News

Three Oklahoma Players Who Could Cause Issues for the Auburn Tigers

Burks, the seemingly unanimous Sooners' No. 1 receiver, will surely be a threat for the Tigers’ secondary, and he’ll surely have to step up with Keontez Lewis’ recent classification as probable. Lewis ...
ABC17NEWS

Pentagon watchdog has completed review of Hegseth’s use of Signal, sources say

The Pentagon’s internal watchdog has completed a monthslong review of Secretary of Defense Pete Hegseth’s use of Signal to discuss sensitive military operations and has submitted its findings to ...
News Channel 3-12

Satellite images reveal wide destruction in Gaza City as Israel steps up assault

A half-dozen satellite images taken between August 9 and September 5 also show that a vast majority of the destruction has been caused not by airstrikes or combat, but by the Israeli military slowly ...
IEEE

TinyML Prototype of Infant Cry Classification System

Abstract: Quick classification of infant cries is vital to determine the reason for a baby’s cry, especially in the first months of the baby’s life. This study aims to develop a lightweight TinyML ...
IEEE

Dual Mode Modulation Classification Using Convolution Neural Network

Abstract: With the rapid expansion of wireless communication, modulation classification has become a crucial component of spectrum management and interference detection. Traditional methods face ...
AOL

CNN’s Harry Enten Reveals ‘Most Popular’ Trump Admin Official — And Dems Aren’t Going To Be Pleased

CNN senior data reporter Harry Enten revealed on Thursday that Health and Human Services (HHS) Secretary Robert F. Kennedy Jr. is the “most popular” official in President Donald Trump’s cabinet.
IEEE

Cancer Classification Using an Enhanced CNN Models for Automated Medical Imaging Detection

Abstract: Cancer is the second deadliest disease, accounting for one in every six deaths. It is caused by abnormal cells growing uncontrollably and spreading throughout the body. On the other hand, ...
IEEE

On the Effect of Ruleset Tuning and Data Imbalance on Explainable Network Security Alert Classifications: A Case-Study on DeepCASE

Abstract: Automation in Security Operations Centers (SOCs) plays a prominent role in alert classification and incident escalation. However, automated methods must be robust in the presence of ...
IEEE

Explicit Content Classification in Indonesian Song Lyrics Using the LSTM-CNN Method

Abstract: Music services are currently very popular and accessible to anyone, particularly through internet platforms. However, this widespread accessibility necessitates careful consideration, as ...
IEEE

Classification of Human and Synthesized Audio in Marathi Speech using Melspectrogram Analysis and Convolutional Neural Network (CNN) Model

Abstract: In recent years, the demand for effective audio classification systems has grown significantly, due to the rise of audio synthesizer tools and text-to-speech converters. Though there are ...
IEEE

Identification and Classification of Medicinal Plants Using Resnet V2 CNN Architecture

Abstract: Identifying medicinal plants is crucial in herbal medicine, pharmaceutical research, and plant taxonomy. Conventional manual classification techniques tend to be errorprone and ...
IEEE

Brain Tumour Identification, Classification and Severity Assessment using CNN - LSTM

Abstract: Brain tumours present a formidable challenge in healthcare, requiring accurate identification, classification, and severity assessment for effective treatment. Leveraging deep learning ...