Výsledky vyhledávání - dynamically evolving hierarchy of data clouds~

A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching

Autoři: Angelov, Plamen Sadeghi Tehran, Pouria

Zdroj: Procedia Computer Science. 53:1-8

Témata: dynamically evolving hierarchy of data clouds, content-based image retrieval, evolving clustering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, recursive density estimation

Popis souboru: application/pdf

Přístupová URL adresa: https://eprints.lancs.ac.uk/74591/
https://www.sciencedirect.com/science/article/pii/S1877050915017767
http://www.sciencedirect.com/science/article/pii/S1877050915017767
https://core.ac.uk/display/82327779
https://eprints.lancs.ac.uk/id/eprint/74591/

Look-a-Like: A Fast Content-Based Image Retrieval Approach Using a Hierarchically Nested Dynamically Evolving Image Clouds and Recursive Local Data Density: LOOK-A-LIKE: CONTENT-BASED IMAGE RETRIEVAL APPROACH

Autoři: Angelov, Plamen Sadeghi Tehran, Pouria

Zdroj: International Journal of Intelligent Systems. 32:82-103

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land

Popis souboru: application/pdf

Přístupová URL adresa: https://eprints.lancs.ac.uk/id/eprint/80448/1/elsarticle_template_num.pdf
https://eprints.lancs.ac.uk/id/eprint/80448/

Look-a-like:a fast content-based image retrieval approach using a hierarchically nested dynamically evolving image clouds and recursive local data density

Autoři: Angelov, Plamen Sadeghi Tehran, Pouria

Témata: Journal Article, PeerReviewed

URL: https://doi.org/10.1002/int.21837
https://eprints.lancs.ac.uk/id/eprint/80448/
https://eprints.lancs.ac.uk/id/eprint/80448
https://doi.org/10.1002/int.21837

Look-a-like : a fast content-based image retrieval approach using a hierarchically nested dynamically evolving image clouds and recursive local data density

Autoři: Angelov, Plamen Sadeghi Tehran, Pouria

Témata: Journal Article, PeerReviewed

URL: https://eprints.lancs.ac.uk/id/eprint/80448/
https://eprints.lancs.ac.uk/id/eprint/80448

DCMHTS: a deep clustering model for healthcare based on trigger service.

Autoři: Benkou, Soumia Asimi, Ahmed

Zdroj: Network Modeling & Analysis in Health Informatics & Bioinformatics; 10/10/2025, Vol. 14 Issue 1, p1-18, 18p

Seeing Is Craving: Neural Dynamics of Appetitive Processing During Food-Cue Video Watching and Its Impact on Obesity.

Autoři: Han, Jinfeng Zhuang, Kaixiang Dong, Debo a další

Zdroj: Nutrients. Aug2025, Vol. 17 Issue 15, p2449. 23p.

A Current Review of Generative AI in Medicine: Core Concepts, Applications, and Current Limitations.

Autoři: Rouzrokh, Pouria Khosravi, Bardia Faghani, Shahriar a další

Zdroj: Current Reviews in Musculoskeletal Medicine; Jul2025, Vol. 18 Issue 7, p246-266, 21p

Artificial Intelligence in Thoracic Surgery: Transforming Diagnostics, Treatment, and Patient Outcomes.

Autoři: Lopes, Sara Mascarenhas, Miguel Fonseca, João a další

Zdroj: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 14, p1734, 39p

Témata: ARTIFICIAL intelligence, THORACIC surgery, DIAGNOSTIC services, ETHICAL problems, CLINICAL medicine, THERAPEUTICS, DATA protection, TREATMENT effectiveness

A comprehensive review of interactive visualization for MetOcean domain.

Autoři: Ismail, Azlan Jawaddi, Siti Nuraishah Agos Sazali, Faris Haziq a další

Zdroj: Journal of Visualization; Oct2025, Vol. 28 Issue 5, p937-962, 26p

Bayesian Network-Based Earth-Rock Dam Breach Probability Analysis Integrating Machine Learning.

Autoři: Li, Zongkun Shi, Qing Sun, Heqiang a další

Zdroj: Water (20734441); Nov2025, Vol. 17 Issue 21, p3085, 18p

Témata: MACHINE learning, EARTH dams, FLOOD control, RISK assessment, CAUSAL models, BAYESIAN analysis, STRUCTURAL failures, HAZARD mitigation

Geografický termín: CHINA

Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing.

