A Lightweight CNN-Transformer Implemented via Structural Re-Parameterization and Hybrid Attention for Remote Sensing Image Super-Resolution by Jie Wang, Hongwei Li, Yifan Li, Zilong Qin

“…Moreover, the distinctive architectures of transformers, their extensive parameter counts, and their reliance on large-scale training datasets impose constraints on transformer applications in remote sensing image feature extraction tasks. …”
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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

“…It identifies challenges in tumor classification, segmentation, datasets, and modalities, employing various neural network architectures. A competitive analysis assesses the performance of CNN. …”
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Seeing the Sound: Multilingual Lip Sync for Real-Time Face-to-Face Translation by Amirkia Rafiei Oskooei, Mehmet S. Aktaş, Mustafa Keleş

“…This framework is applied to assess two state-of-the-art lip sync models with different architectures for Turkish, Persian, and Arabic languages, using a newly collected dataset. …”
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Contextualising the Decorum of Golden Horde-Period Mosques in Crimea: by Nicole Kançal-Ferrari

“…Cet essai réexamine le style artistique et architectural des monuments de la Horde d’Or en Crimée dans leurs diverses dimensions culturelles et territoriales. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…Incremental SMOTE methods were compared to the original SMOTE variants as well as various architectures of autoencoders. Our incremental data generation system enhances selected state-of-the-art SMOTE methods, resulting in sensitivity improvements for deep transfer learning (TL) classifiers ranging from 4.01% to 7.79%. …”
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PreMevE Update: Forecasting Ultra‐Relativistic Electrons Inside Earth's Outer Radiation Belt by Saurabh Sinha, Yue Chen, Youzuo Lin, Rafael Pires de Lima

“…We evaluated 32 supervised machine learning models that fall into four different classes of linear and neural network architectures, and successfully tested ensemble forecasting by using groups of top‐performing models. …”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

“…In contrast to ordinary CNN architectures, it extends the network for better feature extraction, improving PDDC performance that demands diverse feature competencies. …”
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Needle tracking and segmentation in breast ultrasound imaging based on spatio-temporal memory network by Qiyun Zhang, Jiawei Chen, Jinhong Wang, Haolin Wang, Yi He, Yi He, Bin Li, Zhemin Zhuang, Huancheng Zeng

“…The proposed network integrates a hybrid encoder that employs CNN-Transformer architectures, along with an optical flow estimation method. …”
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MFCEN: A lightweight multi-scale feature cooperative enhancement network for single-image super-resolution by Jiange Liu, Yu Chen, Xin Dai, Li Cao, Qingwu Li

“…In recent years, significant progress has been made in single-image super-resolution with the advancements of deep convolutional neural networks (CNNs) and transformer-based architectures. These two techniques have led the way in the field of super-resolution technology research. …”
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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

“…Optimizing the hyperparameters of Convolutional Neural Network (CNN) architectures, especially those based on pre-trained models, plays a crucial role in improving training efficiency. …”
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Compressive Strength and Microstructure Properties of Alkali-Activated Systems with Blast Furnace Slag, Desulfurization Slag, and Gypsum by Bong-Suk Cho, Kyung-Mo Koo, Se-Jin Choi

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Beutin (Pas-de-Calais) : une installation thermale domestique en pays morin by David Labarre

“…The first building lies on an artificial terrace and several indirect markers tend to demonstrate his bathing vocation: it is mainly about architectural elements observed in reuse in the thermal baths of the following period. …”
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The formulation of sound transmission problems through the boundaries of three-dimensional media and through plates by A. V. Zakharov

“…The problem of sound propagation through a plate separating the air medium is fundamental in the sections of architectural and technical acoustics, since applied theories of sound insulation of walls and ceilings of buildings and vehicles enclosing premises are based on it.Conclusions. …”
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Evaluation of Corrosion Resistance of Corrosion Inhibitors for Concrete Structures by Electrochemical Testing in Saturated Ca(OH)2 Solutions with NaCl and Na2SO4 by Hwa Sung Ryu, Chang Gil Lim, Tae Won Kang, Seungmin Lim, Hong Tae Kim, Sang Heon Shin

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Environmental Effects in Life Cycle Assessment of Machine-Vision-Driven Spall Repair Material Estimation for Sustainable Road Maintenance by Junhwi Cho, Shanelle Aira Rodrigazo, Hwang-Hee Kim, Su-Jin Lee, Chan Gi Park, Jaeheum Yeon

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Sacral buildings suitable for defense purposes and their ensembles in Vilnius in the 14th-18th centuries by Linas Girlevičius

“…A few of those buildings still have architectural fragments proving that they were meant to be defended with firearms. …”
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Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps by Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu

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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…By applying the proposed method, it was possible to successfully filter out redundant features, enabling simpler machine learning (ML) models to match or even surpass the performance of more complex deep learning (DL) architectures. The best results were achieved by a deep neural network trained on the full dataset, with accuracy, precision, recall, and F1 score of 97.30%, 97.23%, 97.23%, and 97.23%, respectively, while the top-performing ML model (a voting classifier trained on the reduced dataset) attained scores of 97.13%, 96.99%, 96.95%, and 96.94%. …”
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Tourism planning and development: The case of Portugal’s Norte region by Ana Paula Lopes, Filomena Soares

“…The north of Portugal has a rich cultural, historical and architectural landscape heritage, including some pearls that the United Nations Educational, Scientific and Cultural Organisation has classified over the years as World Heritage Sites. …”
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Soil Microarthropods as Tools for Monitoring Soil Quality: The QBS-ar Index in Three European Agroecosystems by Filippo Gallese, Laura Gismero-Rodriguez, Anton Govednik, Laura Giagnoni, Erica Lumini, Marjetka Suhadolc, Francesco Primo Vaccari, Anita Maienza

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