Results 51 to 60 of about 30,221 (232)

The future of periodontology: Emerging technologies and conceptual shifts

Journal of Periodontology, EarlyView.
Abstract Periodontology is entering a transformative era driven by advances in diagnostics, therapeutics, and digital integration. Emerging technologies and conceptual shifts are currently reshaping the specialty, with a focus on predictive, preventive, and personalized care.
Michael S. Reddy
wiley   +1 more source

RIME optimization with dynamic multi-dimensional random mechanism and Nelder–Mead simplex for photovoltaic parameter estimation

Scientific Reports
Solar photovoltaic technology is efficient and clean, but extracting photovoltaic cell parameters is challenging due to various influencing factors. The rime optimization algorithm (RIME) is a recently proposed metaheuristic algorithm (MAs).
Yuanping Zheng, Fangjun Kuang, Ali Asghar Heidari, Lipei Yuan, Siyang Zhang, Huiling Chen   +5 more
doaj   +1 more source

Artificial Intelligence (AI) – based strategies for point cloud data and digital twins

Nova Geodesia, 2023
Artificial Intelligence (AI), specifically machine learning (ML) and deep learning (DL), is causing a paradigm shift in coding practices and software solutions across diverse fields.
Ifra AFTAB, Mohammad DOWAJY, Kristof KAPITANY, Tamas LOVAS   +3 more
doaj   +1 more source

Generating descriptions that summarize geospatial and temporal data [PDF]

, 2009
Effective data summarization methods that use AI techniques can help humans understand large sets of data. In this paper, we describe a knowledge-based method for automatically generating summaries of geospatial and temporal data, i.e.
Molina, Martin, Stent, Amanda
core   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection

CAAI Transactions on Intelligence Technology
The Runge–Kutta optimiser (RUN) algorithm, renowned for its powerful optimisation capabilities, faces challenges in dealing with increasing complexity in real‐world problems.
Jinge Shi, Yi Chen, Ali Asghar Heidari, Zhennao Cai, Huiling Chen, Guoxi Liang   +5 more
doaj   +1 more source

Introducing Geo-Glocal Explainable Artificial Intelligence

IEEE Access
Geospatial use cases involve data with a geospatial and a temporal dimension. Machine learning is applied to such use cases for tasks such as prediction and classification.
Cedric Roussel, Klaus Bohm
doaj   +1 more source

Investigating the use of semantic technologies in spatial mapping applications [PDF]

, 2013
Semantic Web Technologies are ideally suited to build context-aware information retrieval applications. However, the geospatial aspect of context awareness presents unique challenges such as the semantic modelling of geographical references for efficient
Hague, J, Omitola, T, Osman, T, Shadbolt, N, Shires, L   +4 more
core   +1 more source

Geospatial Artificial Intelligence for Early Detection of Forest and Land Fires

KnE Social Sciences, 2022
Over the years, early detection of forest and land fires has been conducted using hotspot data provided by the National Institute of Aeronautics and Space (LAPAN), based on its interpretation of satellite images. The hotspot data have tremendously helped firefighting efforts and further enforcement.
Alya Faryanti Purbahapsari, Irene B. Batoarung   +1 more
openaire   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source