Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease by Rahul Kumar, Kyle Sporn, Aryan Borole, Akshay Khanna, Chirag Gowda, Phani Paladugu, Alex Ngo, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

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Spatio-temporal independent component classification for localization of seizure onset zone by Seyyed Mostafa Sadjadi, Seyyed Mostafa Sadjadi, Elias Ebrahimzadeh, Elias Ebrahimzadeh, Alireza Fallahi, Jafar Mehvari Habibabadi, Mohammad-Reza Nazem-Zadeh, Mohammad-Reza Nazem-Zadeh, Hamid Soltanian-Zadeh, Hamid Soltanian-Zadeh

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TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation by Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Urazboev Gayrat, Yuldashov Elyorbek, Bekchanov Habibullo, Defu Tang, Linjing Wei, Kang Li, Le Zhang

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A genetic programming approach with adaptive region detection to skin cancer image classification by Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

“…In recent years, the development of computer vision and machine learning has provided new methods for assisted diagnosis. …”
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Psychometric validation of the Chinese version of the nursing informatics competence scale and analysis of influencing factors by Jinrui Fei, Chunguang Liang, Weiwei Su, Yuge Wang, Kaiyan Xu, Jiaxin Cheng, Ying Ma, Yue Zhu, Zhaoquan Jiang

“…Construct validity was evaluated via exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). …”
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Investigation. effect. of mixed. matrix. membranes’. structural. parameters. on their. effective. gaseous. penetrant. diffusion. ratio using. CFD tools by M. Morovat, O. Bakhtiari

“…Ability and compatibility of the membrane processes for gas separation are evaluated by their membranes’ permeability and selectivity where both have been tried to enhance in promising membrane generation of mixed matrix membranes (MMMs). …”
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Comparative Analysis of Train Departure Strategies in a Container Shipment by Alessia Giulianetti, Marco Gotelli, Anna Sciomachen

“…<i>Results</i>: The computational tests are performed with data from a terminal in the port of Genoa (Italy). …”
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The Influence Mechanism of Narrative Strategies Used by Virtual Influencers on Consumer Product Preferences by Yuelong Zeng, Gefei Pu, Jingwen Liu, Wenting Feng

“…As social media has risen, virtual social media influencers have become a significant tool in modern marketing, utilizing computer-generated images (CGI), machine learning algorithms, and artificial intelligence technologies to connect with consumers via virtual online personas. …”
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Brine Drying and Salt Precipitation in Sandy Soil and Its Impact on Thermal Conductivity by H. Zhang, A. M. Tang, B. Zhao

“…This study examined the salt precipitation distribution induced by brine drying and evaluated its influence on soil thermal conductivity. …”
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Comparison of numerical results of RSM turbulence models for the problem of asymmetrical plane diffuser by Madaliev Murodil, Usmonov Mavlonbek, Tillaboyeva Farangiz, Mamatov Akmaljon, Otakulov Bakhromjon, Ro’zaliyev Sherzodjon, Mamatova Zilolaxon

“…Each of these models has its own characteristics, which allows us to evaluate their efficiency under various flow conditions. …”
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Agraphia in Bulbar-Onset Amyotrophic Lateral Sclerosis: Not Merely a Consequence of Dementia or Aphasia by Hiroo Ichikawa, Nobuyoshi Takahashi, Soutaro Hieda, Hideki Ohno, Mitsuru Kawamura

“…Co-development of dementia and/or aphasia was also explored and single photon emission computed tomography (SPECT) images of the brain were reviewed. …”
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Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks by Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary

“…Additionally, we introduce a computational efficiency metric based on floating-point operations (FLOPs) to evaluate the energy cost of detection. …”
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Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool by Jorge F. Beltrán, Lisandra Herrera Belén, Alejandro J. Yáñez, Luis Jimenez

“…We evaluated a comprehensive range of machine learning models, including ensemble methods, neural networks, and support vector machines. …”
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Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies by Nanzhe Wang, Haibin Chang, Dongxiao Zhang

“…Considering the intensive computational effort required for repeated simulation runs when solving inverse problems, surrogate models can be built to substitute for the simulator and improve inversion efficiency. …”
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Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…Each method enhances the representation of tissue features, optimizing the image quality and diagnostic utility. This study evaluated the impact of these integration techniques on EIM image analysis, aiming to improve the accuracy and reliability of computational diagnostic models for breast cancer detection. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…The JFFAEKF approach evaluates uncertainties in the battery model and incorporates them into the SOC estimation process under dynamic operating conditions. …”
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Uniform Quantization for Multi-Antenna Amplify&#x2013;Quantize&#x2013;Forward Relay by Gangsan Jeong, Xianglan Jin

“…To address this, we evaluate error performance at the destination for the entire AQF relay communication system by introducing a linear detection method with significantly reduced complexity in the MIMO AQF relay channel. …”
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Investigation of Wall Effect Simulation Methods in Saline Density Currents by Somayyeh Mohammadiyan Lanbaran, Afshin Eghbalzadeh

“…Overall, based on the obtained results, it can be recommended that when using coarser computational grids, the standard wall function approach is more appropriate. …”
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Deep reinforcement learning for conservation decisions by Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

“…We ultimately set forth a research framework based on well‐posed, public challenges so that ecologists and computer scientists can collaborate towards solving hard decision‐making problems in conservation.…”
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A Novel Light-Weight Machine Learning Classifier for Intrusion Detection in Controller Area Network in Smart Cars by Anila Kousar, Saeed Ahmed, Abdullah Altamimi, Zafar A. Khan

“…The resilience of the proposed scheme is evaluated while comparing the results with the existing ML-based IDS schemes. …”
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