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C&EN2d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
CRN2d
The 10 Hottest Data Science And Machine Learning Tools Of 2025 (So Far)
The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...
Scientific Research Publishing17d
Ashar Ahmed Fazal, and Maryam Daud, (2023) Detecting Phishing Websites Using Decision Trees: A Machine Learning Approach. International Journal for Electronic Crime ...
The ability of Machine learning and ensemble ... particularly focusing on algorithms like Random Forest, Gradient Boosting, and AdaBoost, in addition to traditional classification techniques like ...
World Scientific18d
A Deep Reinforcement Learning Method for Multiple AGV Path Planning Based on MATD3 Algorithm
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, P. R. China Key Laboratory of Networked Control Systems, Shenyang Institute of ...
Frontiers18d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
It first performs decision tree modeling on these samples ... The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds ...
Medical Xpress24d
Machine learning algorithm brings long-read sequencing to the clinic
To address this challenge, researchers developed SAVANA, a new algorithm which they describe in the journal Nature Methods. SAVANA uses machine learning to accurately identify structural variants ...
IEEE27d
Personalized Decision-Making Framework for Collaborative Lane Change and Speed Control Based on Deep Reinforcement Learning
Abstract: Autonomous driving (AD) is critically dependent on intelligent decision ... based on deep reinforcement learning (DRL). The upper layer adopts the action shielding mechanism-based ...
IEEE27d
Dynamic multi-target jamming channel allocation and power decision-making in wireless communication networks: A multi-agent deep reinforcement learning approach
We propose a novel jamming channel allocation and power decision-making (JCAPD) approach based on multi-agent deep reinforcement learning (MADRL ... fingerprint-based double deep Q-Network (FBDDQN) ...