Scientific American

AI techniques speed up forensic analysis of crucial crime scene larvae

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...
IEEE

A Deep Learning Framework for Network Intrusion Detection Using hybrid CNN-BiGRU-Multi-Head Attention model

Abstract: This paper describes a fresh IDS framework that utilizes CNN and BiGRU and Multi-Head Attention techniques to develop an improved deep learning approach for network protection from changing ...
IEEE

Detection of Powdery Mildew in Cherry Plant Leaves using Machine Learning and CNN

Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...
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 ...

AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
IEEE

A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
KRDO

Rebuilding faces and identifying tattoos, AI joins the search for the missing in Mexico

The Mexico City Prosecutor’s Office has used the “inpainting” technique, which uses artificial intelligence to fill in, ...
IEEE

Deep Learning Approaches to Babylonian Numeral Recognition: A CNN-SVM Hybrid Model

Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...
EurekAlert!

Smart monitoring for a greener future: New AI-driven model predicts lithium-ion battery health with unprecedented accuracy

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...
IEEE

Optimized Electric Vehicle Charging Scheduling Using a Cnn-Lstm Hybrid Deep Learning Model

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...
IEEE

Machine-Learning Algorithm Applied to Magnetic Localization

Abstract: Magnetic localization does not require line of sight, this makes it suitable for various applications, including indoor navigation, surgical tracking, motion capture, and 3D body scanning.
IEEE

Reinforcement Learning Algorithm Helps Optimize Personalized Cognitive Behavioral Therapy for Anxiety Disorders

Abstract: This paper explores the application of reinforcement learning (RL) algorithms in optimizing personalized cognitive behavioral therapy (CBT) for anxiety disorders. Traditional CBT often lacks ...