Integration of energy communities in distribution grids: Development paths for local energy coordination by Henning Taxt, Sigurd Bjarghov, Magnus Askeland, Pedro Crespo del Granado, Andrei Morch, Merkebu Z. Degefa, Rubi Rana

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Classification of medical imaging technologies: results from Türkiye by Hakan Temiz, Tuncay Kara

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Zero-Shot Detection of Visual Food Safety Hazards via Knowledge-Enhanced Feature Synthesis by Lanting Guo, Xiaoyu Hu, Wenhe Liu, Yang Liu

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REcovery from DEXmedetomidine-Induced Unresponsiveness (REDEX): A Study Protocol for a Single Center, Parallel Arm, Non-Randomized, Controlled Pilot Trial in Healthy Volunteers by Schreier DR, Fecchio M, Guay CS, Kovacs RG, Olchanyi M, Mueller AL, Houle TT, Edlow BL, Brown EN, Solt K

“…David R Schreier,1– 4 Matteo Fecchio,3 Christian S Guay,1,2,5 Reid G Kovacs,1,6– 8 Mark Olchanyi,2,3,6 Ariel L Mueller,1 Timothy T Houle,1 Brian L Edlow,3,9 Emery N Brown,1,2,6,7 Ken Solt1 1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Department of Anaesthesia, Harvard Medical School, Boston, MA, USA; 2Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; 3Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; 4Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland; 5Department of Anesthesiology, Perioperative and Pain Medicine, The University of Utah, Salt Lake City, UT, USA; 6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; 7Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; 8Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; 9Athinoula A. …”
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Harnessing electroosmotic hybrid nanofluid dynamics in curved arteries: insights into biomedical flow enhancement by M. A. El Kot, M. A. El Kot, Abdullah Madhi Alsharif, Y. Abd Elmaboud, Y. Abd Elmaboud, Sara I. Abdelsalam, Sara I. Abdelsalam

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A Monte Carlo simulation study of the impact of increasing the axial field of view on PET scanner sensitivity with various scintillating crystals by El Ouaridi Abdallah, Ait Elcadi Zakaria, Mkimel Mounir, Bougteb Mustapha, El Baydaoui Redouane

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A hybrid XAI-driven deep learning framework for robust GI tract disease diagnosis by Fadl Dahan, Jamal Hussain Shah, Rabia Saleem, Muhammad Hasnain, Maira Afzal, Taha M. Alfakih

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Sensor-Integrated Inverse Design of Sustainable Food Packaging Materials via Generative Adversarial Networks by Yang Liu, Lanting Guo, Xiaoyu Hu, Mengjie Zhou

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A dual GAN with identity blocks and pancreas-inspired loss for renewable energy optimization by Mostafa Elbaz, Wael Said, Gamal M. Mahmoud, Hanaa Salem Marie

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Geometry-enhanced graph neural networks accelerate circRNA therapeutic target discovery by Zhen Li, Mingming Qi, Juyuan Huang, Wei Zhang, Xu Tan, Yifan Chen

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Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies by Kelsey Fehr, Kelsey Fehr, Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Trenton Dailey-Chwalibóg, Liat Shenhav, Liat Shenhav, Liat Shenhav, Lindsay H. Allen, Lindsay H. Allen, Megan R. Beggs, Megan R. Beggs, Lars Bode, Lars Bode, Rishma Chooniedass, Mark D. DeBoer, Lishi Deng, Camilo Espinosa, Camilo Espinosa, Camilo Espinosa, Daniela Hampel, Daniela Hampel, April Jahual, April Jahual, Fyezah Jehan, Mohit Jain, Patrick Kolsteren, Puja Kawle, Kim A. Lagerborg, Melissa B. Manus, Melissa B. Manus, Melissa B. Manus, Samson Mataraso, Samson Mataraso, Samson Mataraso, Joann M. McDermid, Ameer Muhammad, Payam Peymani, Payam Peymani, Martin Pham, Martin Pham, Setareh Shahab-Ferdows, Yasir Shafiq, Yasir Shafiq, Yasir Shafiq, Vishak Subramoney, Daniel Sunko, Daniel Sunko, Laeticia Celine Toe, Laeticia Celine Toe, Stuart E. Turvey, Lei Xue, Natalie Rodriguez, Natalie Rodriguez, Alan Hubbard, Nima Aghaeepour, Nima Aghaeepour, Nima Aghaeepour, Meghan B. Azad, Meghan B. Azad

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DVL2024: A Larger Ultra-High-Definition Video Dataset for Perceptual Quality Study by Jiefeng He, Jinchun Yuan, Fengchuang Xing

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Multi-Information-Assisted Bistatic Active Sonar Target Tracking for Autonomous Underwater Vehicles in Shallow Water by Zhanpeng Bao, Yonglin Zhang, Yupeng Tai, Jun Wang, Haibin Wang, Chao Li, Chenghao Hu, Peng Zhang

“…The proposed algorithm provides AUVs with enhanced tracking autonomy, significantly advancing their capability in ocean engineering applications.…”
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Broad-spectrum coronavirus vaccines: integrated strategies to combat viral diversity by Qian He, Yi Zhang, Zhihao Fu, Xiao Ma, Zhenglun Liang

“…This article presents a comprehensive review of recent advancements in broad-spectrum coronavirus vaccine development, identifies persistent challenges, and outlines strategic directions for vaccine development. …”
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Maize leaf disease multiclass classification and recognition for sustainable agriculture using multi preceptive deep learning model by Vinay Gautam, Aadam Quraishi, Azzah AlGhamdi, Gaganpreet Kaur, Faisal Alghayadh, Haewon Byeon, Mohammed Wasim Bhatt

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Radiation-resilient InAs quantum dot lasers by Seth A. Fortuna, Eamonn T. Hughes, Weng W. Chow, Sadhvikas Addamane, Charles Alford, Gyorgy Vizkelethy, John E. Bowers, Erik J. Skogen

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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

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FLEDNet: Enhancing the Drone Classification in the Radio Frequency Domain by Boban Sazdic-Jotic, Milenko Andric, Boban Bondzulic, Slobodan Simic, Ivan Pokrajac

“…Researchers are actively pursuing advancements in convolutional neural networks and their application in anti-drone systems for drone classification tasks. …”
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A Systematic Review on Application of Multimodal Learning and Explainable AI in Tuberculosis Detection by Barbara Nansamba, Joyce Nakatumba-Nabende, Andrew Katumba, David Patrick Kateete

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An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence by Roger Yiran Mawoh, Joan Beri Ali Wacka, Franklin Tchakounte, Claude Fachkha, Kolyang

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