A three-stage machine learning and inference approach for educational data by Ting Da

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Comprehensive duck DNA fingerprinting based on machine learning for breed identification by DengKe Yan, Feng Zhu, HaoLin Wang, ZhongTao Yin, ZhuoCheng Hou

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The Effects of Humidity on Cast PA6G during Turning and Milling Machining by Mustafa Bozdemir

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A Review of Simulations and Machine Learning Approaches for Flow Separation Analysis by Xueru Hao, Xiaodong He, Zhan Zhang, Juan Li

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The Process Quality Control Method Based on Coupling Machining Sensor Network by Liping Zhao, Guangzhou Diao, Yiyong Yao

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Machine-Reading Comprehension for Bridge Inspection Domain by Fusing Graph Embedding by Fangyue Xiang, Hongjin Zhu, YuFang Sun, Maobo Zheng, Wenyong Yan

“…In this study, we take the bridge inspection domain machine-reading comprehension corpus as the data support for model training and performance evaluation; oriented to the bridge inspection domain data text extraction machine-reading comprehension task, on the basis of word-granularity text input, we further explore two schemes of co-occurring linkage of cross-sentence entities in the context and co-occurring linkage of entities within the sentence through graph structure, and we learn and extract naming through graph-attentive neural networks-structured semantic information between entities and fused the obtained named entity embeddings with a hidden representation of the pretrained context. …”
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A Machine Learning Approach to Volume Tracking in Multiphase Flow Simulations by Aaron Mak, Mehdi Raessi

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Machine Learning-Based Forecasting Active Power Loss in Distribution Systems by Haider Waseem, Batool Seema, Milazzo Federica, Ha Quang P.

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ENHANCING CYBERSECURITY THROUGH MALWARE DETECTION BASED ON MACHINE LEARNING TECHNIQUE by Amer Mohamed Shhatha, Omar Ibrahim Alsaif

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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…The accurate prediction of joint shear strength is crucial for rock mass engineering design and geological hazard assessment. …”
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Traffic flow prediction based on improved deep extreme learning machine by Xiujuan Tian, Shuaihu Wu, Xue Xing, Huanying Liu, Heyao Gao, Chun Chen

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Impact of Machine Learning on Intrusion Detection Systems for the Protection of Critical Infrastructure by Avinash Kumar, Jairo A. Gutierrez

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Machine Learning and Artificial Intelligence in the Food Industry: A Sustainable Approach by Rajnish Kler, Ghada Elkady, Kantilal Rane, Abha Singh, Md Shamim Hossain, Dheeraj Malhotra, Samrat Ray, Komal Kumar Bhatia

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Sentiment analysis of emoji fused reviews using machine learning and Bert by Amit Khan, Dipankar Majumdar, Bikromadittya Mondal

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Comparative analysis of machine learning approaches for heatwave event prediction in India by Ritesh Choudary V, Anita Christaline Johnvictor, Prem Sankar N

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Combination of dynamic TOPMODEL and machine learning techniques to improve runoff prediction by Pin‐Chun Huang

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Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System by . Ruchika, Mayank Sharma, Syed Akhter Hossain

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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

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Machine Learning for Dynamic Pressure Coefficient Prediction in Vertical Water Jets by Amin Salemnia, Seyedehmaryam Hosseini Boldaji, Vida Atashi, Manoochehr Fathi-Moghadam

“…This study emphasizes the importance of the Froude number in predicting jet behavior and shows the efficacy of advanced machine learning models in capturing complex fluid dynamics, providing valuable insights for optimizing engineering applications such as water jet cutting and cooling systems.…”
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Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning by Ciyun Lin, Hongli Zhang, Bowen Gong, Dayong Wu

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