The impact of cultural tourism on local traditions by I Ketut Surata, I Made Sumartana, I Gusti Bagus Rai Utama

“…Key findings reveal that while cultural tourism has generated economic benefits and increased awareness of local heritage, it has also led to significant alterations in traditional practices, including the commercialization of sacred ceremonies and changes in architectural styles. The research identifies both supporting factors, such as community engagement in tourism management, and hindering factors, such as the risk of cultural dilution. …”
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Supports d’écriture et gestion de production au quotidien dans le nord de la Gaule (Nerviens, Atrébates) : estampilles et graffiti sur briques et sur tuiles by Christine Hoët-Van Cauwenberghe

“…This new material opens up new avenues as far as onomastics is concerned and will augment the epigraphic corpus from the production sites for architectural elements, in this case found on the consumption site. …”
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Deep learning models for analysis of non‐destructive evaluation data to evaluate reinforced concrete bridge decks: A survey by Dayakar Naik Lavadiya, Sattar Dorafshan

“…First a brief overview of the working principle of NDE techniques and DL architectures is provided, and then the information about proposed DL models and their efficacy is highlighted. …”
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Bearing Capacity of Light-Steel Compound Section and Steel Columns under Axial Compression by Jianwen Li, Xiaoyu Wang, Li Chen, Wenbo Lu

“…Light steel, as an environmental protection material, has gradually become a key direction in the architectural field. The axially compressed columns forming the wall skeleton in the light steel structure usually adopt two cross-sectional forms, namely, cold-formed thin-walled steel built-up cross-section and independent profiled steel cross-section. …”
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Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks by Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno

“…Moreover, the proposed solutions have been designed using a unique network configuration for the three considered demographic problems, which has the advantage of simplifying the design complexity and debugging of these deep architectures when handling related handwriting problems. …”
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In Vivo Noninvasive Imaging of Healthy Lower Lip Mucosa: A Correlation Study between High-Definition Optical Coherence Tomography, Reflectance Confocal Microscopy, and Histology by Alejandra García-Hernández, Rodrigo Roldán-Marín, Pablo Iglesias-Garcia, Josep Malvehy

“…A “punch” biopsy of the lower lip mucosa was obtained and prepared for conventional histology. The architectural overview offered by “slice” mode HD-OCT correlates with histologic findings at low magnification. …”
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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

“…The model solely trained on cellulose acetate was further able to predict the DS of other cellulose esters with an accuracy of $$\approx 0.1-0.2$$ in DS and model architectures for a more general analysis of cellulose esters were proposed.…”
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Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain by Alexander Uzhinskiy

“…Various neural network architectures and training methods have been employed to identify optimal solutions for plant disease classification. …”
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Prebiotic Geochemical Automata at the Intersection of Radiolytic Chemistry, Physical Complexity, and Systems Biology by Zachary R. Adam, Albert C. Fahrenbach, Betul Kacar, Masashi Aono

“…Connectivity across multiple levels imparts the potential to create and maintain far-from-equilibrium chemical conditions and to manifest nonlinear system behaviors best approximated using automata formalisms. The architectural attribute of “information hiding” of energy exchange processes at each object level is shared with stable, multitiered automata such as digital computers. …”
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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

“…Notably, our approach deviates from the traditional U-Net model by exploring alternative architectures. We have also integrated deep learning with classical machine learning methods incorporating a priori knowledge from multi-atlas segmentation which improved precision and robustness. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…The model integrates two architectures, MobileNetV2 and U-NET, for classifying the input lung data. …”
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Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals by Hongmei Liu, Lianfeng Li, Jian Ma

“…Stacked sparse autoencoders or other deep architectures have shown excellent performance in speech recognition, face recognition, text classification, image recognition, and other application domains. …”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“…The performance of these models is analyzed and compared in terms of accuracy, precision, recall & F1-scores and computational efficiency. The CNN-RNN architectures we considered for analysis in this paper, the ResNet152V2 based CNN-RNN model exhibits better performance and achieved highest accuracy, precision, recall and F1-score equal to 92.20% due to its ability to capture more complex spatial features. …”
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Phase, Microstructure, Thermochromic, and Thermophysical Analyses of Hydrothermally Synthesized W-Doped VO2 Nanopowder by Hamdi Muhyuddin Barra, Soo Kien Chen, Nizam Tamchek, Zainal Abidin Talib, Oon Jew Lee, Kar Ban Tan

“…Vanadium dioxide (VO2) has great potential as an intelligent architectural glazing system as it can control the amount of light, heat, and solar energy relative to the temperature in the environment. …”
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An efficient way to represent the processors and their connections in omega networks by Savari Prabhu, T. Jenifer Janany, Paul Manuel

“…Omega networks provide a structured and scalable interconnect solution for distributed memory architectures. In large-scale data centers where massive amounts of data are processed and analyzed, omega networks are used in the network infrastructure to interconnect servers and storage systems. …”
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Application of the Time Step Optimization Method in Seismic Liquefaction Analysis and Its Evaluation Method for Computational Efficiency Improvement by Qi Li, Bin Li, Shaorui Sun, Nan Yang

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Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems by L. Bergamaschi, A. Martínez

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Periodic, Cross-Kink, and Interaction between Stripe and Periodic Wave Solutions for Generalized Hietarinta Equation: Prospects for Applications in Environmental Engineering by Guangping Li, Jalil Manafian, Mirmehdi Seyyedi, R. Sivaraman, Subhiya M. Zeynalli

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Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements by Mariza Pittou, Matthew G. Karlaftis, Zongzhi Li

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Sectional Analysis Procedure for Reinforced Concrete Members Subjected to Pure Torsion by Jongkwon Choi, Seong-Cheol Lee

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