Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
IEEE

Speech Recognition for Access Control: A Comparative Analysis of MFCC and PLP Features using CNN-Based Classification

Abstract: Speaker recognition has emerged as a promising biometric approach for secure and contactless access control. This paper presents a comparative analysis of two widely used acoustic feature ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Gainesville

Spencer Hilligoss Launches ParentFlare Parenting Platform Following CNN Feature on Modern Fatherhood

New parenting platform offers real-time tools to help families manage everyday challenges, strengthen connection, and share the mental load at home. Parenting rarely breaks down during big milestones.
Mediaite

‘My God, Use the Clicker’ Smerconish Stresses To His CNN Viewers They Need ‘Mixed Media Diet’

CNN’s Michael Smerconish stressed to his viewers the importance of a “mixed media diet” and told them to “use the remote” to sample differing points of view. CBS pushed back on Colbert’s claim, saying ...
IEEE

A Hybrid CNN-Transformer Knowledge Transfer Technique for Lightweight Skin Lesion Classification using Dermoscopic Image

Abstract: Using dermoscopic images for the classification of skin lesion is crucial for early skin cancer detection, but resource limitations hinder complex deep learning model applications in ...
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 ...