IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
Mirage News

AI Boosts Lung Nodule Detection, Classification on LIDC Data

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...
IEEE

Point-Cloud-Based Place Recognition Using CNN Feature Extraction

Abstract: This paper proposes a novel point-cloud-based place recognition system that adopts a deep learning approach for feature extraction. By using a convolutional neural network pre-trained on ...
IEEE

Guitar Chord Recognition Using Sobel Feature Extraction and YOLOv8 Segmentation with CNN Classification

Abstract: Music is created by blending musical sounds from various musical instruments. One of the famous musical instruments is the guitar. Learning to play the guitar is time-consuming and requires ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

An Enhanced Approach for Crop Prediction Using CNN-Based Soil Feature Extraction

Abstract: Agriculture has been a major means of survival in our India since ancient times. In today's era almost many farmers performed various traditional strategies and practices to safeguard crops ...
IEEE

A Novel Approach for Facial Emotion Recognition: Deep CNN Feature Extraction Combined with ML Models

Abstract: Facial expression recognition (FER) serves as a fundamental component of human-computer interaction, showing its influence on computing, and behavioral analysis. The proposed work here ...
IEEE

Deep3BPP: Identification of Blood–Brain Barrier Penetrating Peptides Using Word Embedding Feature Extraction Method and CNN-LSTM

Abstract: To prevent different chemicals from entering the brain, the blood–brain barrier penetrating peptide (3BPP) acts as a vital barrier between the bloodstream and the central nervous system (CNS ...
IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
IEEE

Fine-Grained Subdomain Alignment and Feature Grouping Based Cross-Domain SOH Estimation for Lithium-Ion Batteries Using a Patch Time Series CNN-Transformer Network

Abstract: State-of-health (SOH) estimation plays a crucial role in ensuring the safe, reliable, and efficient management of lithium-ion batteries. However, the performance of data-driven models often ...