IEEE

Deceptive Opinion Detection Using Stacking-Based Deep Ensemble Learning

Abstract: The widespread reliance on online reviews in e-commerce and social platforms has led to an increase in deceptive opinions, commonly called fake reviews or opinion spam. These reviews ...
IEEE

Progressing Alzheimer's Diagnosis with Ensemble CNN Model

Abstract: This paper proposes an Alzheimer's disease prediction model using CNN, implemented on a system with AMD Radeon Vega 8 Graphics to improve computational traceability. The research is ...
IEEE

Identifying Deepfakes in CT Scans of Lung Cancer using an Ensemble Architecture

Abstract: The growing utilization of deep learning in medical imaging has sparked concerns about the authenticity of diagnostic images, particularly in lung cancer CT scans. To address this issue, ...
IEEE

Ensemble Learning for Wafer Defect Pattern Classification in the Semiconductor Industry

Abstract: During semiconductor manufacturing, wafer defect patterns emerge in an uncontrolled environment, making immediate recognition challenging. To enhance the classification accuracy in pattern ...
IEEE

C19-MLE: A Multi-Layer Ensemble Deep Learning Approach for COVID-19 Detection Using Cough Sounds and X-Ray Imaging

Abstract: The COVID-19 pandemic highlighted the urgent need for rapid and efficient screening methods, leading to a growing demand for alternatives to resource-intensive RT-PCR tests. Among these, ...
IEEE

A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification

Abstract: Distributed Denial of Service (DDoS) attacks are a major concern in network security, as they overwhelm systems with excessive traffic, compromise sensitive data, and disrupt network ...
IEEE

Ensemble-Based Hybrid Transfer Approach for an Effective 2D Ear Recognition System

Abstract: Person identification using ear images has gained significant attention recently. Transfer learning provides an effective platform for image classification, utilizing CNNs like AlexNet, ...
Microsoft

Scalable emulation of protein equilibrium ensembles with generative deep learning

Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that ...
IEEE

Performance Analysis Using Categorical Boosting Classifier (CatBoost), Ensemble Hard Voting Classifier (EHVC) & Convolution Neural Network (CNN) for DNA Sequence Classification

Abstract: Recently, Machine Learning (ML) has become an essential methodology for medical science. Deoxyribonucleic Acid (DNA) carries all the genetic information of every individual. The extraction ...
IEEE

Fuzzy-based Image Enhancement and Ensemble CNN Model for Bone Fracture Detection and Classification System

Abstract: Bone fracture detection and classification play a critical role in the early diagnosis and treatment of orthopedic conditions. However, medical X-ray images often occur from low contrast and ...
The New York Times

CNN, Unwanted by Netflix, Is Excluded From a Sale, for Now

The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...