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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

Afshan Fatima

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Open access Aug 2026

NEUROIMAGING-BASED MCI PREDICTION USING DEEP LEARNING

An improved model based on the Xception architecture is created, building on previous deep learning techniques that use convolutional neural networks (CNNs) with channel attention mechanisms, to offer a dependable, accessible diagnostic tool to assist medical professionals in the early detection of Alzheimer's disease.

M. Misba, Afshan Fatima, Ruqiya Fatima · 0 citations
Open access Aug 2026

A BLOCKCHAIN-BASED DECENTRALIZED FRAMEWORK FOR CERTIFICATE AUTHENTICATION AND ISSUER TRUST

A decentralized, blockchain-based issuer validation and certificate verification solution to overcome drawbacks of conventional verification techniques, which ensures data immutability and tamper resistance by storing certificate hashes on the blockchain using Ethereum.

Madiha Sadaf, Afshan Fatima, Ruqiya Fatima · 0 citations
Open access Aug 2026

AUTOMATED HEART DISEASE DETECTION FROM ECHOCARDIOGRAPHIC IMAGE VIA DEEP NEURAL NETWORK

A deep learning-based method for automatically classifying heart conditions from echocardiography data using the EfficientNetB0 architecture, which has the potential to improve cardiovascular disease prognosis and early detection, thereby increasing the scalability of sophisticated diagnostic capabilities in a variety...

Taha Tahseen, Afshan Fatima · 0 citations
Review Open access Aug 2026

AUTOMATED DETECTION OF TUBERCULOSIS FROM CHEST X-RAY IMAGES USING DEEP LEARNING

A deep learning-based system that uses chest X-ray pictures to automatically detect tuberculosis, using transfer learning using MobileNetV2 and DenseNet architectures to classify chest Xrays as either TB-positive or Healthy, reaching notable accuracy.

Zoya Nasreen, Afshan Fatima, Ruqiya Fatima · 0 citations

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