AIMC Topic: Pattern Analysis, Machine

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Metabolite Identification Data in Drug Discovery, Part 1: Data Generation and Trend Analysis.

Molecular pharmaceutics
In drug discovery, metabolite identification data are used to identify metabolic soft spots in research molecules to facilitate reduced metabolism in subsequently designed compounds. In addition, knowledge about exact metabolite structures enables th...

Machine learning-based ensemble of Global climate models and trend analysis for projecting extreme precipitation indices under future climate scenarios.

Environmental monitoring and assessment
Monitoring changes in climatic extremes is vital, as they influence current and future climate while significantly impacting ecosystems and society. This study examines trends in extreme precipitation indices over an Indian tropical river basin, anal...

Comparing the applicability of de facto population markers for spatiotemporal trend analysis in wastewater-based epidemiology.

Journal of hazardous materials
Wastewater-based epidemiology is an effective public health approach that enables early detection, monitoring, and assessment of community health trends by analysing human excretion products in wastewater. Here, accurate population normalization is e...

Interconnections, trend analysis and forecasting of water-air temperature with water level dynamics in Blue Moon Lake Valley: A statistical and machine learning approach.

Journal of environmental management
Glacier-fed lakes serve as vital indicators of climate change, yet their temperature and water level dynamics are insufficiently studied, particularly in high-altitude basins. Examining these interactions is fundamental for the effective management o...

Quantitative trend analysis of well-established use mutual recognition and decentralised products indicates codified disharmonisation in the European Economic Area.

Health policy (Amsterdam, Netherlands)
The growing number of well-established use (WEU) applications was reported by the Coordination Group for Mutual Recognition and Decentralised Procedures - Human (CMDh). The procedures from the CMDh annual statistics and products from the Mutual Recog...

Exploring the impact of natural and human activities on vegetation changes: An integrated analysis framework based on trend analysis and machine learning.

Journal of environmental management
Climate, human activities and terrain are crucial factors influencing vegetation changes. Despite their crucial role, there is a notable lack of research exploring the nonlinear relationships between them and vegetation changes, especially over exten...

STCNet: Spatio-Temporal Cross Network with subject-aware contrastive learning for hand gesture recognition in surface EMG.

Computers in biology and medicine
This paper introduces the Spatio-Temporal Cross Network (STCNet), a novel deep learning architecture tailored for robust hand gesture recognition in surface electromyography (sEMG) across multiple subjects. We address the challenges associated with t...