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.
IEEE

Custom Rule-Based Feature Engineering for Code Smell Detection in Kotlin Using Detekt

Abstract: Code Smells are potential program failures in the future that need to be anticipated. This usually occurs due to poor program code structure. Android, with the Kotlin programming language, ...
IEEE

Real-Time Driver Distraction Detection via CNN Feature Extraction and PCA Regularized SVM

Abstract: Driver distraction is a leading contributor to road accidents, highlighting the need for intelligent systems that enable early detection and prevention. This paper presents a model designed ...
IEEE

A Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes

Abstract: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...
IEEE

Robust Extraction of Masked and Occluded Text using Masked Vision Transformer and CNN Decoder

Abstract: The extraction of text from masked or partially occluded images, such as a road sign covered by a poster, a tree, or the environment (in which case occlusion may be caused by anything but a ...
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

CNN-Based Visual Feature Learning for Content-Based Product Recommendation in MSMEs

Abstract: The rapid growth of digital transformation has encouraged Micro, Small, and Medium Enterprises (MSMEs) to adopt e-commerce platforms as part of their business strategies. However, ...
IEEE

Hierarchical Feature Integration for Multi-Signal Automatic Modulation Recognition

Abstract: Automatic modulation recognition (AMR) is a crucial step in wireless communication systems, which identifies the modulation scheme from detected signals to provide key information for ...
SiliconANGLE

Adaptive6 scores $28M in early funding to find and fix cloud cost inefficiencies

Cloud cost governance and optimization startup Adaptive6 Inc. says it’s ready to help large enterprises save millions of dollars on their cloud infrastructure spending after closing on a $28 million ...
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

SCAFNet: A Semantic Compensated Adaptive Fusion Network for Remote Sensing Images Change Detection

Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
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 ...