Digital Track Map for the VEXA expert system by Adam Hlubuček

“…Being created in the ArcGIS Pro software environment, the digital map allows individual objects to be visualized and handled as standard GIS features and described by related data stored in a geodatabase. …”
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Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models by Shuo Li, Mehrdad Yaghoobi

“…However, these images can be affected by various sources of noise, distortions, or data loss, which can significantly degrade their quality and usefulness. …”
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Peculiarities of clinical manifestations of opisthorchosis papillitis by S. V. Onishchenko, V. V. Darvin

“…Features of diagnostics were based on analysis of medical data of 384 patients with opisthorchosis papillitis. …”
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Enhancing brand experience and brand authenticity: The role of octomodal mental imagery and social presence. by Min Li, Wonjun Chung

“…The research employed online questionnaire surveys and data collection via Sojump, resulting in 428 valid responses. …”
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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…With the rapid development of autonomous driving technologies, including sensors, data processing, visual perception, vehicle control, decision making, and artificial intelligence, achieving fully automated Level-5 autonomous driving has become a critical direction for the future of the automotive industry. …”
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CPT: Colorful Prompt Tuning for pre-trained vision-language models by Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

“…However, we note that there exists a significant gap between the objective forms of model pre-training and fine-tuning, resulting in a need for large amounts of labeled data to stimulate the visual grounding capability of VLP models for downstream tasks. …”
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Comparing infrared imagery to traditional methods for estimating ringed seal density by Brent G. Young, David J. Yurkowski, J. Blair Dunn, Steven H. Ferguson

“…Results from strip‐transect analysis of infrared observations were compared with results from strip‐transect analysis of direct visual observations and results from line‐transect analysis of a combined data set of infrared and direct visual observations. …”
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Outcome of Cataract Surgery from Outreach Eye Camp by Suraj Senjan, Praveen Vashist, Sumit Malhotra

“…Data were entered in Microsoft excel and analyzed descriptively. …”
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Comparisons of Faulting-Based Pavement Performance Prediction Models by Weina Wang, Yu Qin, Xiaofei Li, Di Wang, Huiqiang Chen

“…It is found that MNLR model needs further recalibration, while the ANN model needs more data for training the network. MC model seems a good tool for pavement performance prediction when the data is limited, but it is based on visual inspections and not explicitly related to quantitative physical parameters. …”
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Mental health impact of a large-scale industrial fire on exposed residents in France: the post fire 76 health survey by Anne-Laure Perrine, Gaëlle Pédrono, Pauline Morel, Pascal Empereur-Bissonnet, Jean-Baptiste Richard, Franck Golliot, Abdelkrim Zeghnoun, Myriam Blanchard, Abdessatar Saoudi, Emmanuelle Le Lay, Maria El Haddad, Yvon Motreff

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Bibliometric Web of Science and Google Trends analysis of multi-criteria decision analysis within the built environment by Kyle Abbott Smith, Rubayet Bin Mostafiz, Carol Friedland, Isabelina Nahmens

“…The results include Biblioshiny visualizations for MCDA methods studied within built environment academic papers and findings related to tool associations via key clusters, such as GIS and drone based data collection tool usage, in concert with MCDA methods. …”
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Rhodiola Rosea: a plant from the Crassulaceae family that has the potential to reduce muscle pain and increase range of motion during exercise-induced muscle damage by Novadri Ayubi, Anton Komaini, Mohammed Aljunaid, Procopio B. Dafun Jr., Ilham Ilham, Deby Tri Mario

“…On the 3rd day or 48 hours after training, post-test data was collected again. Muscle intensity was measured using a Visual Analog Scale (VAS) and ROM was measured at the knee joint using a goniometer. …”
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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation by James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman

“…Our best performing model (3D CNN) had the highest pixel‐wise accuracy (F1 = 0.71) when validated on 2020 forest loss (2014–2019 training). Visual interpretation of the mapped forecasts indicated that the network could automatically discern the drivers of forest loss from the input data. …”
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AUTOMATED TECHNOLOGY OF MEASUREMENT OF PHYSIOLOGICAL PARAMETERS OF FARM ANIMALS by Victor Shigimaga, Natalia Kosulina, Mariya Chorna, Vitaly Sukhin, Stanislav Kosulin, Kostiantyn Korshunov, Yaroslav Yevsyukov

“…The primary goal of these technologies is to enhance the accuracy and efficiency of health monitoring and to optimize livestock management through continuous data collection and analysis. Key technological solutions include the use of wireless data transmission systems, radio monitoring devices, and unmanned aerial vehicles (UAVs). …”
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Implementing an AI-Based Digital Twin Analysis System for Real-Time Decision Support in a Custom-Made Sportswear SME by Tõnis Raamets, Kristo Karjust, Jüri Majak, Aigar Hermaste

“…The solution integrates real-time production data collection using the Digital Manufacturing Support Application (DIMUSA); data processing and control; clustering-based data analysis; and virtual simulation for evaluating improvement scenarios. …”
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SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images by Bo Zhao, Panpan Tang, Xiaoyan Luo, Linze Li, Shi Bai

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Integrating genomics & AI for precision crop monitoring and adaptive stress management by Rajesh Polegopu, Satya Sumanth Vanapalli, Sashi Vardhan Vanapalli, Naga Prudvi Diyya, Mounika Vandila, Divya Valluri, Anjali Peddinti, Sowjanya Saladi, Meghana Pyla, Padmini Gelli

“…A BERT-based model processes genomic data, while computer vision identifies visual stress indicators like wilting and discoloration. …”
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Safety and efficacy of stromal lenticule addition keratoplasty in the treatment of hyperopia: a retrospective study by Jing Zhang, Fangfang Sun, Jie Hou, Yulin Lei, Yahui Dong, Yafei Xu

“…Results Significant differences were observed in near vision (P < 0.001), uncorrected visual acuity (UCVA) (P < 0.001), and SE (P < 0.001) compared to pre-surgical data. …”
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PARAMETERS OF BLINK REFLEX AND EVOKED BRAIN POTENTIALS ON ESTIMATION OF REPETITIVE TRANSCRANIAL MAGNETIC STIMULATION EFFECTIVITY AT EPILEPSY by O. V. Kistsen

“…Data of Blink Reflex parameters on dependence from epileptic process activity were given. …”
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