IEEE

A Survey of Deep Learning-Based Human Pose Estimation: Methods, Datasets, and Evaluation Metrics

Abstract: Human pose estimation has emerged as one of the most prominent research directions in computer vision in recent years. This technology aims to acquire human pose information from images or ...
IEEE

Wireless Ultrasonic Implant with Deep CNN for Tailored Chronic Pain Therapy

Abstract: Chronic pain is persistent pain caused by tissue damage, lasting for months or even years. Common types of chronic pain include osteoarthritis, rheumatoid arthritis, migraines, and ...
IEEE

Deep Learning Approaches to Babylonian Numeral Recognition: A CNN-SVM Hybrid Model

Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...

Nuggets' Nikola Jokic Cannot Be Quantified

Denver Nuggets superstar Nikola Jokic has defied reality. In 1950, mathematician, computer scientist, and cybernetics pioneer Norbert Wiener published The Human ...
IEEE

Optimized Electric Vehicle Charging Scheduling Using a Cnn-Lstm Hybrid Deep Learning Model

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...
IEEE

Automated Differentiation of Homework Tasks in Distance Learning: Integrating Artificial Intelligence and Genetic Algorithm

Abstract: Given that homework submissions are conducted electronically, plagiarism in distance education has become a prevalent issue. To provide tailored assignments for different learners while ...

CNN’s Pamela Brown on a ‘Scary Time’ for Journalism: ‘Do People Care About the Facts Like I Do?’

On a new episode of Mediaite's Press Club, CNN's Pamela Brown discusses how trust in the media is collapsing, rhetoric is intensifying, and the stakes of reporting feel higher than ever.
IEEE

Device-Free Occupancy Detection via Wi-Fi CSI and Deep Residual CNN

Abstract: This paper explores a device-free indoor occupancy detection approach using raw Wi-Fi Channel State Information (CSI). CSI data, including both real and imaginary components per subcarrier, ...
IEEE

Hybrid Deep Learning for Automatic Gauge Reading with CNN-Bidirectional GRU-LSTM

Abstract: Automatic gauge reading plays a vital role in industrial automation, enabling efficient and accurate monitoring of parameters such as pressure, temperature, and flow. Traditional image ...
IEEE

Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach

Abstract: Recently Distributed Denial of Service (DDoS) attacks have increased extensively, taking about 35% of all cyber threats among which the attack characteristic rises around 300% within the ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
IEEE

CNN-Transformer-Bi-LSTM: A Hybrid Deep Learning Framework for Wearable Sensor-Based Human Activity Recognition

Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...