IEEE

UAV classification using Attentive Binarized CNN for micro-Doppler spectrograms

Abstract: Radar-based micro-Doppler spectrograms offer a robust representation for classifying aerial objects, particularly small Unmanned Aerial Vehicles (UAVs), in scenarios where optical sensing is ...
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Fly over Mars' 'Noctis Labyrinthus' in this visualization from spacecraft data

Data from the Mars Express orbiter has been used to create a visualization of "a vast system of deep and steep valleys that stretches out for around 1190 km," on Mars called Noctis Labyrinthus, ...
cc.gatech.edu

‘Yellow Jacket Swarm’ Visualizes Georgia Tech’s Impact at Upcoming CHI 2026

Georgia Tech is capturing international attention as its researchers earn early recognition ahead of next month’s ACM CHI 2026 conference, the premier event in human-computer interaction (HCI). The ...
IEEE

Robot-Mediated Explainability for CNN-Based Complex Emotion Recognition: Aligning Visual Attributions with Social Robot Behavior for Trust-Aware HRI

Abstract: In recent years, the development of socially interactive robots has heightened the need for interpretable and trustworthy models capable of recognizing complex human emotions in real time.
IEEE

Diffusion Model-Based Data Augmentation with Mel Spectrogram for Automatic Modulation Recognition in Underwater Acoustic Communication

Abstract: Automatic modulation recognition (AMR) in underwater acoustic (UWA) communications is limited by scarce training data and channel impairments such as multipath propagation, Doppler shifts, ...
IEEE

Human Daily Activity Recognition using Spectrogram and 2D-CNN Through Doppler Radar

Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...
IEEE

Deep Spectrogram-Based EEG Decoding of Visual Stimuli Using a Novel CNN Architecture

Abstract: Electroencephalography EEG - based decoding of visual stimuli has gained traction in computational neuroscience and brain-computer interface applications. This study explores the feasibility ...
IEEE

Clinically Oriented CNN–Transformer Architectures for Reliable Bronchoscopic Recognition of Lung Lesions and Anatomical Structures

Abstract: Bronchoscopy is central to diagnosing central lung cancers but remains limited by reliance on operator expertise and variability in visual interpretation. In this work, we adapt and evaluate ...
IEEE

TifinNet: CNN–Transformer Hybrid Architecture for Tifinagh Handwritten Recognition

Abstract: Handwritten Optical Character Recognition (OCR) for the Tifinagh script remains a challenging task due to the script’s geometric complexity, high similarity among rotated characters, and the ...
IEEE

Detecting Deep Fake Audio: A Hybrid CNN-LSTM Approach Leveraging Spectrogram Analysis

Abstract: The rapid progress in audio synthesis technologies allows the generating of artificial audio deep-fakes that sound convincingly real, thus causing security, privacy, and authenticity ...
IEEE

Lightweight and Personalized Single-Eye Emotion Recognition via CNN-SNN Spatiotemporal Learning and Memory-Inferred Event Features

Abstract: Emotion recognition is essential for improving user experience and interaction quality in human-centered applications. While recent studies have leveraged both event and traditional cameras ...