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Silent Signals: How AI Can Read Between The Lines In Your Voice
As we build machines that listen not just to our words but to our emotions, the responsibility to use that power ethically ...
A geometric link: Convexity may bridge human and machine intelligence
In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...
IEEE2d
Deep Forest based EEG Signal Analysis and Classification
This work focuses on the development of a deep forest-based EEG signal analysis and classification system for the detection of cognitive states. The dataset used in this study was self-acquired using ...
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 ...
Frontiers6d
Deep Reinforcement Learning-Based Optimization for RIS-Based UAV-NOMA Downlink Networks (Invited Paper) - Frontiers
In terms of policy-based reinforcement learning, policy gradient (PG) has the capability to solve problems with continuous action. However, PG easily convergences to a local optimal. Deep Q Network ...
Engineering Trust Into Data and Safety: Nithin Vunnam’s Cross-Functional Approach
Nithin Vunnam is an enterprise architect and data-strategy leader with fourteen years of experience spanning ERP optimisation, AI-driven safety systems, and petabyte-scale analytics.
IEEE6d
ECG Signal Reconstruction via Doppler Sensor by Hybrid Deep Learning Model With CNN and LSTM - IEEE Xplore
Thus, we construct the deep learning model that extracts the spatial and temporal features from the heartbeat signal by CNN and LSTM. Based on the extracted features, the ECG signal is reconstructed.