Pistachio Classification Based on Acoustic Systems and Machine Learning by Yavuz Türkay, Zekiye Seyma Tamay

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Machine learning for experimental design of ultrafast electron diffraction by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

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Robust and Scalable Quantum Repeaters Using Machine Learning by Diego Fuentealba, Jackson Dahn, James Steck, Elizabeth Behrman

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Intelligent nanophotonics: when machine learning sheds light by Nanfan Wu, Yuxiang Sun, Jingtian Hu, Chuang Yang, Zichun Bai, Fenglei Wang, Xingzhe Cui, Shengjie He, Yingjie Li, Chi Zhang, Ke Xu, Jun Guan, Shumin Xiao, Qinghai Song

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Generative language models potential for requirement engineering applications: insights into current strengths and limitations by Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst, Andreas Dengel

“…Across 4 different public benchmark datasets of requirement engineering tasks, it compares performance of both language models with existing task specific machine/deep learning predictors and traditional language models. …”
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Analyzing Student Graduation and Dropout Patterns Using Artificial Intelligence and Survival Strategies by Behrouz Alefy, Vahid Babazadeh

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Corrosion area detection and depth prediction using machine learning by Eun-Young Son, Dayeon Jeong, Min-Jae Oh

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AI-aided short-term decision making of rockburst damage scale in underground engineering by Chukwuemeka Daniel, Shouye Cheng, Xin Yin, Zakaria Mohamed Barrie, Yucong Pan, Quansheng Liu, Feng Gao, Minsheng Li, Xing Huang

“…Rockbursts pose severe risks to underground engineering projects, including mining and tunnelling, where sudden rock failures can lead to substantial infrastructure damage and loss of human lives. …”
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Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions by Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Peijin Zeng, Peijin Zeng, Peijin Zeng, Xinyue Li, Kelvin Kam-Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan

“…This study explores the application of IoT-enabled, AI-driven systems for detecting and managing Dry Eye Disease (DED), emphasizing the use of prompt engineering to enhance system performance.MethodsA specialized prompt mechanism was developed utilizing OpenAI GPT-4.0 and ERNIE Bot-4.0 APIs to assess the urgency of medical attention based on 5,747 simulated patient complaints. …”
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A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

“…In contrast, Deep Learning (DL) models paired with Automated Machine Learning techniques can decrease the reliance on manual feature engineering, thereby enabling automatic fine-tuning of numerous model configurations. …”
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On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2... by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

“…Engineering tool designs through geometrical changes and surface texturing is gaining attention to enhance the tribological behaviour in metal processing industries. …”
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Optimal Placement of Wind Power System Using Machine Learning by Abdul Karim, Muhammad Amir Raza, Darakhshan Ara, Muhammad Shahid, Shakir Ali Soomro

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Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models by Samira Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, Mehdi Adda

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Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

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Optimizing translation for low-resource languages: Efficient fine-tuning with custom prompt engineering in large language models by Pitso Walter Khoboko, Vukosi Marivate, Joseph Sefara

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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…We will explore how Google Earth Engine provides a robust platform for accessing vast geospatial datasets and performing complex analyses. …”
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Leveraging dense layer hybrid graph neural networks for managing overvoltage in PV-dominated distribution systems by Asif Gulraiz, Syed Sajjad Haider Zaidi, Haseeb Gulraiz, Bilal Muhammad Khan, Majid Ali, Baseem Khan

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Daily runoff forecasting using novel optimized machine learning methods by Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, Essam Heggy, Shahab S. Band

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Increasing the energy efficiency of auxiliary machines of AC electric locomotive by Yu. M. Kulinich, S. A. Shukharev, A. V. Gulyaev

“…The auxiliary asynchronous machines of these locomotives are controlled by the vector control method. …”
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Design and Performance of a Planetary Gearbox with Two DOFs by Dana Tulekenova, Marco Ceccarelli, Konstantin Ivanov, Matteo Russo

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