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Diagnosing Gingiva Disease Using Artificial Intelligence Techniques
Gingival and periodontal diseases, such as gingivitis and periodontitis, are critical public health concerns that can lead to severe complications if left untreated.
Rana Khalid Sabri +3 more
doaj +1 more source
Artificial Intelligence Techniques Applied To Draughts [PDF]
This thesis documents the work done to develop a draughts playing program that learns game strategies utilising various Artificial Intelligence (AI) techniques with the goal of being able to play draughts at a reasonably high skill level as a result of ...
ALLSOP, DANIEL,DAVID
core
Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa +3 more
wiley +1 more source
Artificial Intelligence in Agriculture: Techniques and Outcomes
Artificial Intelligence (AI) is emerging as a transformative driver of modern agriculture by enabling intelligent, data-driven solutions across crop production, soil and water management, climate forecasting, pest and disease detection, livestock ...
DILEEP KUMAR GUPTA +6 more
doaj +1 more source
Storing digital data is increasingly affordable and attractive for many organizations, thus allowing longitudinal postum analysis of events and for identifying trends that may hold interest for predicting future scenarios. Results of manual data analysis
Hein, Amadeus +2 more
core
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation
With the rapid development of Earth observation sensors, the fusion of remote sensing (RS) data in multimodal semantic segmentation has garnered significant research focus in recent years.
Chen Pan +6 more
doaj +1 more source
Due to the nature of composites, the ability to accurately locate low-energy impacts on structures is crucial for Structural Health Monitoring (SHM) in the aerospace sector. For this purpose, several techniques have been developed in the past, and, among
Antonio Fernández-López +2 more
core +1 more source
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source
The utilization of artificial intelligence techniques has garnered significant interest in recent research due to their pivotal role in enhancing the quality of educational offerings.
Neamah Dahash Farhan +4 more
doaj +1 more source

