Transchain: Blockchain-Based Management of Allografts for Enhancing Data Provenance by Rashid Ul Haq, Rahim Khan, Fahad Alturise, Shafrida Sahrani, Salem Alkhalaf, Mahidur R. Sarker

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Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model by Xiaoqian Zhao, Xiaoqian Zhao, Long Lyu, Li Zhang, Li Zhang

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Adaptive Self-Learning Framework for Resilient Vehicle Classification Through the Integration of Inductive Loops and LiDAR Sensors by Yiqiao Li, Andre Y. C. Tok, Stephen G. Ritchie

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Retrieval-Augmented Generation to Generate Knowledge Assets and Creation of Action Drivers by Antony James, Marcello Trovati, Simon Bolton

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Evaluation of Hierarchical Clustering Methodologies for Identifying Patterns in Timeout Requests in EuroLeague Basketball by José Miguel Contreras, Elena Molina Portillo, Juan Manuel Fernández Luna

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A quantitative study of the solute diffusion zone during solidification of Al-Cu alloys via in-situ synchrotron X-radiography and numerical simulation by Yiwang Jia, Xiaojuan Shang, Lang Yuan, Guangkai Yang, Yuanzheng Cao, Da Shu

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Determination of Harmful Elements in Flotation Products of a Gold Mine by ICP-MS with the Matrix-Matching Method by Qirong LIU, Bu CHU, Shuhang CHEN, Xiaoxu JIA, Zhihang ZHANG, Weining XIE, Shuai WANG, Peizhong FENG

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The Structural Regulation and Properties of Energetic Materials: A Review by Jin Yu, Siyu Xu, Weiqiang Pang, Hanyu Jiang, Zihao Zhang

“…Composite EMs (CEMs) employ core–shell structures to balance safety with performance via advanced coating materials, cocrystal engineering to tailor energy release through intermolecular interactions, and lattice strain modulation, and mixing structures integrates component advantages while enhancing the reaction efficiency. …”
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Binding memory of liquid molecules by Shiyi Qin, Zhi Yang, Huimin Liu, Xiaoli Wang, Bing Miao, Shangguo Hou, Kai Huang

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An Active RIS-Aided DFRC System for Improved Multi-User Communications by Ravi Patel, Aayush Singh, Keshav Singh, Shahid Mumtaz, Chih-Peng Li, Sudip Biswas

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Accelerating density of states prediction in Zn-doped MgO nanoparticles via kernel-optimized weighted k-NN by Hasan Kurban, Parichit Sharma, Mehmet M. Dalkilic, Mustafa Kurban

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Unraveling the levels of emerging contaminants along the eastern Mediterranean Sea by Fatima Haydous, Bilal Nehmeh, Joseph Rebehmed, Josephine Al-Alam, Christopher Saab, Sara Sabbagh, Ali Hamieh, Ali Yassin, Mahmoud Wazne, Elias Akoury

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A Method to Assess and Explain Changes in Sub‐Daily Precipitation Return Levels From Convection‐Permitting Simulations by Eleonora Dallan, Marco Borga, Giorgia Fosser, Antonio Canale, Bardia Roghani, Marco Marani, Francesco Marra

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Holistic Pose Estimation and Dynamic Motion Analysis for Telerehabilitation of Physically Disabled Individuals by Aleena Kamal, Shaheryar Najam, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Jeongmin Park

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Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification by Iftekhar Ahmed, Biggo Bushon Routh, Md. Saidur Rahman Kohinoor, Shadman Sakib, Md Mahfuzur Rahman, Farag Azzedin

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Chorèmes et graphes by Sylvie Lardon, Mathieu Capitaine

“…This paper presents how agronomists and computer engineers worked together on spatial modeling in order to compare farms and infer feasible functioning modes. …”
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Interpretable Deep Learning for Efficient Code Smell Prioritization in Software Development by Maaeda M. Rashid, Mohd Hafeez Osman, Khaironi Yatim Sharif, Hazura Zulzalil

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Percutaneous endoscopic lumbar partial laminectomy assisted by a new miniature parallel surgical robot system: a trial on a cadaveric specimen by Nan Su, Jiashen Shao, Gang Zhu, Yu Wang

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Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy by C. G. Jones, F. Adloff, B. B. B. Booth, P. M. Cox, V. Eyring, V. Eyring, P. Friedlingstein, P. Friedlingstein, K. Frieler, H. T. Hewitt, H. A. Jeffery, S. Joussaume, T. Koenigk, T. Koenigk, B. N. Lawrence, E. O'Rourke, M. J. Roberts, B. M. Sanderson, R. Séférian, S. Somot, P. L. Vidale, D. van Vuuren, D. van Vuuren, M. Acosta, M. Bentsen, M. Bentsen, R. Bernardello, R. Betts, R. Betts, E. Blockley, J. Boé, T. Bracegirdle, P. Braconnot, V. Brovkin, C. Buontempo, F. Doblas-Reyes, F. Doblas-Reyes, M. Donat, I. Epicoco, I. Epicoco, P. Falloon, P. Falloon, S. Fiore, T. Frölicher, T. Frölicher, N. S. Fučkar, N. S. Fučkar, M. J. Gidden, H. F. Goessling, R. G. Graversen, S. Gualdi, J. M. Gutiérrez, T. Ilyina, T. Ilyina, T. Ilyina, D. Jacob, C. D. Jones, C. D. Jones, M. Juckes, M. Juckes, E. Kendon, E. Kendon, E. Kjellström, R. Knutti, J. Lowe, J. Lowe, M. Mizielinski, P. Nassisi, M. Obersteiner, P. Regnier, R. Roehrig, D. Salas y Mélia, C.-F. Schleussner, M. Schulz, E. Scoccimarro, L. Terray, H. Thiemann, R. A. Wood, S. Yang, S. Zaehle

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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…Abstract This research introduces a Computer-Aided Diagnosis-system designed aimed at automated detections & classification of tomato leaf diseases, combining traditional handcrafted features with advanced deep learning techniques. …”
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