration Using Hyperspectral Imaging: Advanced Techniques for Geospatial Analysis by S. Raut, N. Andure, A. Kadam, A. Dongare, A. Fulari, G. M. Sayyad, S. B. Sayyad, S. K. Shaikh, S. Sawant

“…This methodology offers a scalable, cost-effective, and highly reliable solution for mineral exploration, particularly for identifying surface clay minerals and other mineral resources in geologically complex regions such as Udaipur. …”
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Building Diagnostics Options for Existing Buildings – Innovative Methods by Zsolt Szurös, Rita Rebeka Ordog, Kitti Ajtayné Károlyfi, Dóra Szalai, Ádám Bukovics

“…The evaluation of the three damage detection methodologies (Geometrical features, Color and intensity information, Combined Method) highlights their complexity, technological requirements, cost, practical applicability, and accuracy. During the analysis, the goal is to map and systematize innovative methods supported by digital tools for diagnostic tasks in existing buildings.…”
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Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images by Shukuan Liu, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Feiyu Teng, Xiangnan Liu

“…Moreover, ConvNeXt-U outperforms other methods in processing the boundaries of fragmented cropland, producing clearer and more complete boundaries. …”
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AI-optimized electrochemical aptasensors for stable, reproducible detection of neurodegenerative diseases, cancer, and coronavirus by Amira Elsir Tayfour Ahmed, Th.S. Dhahi, Tahani A. Attia, Fawzia Awad Elhassan Ali, Mohamed Elshaikh Elobaid, Tijjani Adam, Subash C.B. Gopinath

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Flood hazard zones using 2d hydrodynamic modeling and remote sensing approaches by M.B.T. Alivio, G.R. Puno, B.A.M. Talisay

“…Flood hazard zone areas could be mapped at an accuracy of 79.51%. Thus, harnessing this potential approach offers cost-effective way of flood preparedness viewing hazard-prone areas with special attention and utmost importance.…”
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Non-Destructive Detection of Fillet Fish Quality Using MQ135 Gas Sensor and Neutrosophic Logic-Enhanced System by M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

“…Both fuzzy logic and ANFIS proved effective for predicting fish quality. Image processing techniques, including histogram analysis, color mapping, and edge detection, were also applied to assess fish quality. …”
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YOLOv10-kiwi: a YOLOv10-based lightweight kiwifruit detection model in trellised orchards by Jie Ren, Wendong Wang, Yuan Tian, Jinrong He

“…This replacement enables parallel processing and enhances feature extraction efficiency. …”
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Performance Analysis of FGO Windowing Strategies for PDR+GNSS Fusion Architecture by Amjad Hussain Magsi, Luis Enrique Diez Blanco

“…While FGO has also gained popularity in Simultaneous Localization and Mapping (SLAM) applications, its reliance on batch data processing, referred to as Batch Factor Graph Optimization (BFGO) and which is used as the baseline for this study, results in significant computational overhead, making it impractical for real-time or resource-constrained scenarios. …”
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