Results 51 to 60 of about 436,844 (239)

A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks

open access: yesOpen Engineering
Breast cancer is globally known to be a major health concern that necessitates advancements in detection and classification methods. This study introduces a machine learning-based approach for breast cancer diagnosis using benign and malignant mammograms
Alawee Wissam H.   +3 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Assistance in Developing Market Economics Teaching Modules for Teachers at the Indonesian School Davao, Philippines

open access: yesJurnal Pemberdayaan Masyarakat Madani
This international community service program aims to enhance teachers' skills in developing market economics teaching modules at the Indonesian School in Davao, Philippines.
Raya Sulistyowati   +10 more
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

International Chelpanov Readings 2014: Moscow Scientific and Practical Conference on the 100th Anniversary of the Grand Opening of Psychological Institute named after L.G. Schukina (1914-2014) [PDF]

open access: yesПсихологическая наука и образование (2007. Online), 2014
We provide an overview of the commemorative events in Psychological Institute marking the 100th anniversary of its grand opening, which were prepared and conducted together with the Moscow State University of Psychology and Education.
Serova O.E, Guseva E.P.
doaj  

Tuning the Optoelectronic Properties of Wide Bandgap Perovskites: Data‐Driven Insights from Combinatorial Synthesis and High‐Throughput Experimentation

open access: yesAdvanced Functional Materials, EarlyView.
Combinatorial vapor deposition enables independent tuning of Cs/Pb and Br/Cl in wide‐bandgap perovskites. Automated multimodal mapping of 500+ compositions reveals a high‐energy optical transition that correlates with enhanced photoluminescence, defining a practical Cs/Pb window.
Alexander Wieczorek   +6 more
wiley   +1 more source

Charge Stratification and Fuel/Air Ratio Effect on the Efficiency of (ICADE) I. C. Engine Cycle

open access: yesAl-Khawarizmi Engineering Journal, 2011
The Isolated Combustion and Diluted Expansion (ICADE) internal combustion engine cycle combines the advantages of constant volume combustion of the Otto cycle with the high compression ratio of the Diesel cycle.   This work studies the effect of isolated
Hayder Abed Abed Dhahad
doaj  

Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills

open access: yesDiscover Sustainability
The increasing demand for clean water necessitates innovative approaches to optimize water productivity through renewable energy systems. This study harnessed computer science-based algorithm to forecast the productivity of hemispherical solar stills ...
Salwa Ahmad Sarow   +5 more
doaj   +1 more source

Implementation of a Global Citizen Science App in Community-Based Water Monitoring: Lessons Learned from the CrowdWater Experiences in Latin America

open access: yesCitizen Science: Theory and Practice
Citizen science and community-based monitoring are based on the participation of people outside research institutes in the collection and sometimes also analysis of scientific data.
Sara Blanco-Ramírez   +4 more
doaj   +1 more source

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