Sustainable Preservation of Historical Temples Through Ventilation Airflow Dynamics and Environmental Analysis Using Computational Fluid Dynamics by Mongkol Kaewbumrung, Chalermpol Plengsa-Ard, Wasan Palasai

“…Preserving heritage sites is a complex challenge that requires multidisciplinary approaches, combining scientific accuracy with cultural and historical sensitivity. …”
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Intelligent predictive networks for MHD nanofluid with carbon nanotubes and thermal conductivity along a porous medium by Hafiz Muhammad Shahbaz, Iftikhar Ahmad

“…Recurrent neural networks have been able to capture the interest of the academia as they are able to compute very complex models which are non linear in nature. It is in this light that recurrent neural networks are well suitable for use in complex areas including fluid dynamics, biological computing, and biotechnology since they are capable of learning patterns. …”
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Development mode and practice of fault-block oriented shale oil well in the second member of Funing Formation, Qintong Sag, Subei Basin by YAO Hongsheng,YUN Lu,ZAN Ling,ZHANG Longsheng,QIU Weisheng

“…The beneficial development shows a good prospect for the evaluation of shale oil in complex structural areas by the directional wells.…”
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Improved Field Obstacle Detection Algorithm Based on YOLOv8 by Xinying Zhou, Wenming Chen, Xinhua Wei

“…First, to adapt to different tasks and complex environments in the field, improve the sensitivity of the detector to various target sizes and positions, and enhance detection accuracy, the CBAM (Convolutional Block Attention Module) was integrated into the backbone layer of the benchmark model. …”
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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…However, most high-precision detection models rely on complex architectures and large-scale parameters, limiting their applicability to resource-constrained platforms such as satellite-based systems, where model size, computational load, and power consumption are tightly restricted. …”
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Numerical Simulation of Turbulent Flow in River Bends and Confluences Using the k-ω SST Turbulence Model and Comparison with Standard and Realizable k-ε Models by Rawaa Shaheed, Abdolmajid Mohammadian, Alaa Mohammed Shaheed

“…The simulations were performed using OpenFOAM, an open-source computational fluid dynamics (CFDs) platform, with the k-ω SST (Shear Stress Transport) turbulence model, which is well-suited for capturing boundary layer behavior and complex turbulence structures. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

“…Infrared small-target detection encounters significant challenges due to a low image signal-to-noise ratio, limited target size, and complex background noise. To address the issues of sparse feature loss for small targets during the down-sampling phase of the traditional U-Net network and the semantic gap in the feature fusion process, a multilevel feature extraction and fusion attention network (MEFA-Net) is designed. …”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…(Materials and methods) The depth map reconstruction method consists of three main stages: computation of the anisotropic gradient; identification of similar blocks based on a novel similarity criterion; and merging of the detected blocks using a neural network architecture composed of an encoder, a fusion layer, and a decoder. The method was tested using the Rosario dataset, which includes scenarios representative of complex agricultural environments. …”
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Multi-module UNet++ for colon cancer histopathological image segmentation by Qi Liu, Zhenfeng Zhao, Yingbo Wu, Siqi Wu, Yutong He, Haibin Wang, Shenwen Wang

“…JPFM achieves progressive fusion of cross-layer features via a multi-scale feature pyramid, enhancing the encoding capability for complex tissue structures and fine boundary information. …”
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Underwater Time Delay Estimation Based on Meta-DnCNN with Frequency-Sliding Generalized Cross-Correlation by Meiqi Ji, Xuerong Cui, Juan Li, Lei Li, Bin Jiang

“…In underwater signal processing, accurate time delay estimation (TDE) is of crucial importance for ensuring the reliability of data transmission. However, the complex propagation of sound waves and strong noise interference in the underwater environment make this task extremely challenging. …”
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FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…With the development of complex CNN models, a significant drawback is their high computational burden and memory requirements. …”
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A Review of Gas Flow and Its Mathematical Models in Shale Gas Reservoirs by Bo-ning Zhang, Xiao-gang Li, Yu-long Zhao, Cheng Chang, Jian Zheng

“…The gas transport mechanisms in shale gas reservoirs are complicated, due to the multiple types of pores with complex pore structure and special process of gas accumulation and transport. …”
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Investigating the impact of process parameters on the thermomechanical properties of three-dimensional (3D) printed polymer-nanoclay composites by Sheymaa Alazzawi, Noor Hassan Ali, Suha K. Shihab, Muammel M. Hanon

“…However, attaining maximum thermomechanical properties in three-dimensional (3D) printed composite is challenging given the complex interactions between processing parameters and material structure. …”
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ANALYTICAL MODEL OF DAMAGED AIRCRAFT SKIN BONDED REPAIRS ASSUMING THE MATERIAL PROPERTIES DEGRADATION by A. A. Fedotov, A. V. Tsipenko

“…The variant of the computational complex based on inclusion method is proposed.For calculation purposes the repair bonded joint is divided into two areas: a metal plate with patch-shaped hole and a "patch-adhesive layer-skin" composite plate (inclusion).Calculation stages:Evaluation of the patch influence to the skin stress-strain condition, stress distribution between skin and patch in the case of no damage. …”
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An AI based cross‐language aspect‐level sentiment analysis model using English corpus by Jing Chen, Li Pan

“…However, actual data is very complex and contains a large amount of redundant information. …”
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Exploring the use of new data assimilation technologies to map groundwater quality vulnerability in a large alluvial aquifer by Wes Kitlasten, Catherine Moore, John Doherty

“…Bayesian analysis begins by generating ensembles of realizations of hydraulic property and other parameters used by a multi-layer groundwater model. The first technology supports this first step, by ensuring that respect for complex hydrogeology is embodied in nonstationary representations of hydraulic properties, as well as in stochasticity of so-called “hyperparameters” which govern their spatially variable geostatistics. …”
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Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow by Khalil Ur Rehman, Nosheen Fatima, Wasfi Shatanawi, Nabeela Kousar

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Multi-Scale Plastic Lunch Box Surface Defect Detection Based on Dynamic Convolution by Jing Yang, Gang Zhang, Yunwang Ge, Jingzhuo Shi, Yiming Wang, Jiahao Li

“…This attention mechanism enables the network to capture complex features adaptively, and enhances the perception of feature channel information and spatial information at various scales. …”
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Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models by Matthew Litvinas

“…Military planners’ success is in their ability to develop synergy through layering effects of a complex system at a decisive point on the battlefield. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

“…The core of this algorithm is to enhance the model’s ability to extract features in complex scenarios, thereby improving the detection efficiency. …”
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