The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Accelerated Organic Crystal Structure Prediction with Genetic Algorithms and Machine Learning. Amit Kadan * Amit Kadan. Good Chemistry Company, 1285 W Pender Street, ... By leveraging machine learning ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Many research groups presented various machine learning (ML) and image processing methods for classifying GI tract diseases in recent times. ... This study presents a Modified Salp Swarm Algorithm ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. ... Pdf_module_version 0.0.23 Ppi 360 Rcs_key 24143 ...

Our prediction models used the following machine learning techniques- Logistic Regression, Decision Tree, Support Vector Machine, XGBoost, LightGBM, Random Forest, KNN, and Bagging and were able to ...