Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

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Detection of microfibres in wastewater sludge with deep learning by Félix Martí-Pérez, Ana Domínguez-Rodríquez, Carlos Monserrat, Cèsar Ferri, María-José Luján-Facundo, Eva Ferrer-Polonio, Amparo Bes-Piá, José-Antonio Mendoza-Roca

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Opportunities and challenges of multidisciplinary algorithmic impact assessments by Juana Catalina Becerra Sandoval, Felicia Jing, Adriana Alvarado Garcia, Sara E. Berger, Heloisa Candello, Caitlin Lustig

“…However, the evaluation of computational and algorithmic systems has largely been approached through a uni-modal and uni-disciplinary perspective that heavily privileges computer science and engineering disciplines. …”
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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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Ethical governance of clinical research on the brain–computer interface for mental disorders: a modified Delphi study by Qing Zhang, Zhen Wang, Jing Chen, Chen Zhang, Tianhong Zhang, Yifeng Xu, Haiqing Ji, Xingchao Wang, Pinan Liu

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A Novel Fault Diagnosis of Induction Motor by Using Various Soft Computation Techniques: BESO-RDFA by Kapu V. Sri Ram Prasad, K. Dhananjay Rao, Guruvulu Naidu Ponnada, Umit Cali, Taha Selim Ustun

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Assessment of Uneven Wear of Freight Wagon Brake Pads by Sergii Panchenko, Juraj Gerlici, Alyona Lovska, Vasyl Ravlyuk

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Depth based: No Reference Stereoscopic Image Quality Assessment by S. Kiruthika, J. Joshan Athanesious, D. Rushma

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Harnessing the Therapeutic Potential of Pomegranate Peel-Derived Bioactive Compounds in Pancreatic Cancer: A Computational Approach by Rita Majhi, Sagar Kurmi, Hilal Tayara, Kil To Chong

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Communication-efficient and privacy-preserving federated learning for medical image classification in multi-institutional edge computing by Nithin Melala Eshwarappa, Hojjat Baghban, Ching-Hsien Hsu, Po-Yen Hsu, Ren-Hung Hwang, Mu-Yen Chen

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Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson’s disease diagnosis by Jianmei Qin, Haoting Wu, Chenqing Wu, Tao Guo, Cheng Zhou, Xiaojie Duanmu, Sijia Tan, Jiaqi Wen, Qianshi Zheng, Weijin Yuan, Zihao Zhu, Jingwen Chen, Jingjing Wu, Chenyu He, Yiran Ma, Chunlei Liu, Xiaojun Xu, Xiaojun Guan, Minming Zhang

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Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems by Fadhil Khadoum Alhousni, Samuel Chukwujindu Nwokolo, Edson L. Meyer, Theyab R. Alsenani, Humaid Abdullah Alhinai, Chinedu Christian Ahia, Paul C. Okonkwo, Yaareb Elias Ahmed

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A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems by Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

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Evaluating Geostatistical and Statistical Merging Methods for Radar–Gauge Rainfall Integration: A Multi-Method Comparative Study by Xuan-Hien Le, Naoki Koyama, Kei Kikuchi, Yoshihisa Yamanouchi, Akiyoshi Fukaya, Tadashi Yamada

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Assessing Impact of Seasonal Lighting Variation on Visual Positioning of Drones by Che-Cheng Chang, Bo-Yu Liu, Bo-Ren Chen, Po-Ting Wu

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Learner stimulus intent: a framework for eye tracking data collection and feature extraction in computer programming education by K. R. Chandrika, J. Amudha

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Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

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Concrete Pavement Service Condition Assessment Using Infrared Thermography by Yang Lu, Aidin J. Golrokh, MD Aminul Islam

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