Explainable Deep Learning to Predict Kelp Geographical Origin from Volatile Organic Compound Analysis by Xuming Kang, Zhijun Tan, Yanfang Zhao, Lin Yao, Xiaofeng Sheng, Yingying Guo

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Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

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Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach by Abdulmohsen Algarni, Iqrar Shah, Ali Imran Jehangiri, Mohammed Alaa Ala'Anzy, Zulfiqar Ahmad

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Machine Learning‐Based Mobile Application for Predicting Posterior Canal Benign Paroxysmal Positional Vertigo by Emre Soylemez, Sait Demir, Kasım Ozacar

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Prediction of Influence of Environmental Factors on the Toxicity of Pentachlorophenol on <i>E. coli</i>-Based Bioassays by Sulivan Jouanneau, Gerald Thouand

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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. by Kang Xu, Bin Pan, MingXin Zhang, Xuan Zhang, XiaoYu Hou, JingXian Yu, ZhiZhu Lu, Xiao Zeng, QingQing Jia

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Remaining useful life prediction method of centrifugal pump rolling bearings based on digital twins by ShengWen Zhou, Li Zhang, Xiaoming Yang, Ruiping Luo, BaiGang Du, Wenhui Zeng

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Incorporating subjective survival information in mortality and change in health status predictions: A Bayesian approach by Apostolos Papachristos, Dimitrios Fouskakis

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Classification prediction of load losses in power stations using machine learning multilayer stack ensemble by Bathandekile M. Boshoma, Oluwole S. Akinola, Peter Olukanmi, Peter Olukanmi

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Enhancing Asset Reliability and Sustainability: A Comparative Study of Neural Networks and ARIMAX in Predictive Maintenance by Salvador Perez-Garcia, Cristina Gonzalez-Gaya, Miguel A. Sebastian

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Leveraging machine learning and molecular docking techniques to predict novel melanocortin-4 receptor agonists by Stavroula Giakoumopoulou, Paris Christodoulou, Minos-Timotheos Matsoukas, Vasilis Panagiotopoulos, Dionisis Cavouras, Eftichia Kritsi

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Numerical Prediction of the Influence of Particle Properties on the Hydraulic Performance and Wear of a Self‐Priming Pump by Ying‐Yu Ji, Ze‐Zhou Yang, Yu‐Liang Zhang, Kai‐Yuan Zhang

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GPCR-A17 MAAP: mapping modulators, agonists, and antagonists to predict the next bioactive target by Ana B. Caniceiro, Ana M. B. Amorim, Nícia Rosário-Ferreira, Irina S. Moreira

“…To address the growing need for effective treatments, the GPCR-A17 Modulator, Agonist, Antagonist Predictor (MAAP) was introduced as an advanced ensemble machine learning model that combines XGBoost, Random Forest, and LightGBM to predict the functional roles of agonists, antagonists, and modulators in GPCR-A17 interactions. …”
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Machine learning predicting acute pain and opioid dose in radiation treated oropharyngeal cancer patients by Vivian Salama, Vivian Salama, Laia Humbert-Vidan, Brandon Godinich, Brandon Godinich, Kareem A. Wahid, Kareem A. Wahid, Dina M. ElHabashy, Mohamed A. Naser, Renjie He, Abdallah S. R. Mohamed, Ariana J. Sahli, Katherine A. Hutcheson, Gary Brandon Gunn, David I. Rosenthal, Clifton D. Fuller, Amy C. Moreno

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Virtual ankle-brachial index - Can we predict the immediate outcome of femorodistal bypass surgery? by Sekulić Dragan B., Tomić Aleksandar P., Dimić Andreja D., Mitrović Aleksandar C., Davidović Lazar B., Paunović Dragana S., Nikolić Dalibor D., Miladinović Uroš M., Sekulić Igor M., Rančić Nemanja K., Šarac Momir M., Marjanović Ivan R., Leković Ivan R., Milev Boško I.

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Virtual position predictive control with system delay observer to improve PMLSM position tracking accuracy by Rongkun Wang, Congwei Su, Quankai Du, Qibin Xiong, Yujia Zhuang, Xinyi Zhang, Xinhua Guo

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Prediction of Residual Stresses During the Hot Forging Process of Spherical Shells Based on Microstructural Evolution by Yupeng Wu, Jiasheng Li, Zhaocheng Wei, Yuxin Fang, Hongxia Li, Ming Huang

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Prediction of Graduate Career Relevance Based on Academic and Non-Academic Aspects using Machine Learning by Muhammad Yusuf Luthfi Ijlal, Arif Setiawan, Diana Laily Fithri

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Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally by Md. Siddikur Rahman, Abu Bokkor Shiddik

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Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size by Yong-Hoon Byun, Juik Son, Jungmin Yun, Hyunwook Choo, Jongmuk Won

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