Service model of smart tourism cities integrated with low-altitude technology by Luo Tian Yang

“…The model comprises the Core Technology Layer, Service Application Layer, and Governance and Collaboration Layer, each of which incorporates specific influencing factors, such as R&D investments, operational efficiency, and policy support. …”
Get full text

Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…The fused features, combined with those processed by the convolutional module, are fed into an attention layer. …”
Get full text

Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations. by J Galván Fraile, Franz Scherr, José J Ramasco, Anton Arkhipov, Wolfgang Maass, Claudio R Mirasso

“…In this study, our objective was to uncover the neural dynamics that govern V1 neurons' responses to visual flow perturbations using a biologically realistic computational model. By subjecting the model to sudden changes in visual input, we observed opposing cortical responses in excitatory layer 2/3 (L2/3) neurons, namely, depolarizing and hyperpolarizing responses. …”
Get full text

Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…In this model, Bi-GRU bidirectional gated recurrent unit and Attention attention mechanism are added between the U-net coding layer and the decoding layer. …”
Get full text

Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…However, these models have complex architectures that require powerful processing units to train while generating a large number of parameters and achieving slow detection speed on embedded devices. …”
Get full text

Model of property relations in the Soviet Lithuania village (Case of Stungiai village) by Žilvinas Kačiuška

“…The cultural and economical lag of Lithuania is often said to be caused by a mental gap, which was constructed by a model of collectivism and planned economy. Herewith, slowly changing categories in cognition impact reflections on market economy model and its mode of functioning.   …”
Get full text

Machine Learning Predictors for Min-Entropy Estimation by Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-Sánchez

“…Using data from generalized binary autoregressive models, a subset of Markov processes, we demonstrate that machine learning models (including a hybrid of convolutional and recurrent long short-term memory layers and the transformer-based GPT-2 model) outperform traditional NIST SP 800-90B predictors in certain scenarios. …”
Get full text

THERMOELECTRIC SYSTEM FOR EXTRACTION OF FOREIGN OBJECTS FROM HUMAN BODY by O. V. Evdulov, S. G. Magomedova, I. Sh. Mispahov, N. A. Nabiyev, A. M. Nasrulaev

“…A mathematical model of thermal power plants was developed, implemented on the basis of solving the problem of ice layer growth using the method of solving the non-stationary Fourier differential equation, presented in partial derivatives by reducing it to an equation with full derivatives based on the use of an extended version of the Lame-Clapeyron substitution, and power series, which describes the temperature distribution in the frozen ice layer and satisfies the boundary conditions of the problem.Result. …”
Get full text

SUBHORIZONTAL GEODYNAMIC ACTIVE ZONES AT THE PLATFORMS - METHODS OF IDENTIFICATION AND EVALUATION by V. M. Makeev, E. A. Karfidova, I. V. Korobova

Get full text

Information exchange model of multi control nodes in trustworthy and controllable network by WANG Peng, LUO Jun-zhou, LI Wei, ZHENG Xiao, QU Yan-sheng

“…A new model based on two-layer Chord was proposed to realize information exchange between multi control nodes in trustworthy and controllable network.It constructs the two-layer Chord by constructing Chord between control nodes in AS and between ASes respectively.It uses this two-layer Chord to generate a two-layer aggregation tree automatically in exchanging process,which is used to realize basic information communication services.It provides AS administrative isolation for security and availability by guaranteeing path convergence for the same information in AS,and improves efficiency of communication.Meanwhile,it guarantees load balance between control nodes.Experiments verify that IEM has good performance.…”
Get full text

Evidence classification method of chat text based on DSR and BGRU model by Yu ZHANG, Binglong LI, Xuejuan LI, Heyu ZHANG

