Evaluation of a double-lens dielectric radome using a microstrip patch antenna for electromagnetic applications by Taehoon Kim, Sathish Kumar, C.V. Ravikumar, Shafiq Ahmad, Karuna Yepuganti, P. Srinivasa Varma

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Tviterasi, tviteraši or twitteraši? Producing and analysing a normalised dataset of Croatian and Serbian tweets by Maja Miličević, Nikola Ljubešić

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Neuromorphic Digital-Twin-Based Controller for Indoor Multi-UAV Systems Deployment by Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad

“…Due to the sparsity of spiking patterns, and the event-based nature of SNNs on average for the whole group of UAVs, the framework achieves almost 90% reduction in computational burden compared to traditional von Neumann architectures implementing traditional artificial neural networks.…”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

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An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks by Manikandan Rajagopal, Ramkumar Sivasakthivel, G. Anitha, Krishna Prakash Arunachalam, K. Loganathan, Mohamed Abbas, Shaeen Kalathil, K. Srinivas Rao

“…MTH-QGNN effectively captures complex spatiotemporal traffic patterns with a variance score above threshold value.…”
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Monte–Carlo Techniques Applied to CGH Generation Processes and Their Impact on the Image Quality Obtained by Juan A. Magallón, Alfonso Blesa, Francisco J. Serón

“…In contrast, Computed Generated Holograms (CGH) focus on encoding and recreating light patterns to generate a true 3D holographic image that appears as a physical object in space. …”
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Improving unsupervised pedestrian re‐identification with enhanced feature representation and robust clustering by Jiang Luo, Lingjun Liu

“…Abstract Pedestrian re‐identification (re‐ID) is an important research direction in computer vision, with extensive applications in pattern recognition and monitoring systems. …”
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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

“…The structural properties of visibility graphs provided a robust foundation for clustering, effectively capturing both local and global patterns within the data. In this paper, we have compared the k-visibility algorithm with 4 algorithms frequently used in time series clustering and compared the results in terms of accuracy and computational time. …”
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Radiological Features of Changes in the Lungs Caused by Fast- or Slow-Growing Nontuberculous Mycobacteria by R. B. Amansakhedov, L. I. Dmitrieva, T. G. Smirnova, A. A. Veshkin, A. E. Ergeshov

“…Despite the similarities of clinical and radiological patterns of NTM, we established some distinguished features for slow-growing and fast-growing types.…”
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Detecting Lameness in Dairy Cows Based on Gait Feature Mapping and Attention Mechanisms by Xi Kang, Junjie Liang, Qian Li, Gang Liu

“…This limitation is exacerbated by the distinct kinematic patterns exhibited across lameness severity grades, ultimately reducing detection accuracy. …”
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Start & Stop: a PhysiCell and PhysiBoSS 2.0 add-on for interactive simulation control by Riccardo Smeriglio, Roberta Bardini, Alessandro Savino, Stefano Di Carlo

“…Abstract In computational biology, in silico simulators are vital for exploring and understanding the behavior of complex biological systems. …”
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DECONSTRUCTING NARRATIVE STRUCTURE: A LINGUISTIC FRAMEWORK FOR CT-BASED SHORT STORY WRITING by Fransiska Marta Sari, Mudhar, Riyati, Sri Utami

“…This condition is reinforced by the results of the PISA study which indicates that Indonesian students' writing literacy skills are still below the OECD average, indicating the need for a learning approach that focuses not only on linguistic aspects, but also on developing students' cognitive abilities in solving problems and thinking in a structured manner. Computational Thinking (CT) is presented as a potential solution, to be implemented in the story outlining process by breaking down the complex story ideas into smaller parts (decomposition), identifying patterns in narratives (pattern recognition), focusing on important elements (abstraction), and designing structured writing steps (algorithm). …”
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Dumbbell-shaped hypoglossal schwannoma with cystic and hemorrhagic degeneration: A case report of a rare entity by Kaouthar Sfar, Fadwa Jaheddine, Kaoutar Maslouhi, Fatima Chait, Meriem Zhim, Najwa ECH-cherif El Kettani, Meriem Fikri, Mohamed Jiddane, Firdaous Touarsa

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A Novel Detection-and-Replacement-Based Order-Operator for Differential Evolution in Solving Complex Bound Constrained Optimization Problems by Sichen Tao, Sicheng Liu, Shoya Ohta, Ruihan Zhao, Zheng Tang, Yifei Yang

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Radiological Semiotics of Different Types of Nontuberculous Pulmonary Mycobacterioses by R. B. Amansakhedov, L. I. Dmitrieva, T. G. Smirnova, A. D. Egorova, A. E. Ergeshov

“…Objective: to determine, evaluate, and describe different radiological patterns of microbiologically identified nontuberculous pulmonary mycobacterioses (NTPM) based on multislice computed tomography data.   …”
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Inter-team variability in game play under critical game scenarios: a study in high-level men’s volleyball using social network analysis (Variabilidad entre equipos en el juego baj... by João Bernardo Martins, José Afonso, Ademilson Mendes, Letícia Santos, Isabel Mesquita

“…The study shows teams competing at the same competitive level have differences in game patterns. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…Moreover, it utilizes the unique features of transformer and Linformer models to enhance the robustness and generalization of deepfake detection techniques. The low computational requirement and high accuracy of 98.9% increase the real-time applicability of the model, preventing blackmail and other losses to the public.DiscussionThe proposed hybrid model utilizes the strength of the transformer model in capturing complex patterns in data. …”
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Pediatric resident use, perceptions, and desires for improvement of a clinical secure messaging application by Andrew W Halterman, Anneli R Cochrane, Andrew D Miller, Joy L Lee, William E Bennett, Jr, Emily L Mueller

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Gender Classification From Pashto Handwritten Text Images by Khan Sultan, Riaz Ahmad, Siraj Muhammad, Sulaiman Almutairi, Mohammed Abohashrh, Khalil Ullah, Abdallah Namoun, Ibrar Hussain

“…Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. …”
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Learning to Theorize in a Complex and Changing World by Hillary Swanson, Allan Collins

“…We describe four theory-building competencies that students developed as a result of their participation in the course and highlight the features of instruction that may have played a key role in this development. …”
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