AI Medical Compendium

Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture.

Scientific reports Apr 10, 2026

Reduction in pollinator abundance (predominantly honeybees) stemming from environmental and chemical stressors notably neonicotinoid pesticides poses serious threats to biodiversity and agricultural productivity. This study presents a scalable machin... read more

Ranking land degradation drivers in eastern Inner Mongolia using partial order theory and Hasse diagram analysis.

Scientific reports Apr 10, 2026

Land degradation (LD) poses a major challenge to global sustainable development, with the attainment of land degradation neutrality recognised as a key indicator of Sustainable Development Goal 15.3 (SDG 15.3). This goal focuses on combating desertif... read more

Estimating seepage in heterogeneous earthfill dams on permeable foundations using explainable machine learning.

Scientific reports Apr 10, 2026

Benchmarking MedViT and hybrid CNN-ViT architectures for multi-label thoracic disease classification.

Scientific reports Apr 10, 2026

Hybrid feature selection for IoMT based intrusion detection system for integrating mutual information filtering with deep learning based accelerated metaheuristic optimization.

Scientific reports Apr 10, 2026

ML assisted optimization of DR based MIMO antenna for 5G communication systems.

Scientific reports Apr 10, 2026

Investigation of the multifactorial regulatory mechanisms underlying compositional changes in recurrent urinary stones and development of a machine learning-based personalized predictive model.

Scientific reports Apr 10, 2026

Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approach.

Scientific reports Apr 10, 2026

Accurate, fast, and interpretable fault identification on electrical transmission lines is essential for maintaining power system stability and reducing outage durations. In this study, we propose a hybrid 1D convolutional neural network-Decision Tre... read more

A machine-learning virtual source model for nanoscale transistors.

Scientific reports Apr 10, 2026

Neural networks (NNs) are powerful tools for modeling transistor characteristics from data, yet purely data-driven models are data-hungry, can yield unphysical results, and often fail to generalize. We present an integrated NN-virtual source (NN-VS) ... read more

Assessing trends and forecasting meteorological drought in South Africa using Savitzky-Golay enhanced hybrid deep learning.

Scientific reports Apr 10, 2026

Drought constitutes one of the most significant natural hazards worldwide, exacerbated by climate variability and change, with profound implications for ecosystems, agriculture, and livelihoods. In South Africa, particularly within the drought-prone ... read more

Artificial Intelligence Medical Compendium

Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture.

Ranking land degradation drivers in eastern Inner Mongolia using partial order theory and Hasse diagram analysis.

Estimating seepage in heterogeneous earthfill dams on permeable foundations using explainable machine learning.

Benchmarking MedViT and hybrid CNN-ViT architectures for multi-label thoracic disease classification.

Hybrid feature selection for IoMT based intrusion detection system for integrating mutual information filtering with deep learning based accelerated metaheuristic optimization.

ML assisted optimization of DR based MIMO antenna for 5G communication systems.

Investigation of the multifactorial regulatory mechanisms underlying compositional changes in recurrent urinary stones and development of a machine learning-based personalized predictive model.

Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approach.

A machine-learning virtual source model for nanoscale transistors.

Assessing trends and forecasting meteorological drought in South Africa using Savitzky-Golay enhanced hybrid deep learning.

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Artificial Intelligence Medical Compendium

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