Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…The Yalong River Basin, characterized by complex hydrological processes and diverse climatic influences, serves as the case study for model validation. …”
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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.…”
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Comportamiento parabólico del crecimiento de capas boradas en los aceros Y8A y X12M // Parabolic behavior of boriding layers growth in Y8A and X12M steels by C. Figueroa Hernández, E. Cañete Cisnero, M. Hurtado Ferrer

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Risk Analysis Using Geographic Information Systems by Determining the Factors Affecting Yield in Plant Production: A case study from Ankara, Turkey by Aydın Şık, Emre Yeniay

“…Applying the Analytical Hierarchy Process (AHP), which is one of the multi-criteria decision-making methods, the total risk value is calculated by prioritizing the risk factors. …”
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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%.…”
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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. …”
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Enhanced twitter sentiment analysis with dual joint classifier integrating RoBERTa and BERT architectures by Luoyao He

“…This study introduces the Dual Joint Classifier (DJC), which integrates the strengths of RoBERTa and BERT architectures. The DJC model leverages Bidirectional Gated Recurrent Units (BiGRU) and Bidirectional Long Short-Term Memory (BiLSTM) layers to capture complex sequential dependencies and nuanced sentiment expressions. …”
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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). …”
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Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

“…This technique employs YOLOv8s as the base model and proposes a multi-frame processing (MFP) method (YOLO-MFP). …”
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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. …”
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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

“…Steel production significantly contributes to global CO2 emissions, demanding simultaneous optimization of product quality and environmental performance. Current prediction models address steel purity and carbon capture separately, missing opportunities for integrated process optimization. …”
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Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network by Vibhor Kumar Vishnoi, Krishan Kumar, Brajesh Kumar, Shashank Mohan, Arfat Ahmad Khan

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A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques by Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq

“…Subsequently, a hybrid deep learning model, comprising bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), and a fully connected layer is trained using the clean data. …”
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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). …”
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A detailed investigation of induced residual stresses in the laser powder bed fusion process using the modified inherent strain approach and experimental measurements by Marjan Molavi-Zarandi, Ali Bonakdar, Hossein Mohammadtaheri, Mehran Bagheri, Ramin Sedaghati

“…In this work, a multiscale finite element model is proposed to simulate the Laser Powder Bed Fusion (LPBF) process, employing the Modified Inherent Strain (MIS) methodology. …”
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Frequency-Modulated Antipodal Chaos Shift Keying Chaotic Communication on Field Program Gate Array: Prototype Design and Performance Insights by Filips Capligns, Ruslans Babajans, Darja Cirjulina, Deniss Kolosovs, Anna Litvinenko

“…The employment of FM over a chaotic modulation layer provides a passband operation (currently at an intermediate frequency of 10.7 MHz) while adding the benefits of carrier frequency offset robustness and constant signal envelope. …”
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Mathematical modeling of heat transfer in a closed two- phase thermosyphon by V. I. Maksimov, A. Е. Nurpeiis

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Analysis of Effects of Drill Collars on the Voltage of Electromagnetic Wave Logging While Drilling by GUO Tongzheng

“…By using a cylindrical layered medium model, the characteristics of coil voltage changing with borehole mud and formation parameters can be simulated, and the effects of drill collars on voltage can be analyzed. …”
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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

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

“…The cecal epithelium was mechanically removed, preserving the integrity of the submucosal layer. Caco-2 CRC cells were subsequently inoculated onto the epithelium-depleted surface of the cecum to reproduce the development of CRC within the epithelial layer. …”
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