“…It is always unlikely to efficiently identify and extract chat text evidence related to criminal events, due to the complex semantics such as “slang” in the chat content and the huge amount of chat text data generated by social software such as instant messaging.Based on this motivation, a chat text evidence classification model (DSR-BGRU) based on the DSR (dynamic semantic representation) model and the BGRU (bidirectional gated recurrent unit) model was proposed.The chat text data was pre-processed to preserve the characteristics of the criminal field.Then a multi-layer chat text feature extraction and classification model using the Keras framework was proposed.With the text matrix composed of vector representation of words in the DSR model as the input vector, the input layer of the DSR model featured the chat text from the semantic level.Then the hidden layer of the BGRU model extracted the context characteristics of the text composed of the word vectors.The softmax classification layer recognized and extracted the chat text evidence.The experimental results show that the proposed DSR-BGRU can more accurately identify and extract chat records compared with other models and methods for text classification, and it can also effectively extract the criminal text information from the chat information with the accuracy rate 92.06% and the F1 score 91.00%.…”
Get full text

Construction of a model of subsoil moisture movement in cultivated slope lands by Andrey A. Mikhaylin

“…Insufficient study of the dynamics of moisture movement both in the soil loosened by the tillage tool and in the zone of uncultivated subsoil wall in the conditions of moisture deficient south of Russia necessitated for development of a mathematical model of subsoil moisture transfer. A distinctive feature of this model is the study of moisture transfer in the zone of the upper soil layer of 0.60 m by the developed universal tillage tool for cultivating of sloping and plain lands. …”
Get full text

Leveraging Multi-Level Semantic Understanding in a Unified NER Model by Yuqian Zhao, Jiuchun Ren

“…To this end, we propose the MLSU (Multi-level Semantic Understanding) model for unified NER tasks. The overall architecture leverages an Encoder-Decoder structure that integrates sequence and grid-level semantic blocks, enhancing the model’s ability to process complex text structures effectively. …”
Get full text

Telecom Fraud Recognition Based on Large Language Model Neuron Selection by Lanlan Jiang, Cheng Zhang, Xingguo Qin, Ya Zhou, Guanglun Huang, Hui Li, Jun Li

“…In the realm of natural language processing (NLP), text classification constitutes a task of paramount significance for large language models (LLMs). …”
Get full text

Modelling and Dynamic Response of Steel Reticulated Shell under Blast Loading by Ximei Zhai, Yonghui Wang

“…The elaborate finite element model of the Kiewitt-8 single-layer reticulated shell with span of 40 m subjected to central blast loading was established and all the process from the detonation of the explosive charge to the demolition, including the propagation of the blast wave and its interaction with structure was reproduced. …”
Get full text

Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection by Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu B. Yergaliyeva, Aziz Alotaibi

“…The multi-layered clickbait detection is main phase of the proposed BDRNN that consists of three models: content-to-vector model (layer-1), deep neural network model(layer-2), and Blockchain-enabled malicious content detection model (layer-3). …”
Get full text

Mathematical modeling of heat transfer in a closed two- phase thermosyphon by V. I. Maksimov, A. Е. Nurpeiis

Get full text

Synthesis and application of MgCuAl-layered triple hydroxide/carboxylated carbon nanotubes/bentonite nanocomposite for the effective removal of lead from contaminated water by Usman M. Ismail, Ahmed I. Ibrahim, Sagheer A. Onaizi, Muhammad S. Vohra

“…A novel multicomponent adsorbent nano-composite was synthesized by intercalating bentonite clay and carboxylated carbon nanotubes (CNT-COOH) into MgCuAl-layered triple hydroxide (MgCuAl-LTH), abbreviated as LTH/CNT-COOH/Bent. …”
Get full text

Establishment of a novel mouse model of colorectal cancer by orthotopic transplantation by Cewen Chen, Qiaochu Fu, Lei Wang, Shinya Tanaka, Masamichi Imajo

“…The establishment of a reliable and pathologically relevant orthotopic model of CRC is crucial for gaining a deeper understanding of its molecular mechanisms and for developing more effective therapies. …”
Get full text

Mathematical model of denamic deformation of compacted elastic viscous plastic medium by S. V. Saveliev, V. V. Mikheev, A. S. Beloded

“…As the elements characterizing the rheological properties of such a medium, selected elements before it: Gooke, Newton and Saint-Venant. The model allows us to investigate the stress-strain state of the environment in the process of deformation of the entire thickness of up-lotnyaemogo layer. …”
Get full text