One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Many industrial products—from car bumpers to aerospace panels and medical implants—owe their performance to lightweight, ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

Vijay Kumar Soni, a digital payments expert, integrates engineering and AI to build secure, scalable financial platforms. His ...

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

Indian tech companies are rapidly integrating AI into insurance operations, raising a tough question: How can we ensure our systems remain fair, transparent, and humane before it's too late?

Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID 796895.

Where Textraction is the total complexity for feature extraction, Tdenselayers is the complexity of the fully connected layers, and TLIME is the complexity of LIME explainability.

In this paper, a novel hybrid deep learning (DL) framework is proposed to achieve accurate DIM identification by fully extracting local-global features from electricity data. In the proposed framework ...

Feature extraction is then performed using MobileNetV2, and these features are used to train and validate classification models to differentiate between malignant and benign breast masses. The model’s ...