AI Medical Compendium

A federated deep learning approach for SDN security with quantum optimized feature selection and hybrid MSDC net architecture.

Scientific reports Feb 10, 2026

Utilizing deep learning models for early detection and classification of fruit diseases: towards sustainable agriculture and enhanced food quality.

Scientific reports Feb 10, 2026

Productivity and quality of food are crucial for populations around the world. However, food faces challenges due to the threats of fruit diseases, which lead to poor food quality. Therefore, early detection and classification of fruit diseases are i... read more

HQA2LFS-handwriting quality assessment using an active learning framework in smartphones.

Scientific reports Feb 10, 2026

The work here outlines a regression-based approach for assessing handwriting quality at the word level based on structural, perceptual, and fringe features. The work is based on a diversified corpus of more than 1296 unruled pages of 65 + writers and... read more

Task-irrelevant human and robot head movements bias gaze in humans who follow them through virtual reality.

Scientific reports Feb 10, 2026

In prolonged social interactions, human attention and gaze are profoundly influenced by the looking behavior of others - to an extent that gaze-based communication strategies have been transferred from human-human to human-robot collaboration. Much l... read more

Research on improved models for facial expression recognition in mice with abnormal glucose metabolism.

Scientific reports Feb 10, 2026

Flood susceptibility assessment using three machine learning techniques and comparison of their performance.

Scientific reports Feb 10, 2026

One of the most common natural disasters is flooding, which has the potential to seriously harm environments and infrastructure. Flood susceptibility mapping (FSM) is the main way to manage flood risk. It measures how likely a region is to flood in a... read more

Comparative performance analysis of quantum feature maps for quantum kernel-based machine learning.

Scientific reports Feb 10, 2026

Quantum algorithms have become a popular research domain in recent times for discovering quantum-enhanced solutions in machine learning applications. Quantum kernels are one of the directions that establish such quantum-enhanced solutions to some ext... read more

Enhanced diabetes prediction using pre-trained CNNs, LSTM, and conditional GAN on transformed numerical data.

Scientific reports Feb 10, 2026

Diabetes remains a major public health challenge, contributing to complications such as kidney disease, cardiovascular disorders, and diabetic retinopathy. Early detection is essential for timely intervention, yet prediction from structured biomedica... read more

When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation.

Scientific reports Feb 10, 2026

The generation of realistic network traffic is a critical requirement for testing, simulation, and security evaluation in ZigBee-based IoT systems. In this study, we propose a novel framework that extracts sample ZigBee traffic packets and generates ... read more

Neuropsychiatric illness in the later years of life: summary and synthesis.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Feb 10, 2026

Dealing with neuropsychiatric illness in the later years of life is an immersion in complexity, born of heterogeneity in etiology, pathogenesis, clinical presentation, and response to intervention. We offer here a conceptual summary and synthesis of ... read more

Artificial Intelligence Medical Compendium

A federated deep learning approach for SDN security with quantum optimized feature selection and hybrid MSDC net architecture.

Utilizing deep learning models for early detection and classification of fruit diseases: towards sustainable agriculture and enhanced food quality.

HQA2LFS-handwriting quality assessment using an active learning framework in smartphones.

Task-irrelevant human and robot head movements bias gaze in humans who follow them through virtual reality.

Research on improved models for facial expression recognition in mice with abnormal glucose metabolism.

Flood susceptibility assessment using three machine learning techniques and comparison of their performance.

Comparative performance analysis of quantum feature maps for quantum kernel-based machine learning.

Enhanced diabetes prediction using pre-trained CNNs, LSTM, and conditional GAN on transformed numerical data.

When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation.

Neuropsychiatric illness in the later years of life: summary and synthesis.

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