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Navigating a Patent Gap for AI and Machine Learning Algorithms
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
archive16d
Introduction to machine learning with Python : a guide for data scientists : Mu ller, Andreas C., author : Free Download, Borrow, and Streaming : Internet Archive
Introduction to machine learning with Python : ... With all the data available today, machine learning applications are limited only by your imagination. ... Pdf_module_version 0.0.23 Ppi 360 Rcs_key ...
IEEE24d
A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management
In this paper, the different machine learning and data mining approaches used for Residential Energy Smart Management (RESM) will be discussed and classified according to some meaningful criteria. The ...
ahajournals.org24d
Machine Learning to Automatically Differentiate Hypertrophic Cardiomyopathy, Cardiac Light Chain, and Cardiac Transthyretin Amyloidosis: A Multicenter CMR Study | Circulation ...
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy. Nat Commun . 2021;12:2725. doi: 10.1038/s41467-021-22876-9 Crossref ...
IEEE28d
Multimedia data mining using deep learning - IEEE Xplore
As the mining techniques have matured, new techniques were developed. A lot of progress has been made in areas such as visual data mining and natural language processing using deep learning techniques ...
Phys.org29d
AI model uses transfer learning to forecast storm flooding in data-scarce areas - Phys.org
The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially devastating storms whose heavy rainfall and powerful storm surges cause ...