Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mohammad Farukh Hashmi

h-index 4 View on Semantic Scholar

We have 3 of 30 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Jul 2026

EmoStack-Net: A Hybrid Feature Learning Framework for EEG-based Emotion Recognition

Electroencephalography (EEG) is a key research field in affective computing and brain-computer interface applications for the recognition of emotion. But the non-stationary and complex nature of EEG signals presents a great challenge for emotion classification. In this paper, a novel hybrid feature learning framework f...

P. Mula, V. Malathy, Mohammad Farukh Hashmi et al. · 0 citations
Conference Jul 2026

Adaptive Multi-Domain EEG Feature Fusion with Augmented Machine Learning Framework for Four-Class Emotion Recognition

EEG based Emotion recognition has gained a lot of interest in the domain of Affective Computing, Healthcare and Human-Computer Interaction. Emotion classification in EEG signals remains difficult, though, because of their nonlinearity, noise and dependence on the specific person. In this paper, we suggest an Adaptive M...

P. Mula, V. Malathy, Mohammad Farukh Hashmi et al. · 0 citations
Conference Jul 2026

Transformer-augmented EfficientNetV2B3 for robust plant disease identification

A hybrid image classification deep-learning model using Convolutional Neural Network EfficientNetV2B3 combined with Transformer block made of Multi-head Attention and Multilayer Perceptron (Feedforward layers) generalizes better and performs well in detecting plant diseases.

Mohammad Farukh Hashmi, P. Meghana, Thota Bhagath · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.