Large-Language-Model-Enabled Text Semantic Communication Systems by Zhenyi Wang, Li Zou, Shengyun Wei, Kai Li, Feifan Liao, Haibo Mi, Rongxuan Lai

“…Large language models (LLMs) have recently demonstrated state-of-the-art performance in various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely with the core principles of semantic communication Inspired by LLMs’ advancements in semantic processing, we propose LLM-SC, an innovative LLM-enabled semantic communication system framework which applies LLMs directly to the physical layer coding and decoding for the first time. …”
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An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

“…We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. …”
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New method of text representation model based on neural network by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

“…Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors was obtained further from these extracted word-embeddings by using Bi-LSTM recurrent neural network.Finally,the sentence vectors were processed by mean-pooling layer and text categorization was classified by softmax layer.The training effects and extraction performance of the combination model of Bi-LSTM and double word-embedding neural network were verified.The experimental results show that this model not only performs well in dealing with the high-quality text feature vector and the expression sequence,but also significantly outperforms other three kinds of neural networks,which includes LSTM,LSTM+context window and Bi-LSTM.…”
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Compressed CNN Plant Leaf Ｒecognition Model Fused with Bayesian by YAN Ming, ZHU Liang-kuan, JING Wei-peng

“…Aiming at the problem that there are many parameters in the process of plant leaf recognition and it is easy to produce over-fitting，in order to reduce the cost of storage and calculation，this paper proposes a plant leaf recognition convolutional neural network model based on Bayesian fusion. …”
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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

“…First, a five-layer spectral normalization neural network was designed as the discriminator of the model. …”
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Advances in Experimentation and Numerical Modeling of Aluminum and Copper Ultrasonic Welding by Zhe Li, Shiying Wu, Huan Li

“…For Al/Cu joints, advancements in understanding the microstructure evolution, joint performance, and finite element modeling of the welding process have been systematically reviewed and summarized. …”
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Modeling of chronic generalized periodontitis in laboratory animals (literature review) by O. V. Kopchak, N. S. Marchenko, Ya. V. Yanishevska

“…Microscopically, this was manifested in the heterogeneity of the epithelial layer, the thickening of individual layers, the detachment of the epithelial lining of the mucosa. …”
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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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Modelling wire-arc-additive manufacturing for joining by forming applications by Viegas João M. A., Rosado Pedro M. S., Sampaio Rui F. V., Pragana João P. M., Bragança Ivo M. F., Silva Carlos M. A., Martins Paulo A. F.

“…The investigation employed finite element modelling to address material nonlinearities caused by heating and cooling cycles during the layer-by-layer material deposition process and accounted for the interchangeable boundary conditions caused by the newly activated mesh elements triggered by the moving heat source and the geometric nonlinearities resulting from thermal-induced distortions during material deposition and unclamping. …”
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Modeling the Impact of Fabrication Variabilities on the Performance of Silicon Avalanche Photodetectors by David Liu, Luca F. Errico, Matteo G. C. Alasio, Mike Zhu, Enrico Bellotti

“…The focus of this work is placed on the performance of CMOS-compatible lateral transport separate-absorber-multiplier APDs (SAM APDs) fabricated on an SOI layer. The FBMC material models are validated against experimental data for carrier velocities and impact ionization coefficients, in addition to the reported APD performance of a germanium-on-silicon (Ge-on-Si) separate-absorber-charge-multiplier APD (SACM APD). …”
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Ozone Flux Measurement and Modelling on Leaf/Shoot and Canopy Scale by Ludger Grünhage, Giacomo Gerosa

“…The most used are one-dimensional models in single-layer, dual-source or multi-layer version. …”
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MODELLING OF THE GAS DIFFUSION IN FLEXIBLE PIPELINES FOR OIL & GAS PRODUCTION by Marius STAN

“…This presentation describes a model used to study gas diffusion through layers of flexible pipes by time. …”
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Modeling AlGaN p-i-n photodiodes by N. N. Vorsin, A. A. Gladyshchu, T. L. Kushner, N. P. Tarasiuk, S. V. Chugunov, M. V. Borushko

“…Using the COMSOL MULTIPHYSICS software based on AlGaN, a p-i-n photodiode model was developed, including its I–V characteristic, spectral sensitivity of the received radiation, absorption coefficient as a function of the aluminum fraction and the depletion layer thickness. …”
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Cyber‐physical system model based on multi‐agent system by Maqbol Ahmed, Okba Kazar, Saad Harous

“…The research focuses on developing a CPS model, that encompasses nine layers: the physical agent, security agent, computation agent, decision‐making agent, control agent, communication agent, resilience agent, maintenance agent, and application agent layer. …”
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Research on the water absorption diffusion model and kinetics of pretreated straw by Lei Song, Yuanna Li, Tingzhou Lei, Yantao Yang, Yilin Shen, Mei Yang, Yunbo Wang, Hesheng Zheng

“…The three-stage internal particle diffusion equation can effectively describe the adsorption process of straw to moisture. At 70% humidity, the diffusion rate constant decreased and the boundary layer thickness increased. …”
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Modeling of dissolution phenomena in Cu-Cl Cycle for hydrogen production by Öznur Kayhan, Ibrahim Dincer

“…A mass transfer model for dissolution process presented in this paper has been developed based on Noyes Whitney equation which is dependent on concentration gradient across the boundary layer and solute's remaining surface area. …”
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Characterizations and boron diffusion modelling on the AISI H13 steel by Ortiz-Domínguez M., Keddam M., Morales-Robles Á.J.

“…Finally, this linear model has been validated for two other sets of processing parameters (1323 K for 4.5 and 8.5 h). …”
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A Modeling Study of the Topographic Effects on Shallow Convective Clouds by Mingxin Gong, Shizuo Fu, Jane Liu, Xin Deng

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An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

“…A dataset of 1400 data items, on adsorbent type and various adsorption pressure, is used as inputs for the D-CNN model. Comparison of the proposed model is done against the three tree models, which utilizes a single training layer. …”
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Insight mechanism of ANN model for denitrification in spouted bed bioreactor by Keshava Joshi, Lokeshwari Navalgund, Nabisab Mujawar Mubarak, Vinayaka B. Shet

“…These results demonstrate that the ANN model outperforms the regression model across all evaluated performance metrics, making it a more effective tool for capturing the complex dynamics of the denitrification process in the reactor.…”
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