Empowering Software Development with Machine Learning by Sateesh Nayani, Suryanarayana S.V., Rani Rella Usha, Sunanda S.

“…Machine learning (ML) has emerged as a transformative technology across various domains, including software development. …”
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Machine Learning-Driven Innovations in Microfluidics by Jinseok Park, Yang Woo Kim, Hee-Jae Jeon

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APPLICATION OF MACHINE LEARNING IN BEHAVIORAL MODIFICATION by Sudeep Varshney, Aditi Chandra, Pushpendra Kumar Rajput, Sunil Kumar, Gunjan Varshney

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Identification of Complicated Lithology with Machine Learning by Liangyu Chen, Lang Hu, Jintao Xin, Qiuyuan Hou, Jianwei Fu, Yonggui Li, Zhi Chen

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Machine learning-driven nanoparticle toxicity by Zied Hosni, Sofiene Achour, Fatma Saadi, Yangfan Chen, Mohammed Al Qaraghuli

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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

“…The integration of machine learning (ML)-type algorithms in geriatrics represents a direction for optimizing prevention, diagnosis, prediction, monitoring, and treatment. …”
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Advancing Regulatory Genomics With Machine Learning by Laurent Bréhélin

“…In recent years, several machine learning (ML) approaches have been proposed to predict gene expression signal and chromatin features from the DNA sequence alone. …”
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Characterizing privacy in quantum machine learning by Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia

“…Abstract Ensuring data privacy in machine learning models is critical, especially in distributed settings where model gradients are shared among multiple parties for collaborative learning. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…This study highlights the potential and limitations of machine learning in stroke prediction, showing that people need further optimization to enhance diagnostic performance.…”
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Machine Learning for Wind Speed Estimation by Ilker Karadag, Miray Gür

“…However, the advent of machine learning (ML) has introduced innovative methodologies that extend beyond these conventional approaches, offering new insights and applications in architectural design. …”
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Enhanced chaotic communication with machine learning by Ji Xia, Luonan Chen, Huan-Fei Ma

“…In this work, a machine-learning-based framework is proposed for the chaotic shift keying scheme, which is robust against noise deterioration. …”
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Editorial: Applications of machine learning in volcanology by Pierdomenico Romano, Bellina Di Lieto, Silvia Scarpetta, Carmen Benítez, Yosuke Aoki

Subjects: “…machine learning in volcanology…”
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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

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Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

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Hands-On Introduction to Quantum Machine Learning by Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen

“…Building on that, foundational concepts of quantum machine learning (QML) are introduced (parametrized circuits, data encoding, and feature mapping). …”
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Integrating Machine Learning and Educational Robotics by Charles Soares Pimentel, Fábio Ferrentini Sampaio

“…The scripted activities focused on the mathematical calculations involved in the algorithm's training and classification phases, enhancing students' understanding of machine learning (ML). The results showed that students grasped both the functioning of the WiSARD algorithm and the mathematical principles behind it. …”
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Application of machine learning in hepatocellular carcinoma by NIU Riyu, WANG Xin, LIU Dingjing, LI Chengzhong

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Machine Learning Using Approximate Computing by Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell

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