IEEE

Python Overheads Using Ackermann Function Benchmark: Performance and Power Consumption

Abstract: The main focus of this manuscript is on the impact of running Python codes in two different environments. Firstly, the Python Integrated Development and Learning Environment (IDLE), and ...
IEEE

Feature Extraction Based On Signal Similarity for Damage Detection with Ultrasonic Guided Waves

Abstract: Structural health monitoring is crucial for safeguarding critical infrastructure and requires the use of traceable methods. Hence, using explainable machine learning (ML) becomes ...
IEEE

Graph-Based Radiomics Feature Extraction From 2D Retina Images

Abstract: Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. The radiomics ...
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 ...
SiliconANGLE

Unusual raises $3.6M to shape how AI models talk about brands

Unusual, a startup that focuses on changing how artificial intelligence models talk about brands, today announced it has raised $3.6 million in early-stage funding. Investors in the round included ...
IEEE

Research on Communication Signal Recognition based on CNN-LSTM Neural Networks

Abstract: This paper addresses the issue of degraded accuracy in traditional communication signal recognition under low Signal-to-Noise Ratio (SNR) environments by proposing a Convolutional Neural ...
IEEE

SCAFNet: A Semantic Compensated Adaptive Fusion Network for Remote Sensing Images Change Detection

Abstract: Current CNN-Transformer hybrid methods for remote sensing change detection aim to address the limitations of CNNs’ constrained receptive fields and Transformers’ local detail insensitivity.
IEEE

Advanced Epilepsy Severity Analysis and Diagnosis via EEG Signal Classification Using Modified LeNet-CNN

Abstract: There are just two stages of sensitivity that the dual rating system can detect, which is its biggest drawback. By modifying the LeNET-CNN framework and including the EMD transform, a ...
IEEE

Single-Channel Time-Frequency Overlapping Signal Modulation Recognition Network Based on Multi-Domain Adaptive Feature Fusion

Abstract: With the application of massive wireless devices, the receiver often receives mixed signals with time-frequency overlapping. Automatic modulation classification (AMC) of such mixed signals ...
IEEE

Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

Abstract: Soybean plants are highly susceptible to various diseases, impacting crop yield and quality. Accurate and early detection of these diseases is essential for effective management and ...
SiliconANGLE

Kargo closes on $42M funding round to automate loading dock and warehouse operations

Freight shipping artificial intelligence startup Kargo Inc. said Tuesday it has closed on $42 million in new funding in order to scale up deployments of its smart loading dock and warehouse technology ...