AI is creating lucrative career paths, with top roles offering crores in salaries. Here's a look at the highest-paying AI jobs and the qualifications needed to land them ...

Plant disease detection is crucial for ensuring agricultural productivity and preventing crop loss. This study explores shallow retraining of pre-trained deep learning models (ResNet-50, ...

The aim of the work is to design a secure and accurate Speech Emotion Recognition (SER) system using a RNN model to classify emotions from speech data. The system’s predictive accuracy is evaluated ...

Pain and a decline in gait function are symptoms of knee osteoarthritis (KOA). With the use of machine learning methods, developed regression models to identify KOA-related gait variables according to ...

Hand sign recognition is a vital technology in the human-computer interaction, enabling individuals to communicate with machines naturally and effectively. An innovative approach for real-time hand ...

To analyse the DeepFakes, which are AI-generated synthetic media that impersonate real people and pose substantial threats to digital content security, privacy, and authenticity. This research ...

This article introduces a novel automatic multiple vehicle detection and tracking framework that combines successfully computer vision to partial differential equation (PDE) - based models. Its ...

Abstract: A staple crop, rice feeds a substantial chunk of the world's population. However, several diseases adversely affect productivity and quality; therefore, timely diagnosis and management are ...

Driver sleepiness is a significant contributor to several traffic accidents, posing a threat to roadway safety. Eye Aspect Ratio (EAR), which observes eye movements to identify fatigue. The technology ...

To this end, we present an efficient in-memory convolutional neural network (CNN) accelerator optimized for use with racetrack memory. We design a series of fundamental arithmetic circuits as ...

Road lane detection plays a crucial role in advancing autonomous driving technologies, enhancing vehicle safety, and contributing to intelligent transportation systems. This paper proposes a road lane ...

This paper proposes a Cascade R-CNN steel defect detection method based on improved multi head attention mechanism and dynamic multi-stage loss reweighting, and validates it on the Northeastern ...