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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Experimental Analysis of Intermittent Pumping Effects on Seawater Intrusion by Shumei Zhu, Zhifang Zhou, Adrian D. Werner, Yongqiang Chen

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Antibodies to cyclic citrullinated peptide and angiopoietin-like protein type 4 as markers of immune inflammation and osteoporotic processes in rheumatoid arthritis patients by G. Ya. Osmanova, V. A. Aleksandrov, A. V. Aleksandrov, L. N. Shilova, E. G. Cherkesova, N. V. Aleksandrova, I. A. Zborovskaya

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Automatic Acne Detection Model Based on Improved YOLOv7 by Delong Zhang, Chunyang Jin, Zhidong Zhang, Xiyuan Cao, Chenyang Xue

“…This model holds promise for effectively managing patient health status and providing valuable assistance to physicians in the diagnostic process.…”
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Survey on the research progress of generative adversarial networks for 6G by Chanyuan MENG, Ke XIONG, Bo GAO, Yu ZHANG, Pingyi FAN

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Sedimentary Model of Sublacustrine Fans in the Shahejie Formation, Nanpu Sag by Zhen Wang, Zhihui Ma, Lingjian Meng, Rongchao Yang, Hongqi Yuan, Xuntao Yu, Chunbo He, Haiguang Wu

“…The study demonstrates that sublacustrine fans in the study area are formed by gravity flow processes. A new model was established, illustrating the combined control of the Gaoliu Fault and reverse stepover faults on fan development. …”
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Spin-flash drying characteristics and kinetic model of antarctic krill by TAN Jiayu, OUYANG Jie, MA Tiantian, SHEN Jia

“…<b>Methods:</b> Six common thin-layer drying models were selected to fit the experimental data. …”
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Designing Social Robots with LLMs for Engaging Human Interaction by Maria Pinto-Bernal, Matthijs Biondina, Tony Belpaeme

“…We describe our system architecture, which combines real-time speech processing, layered memory summarisation, persona conditioning, and multilingual voice adaptation to support personalised, socially appropriate interactions. …”
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Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach by Haneul Ko, Sangwon Seo, Sangheon Pack

“…In this paper, we propose a deep reinforcement learning (DRL)-based dynamic split computing framework (D2SCF) tailored for the MTL model. In D2SCF, the MTL model is first split into a head model of the shared layers and several tail models for the task-specific layers (i.e., individual output branches). …”
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A Parametric Study of Solar Wind Properties and Composition Using Fluid and Kinetic Solar Wind Models by Paul Lomazzi, Alexis P. Rouillard, Michael A. Lavarra, Nicolas Poirier, Pierre-Louis Blelly, Jean-Baptiste Dakeyo, Viviane Pierrard, Victor Réville, Christian Vocks, Simon Thomas

“…We introduce a new solar wind model extending from the chromosphere to the inner heliosphere, capturing thermodynamic coupling across atmospheric layers. …”
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Convolutional Versus Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing by Achintha Ihalage, Sayed Taheri, Faris Muhammad, Hamed Al-Raweshidy

“…To address these limitations, we propose a compact convolutional neural network (CNN) architecture that offers a context window spanning up to 200,000 characters and achieves over 96% accuracy (F<inline-formula> <tex-math notation="LaTeX">$1\gt 0.9$ </tex-math></inline-formula>) in classifying multifaceted software logs into various layers in the telecommunications protocol stack. Specifically, the proposed model is capable of identifying defects in test runs and triaging them to the relevant department, formerly a manual engineering process that required expert knowledge. …”
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Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses by Luka Tas, Niels Hartog, Martin Bloemendal, David Simpson, Tanguy Robert, Robin Thibaut, Le Zhang, Thomas Hermans

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Comparison of Recent Remote Sensing Data Using an Artificial Neural Network to Predict Soil Moisture by Focusing on Radiometric Indices by Miraç Kılıç, Recep Gündoğan

“…Remote sensing data is widely used as a common variable for digital soil mapping estimating models. The aim of this study, quite recently made available to researchers Operational Land Imager 2 (OLI–2) have structure Landsat 9 and Landsat 8 (OLI) and Sentinel 2A (MSI) to compare the performance of soil moisture estimation in multi-layer perceptron network (MLP) artificial intelligence algorithm of image data. …”
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Intelligent Methods of Operational Response to Accidents in Urban Water Supply Systems Based on LSTM Neural Network Models by Aliaksey A. Kapanski, Nadezeya V. Hruntovich, Roman V. Klyuev, Aleksandr E. Boltrushevich, Svetlana N. Sorokova, Egor A. Efremenkov, Anton Y. Demin, Nikita V. Martyushev

“…The paper presents a data pre-processing algorithm for model training, as well as an analysis of the influence of various architectural parameters, such as the number of LSTM layers, the utilization of Dropout layers for regularization, and the number of neurons in Dense (fully connected) layers. …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…The authors introduce DDANet, a novel haematoma segmentation model for brain CT images. Specifically, a dilated convolution pooling block is introduced in the intermediate layers of the encoder to enhance feature extraction capabilities of middle layers. …”
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Five axis Virtual Machining of Asymmetric Double Cone Expansion Wheel by ZHAO Yan-ling, QIN Sheng, YAN Zhao

“…The localized processing of the expansion wheel provides a reference.…”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“…The model is evaluated based on the confusion matrix and the heat maps of different convolutional layers are analyzed. …”
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RADAR#: An Ensemble Approach for Radicalization Detection in Arabic Social Media Using Hybrid Deep Learning and Transformer Models by Emad M. Al-Shawakfa, Anas M. R. Alsobeh, Sahar Omari, Amani Shatnawi

“…We employ domain-specific Arabic tweet pre-processing techniques and a custom attention layer to better focus on radicalization indicators. …”
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