Emotion recognition through Electroencephalography (EEG) is widely acknowledged as a reliable method with diverse applications including defense, aerospace, and medical do- mains. This research aims to detect emotions ...

The evolution of technologies in the automobile industry has increased the complexity of the in-vehicle electrical network. This poses a new challenge for testers to do troubleshooting work in massive log files of CAN ...

Artificial Intelligence has been a topic of great interest in a wide range of fields, such as gaming, computer vision, and robotics. One of the impressive applications is the AI-based Alpha Go that has superhuman performance ...

For electric vehicles, lithium-ion (Li-ion) batteries serve as the primary energy source. Accurately estimating and predicting the state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries play an ...

The primary objective of this work is to use the patient’s electrocardiogram (ECG) to develop a method for early diagnosis of Arrhythmia disease. Traditional methods of diagnosing Ar- rhythmia often require extensive ...

Reading and understanding similar type of requirements using human interventions can be a laborious and time-consuming task. However, the complexity of natural language makes it difficult to accurately identify semantic ...

Drought modeling is an important issue because it is required for curbing or mitigating its effects, alerting the people to its consequences and water resources planning. The moni toring and forecasting of droughts plays ...

Following the breakout of COVID-19, there has been a significant increase in demand for gesture sensing applications, which allow users to manage gadgets with simple hand gestures rather than physically touching them. ...

Emotion recognition from speech has become a significant research area due to its poten tial applications in diverse fields such as mental health, human-robot interaction, and virtual assistants. The work presents an ...