„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage
  Zeng, Weixiong ; Chen, Jiaying ; Shen, Linling ; Xia, Genghong ; Xie, Jiahui ; Zheng, Shuqiong ; He, Zilong ; Deng, Limei ; Guo, Yaya ; Yang, Jingjing ; Lv, Yijun ; Qin, Genggeng ; Chen, Weiguo ; Yin, Jia ; Wu, Qiheng
• Scalable machine learning approach to light induced order disorder phase transitions with ab initio accuracy
  Corradini, Andrea ; Marini, Giovanni ; Calandra, Matteo
• Brain tumor classification on MRI images using fine-tuned deep learning models
  R. V., Manjunath ; N., Yashaswini Gowda ; H. M., Manu ; K. N., Bharath ; R., Manasa
• Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping
  Ha, Duong Hai ; Nguyen, Phong Tung ; Costache, Romulus ; Al-Ansari, Nadhir ; Phong, Tran Van ; Nguyen, Huu Duy ; Amiri, Mahdis ; Sharma, Rohit ; Prakash, Indra ; Le, Hiep Van ; Nguyen, Hanh Bich Thi ; Pham, Binh Thai
• Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models
  Tuyen, Tran Thi ; Al-Ansari, Nadhir ; Nguyen, Dam Duc ; Le, Hai Minh ; Phan, Thi Nga Quynh ; Prakash, Indra ; Costache, Romulus ; Pham, Binh Thai
• Predicting rainfall using machine learning, deep learning, and time series models across an altitudinal gradient in the North-Western Himalayas
  Wani, Owais Ali ; Sheraz Mahdi, Syed ; Yeasin, Md ; Kumar, Shamal Shasang ; Gagnon, Alexandre S. ; Danish, Faizan ; Al-Ansari, Nadhir ; El‑Hendawy, Salah ; Mattar, Mohamed A.
• Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis
  Roy, Subhrajit ; Mincu, Diana ; Proleev, Lev ; Ghate, Chintan ; Graves, Jennifer S. ; Steiner, David F. ; Hartsell, Fletcher Lee ; Heller, Katherine
• Development of Machine Learning Regression Models to Assess Von Mises Stresses of Miter Bend
  Rathod, Nirav ; Patel, Dilip
• Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis
  Hu, Dongliang ; Cui, Manman ; Zhang, Xueke ; Wu, Yuanyuan ; Liu, Yan ; Zhai, Duchang ; Guo, Wanliang ; Ju, Shenghong ; Fan, Guohua ; Cai, Wu
• A data-driven approach for predicting crime occurrence using machine learning models
  Shohan, Faisal Tareque ; Akash, Abu Ubaida ; Ibrahim, Muhammad ; Alam, Mohammad Shafiul
• Machine learning in concrete durability: challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models
  Taffese, Woubishet Zewdu ; Hilloulin, Benoît ; Villagran Zaccardi, Yury ; Marani, Afshin ; Nehdi, Moncef L. ; Hanif, Muhammad Usman ; Kamath, Muralidhar ; Nunes, Sandra ; Greve-Dierfeld, Stefanie von ; Kanellopoulos, Antonios
• Predicting surface roughness in dry machining of AISI H13 steel: a comparison of machine learning and GPT-based models with ceramic cutting tool
  Souza, Alex Fernandes de ; Neto Verri, Filipe Alves ; da Silva Campos, Paulo Henrique ; Balestrassi, Pedro Paulo
• Optimal Markowitz portfolio using returns forecasted with time series and machine learning models
  Ślusarczyk, Damian ; Ślepaczuk, Robert
• Deep learning retrieval of 3D casting models combined with professional knowledge for process reuse
  Pei, Xiao-long ; Hou, Hua ; Chen, Li-wen ; Duan, Zhi-qiang ; Zhao, Yu-hong
• Hidden challenges in evaluating spillover risk of zoonotic viruses using machine learning models
  Kawasaki, Junna ; Suzuki, Tadaki ; Hamada, Michiaki
• Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature
  Patel, Pragati ; B., Sivarenjani ; Annavarapu, Ramesh Naidu
• Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study
  Bialonczyk, Urszula ; Debowska, Malgorzata ; Dai, Lu ; Qureshi, Abdul Rashid ; Bobrowski, Leon ; Soderberg, Magnus ; Lindholm, Bengt ; Stenvinkel, Peter ; Lukaszuk, Tomasz ; Poleszczuk, Jan
• Estimating saltwater wedge length in sloping coastal aquifers using explainable machine learning models
  Armanuos, Asaad M. ; Elshaarawy, Mohamed Kamel
• Unveiling lipoprotein subfractions signature in high-FNPO PCOS: implications for PCOM diagnosis and risk assessment using advanced machine learning models
  Yan, Xueqi ; Yang, Ziyi ; Zhao, Hui ; Feng, Gengchen ; Li, Shumin ; Li, Yimeng ; Sun, Yu ; Ma, Jinlong ; Zhao, Han ; Gao, Xueying ; Zhao, Shigang
• Evaluating the machine learning‑based models for predicting carbon neutrality in Sub-Saharan African Nations
  Agan, Busra ; Celik, Serdar ; Damak, Obadiah Ibrahim ; Miba’am, Benjamin