AIoT Monitoring for Early Identification of Diseases in Grapevines: Complete Study by Mihaela Hnatiuc, Domnica Alpetri, Sorin-Robertino Sintea, Bogdan Hnatiuc, Gabriel Margarit Raicu, Mirel Paun, Ionica Dina

“…Cloud computing facilitates data processing and real-time visualization, allowing farmers to make timely, data-driven decisions for disease control. …”
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Differences in uni-dimensional breathlessness measures and thresholds for clinical response in a randomised controlled trial in people with chronic breathlessness: an exploratory s... by David Currow, Magnus Ekström, Miriam Johnson, Sandra Louw, Philip McCloud, Katherine Clark, Diana Ferreira

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Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images by R. Raja Subramanian, R. Raja Sudharsan, Bavithra Vairamuthu, Deshinta Arrova Dewi

“…The proposed model (UlcerNet) was implemented on FogBus, the cloud framework to empirically evaluate the model performance in cloud-fog interoperable scenarios.…”
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Cross-modal unsupervised domain adaptation for 3D semantic segmentation via multi-scale fusion-then-distillation by Maomao Sun, Ting Rui, Jianqing Liu, Dong Wang, Chengsong Yang, Nan Zheng

“…It has become a research hotspot in 3D semantic segmentation, which requires a large amount of labor-intensive annotated point cloud data. Existing methods are mainly limited to cross-modal learning at the model output level and overlook the substantial 2D information loss caused by 3D-2D cross-modal mapping, which severely undermines the complementary advantages of multi-modality. …”
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State-of-the-Art Web Platforms for the Management and Sharing of Data: Applications, Uses, and Potentialities by Franco Spettu, Cristiana Achille, Francesco Fassi

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AlignFusionNet: Efficient Cross-Modal Alignment and Fusion for 3D Semantic Occupancy Prediction by Ziyi Xu, Legan Qi, Hongzhou Du, Jiaqi Yang, Zhenglin Chen

“…It effectively combines image and point cloud data to construct an occupancy network, thereby improving target detection and representation. …”
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DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow by Lang He, Shiyun Li, Junting Qiu, Chenhaomin Zhang

“…Feature points from moving objects can negatively impact the accuracy of Visual Simultaneous Localization and Mapping (VSLAM) algorithms, while detection or semantic segmentation-based VSLAM approaches often fail to accurately determine the true motion state of objects. …”
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Artificial Vision Systems for Mobility Impairment Detection: Integrating Synthetic Data, Ethical Considerations, and Real-World Applications by Santiago Felipe Luna-Romero, Mauren Abreu de Souza, Luis Serpa Andrade

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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…Subsequently, a deep learning-based reconstruction method, i.e., 3D Gaussian splatting (3D-GS), is utilized to construct 3D digitized traffic accident scenes from UAV-based image datasets collected in the traffic simulation environment. While visual rendering by 3D-GS struggles under adverse conditions like nighttime or rain, a clustering parameter stochastic optimization model and mixed-integer programming Bayesian optimization (MIPBO) algorithm are proposed to enhance the segmentation of large-scale 3D point clouds. …”
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3D-CWC: A Method to Evaluate the Geological Suitability for Layered Development and Utilization of Urban Underground Space by Jiamin Mo, Ling Zhu, Wei Liu, Ping Wen, Zhiqiang Xie, Rong Li, Chunhou Ji, Wei Cheng, Yangbin Zhang, Chaoya Chen, Qijia Yang, Junxiao Wang

“…This paper presents an innovative 3D-CWC framework, combining a weighted cloud model with three-dimensional geological modeling, to address vertical complexity and uncertainty in geological assessments. …”
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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

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Real-Time Drivable Region Mapping Using an RGB-D Sensor with Loop Closure Refinement and 3D Semantic Map-Merging by ChangWan Ha, DongHyun Yang, Gicheol Wang, Sung Chang Kim, HyungGi Jo

“…Drivable region maps, created using a visual sensor, are essential for autonomous navigation because off-the-shelf maps do not reflect contemporary real-world conditions. …”
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Truck Lifting Accident Detection Method Based on Improved PointNet++ for Container Terminals by Yang Shen, Xintai Man, Jiaqi Wang, Yujie Zhang, Chao Mi

“…This results in high-precision semantic segmentation and accident detection of critical structural point clouds, such as containers, truck chassis, and wheels. …”
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Textual Data Science for Logistics and Supply Chain Management by Horst Treiblmaier, Patrick Mair

“…<i>Results</i>: Word clouds show the most frequent words in a body of text. …”
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The Distance to the Magellanic Stream: Constraints from Optical Absorption along Stellar Sight Lines by Sapna Mishra, Andrew J. Fox, J. V. Smoker, Scott Lucchini, Elena D’Onghia

“…The Magellanic Stream is a large tail of neutral and ionized gas originating from tidal and hydrodynamical interactions between the Magellanic Clouds as they orbit the Milky Way (MW). It carries a significant gas reservoir that could impact the future evolution of the MW. …”
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Study on Multiobjective Path Optimization of Plant Protection Robots Based on Improved ACO‐DWA Algorithm by Jing Niu, Chuanyan Shen, Lipeng Zhang, Guanghao Gao, Jiahao Zheng

“…First, the orchard environment information was acquired by laser radar, and the voxel method was used to reduce the point cloud density of orchard ground. The grid method was used to segment the point clouds. …”
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Adaptive Reversible Data Hiding Scheme Based on Novel Cascading Prediction Error Histogram Shifting Using Decimal Floating Stream by Reza Ghorbandost Soveiri, Maryam Rajabzadeh Asaar, Pouya Derakhshan Barjoei

“… Today, with the development of processing technologies and improvement in cloud networks, a large number of photos are transferred in networks. …”
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LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis by Rafael Muñoz-Salinas, Jianheng Liu, Francisco J. Romero-Ramirez, Manuel J. Marín-Jiménez, Fu Zhang

“…The core of our approach is a render-and-match pipeline that synthesizes photorealistic views from a dense LiDAR point cloud. By detecting and matching keypoints between these synthetic images and the live camera feed, we establish reliable 3D–2D correspondences for accurate pose estimation. …”
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Deep Learning-Based Detection and Digital Twin Implementation of Beak Deformities in Caged Layer Chickens by Hengtai Li, Hongfei Chen, Jinlin Liu, Qiuhong Zhang, Tao Liu, Xinyu Zhang, Yuhua Li, Yan Qian, Xiuguo Zou

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Optimization of a Dense Mapping Algorithm with Enhanced Point-Line Features for Open-Pit Mining Environments by Yuanbin Xiao, Bing Li, Wubin Xu, Weixin Zhou, Bo Xu, Hanwen Zhang

“…The algorithm generates high-precision dense point cloud maps and uses an octree structure for efficient 3D spatial representation. …”
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