IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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IEEE

Detection technique of LPI radar signal based on phase feature screening

Abstract: Low interception probability (LPI) waveforms have wide applications in radar and electronic warfare, which are characterized by low transmit power, wide spectrum, and long pulse width. LPI ...
IEEE

Fusion of Static and Dynamic Features of Vision Signal Based on Transformer for Penetration Depth Forecasting in Laser Beam Oscillation Welding

Abstract: The penetration depth is a key factor that determines the load-bearing capacity of welded joint, so its monitoring is particularly important. Compared with image-based deep learning, the ...
IEEE

Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...
CNN

South Korea will end breeding of bears and extraction of their bile

South Korea said it will formally end its dwindling yet much-criticized bear bile farming industry this week, though about 200 bears are still kept in pens and raised for their gallbladders. The ...
IEEE

MHAFF: Multihead Attention Feature Fusion of CNN and Transformer for Cattle Identification

Abstract: Convolutional neural networks (CNNs) have drawn researchers’ attention to identifying cattle using muzzle images. However, CNNs often fail to capture long-range dependencies within the ...
IEEE

MFENet: A Multi-Feature Extraction Network for Enhanced Emotion Detection Using EEG and STFT

Abstract: Developing computationally efficient models for EEG-based emotion recognition is essential for enabling scalable and responsive brain-computer interface (BCI) systems. However, the inherent ...
IEEE

Research on Infrared Small Target Detection Method Based on the Extraction and Combination of Deep and Shallow Features

Abstract: Infrared detection imaging technology primarily relies on the interaction between objects and infrared radiation, featuring strong anti-interference capabilities and excellent concealment.
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
Erie News Now

School pick up turns into python sighting on Marco Island

MARCO ISLAND, Florida (WBBH) -- A quick school pick up turned into a wild Florida moment when a Marco Island dad spotted something slithering along the side of the road — and it wasn’t a garden hose.