Detection of Invasive Species (Siam Weed) Using Drone-Based Imaging and YOLO Deep Learning Model by Deepak Gautam, Zulfadli Mawardi, Louis Elliott, David Loewensteiner, Timothy Whiteside, Simon Brooks

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Structural Analysis of Amylin and Amyloid β Peptide Signaling in Alzheimer’s Disease by Longsheng Xie, Christopher Lockhart, Steven R. Bowers, Dmitri K. Klimov, Mohsin Saleet Jafri

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A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment by Aamina Batool, Veysi Kartal, Zulfiqar Ali, Miklas Scholz, Farman Ali

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Simultaneous detection of human neutrophil elastase and cathepsin G on a single substrate using a fluorometric quantum dots probe and chemometric models by Fátima A.R. Mota, Rafael C. Castro, David S.M. Ribeiro, João L.M. Santos, Ricardo N.M.J. Páscoa, Marieta L.C. Passos, M. Lúcia M.F.S. Saraiva

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The role of artificial intelligence in the treatment of obstructive sleep apnea by Hannah L. Brennan, Simon D. Kirby

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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

Subjects: “…Machine learning…”
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Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain. by Olga Sánchez, María del Mar Barbero-Barrera

Subjects: “…fault detection and diagnosis; thermal facilities; machine learning; scada; r software.…”
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Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

Subjects: “…Machine Learning Algorithms…”
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Distinctive blood and salivary proteomics signatures in Qatari individuals at high risk for cardiovascular disease by Ghada Yousif, Selvasankar Murugesan, Mohamed Nadhir Djekidel, Annalisa Terranegra, Giusy Gentilcore, Jean Charles Grivel, Souhaila Al Khodor

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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

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Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition by Dalia Baziukaitė

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Retrospective cohort study based on the MIMIC-IV database: analysis of factors influencing all-cause mortality at 30 days, 90 days, 1 year, and 3 years in patients with different t... by Xuehui Fan, Jing Xu, Ruixue Ye, Qiu Zhang, Yulong Wang

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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

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Solar Radiation Prediction Using Decision Tree and Random Forest Models in Open-Source Software by Tucumbi Lisbeth, Guano Jefferson, Salazar-Achig Roberto, Jiménez J. Diego L.

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Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea by Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz

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Blockchain network layer anomaly traffic detection method based on multiple classifier integration by Qianyi DAI, Bin ZHANG, Song GUO, Kaiyong XU

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Construction and validation of a risk prediction model for high altitude de-acclimatization syndrome by DING Yu, DING Yu, WANG Zejun, WANG Zejun, XIE Jiaxin, XIE Jiaxin

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Recognition and Classification of 3D Objects of Different Details by Islam A. Alexandrov, Maxim S. Mikhailov, Alexander N. Muranov, Vladimir Zh. Kuklin

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Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

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Machine-Learning Parsimonious Prediction Model for Diagnostic Screening of Severe Hematological Adverse Events in Cancer Patients Treated with PD-1/PD-L1 Inhibitors: Retrospective Observational Study by Using the Common Data Model by Seok Jun Park, Seungwon Yang, Suhyun Lee, Sung Hwan Joo, Taemin Park, Dong Hyun Kim, Hyeonji Kim, Soyun Park, Jung-Tae Kim, Won Gun Kwack, Sung Wook Kang, Yun-Kyoung Song, Jae Myung Cha, Sang Youl Rhee, Eun Kyoung Chung

“…The study aimed to develop a simple machine learning (ML) model for predicting irHAEs associated with PD-1/PD-L1 inhibitors. …”
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