Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…Fluctuations within the range better solve the problem of sensitivity to the initial value. Experiments have proved that the new objective function can significantly improve the separation performance of neural networks. …”
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Mapping the conceptual structure of entrepreneurship knowledge in Iran: A co-word Analysis by Hamid Ahmadi, Mahdi Husseinpour

“…Furthermore, the concepts of "organizational entrepreneurship, innovation, rural entrepreneurship, entrepreneurship development, and entrepreneurship education" exhibit a robust and high-density network.Conclusion: Solving societal problems relies on the development of new energy solutions through an entrepreneurial approach. …”
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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms by Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed

“…Coffee leaf rust is a severe problem that reduces productivity. Currently, pesticide spraying is considered the most effective solution for mitigating coffee leaf rust. …”
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Modelling car motion and the calculation of the wear of wheels with the VNITsTT rolling surface profile by A. M. Orlova, Yu. V. Savushkina, V. I. Fedorova

“…As part of the study, calculations were carried out using the method of mathematical modeling of a freight car motion in the MEDYNA software package and performance indicators were evaluated on the VNITsTT rolling surface profile in comparison with the profile made according to GOST 10791 – 2011, and the wheel wear rate produced on the section of the track close to the average network operating conditions. Additionally, critical speed of the sinuous motion of the car was evaluated, which showed that despite the increased equivalent taper, the critical speed remained almost unchanged (an increase of 6 %). …”
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High Spatial Resolution in Total Water Storage Variations Inferred From GPS: Case Study in the Great Lakes Watershed, US by Shuo Zheng, Zizhan Zhang, Bridget R. Scanlon, Haoming Yan, Alexander Y. Sun, Ashraf Rateb, Yan Li

“…The results show that the regional dense continuous GPS observation network can successfully resolve TWS on land at monthly timescales with 30–45 km spatial resolution. …”
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Study of Distribution of Free Flow Speeds on Urban Road Sections Depending on Their Functional Purpose and One-Way Traffic—Evidence from Kharkiv (Ukraine) by Oleksandr Riabushenko, Grzegorz Sierpiński, Viktor Bogomolov, Ivan Nahliuk, Dmytro Leontiev

“…The results of this study can be useful for traffic modeling problems.…”
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Basketball robot object detection and distance measurement based on ROS and IBN-YOLOv5s algorithms. by Jirong Zeng, Jingjing Fu

“…In the detection of basketball, volleyball, and calibration columns, the average classification accuracy of the improved model was 95.87%, and the average calibration box accuracy was 97.05%. …”
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…At last, our method was compared with existing Space2BVec and Buffer2BVec in terms of location prediction accuracy and to demonstrate the robustness of the binary vector encoding methods, two brain-inspired artificial neural networks— HTM and BinaryLSTM were used. The result showed that, for HTM, in smaller geospatial space the PlaceField2BVec and Buffer2BVec had about the same accuracy on average but the highest accuracy of PlaceField2BVec is 100 %; when the geospatial space extended, our method had the highest accuracy and the average accuracy of PlaceField2BVec, Space2BVec, and Buffer2BVec is 83.9 %, 25.2 % and 69.7 % after 20 times’ training. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

“…Our model designs RFB module with wider receptive field in the network layer, which effectively suppresses the noise interference around the disease and extracts more disease features from the original radar data; in addition, the detailed texture features of different types of diseases are captured by fusing the shallow features of the model network, which realizes the classification and localization of different types of diseases; and the attention mechanism of spatial channel is introduced to enhance the feature expression ability and improve the generalization ability of the model. …”
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Traffic sign detection method based on improved YOLOv8 by Gaihua Wang, Peng Jin, Zhiwei Qi, Xiaohuan Li

“…Aiming at the current traffic sign detection problems of leakage, misdetection and low detection accuracy of small targets, a traffic sign detection method based on improved YOLOv8n is proposed. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community. …”
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Unveiling innovation imperatives in agriculture: A data-driven framework for identifying latent needs and regional priorities by Andrea Bonfiglio

“…The results highlight the existence of widespread critical issues in Italian agriculture. These problems primarily concern the efficient use of water, whose costs, relative to revenue, exceed, on average, around 40 %, and greenhouse horticulture, which shows an increased criticality level in terms of sustainability of over 50 %. …”
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Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM by Nicholas Niako, Jesus D. Melgarejo, Gladys E. Maestre, Kristina P. Vatcheva

“…We evaluated the prediction performance of autoregressive integrated moving average (ARIMA) and long short-term memory (LSTM) network models on imputed time series data using ten different imputation techniques. …”
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Interval combined prediction of mine tunnel's air volume considering multiple influencing factors. by Zhen Wang, Erkan Topal, Liangshan Shao, Chen Yang

“…The tunnel air volume and influencing factors are then input into different neural networks for air volume prediction. To further improve prediction accuracy, the predicted values of wind volume intervals from the single prediction method are transformed into triangular fuzzy numbers, and the generalized induced ordered weighted average operator is introduced for the combination of prediction results. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…The LSTM model, with its architecture of three consecutive LSTM layers, was able to demonstrate the best performance across all evaluation metrics on average over the 10 training runs. LSTM networks are designed to handle long time dependencies well. …”
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Fuzzy Guiding of Roulette Selection in Evolutionary Algorithms by Krzysztof Pytel

“…The algorithm can be an effective tool in solving a wide range of optimization problems, for example, optimization of computer network infrastructure.…”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. …”
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It Is Better to Be Semi-Regular When You Have a Low Degree by Theodore Kolokolnikov

“…Finally, we construct a small-world-type network of an average degree of 2.5 with relatively high algebraic connectivity. …”
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CHAMBER OF COMMERCE AND INDUSTRY OF THE RUSSIAN FEDERATION AS A SUBJECT OF DEVELOPMENT OF THE SYSTEM OF VOCATIONAL EDUCATION AND TRAINING OF BUSINESS PERSONNEL by V. I. Grishin, V. A. Zhidkikh, E. V. Shubenkova

“…The special place in this interaction and in activity of Chamber of Commerce and Industry of the Russian Federation is allocated to financial education of subjects of small and average business in view of the low level of financial literacy of businessmen and to his lag on value from average indicators of the countries of OECD. …”
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