A Comprehensive Guide to Interpretable AI-Powered Discoveries in Astronomy by Maggie Lieu

Subjects: “…machine learning…”
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A low-cost autonomous portable poultry egg freshness machine using majority voting-based ensemble machine learning classifiers by Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, Natee Thong-un

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A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

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Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models by Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi

Subjects: “…Machine learning…”
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An exploratory study of high-educated poverty through machine learning approach: a case study of East Java, Indonesia by Dias Satria, Risti Permani, Kodrad Winarno, David Kaluge, Citra Rahayu Indraswari, Radityo Putro Handrito

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Machine learning technology in the classification of glaucoma severity using fundus photographs by Sukhumal Thanapaisal, Passawut Uttakit, Worapon Ittharat, Pukkapol Suvannachart, Pawasoot Supasai, Pattarawit Polpinit, Prapassara Sirikarn, Panawit Hanpinitsak

Subjects: “…Machine learning…”
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Fast and Accurate Cross-PVT Full-Chip Leakage Power Estimation With Multi-Task Learning by Zhuomin Chai, Wei Liu, Yibo Lin, Runsheng Wang

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Machine-learning-assisted dual harmonic generation FROG for enhanced ultrafast pulse recovery by Wallace Jaffray, Ziheng Guo, Andrea Di Falco, Marcello Ferrera

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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

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Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning by Banu İsmail Mendi, Hatice Şanlı, Mert Akın Insel, Beliz Bayındır Aydemir, Mehmet Fatih Atak

Subjects: “…machine learning…”
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Anoikis-related biomarkers PARP1 and SDCBP as diagnostic and therapeutic targets for asthma by Li-jie Yang, Na-na Song, Ni-shan Deng, Miao-juan Zhu, Qing-qing Li, Si-si Huang, Xiu Shi, Zhen-Hong Hu, Han-Xiang Nie

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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

Subjects: “…machine learning…”
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A Machine Learning Model for Prostate Cancer Prediction in Korean Men by Sukjung Choi, Beomgi So, Shane Oh, Hongzoo Park, Sang Wook Lee, Geehyun Song, Jong Min Lee, Jung Ki Jo, Seon Hyeok Kim, Si Eun Lee, Eun-Bi Cho, Jae Hung Jung, Jeong Hyun Kim

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INOVASI TEKNOLOGI MACHINE LEARNING BAGI MASYARAKAT DI EKOWISATA SUNGKAI GREEN PARK NAGARI LAMBUNG BUKIT KECAMATAN PAUH PADANG by Maidi Rizki, Zaini Zaini, Muhammad Aditya Nikhaldo, Tesya Uldira Septiyeni, Teddy Yuliswar

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Mapping Machine Learning Trends in Chemistry Research using LLM with Multi-Turn Prompting by Andreo Yudertha, Riski Dwimalida Putri

Subjects: “…machine learning, tren, chemistry, llm…”
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Assimilating Observed Surface Pressure Into ML Weather Prediction Models by L. C. Slivinski, J. S. Whitaker, S. Frolov, T. A. Smith, N. Agarwal

Subjects: “…machine learning…”
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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

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Phenoflow-ML: A next-generation phenotyping framework to capture ML-based phenotypes by Antonio Lopez-Martinez-Carrasco

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A novel deep learning approach to identify embryo morphokinetics in multiple time lapse systems by Guillaume Canat, Antonin Duval, Nina Gidel-Dissler, Alexandra Boussommier-Calleja

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A New Physics-Inspired Discriminative Classifier by Mostafa Monemizadeh, Seyed Rouhollah Samareh Hashemi, Mohsen Sheikh-Hosseini, Hamed Fehri

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