Evaluating Land use Mixed-ness on Street Level through Spatial Analyses and Gini Method by Hamid Motieyan, Mohammad Azmoodeh

“…The increasing use of motor vehicles is one of the consequences of urbanization, which in addition to problems such as traffic and air pollution, will reduce the physical activity of residents and affect the general health of society. …”
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Production and molecular identification of polyploids from Bendizao tangerine in Huangyan by ZHANG Chenglei, XIA Zewen, XU Xinyan, LIU Gaoping, PAN Liqin, WU Xiaomeng, GUO Wenwu, XIE Kaidong

“…However, due to long-term asexual propagation, problems such as the decline in yield and quality have emerged in recent years. …”
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Enhanced Projection Method for the Solution of the System of Nonlinear Equations Under a More General Assumption than Pseudo-Monotonicity and Lipschitz Continuity by Kanikar Muangchoo, Auwal Bala Abubakar

“…The comparison was based on the iteration number required for each algorithm to solve a particular problem and the time taken. Some benchmark test problems, which included monotone and pseudo-monotone problems, were considered for the experiments. …”
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MEDICO-BIOLOGICAL AND PSYCHOSOCIAL FACTORS OF RISK OF DEVELOPMENT OF ARTERIAL HYPERTENSION IN CHILDREN by L. S. Evert, M. Yu. Maslova, E. N. Vlasova, V. Yu. Vedeneeva, I. M. Mochalkina, A. V. Tokmantsev

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Application of seismic attributes in structural study and fracture analysis of DQ oil field, Iran by Shahoo Maleki, Hamid Reza Ramazi, Raoof Gholami, Farhad Sadeghzadeh

“…The determination of the most unstable areas in oil fields is critical for addressing engineering problems of wellbore and sand production as well as geologic problems such as understanding dynamic constraints on hydrocarbon migration and fracture permeability. …”
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Indoor dynamic environment lo calization algorithm based on transfer learning by Can LIU, Junna SHANG, Ruijiang LI, Keqiang YUE

“…The accuracy of the traditional indoor fingerprint lo calization system is limited bymany factors,such as the density of the reference location node in the fingerprint database and the characteristics of the indoor environment.When the indoor environment changes dynami cally,the RSS fluctuates,and usually does notmeet the assumption of the same distribution.Therefore,it was difficult to obtain high-precision requirements for conventional fingerprint positioningmethod.Aiming at the problem that the traditional algorithm couldn’t locate accurately,an algorithm based on the indoor fingerprint database was designed and implemented.The algorithm adopted the idea ofmigration learning to embed different data sets into the latent feature space,and the adverse effects of environmental changes on the system weremitigated.The simulation results show that the average positioning error of this algorithm is 1.23m.…”
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Kernel Neighborhood Rough Sets Model and Its Application by Kai Zeng, Siyuan Jing

“…Moreover, the model is used in the problem of feature selection. The proposed method is tested on the UCI datasets. …”
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Research on Personalized Recommender System Adapting to Different Business by Caixia Tao, Hai Yuan, Kang Chen, Anhua Ma

“…The rapid development of internet technology, especially the developed of Web 2.0 which has the main feature of personality, making a lot of information in front of people at the same time. …”
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Block cipher mode research based on identifier of text files by Tong-ming ZHANG, Jian-feng GUAN

“…The electronic code book(ECB)mode cannot conceal the data model of the plaintext and has only one private key to the whole plaintext.A block cipher mode based on identity for text files was proposed，which ab-sorbed the advantages of block cipher mode and the feature of plaintext string.A double Hash mapping structure was designed and one layer of the mapping structure maps the plaintext into discontinuous groups,another one which was based on the concept of identify library produced corresponding private key to the plaintext group.The model overcame the discontinuous group and single private key problem and effectively improved the security of the cipher text.The experiment results show that the new model has better security,flexibility and extensibility.…”
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基于卡尔曼滤波和数学形态学分形分析的齿轮箱故障诊断 by 刘志川, 唐力伟, 曹立军

