Temporal-Logic-Based Testing Tool for Programs Using the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Programming Models by Salwa Saad, Etimad Fadel, Ohoud Alzamzami, Fathy Eassa, Ahmed Mohammed Alghamdi

“…Our tool dynamically tests applications, running in parallel with application threads to ensure portability across different architectures while maintaining an execution overhead of less than 36.94%. …”
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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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Experimental study and physical modeling of ceiling temperature distribution of fires in a large open-plan compartment with unilateral asymmetric openings by Xiaoyu Shan, Yuanzhou Li, Yong Jiang, Yong Hu

“…With the rapid emergence of large open-plan architectural structures, there is a need to reevaluate the applicability of fire standards based on smaller compartment fire dynamics. …”
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A Three-Branch Pansharpening Network Based on Spatial and Frequency Domain Interaction by Xincan Wen, Hongbing Ma, Liangliang Li

“…Additionally, many methods neglect the extraction of common features between LRMS and PAN images and lack network architectures specifically designed to extract spectral features. …”
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Cas12e orthologs evolve variable structural elements to facilitate dsDNA cleavage by Danyuan Li, Shouyue Zhang, Shuo Lin, Wenjing Xing, Yun Yang, Fengxia Zhu, Dingding Su, Chunlai Chen, Jun-Jie Gogo Liu

“…To comprehensively understand the Cas12e family, we identify and characterize six unreported Cas12e members that vary in their CRISPR-locus architectures, PAM preferences, and cleavage efficacies. …”
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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models by Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin

“…Approaches leveraging deep learning architectures have been proposed to predict the SOH using convolutional networks, recurrent networks, and transformers. …”
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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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« Pour le remède des âmes » : la chapelle du cimetière de l’hôpital Saint-Jacques de Cuiseaux et son décor peint by Denise Borlée

“…This well-preserved painted cycle, designed in keeping with the architectural framework, was also based on the integration of sculptural elements. …”
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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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L’emploi antique des géomatériaux à Reims/Durocortorum by Gilles Fronteau, Sébastien Laratte, Alain Devos, Claire Pichard

“…Rural peri-urban buildings exhibit almost exclusive use of perishable materials, such as cob and mud bricks or mud tiles, but also relatively abundant use of stone for tools, material goods or larger architectural elements. The utilitarian architectural programs, or those dedicated to the day-to-day life of the city and its surroundings, are marked by a selection of materials requiring specific qualities: relative to water for the aqueduct, or their resistance to the underground environment for the cryptoportici bases. …”
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Sonic territorialisation in motion. Reporting from the homeless occupation of public space in Grenoble by Nicola Di Croce

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Le printemps à la portée des gestes. Danser le solo de l’élue dans Le sacre du printemps au XXIe siècle by Aurore Després

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Re-reading Whitehead Through the Pre‑reflective Experience of Atmospheric Processes by Desiree Foerster

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