Results 31 to 40 of about 32,654 (268)

Machine learning-driven sedation-analgesia optimization in mechanically ventilated sepsis patients: a retrospective MIMIC-IV analysis

Frontiers in Pharmacology
BackgroundIn the intensive care unit (ICU), septic patients frequently require endotracheal intubation followed by invasive mechanical ventilation. Nonetheless, the optimal sedation-analgesia regimen for these critically ill patients remains undetermined.
Qinxue Hu, Tao Xu, Xiaolan Gao, Xianying Lei, Lirong Hu   +4 more
doaj   +1 more source

Hybrid Neural Network-Based Intrusion Detection System: Leveraging LightGBM and MobileNetV2 for IoT Security

Symmetry
The rapid expansion of the Internet of Things (IoT) has uncovered a significant asymmetry in cybersecurity, where low-power edge devices must face sophisticated threats from adversaries backed by ample resources.
Yi-Min Yang, Ko-Chin Chang, Jia-Ning Luo
semanticscholar   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Optimized LightGBM Model for Predicting Total Cup Points of Arabica Coffee using Sensory Cupping Data

Jurnal Teknologi dan Manajemen Informatika
Evaluating coffee quality through sensory cupping is essential but inherently subjective, as scoring depends on the consistency and expertise of professional panelists.
Arya Rezagama Sudrajat, Ricardus Anggi Pramunendar, Mohammad Syaifur Rohman   +2 more
doaj   +1 more source

Prediction of potential small molecule−miRNA associations based on heterogeneous network representation learning

Frontiers in Genetics, 2022
MicroRNAs (miRNAs) are closely associated with the occurrences and developments of many complex human diseases. Increasing studies have shown that miRNAs emerge as new therapeutic targets of small molecule (SM) drugs. Since traditional experiment methods
Jianwei Li, Jianwei Li, Hongxin Lin, Yinfei Wang, Zhiguang Li, Baoqin Wu   +5 more
doaj   +1 more source

Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility [PDF]

, 2018
The uncertainty of the take-off time is a major contribution to the loss of trajectory predictability. At present, the Estimated Take-Off Time (ETOT) for each individual flight is extracted from the Enhanced Traffic Flow Management System (ETFMS ...
Ballerini, Franck, Belkoura, Seddik, Dalmau Codina, Ramon, Naessens, Herbert, Wagnick, Sebastian   +4 more
core  

TreeGrad: Transferring Tree Ensembles to Neural Networks

, 2019
Gradient Boosting Decision Tree (GBDT) are popular machine learning algorithms with implementations such as LightGBM and in popular machine learning toolkits like Scikit-Learn.
C Siu, DH Wolpert, F Pedregosa, JA Blackard, JH Friedman, K Nakai, L Breiman, SK Murthy   +7 more
core   +1 more source

Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research [PDF]

Applied and Computational Engineering
Mobile Internet user credit assessment is an important way for communication operators to establish decisions and formulate measures, and it is also a guarantee for operators to obtain expected benefits.
Shaojie Li, Xinqi Dong, Danqing Ma, Bo Dang, Hengyi Zang, Yulu Gong   +5 more
semanticscholar   +1 more source

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

Advanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu, Xiaoming Shi, Zhaochen Xi, Shouzhe Dong, Changqing Guo, Rongzhen Gao, Letao Yang, Jing Wang, Di Zhou, Houbing Huang   +9 more
wiley   +1 more source

Application of near-infrared spectroscopy and CNN-TCN for the identification of foreign fibers in cotton layers

Journal of Natural Fibers, 2023
Foreign fibers in cotton layers have a particular impact on the quality of the cotton. Traditional image processing methods are ineffective in detecting foreign fibers in cotton layers, which are time-consuming and costly.
Yu Hong Du, Xueliang Li, Weijia Ren, Hengli Zuo   +3 more
doaj   +1 more source