IEEE

Improving the Sound Classification Accuracy Using CNN-LSTM and MFCC with Audio Augmentation for Diagnosing Respiratory Disease

Abstract: Audio is vital information data for understanding various situations. A multitude of sound features can be explained by analysis through the audio signals. Numerous classification methods ...
IEEE

Fruit Quality Monitoring System using CNN

Abstract: The grading of fruits relies on inspections, experiences, and observations, with a proposed system integrating machine learning techniques to assess fruit freshness. By analyzing 2D fruit ...
IEEE

Detection of Brain Tumors from MRI Images using Novel Deep CNN

Abstract: Brain tumors detection is the most crucial aspects in neuro-oncology. Early detection of tumors can significantly prevent critical health issues, improving the survival rates. Magnetic ...
IEEE

Fake Image Detection in Fake News Using Convolutional Neural Network (CNN)

Abstract: ’Fake news’ refers to false, inaccurate, or misleading information that spreads as real news. Fake news primarily aims to affect societies and individuals by spreading false or misleading ...
IEEE

Integrating Structural Information: Comparing Classification-Based and Segmentation-Based Predictors in Bioinformatics (Case Study: Protein-Peptide Region Residue-Level ...

Abstract: Understanding the regions where proteins bind to peptides is vital for studying diseases like cancer, as it sheds light on various cellular processes and aids in drug discovery. Although ...
IEEE

Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis

Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
IEEE

A Robust Hybrid CNN+ViT Framework for Breast Cancer Classification Using Mammogram Images

Abstract: Breast cancer is the most frequent type of cancer largely experienced by women currently, although it could happen to men also. It appears when abnormal breast tissue cells grow rapidly and ...
KRDO

Jay Jones will become Virginia’s next attorney general, CNN projects, overcoming disclosure of violent text messages

(CNN) — Democrat Jay Jones will win the race to become Virginia’s next attorney general, CNN’s Decision Desk projects, overcoming the disclosure of text messages in which he suggested a former ...
IEEE

Resolution Enhancement of Under-Sampled Photoacoustic Microscopy Images Using Neural Representation

Abstract: Acoustic-Resolution Photoacoustic Microscopy (AR-PAM) has demonstrated great potential in subcutaneous vascular imaging. However, its spatial resolution is limited by the system's Point ...
IEEE

Lightweight Deep Learning Model for Breast Cancer Malignancy Prediction Using CNN on Embedded Edge Devices

Accurate diagnosis of breast cancer in a timely manner will be a key step to have the right treatment. This study suggests a minimalistic CNN architecture for malignancy prediction intended to be ...
IEEE

Optimized Parkinson’s Disease Classification on Hand Drawing Images using Transfer Learning Models: An Exploratory Analysis

Parkinson's disease (PD) is a progressive neurological disorder that impairs motor functions, leading to symptoms such as tremor, muscular rigidity, cognitive instability and other related health ...
IEEE

Dual-Branch Residual CNN-LSTM Model for Emotion Classification using PPG and GSR

Abstract: Emotion recognition using bio-signals such as photoplethysmography (PPG) and galvanic skin response (GSR) is a practical and efficient approach compared to other bio-signals like EEG and EMG ...