Usi intelligenti dell’intelligenza artificiale. Il man-with-the-machine learning by Roberto Trinchero

“…THE MAN-WITH-THE-MACHINE LEARNING Abstract The use of artificial intelligence systems capable of conversing in natural language with humans and responding to precise inquiries by leveraging a network-powered knowledge base (chatbots) is also expanding into the educational field, suggesting new possibilities and risks. …”
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Scheme for identifying malware traffic with TLS data based on machine learning by Ziming LUO, Shubin XU, Xiaodong LIU

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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

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Machine learning-based characteristic identification of MSG content in gravy foods by Rosyady Phisca Aditya, Habibah Nurina Umy, Masita, Yudhana Anton

“…Therefore, this research aims to detect the level of MSG content in soupy foods using Machine Learning. This research determines the identification of MSG using the Machine Learning method Naive Bayes classifier algorithm in Python software. …”
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FAIRness Along the Machine Learning Lifecycle Using Dataverse in Combination with MLflow by Lincoln Sherpa, Valentin Khaydarov, Ralph Müller-Pfefferkorn

Subjects: “…machine learning (ml)…”
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Credit risk prediction with corruption perception index: machine learning approaches by Cuong Nguyen Thanh, Tam Phan Huy, Tuyet Pham Hong, An Bui Nguyen Quoc

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Machine learning techniques for non-destructive estimation of plum fruit weight by Atefeh Sabouri, Adel Bakhshipour, Mehrnaz Poorsalehi, Abouzar Abouzari

“…We aimed to evaluate various machine learning (ML) techniques for this purpose. Images of fruit samples were captured using a smartphone camera, processed to extract binary images, and used to calculate dimensions. …”
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Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity by Chinnaraji Annamalai

“…Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

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Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms by Vikas Kumar, Manoranjan Sahu, Pratim Biswas

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Advances in the application of multi-omics and machine learning technologies in sepsis research by Chen Pengpeng, Yang Jie, Jin Xinhao, Zhang Bo, Yang Suibi, Hong Yucai, Ni Hongying, Zhang Zhongheng

“…In recent years, the combination of multiomics technologies and machine learning has led to significant breakthroughs in sepsis research, providing new prospects for early diagnosis, precise treatment, and personalized interventions. …”
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Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods by Hongqing Song, Shuyi Du, Ruifei Wang, Jiulong Wang, Yuhe Wang, Chenji Wei, Qipeng Liu

“…With the rapid development of computer technology, some machine learning methods have begun to gradually integrate into the petroleum industry and have achieved some achievements, whether in conventional or unconventional reservoirs. …”
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Machine Learning–Based Predictive Farmland Optimization and Crop Monitoring System by Marion Olubunmi Adebiyi, Roseline Oluwaseun Ogundokun, Aneoghena Amarachi Abokhai

“…This study provided a machine learning–aided mobile system for farmland optimization, using various inputs such as location, crop type, soil type, soil pH, and spacing. …”
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Application of machine learning in depression risk prediction for connective tissue diseases by Leilei Yang, Yuzhan Jin, Wei Lu, Xiaoqin Wang, Yuqing Yan, Yulan Tong, Dinglei Su, Kaizong Huang, Jianjun Zou

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Advances in the clinical application of machine learning in acute pancreatitis: a review by Zhaowang Tan, Gaoxiang Li, Yueliang Zheng, Qian Li, Wenwei Cai, Jianfeng Tu, Senjun Jin

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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

Subjects: “…machine learning…”
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Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets by Hadi Salloum, Kamil Sabbagh, Vladislav Savchuk, Ruslan Lukin, Osama Orabi, Marat Isangulov, Manuel Mazzara

“…We compare QAML with classical machine learning to evaluate their relative performance. …”
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Truth, beauty, and goodness in grand unification: A machine learning approach by Shinsuke Kawai, Nobuchika Okada

“…We investigate the flavour sector of the supersymmetric SU(5) Grand Unified Theory (GUT) model using machine learning techniques. The minimal SU(5) model is known to predict fermion masses that disagree with observed values in nature. …”
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Substorm Onset Prediction Using Machine Learning Classified Auroral Images by P. Sado, L. B. N. Clausen, W. J. Miloch, H. Nickisch

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