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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

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Open access Aug 2026

Automated identification and categorization of breast lesions in mammographic images using an AMFA-based SVM framework

Breast cancer is a major cause of cancer-related mortality among women, emphasizing the need for accurate and efficient computer-aided diagnosis. Existing deep learning approaches for mammographic analysis predominantly rely on single feature representations or conventional fusion strategies, limiting their ability t...

K. Manjusha, P. Amara, Mohammad Farukh Hashmi et al. · 0 citations
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

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