AI Medical Compendium

Computational framework for multi-objective optimization of activated biochar properties using machine learning and evolutionary algorithms.

Scientific reports May 18, 2026

Climate neutrality and renewable energy expansion demand multifunctional materials capable of simultaneous carbon sequestration and electrochemical energy storage. Agricultural residue biochar offers dual-function potential, yet conventional pyrolysi... read more

A human-centric fuzzy decision support system for medical diagnosis using fuzzy cognitive maps.

Scientific reports May 18, 2026

Medical decision support requires models that remain interpretable under uncertainty while still adapting to evolving data and expert knowledge. Fuzzy cognitive maps (FCMs) are attractive in this setting because they encode concept-level relations in... read more

Enhancing crop disease recognition framework via vision-language model with cross-attention and gated fusion.

Scientific reports May 18, 2026

Crop diseases pose a significant threat to agricultural productivity and global food security. Timely and accurate detection of such diseases is crucial for improving both crop yield and quality. While numerous deep learning approaches rely solely on... read more

UAV-based multispectral imaging and machine learning for detecting and mapping maize leaf diseases in smallholder farms.

Scientific reports May 18, 2026

Maize (Zea Mays) is one of the world's most important staple crops, providing food for humans and feed for livestock. However, its production is threatened by a range of stresses, including crop diseases, which significantly reduce yields, particular... read more

Temporally rigorous and traceable predictive maintenance via joint labeler-model optimization.

Scientific reports May 18, 2026

Predictive maintenance (PdM) is a critical enabler of intelligent asset management in Industry 4.0, yet many existing frameworks remain difficult to operationalize due to methodological fragmentation. Common limitations include sacrificing temporal r... read more

Automated classification of benign paroxysmal positional vertigo from video-nystagmography using a delay-aware neural network.

Scientific reports May 18, 2026

Nystagmus is a key indicator of vestibular disorders, including benign paroxysmal positional vertigo (BPPV). Accurate diagnosis of BPPV is essential, as it is treatable with specific bedside maneuvers that lead to rapid symptom resolution, thereby im... read more

Open circuit fault localization in dual active bridge based simultaneous battery charging systems using multi label classification.

Scientific reports May 18, 2026

This paper presents a multi-label fault localization framework for open-circuit fault diagnosis in a three-port Dual Active Bridge (DAB) converter using deep learning. The proposed method leverages time-frequency features extracted from midpoint volt... read more

Automated karyotyping and structural anomaly detection through a hybrid multi-stage deep learning framework integrating chromosome detection, pairwise classification, and autoencoder-based analysis.

Scientific reports May 18, 2026

Manual karyotype analysis remains a labor-intensive and expertise-dependent process that requires visual interpretation of chromosome banding patterns under the microscope. Although recent studies have applied machine learning to isolated stages of c... read more

A contrastive reconstruction vision transformer model for intelligent diagnosis of autism spectrum disorder.

NPJ digital medicine May 18, 2026

Automated assessment through the analysis of facial expressions in autism can assist in early screening, providing strong support for timely intervention and contributing to the healthy development of patients. However, current deep learning models s... read more

Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan.

Nature aging May 18, 2026

Deep learning (DL) has shown success in predicting Alzheimer's disease (AD) diagnosis, yet continuous measures such as cognitive assessment remain critical for richer prognosis, trajectory tracking and clinical trial enrichment. Current neurocognitiv... read more

Artificial Intelligence Medical Compendium

Computational framework for multi-objective optimization of activated biochar properties using machine learning and evolutionary algorithms.

A human-centric fuzzy decision support system for medical diagnosis using fuzzy cognitive maps.

Enhancing crop disease recognition framework via vision-language model with cross-attention and gated fusion.

UAV-based multispectral imaging and machine learning for detecting and mapping maize leaf diseases in smallholder farms.

Temporally rigorous and traceable predictive maintenance via joint labeler-model optimization.

Automated classification of benign paroxysmal positional vertigo from video-nystagmography using a delay-aware neural network.

Open circuit fault localization in dual active bridge based simultaneous battery charging systems using multi label classification.

Automated karyotyping and structural anomaly detection through a hybrid multi-stage deep learning framework integrating chromosome detection, pairwise classification, and autoencoder-based analysis.

A contrastive reconstruction vision transformer model for intelligent diagnosis of autism spectrum disorder.

Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan.

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Artificial Intelligence Medical Compendium

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