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IEEE

Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms

Abstract: Heart failure is a critical condition with a high mortality rate, making accurate survival prediction essential for timely interventions. This study proposes an optimized machine learning ...
GitHub

High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In ...

in-memory Use In-Memory as storage backend. redis Use Redis as storage backend. If you want to throttle the same Key at different locations in your program, make sure that Throttled receives the same ...
IEEE

Severity Classification of Freezing of Gait Using Machine-Learning Algorithms: A Hidden State Model Approach

Abstract: E-health sensors and wearables play an important role in the detection and classification of many chronic diseases. A chronic disease requires active monitoring and its severity increases ...
C&EN

Enhanced Room Temperature Sensing Properties of Tin Oxide Gas Sensors Exploiting Carbon Nanotubes: High-Accuracy Ammonia Gas Classification via Supervised Learning Regression ...

National Institute of Advanced Industrial Science and Technology (AIST), 205 Sakurazaka 4-chome, Moriyama-ku, Nagoya, 463-8560, Japan ...