IEEE

Optimized Deep Learning Architecture with EfficientNet and with MixUp & CutMix for Robust Plant Disease Classification

Abstract: This paper presents a novel deep-learning model for robust plant disease classification that uniquely integrates EfficientNetB0 with advanced augmentation techniques MixUp and CutMix. By ...
News-Medical.Net

CNN-based system improves lung nodule detection and classification

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

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 ...
IEEE

An Explainable Deep Learning Architecture for Trust-Aware Zero-Trust Enforcement in Resource-Constrained SDNs

Abstract: Traditional perimeter-based network security has become obsolete in today's dynamic and distributed digital ecosystems. Zero Trust Architecture (ZTA) offers a promising shift, yet most ...
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, ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
IEEE

Fraudulent Credit Card Transaction Monitoring Using Deep Learning: A CNN-LSTM Approach for Single-Transaction Security Identification

Abstract: Credit card cash-out methods have become increasingly complex, with new fraudulent transaction forms emerging continuously. Effective management is hindered by challenges in obtaining ...
IEEE

A Deep Learning Approach for Automated Image Captioning with CNN and LSTM Models

Abstract: Accurately describing a picture has turned out to be a crucial problem, and expert system researchers have always been interested in image captioning, sometimes referred to as characterizing ...
IEEE

Automated Deep Learning and Incremental Retraining-Driven MAPE-K Analyzer Architecture for Intelligent Self-Adaptation

Abstract: Monitoring, Analysis, Planning, and Execution with shared Knowledge (in short, the MAPE-K) build a continuous control loop, which is the cornerstone of self-adaptive systems (SASs). Recently ...
IEEE

AlzCNN: A Custom CNN Architecture for Alzheimer’s Stage Detection from MRI Images

Abstract: Alzheimer’s disease (AD) is a slowly advancing neurodegenerative condition which mostly affects brain neuron’s ability to remember and think. This condition causes significant challenges in ...
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CNN’s KFile runs deep dive on Bill Gates-Epstein ties: 'More detailed than previously known'

Andrew Kaczynski’s CNN KFile has done a deep dive into Microsoft’s Bill Gates’s relationship with pedophile Jeffrey Epstein to reveal more details “than previously known.” According to Kaczynski, the ...