Cells use dual strategies to fine-tune inflammatory gene activation

Inflammation has to fight pathogens fast—but it can't get out of control. Researchers at the German Cancer Research Center ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
IEEE

AFLoc: A Deep Learning Indoor Localization Method With Trainable Activation Functions

Abstract: With the advancement of the Internet of Things (IoT) and the rise of smart cities, achieving efficient and accurate indoor localization has become essential for indoor location-based ...
Hosted on MSN

What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...
Frontiers

LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification

Hunan Engineering and Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, China In the context of intelligent agriculture in China ...
IEEE

ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions

Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...
Scientific Research Publishing

Dubey, S.R., Singh, S.K. and Chaudhuri, B.B. (2022) Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark. Neurocomputing, 503, 92-108.

ABSTRACT: Neuroleptic Malignant Syndrome (NMS) and severe anticholinergic adverse drug reactions (ADRs) are rare but life-threatening complications associated with antipsychotic pharmacotherapy. These ...
Frontiers

Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud

Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the ...