“…Aiming at the problem that traditional signal time-frequency analysis methods are not suitable for non-stationary signal,by using gearbox time domain vibration signals to build AR model,least squares method to calculate model parameters,and AIC formula to ascertain model order,status space model is also built for Kalman filter.Mathematical morphology fractal dimension method is used for calculating signal fractal dimension after filtering.This method is used for signal analysis of normal gears,tooth surface abrasion,gear tooth crack and tooth fracture.The analysis results of measured signal show that the method based on Kalman filter and mathematical morphology can recognize gear fault types effectively,and it offers a new feature extract method for gearbox fault diagnosis.…”
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Locomotive Bearing Fault Diagnosis Using Empirical Wavelet Transform by Renjie XU

“…Aiming at the difficult problem of fault feature extraction in locomotive bearing fault diagnosis, the empirical wavelet transform (EWT) was introduced into locomotive bearing vibration signal analysis. …”
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Classification Using Artificial Neural Network of Knot Images on Wood by İbrahim Çetiner

“…Then, these features are classified with back propagation multilayer neural networks. …”
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Blockchain-based service publishing scheme with recommendation for cold start users by Xuewen DONG, Haozhe LIU, Hui QIAO, Jiawei ZHENG

“…In order to solve the problem that the existing publishing systems were vulnerable to tampering, and it was difficult to recommend service information to “cold start” users, a blockchain-based service publishing scheme that supported cold-start user recommendations was proposed.The latent feature mapping model of a single auxiliary domain was extended to two auxiliary domains to make more accurate recommendations for cold start users in the target domain.In addition, the microservice architecture and block technology were combined to ensure system scalability, reliability and security.The experimental results of three real data sets extracted from Amazon transaction data show that the proposed recommendation model is better than most other recommendation methods, and the service release information can be safely stored in the blockchain to ensure that it is not changed.…”
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Fault detection and diagnosis method for heterogeneous wireless network based on GAN by Xiaorong ZHU, Peipei ZHANG

“…Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.…”
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Intelligent Storage Data Classification System Based on the BP Neural Network by Minghui Li

“…In order to solve the problem of multifeature recognition and classification of many kinds of pests, this study puts forward a method of pest feature classification using the BP neural network. …”
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Leveraging multimodal large language model for multimodal sequential recommendation by Zhaoliang Wang, Baisong Liu, Weiming Huang, Tingting Hao, Huiqian Zhou, Yuxin Guo

“…Specifically, a novel multimodal feature fusion mechanism based on MLLMs is first established to generate unified semantic representations of items, which achieves semantic alignment between vision and text and effectively eliminates cross-modal differences and visual noise. …”
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Dans quelle mesure l’athéisme est-il inacceptable pour l’auteur du Theophrastus redivivus et pour Spinoza ? by Nicole Gengoux

“…The unacceptable (because unthinkable, and thus uncommunicable) feature of atheism provided an additional intellectual feature to its social one, which may explain why it was so vigorously rejected by both authors.…”
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Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

“…Oral squamous cell carcinoma (OSCC) continues to present a major worldwide healthcare problem because patients have poor survival outcomes alongside frequent disease returns. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Semantic-based image retrieval remains an open problem due to limitations in current artificial intelligence techniques. …”
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Toward Inclusive Smart Cities: Sound-Based Vehicle Diagnostics, Emergency Signal Recognition, and Beyond by Amr Rashed, Yousry Abdulazeem, Tamer Ahmed Farrag, Amna Bamaqa, Malik Almaliki, Mahmoud Badawy, Mostafa A. Elhosseini

“…Evaluations using both compact (52 features) and expanded (126 features) representations show that several classes (e.g., Engine Misfire, Fuel Pump Cartridge Fault, Radiator Fan Failure) achieve near-perfect accuracy, though acoustically similar classes like Universal Joint Failure, Knocking, and Pre-ignition Problem remain challenging. …”
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