Prediction of carbon dioxide phase at bottomhole by adaptive factorization network considering well geometry by Sungil Kim, Tea-Woo Kim, Yongjun Hong, Hoonyoung Jeong

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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
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High-Accuracy HLA Type Inference from Whole-Genome Sequencing Data Using Population Reference Graphs. by Alexander T Dilthey, Pierre-Antoine Gourraud, Alexander J Mentzer, Nezih Cereb, Zamin Iqbal, Gil McVean

“…We show that HLA*PRG, our algorithm, outperforms existing methods by a wide margin. We evaluate HLA*PRG on six classical class I and class II HLA genes (HLA-A, -B, -C, -DQA1, -DQB1, -DRB1) and on a set of 14 samples (3 samples with 2 x 100bp, 11 samples with 2 x 250bp Illumina HiSeq data). …”
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The state of drained peatlands in the Middle Urals and prospects of their use for carbon farming by Seyed Omid Reza Shobairi, Alenakochubei, Olga Cherepanova, et al.

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A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

“…However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data processing, they also face an expanded attack surface and growing cybersecurity threats.MethodsThis paper presents a comprehensive threat modeling and risk assessment approach tailored to smart city environments. …”
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HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants by Yaoli Mao, Janet Rafner, Janet Rafner, Yi Wang, Jacob Sherson

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Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study by Emanuele Frassini, Teddy S. Vijfvinkel, Rick M. Butler, Maarten van der Elst, Benno H. W. Hendriks, John J. van den Dobbelsteen

“…This study evaluates the performance of deep learning models in the prediction of the end time of procedures performed in the cardiac catheterization laboratory (cath lab). …”
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Do more with less: Exploring semi-supervised learning for geological image classification by Hisham I. Mamode, Gary J. Hampson, Cédric M. John

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Analyzing expert decision-making in geosteering: Statistical insights from a large-scale controlled experiment by Yasaman Cheraghi, Sergey Alyaev, Reidar B. Bratvold, Aojie Hong, Igor Kuvaev, Stephen Clark, Andrei Zhuravlev

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Practical exploration of English translation activity courses in universities under the background of artificial intelligence by Jiexia Dai

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Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning by Rajib Maity, Aman Srivastava, Subharthi Sarkar, Mohd Imran Khan

“…The review also addresses persistent challenges, including data limitations, computational demands, and model interpretability, proposing solutions that integrate emerging technologies like quantum computing, the Internet of Things (IoT), and interdisciplinary collaboration. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

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Assessment of the WRF model configuration optimization in predicting the heavy rainfall over urban city Bhubaneswar, India by Alugula Boyaj, N. R. Karrevula, Madhusmita Swain, P. Sinha, Raghu Nadimpalli, Sahidul Islam, V. Vinoj, Manoj Khare, Dev Niyogi, U. C. Mohanty

“…Their performance was further evaluated by simulating an additional four HREs over Bhubaneswar. …”
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Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India by Pankaj Prasad, Sourav Mandal, Sahil Sandeep Naik, Victor Joseph Loveson, Simanku Borah, Priyankar Chandra, Karthik Sudheer

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Interpretable machine learning for precision cognitive aging by Abdoul Jalil Djiberou Mahamadou, Emma A. Rodrigues, Vasily Vakorin, Vasily Vakorin, Violaine Antoine, Sylvain Moreno, Sylvain Moreno

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Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

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Impact of digital transformation: assessing the knowledge and adoption of disruptive technologies in a higher education institution by Janet Aquino, Roger Alarcón, Laurita Guevara, Jessie Bravo-Jaico, Nilton Germán, Carlos Valdivia-Salazar, Oscar Serquén, Gisella Luisa Elena Maquen-Niño, Alfonso Tesén-Arroyo

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Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…Active vision enables dynamic and robust visual perception, offering an alternative to the static, passive nature of feedforward architectures commonly used in computer vision, which depend on large datasets and high computational resources. …”
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Coordinate regulation of G protein signaling via dynamic interactions of receptor and GAP. by Marc Turcotte, Wei Tang, Elliott M Ross

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Irrigated rice-field mapping in Brazil using phenological stage information and optical and microwave remote sensing by Andre Dalla Bernardina Garcia, MD Samiul Islam, Victor Hugo Rohden Prudente, Ieda Del’Arco Sanches, Irene Cheng

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