Autoři: Makhlouf, Sid Ahmed Yagoubi, Belabbas

Zdroj: International Journal of Interactive Multimedia & Artificial Intelligence; Mar2019, Vol. 5 Issue 4, p75-85, 11p

Témata: CLOUD computing, METAHEURISTIC algorithms

Review of Fuzzy Methods Application in IIoT Security—Challenges and Perspectives.

Autoři: Krzysztoń, Emanuel Mikołajewski, Dariusz Prokopowicz, Piotr

Zdroj: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3475, 25p

Témata: FUZZY logic, ANOMALY detection (Computer security), MISSING data (Statistics), FUZZY neural networks, INDUSTRIAL security, FUZZY algorithms, INTERNET security, RISK assessment

DARL: EFFECTUAL DEEP ADAPTIVE REINFORCEMENT LEARNING MODEL ENABLED SECURITY AND ENERGY-EFFICIENT HEALTHCARE SYSTEM IN INTERNET OF THINGS WITH THE AID OF MODIFIED MANTA RAY FORAGING OPTIMIZATION APPROACH.

Autoři: Supraja, B. Kiran Kumar, V. Krishna Kumar, N.

Zdroj: Biomedical Engineering: Applications, Basis & Communications; Dec2025, Vol. 37 Issue 6, p1-20, 20p

Témata: REINFORCEMENT learning, INTERNET of things, ENERGY consumption

Digital Twin Applications in the Water Sector: A Review.

Autoři: Ghorbani Bam, Pooria Rezaei, Nader Roubanis, Alexander a další

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 20, p2957, 49p

Témata: DIGITAL twin, WATER management, REAL-time computing, PREDICTIVE control systems, RESOURCE allocation, RESOURCE management, ENVIRONMENTAL infrastructure

Applications of Computational Mechanics Methods Combined with Machine Learning and Neural Networks: A Systematic Review (2015–2025).

Autoři: Pawlik, Lukasz Wilk-Jakubowski, Jacek Lukasz Frej, Damian a další

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10816, 53p

Témata: MACHINE learning, ARTIFICIAL neural networks, COMPUTATIONAL mechanics, REDUCED-order models, UNCERTAINTY (Information theory), FINITE element method

Application of Artificial Intelligence in Hydrological Modeling for Streamflow Prediction in Ungauged Watersheds: A Review.

Autoři: Gacu, Jerome G. Monjardin, Cris Edward F. Mangulabnan, Ronald Gabriel T. a další

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 18, p2722, 37p

Témata: ARTIFICIAL intelligence, STREAMFLOW, HYDROLOGIC models, DEEP learning, REMOTE sensing devices, WATERSHEDS, MACHINE learning, INFERENTIAL statistics

Event-Based Visual Simultaneous Localization and Mapping (EVSLAM) Techniques: State of the Art and Future Directions.

Autoři: Shahraki, Mohsen Elamin, Ahmed El-Rabbany, Ahmed

Zdroj: Journal of Sensor & Actuator Networks; Feb2025, Vol. 14 Issue 1, p7, 57p

Témata: MULTISENSOR data fusion, MOBILE operating systems, CAMERAS, ROBOTICS, DETECTORS

Improving Discharge Predictions in Ungauged Basins: Harnessing the Power of Disaggregated Data Modeling and Machine Learning.

Autoři: Muhebwa, Aggrey Gleason, Colin J. Feng, Dongmei a další

Zdroj: Water Resources Research; Sep2024, Vol. 60 Issue 9, p1-28, 28p

Témata: MACHINE learning, WATER management, RECURRENT neural networks, PREDICTION models, DATA modeling, WATERSHEDS

Reconstructing the VOC–Ozone Research Framework Through a Systematic Review of Observation and Modeling.

Autoři: Zhu, Xiangwei Wang, Huiqin Han, Yi a další

Zdroj: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 16, p7512, 42p

Towards Integrated Water–Energy Systems in Mountain Environments: Insights from a Systematic Literature Review.

Autoři: De Gaetano, Flavio Duglio, Stefano Beltramo, Riccardo

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2857, 21p

Témata: WATER management, ENERGY management, CLIMATE change, PARTICIPATORY design, POLICY sciences, ECOSYSTEMS, MOUNTAIN ecology

Geografický termín: ASIA