Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…To enhance feature extraction efficiency, an improved DenseNet model (SE-MPDenseNet) was developed by incorporating multi-feature parallel dense blocks (MP-DenseBlock) and squeeze-and-excitation transition layers (SE-TransLayer). …”
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Numerical simulation of the effect of installation height on self-priming performance of a prototype self-priming pump by Ying-Yu Ji, Shao-Han Zheng, Yu-Liang Zhang, Kai-Yuan Zhang, Zu-Chao Zhu

“…Based on the Volume of Fluid (VOF) multiphase flow model, numerical simulations of the complete self-priming process were conducted for two different installation heights, focusing on gas-liquid two-phase flow. …”
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Towards an automatized and objective assessment of data from visual inspections of building envelopes by Jan Mandinec, Pär Johansson

“…The first step requires establishing reliable and objective based data collection. These could be efficiently collected by Unmanned Aerial Vehicles (UAV) with subsequent image recognition algorithms allowing the identification of imperfections and store the position and extent of such deviations into the building’s digital assessment database. …”
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Flow Control of Tractor Multi-Channel Hydraulic Tester Based on AMESim and PSO-Optimized Fuzzy-PID by Qinglun Li, Xuefeng Bai, Yang Lu, Xiaoting Deng, Zhixiong Lu

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Spatial and Temporal Pattern Analysis of Land Use in Yangtze River Delta Based on Remote Sensing and GIS in Intelligent Environment by Hongbing Hu, Linyuan Wu, Yulan Zhan, Shuhui Zhang

“…Whether the land is effectively and efficiently used is not only related to the income level of the people in the surrounding cities but also closely related to the local economy and national economy. …”
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Artificial Intelligence in Dermatology: A Review of Methods, Clinical Applications, and Perspectives by Agnieszka M. Zbrzezny, Tomasz Krzywicki

“…Further demonstration is provided regarding how AI is a valuable tool that supports dermatologists by automatically analysing skin images, enabling faster diagnosis and the more accurate identification of skin lesions. These advances enhance the precision and efficiency of dermatological care, showcasing the potential of AI to revolutionise the speed of diagnosis in modern dermatology, sparking excitement and curiosity. …”
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Circularity of small WEEE in Australia: Insights from consumers and repairers by Gimhan Jayasiri, Sunil Herat, Prasad Kaparaju

“…According to the logit models, it is evident that awareness campaigns should be prioritized across all educational levels in Australia. …”
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Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN by Tahira Nazir, Aun Irtaza, Valery Starovoitov

“…Finally, the calculated features are used to localize and segment the OD and OC by the custom Mask-RCNN model. For performance evaluation, we have used the ORIGA dataset that is publicly available. …”
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Deep learning for air pollution detection: Analyzing scots pine needles with SEM/EDS by Mirosław Szwed, Witold Żukowski, Dariusz Pasieka

“…What was used to build the model, were scanning electron microscopy images of two-year-old needles of Pinus sylvestris L. …”
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Accounting of expenses for excavation work in the extraction of minerals: normative regulation by N.G., T.P., L.V.

“…It has been found that one of the methods of reducing the cost of overburden works is to increase the efficiency of fixed assets in all business processes of overburden works, which requires periodic control of their technical condition to ensure the achievement of the expected capacity of mineral extraction and timely identification of the need for repairs to maintain them in working order. …”
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Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning by Intissar Dhrari Hajsalem, Yassine Ben Ayed

“…Five datasets, such as CRC-VAL-HE-7K, CRC-VAL-HE-100K, Kvasir_v2, a dataset from Beijing Cancer Hospital, and a weakly labeled dataset, containing histology and endoscopic images, were utilized to train and evaluate our method.ResultsThe outcomes showed the effectiveness of our approach, with these pretrained models obtaining the best efficiency for recognizing gastrointestinal polyps. …”
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A novel framework to identify delamination location/size in BFRP pipe based on convolutional neural network (CNN) algorithm hybrid with capacitive sensors by Wael A. Altabey

“…The training accuracy of the current technology (P%), recall rate (R%), and F-score (F%) are equal to 95.2%, 93.7%, and 90.9% respectively, which indicates that the current technology shows identification efficiency and accuracy of the technology. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

“…Finally, the hidden Markov model (HMM) is used to simulate the experimental data. …”
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ENVIRONMENTAL SECURITY STRUCTURE FORMING THE GROUNDWORK FOR A TERRITORIAL ENVIRONMENTAL PASSPORT by A. L. Bolsherotov

“…The study is based on the development of a sound model of integrated environmental safety in construction projects and a methodology for calculating its indicators, in particular, the indicator of “degree of concentration”. …”
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Analysis of Vibration Characteristics of the Grading Belt in Wolfberry Sorting Machines by Yang Yu, Zhiwei Su, Junhao Zhang, Jinglong Li, Wu Qin

“…The vibration of the belt drive system in fresh wolfberry sorting machines significantly impacts the sorting efficiency of wolfberries. To analyze the vibration changes induced by the belt drive, a simulation model was developed using multi-body dynamics software, Recur Dyn. …”
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AIR Agent—A GPT-Based Subway Construction Accident Investigation Report Analysis Chatbot by Lin Zhang, Yanan Hou, Fei Ren

“…This study aims to use Generative Pre-trained Transformer (GPT) models for the automated analysis of subway construction accident investigation reports, with the goal of improving the efficiency of accident identification and analysis. …”
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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detection, forest monitoring and crop type identification, among others. …”
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Optimising Solar Power Plant Reliability Using Neural Networks for Fault Detection and Diagnosis by Mohammed Bouzidi, Abdelfatah Nasri, Omar Ouledali, Messaoud Hamouda

“…The main goal is to improve energy efficiency and bolster the reliability of solar power plants by forecasting their performance through real-time data analysis and modelling essential operational variables. …”
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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…Using productivity as a standard is useful for calculating efficiency, and can guide efforts to allocate resources optimally. …”
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Uncertainty and sensibility analysis of reactivity insertion transient accident of a 150 MWt molten salt reactor (SM-MSR) by WANG Kai, WANG Chaoqun, YANG Qun, HE Zhaozhong, WANG Naxiu

“…Reactivity insertion transient accident represents a type of hypothetical accidents of SM-MSR, and the study of reactivity insertion transient accident can offer useful information to improve physics thermohydraulic and structure designs.PurposeThis study aims to investigate the uncertainty and sensibility of MSR reactivity insertion accident and provide supports for the design and safety analysis of the small modular molten salt reactor.MethodsRELAP5-TMSR code was employed to establish a transient behavior analysis model for SM-MSR, and the model consisted of four coupled parts, including the primary circuit, 2nd circuit, air cooling system modules and passive residual heat removal system. …”
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