The rapid growth of agricultural technology has prompted the investigation of novel crop disease detection approaches. This paper presents an integrated method for the autonomous detection of agricultural diseases ...

Brain tumor diagnosis, a gradual process indulges several techniques; aid the classification of brain tumor. The diagnosis procedure comprises, pre-processing, localization, feature extraction, segmentation and classification. ...

The cognitive workload plays a critical role in tasks that require dynamic decision-making and are conducted under high-risk, real-time conditions. A high workload might result in unforeseen and disproportionate dangers, ...

Anomaly detection using machine learning (ML) algorithms is the key research theme in the modern digital era. Though the recent ML-based anomaly detection models have better detecting ability, the vast volume of data and ...

Electroencephalogram (EEG) is progressively developing as a remarkable structure of neuron action. It comprises of massive information that is used for identifying abnormality and dealing with intellectual disorders and ...

The rapid expansion of the Internet of Things (IoT) has been met with a concurrent rise in cybersecurity threats, particularly distributed denial of service (DDoS) attacks. These attacks pose severe risks to the interconnected ...

Industry 4.0 is considered to one of most recent developments, and is drastically changing perception of manufacturing industries especially in the developing nations. It is essentially a synergic integration between ...