Results 11 to 20 of about 7,391,163 (307)

On the applicability of the ‘humic acids’ nomenclature from natural ecosystems to engineering sciences [PDF]

Environmental Science and Ecotechnology, 2021
Highlights • ‘HA’ nomenclature can be undoubtedly applied in engineering sciences.• The real structure of NOM is still a ‘black box’ in natural ecosystems.• Recognition of ‘HA’ from natural ecosystems to engineering sciences.• Alkaline extraction on NOM ...
Wenbing Tan, Qiuling Dang
exaly   +3 more sources

Taxonomy of Adaptive Neuro-Fuzzy Inference System in Modern Engineering Sciences.

Comput Intell Neurosci, 2021
Adaptive Neuro-Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) in a single framework.
Chopra S, Dhiman G, Sharma A, Shabaz M, Shukla P, Shukla P, Arora M.   +6 more
europepmc   +2 more sources

Dormitory of Physical and Engineering Sciences: Sleeping Beauties May Be Sleeping Innovations. [PDF]

PLoS One, 2015
A ‘Sleeping Beauty in Science’ is a publication that goes unnoticed (‘sleeps’) for a long time and then, almost suddenly, attracts a lot of attention (‘is awakened by a prince’). The aim of this paper is to present a general methodology to investigate (1)
van Raan AF.
europepmc   +2 more sources

Faire avec l’industrie

Revue d'anthropologie des connaissances, 2023
This article questions the social and institutional conditions by which, in the context of the expansion of entrepreneurial science, proofs of concept become a vector of scientific credibility in engineering sciences.
Benjamin Raimbault
doaj   +1 more source

Social-Ecologic Oriented Curricula in Engineering Education: “Leonardo’s Oath” as an Answer to Janus-Headedness in Engineering Work

Высшее образование в России, 2021
Any engineering activity is characterized by contradictions: social – between engineering problems and technical solutions and technological – between laws of nature and artificial engineering objects.
R. Dreher, V. V. Kondratyev, M. N. Kuznetsova   +2 more
doaj   +1 more source

Multiobjective optimization and decision making in engineering sciences

Optimization and Engineering, 2021
Real-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and ...
Jussi Hakanen, R. Allmendinger
semanticscholar   +1 more source

Design Science, Engineering Science and Requirements Engineering [PDF]

2008 16th IEEE International Requirements Engineering Conference, 2008
For several decades there has been a debate in the computing sciences about the relative roles of design and empirical research, and about the contribution of design and research methodology to the relevance of research results. In this minitutorial we review this debate and compare it with evidence about the relation between design and research in the
Wieringa, Roelf J., Heerkens, Johannes M.G.   +1 more
openaire   +1 more source

A validated patient-specific FSI model for vascular access in haemodialysis [PDF]

Biomechanics and Modeling in Mechanobiology, 2017
The flow rate inside arteriovenous fistulas is many times higher than physiological flow and is accompanied by high wall shear stress resulting in low patency rates.
W. Guess, B. D. Reddy, A. McBride, B. Spottiswoode, J. Downs, T. F. C. F. R. I. Computational, Applied Mechanics, U. C. Town, S. Africa, Department of Mechanical Engineering, Faculty of Electrical Engineering, the Built Environment, S. Mathematics, A. Mathematics, South Africa Infrastructure, Environment, School of Electrical Engineering, The University of Glasgow, Scotland Division of Biomedical Engineering, D. O. Biology, F. O. Sciences, South Africa Siemens Medical Solutions Usa Inc., Malvern, Usa Division of General Surgery, Department of Orthopaedic Surgery, Groote Schuur Hospital, C. Town, South Africa Accede study group, Engineering Sciences, the Environment, U. Southampton, UK.   +31 more
semanticscholar   +1 more source

In Memoriam: Dr.-Ing. Walter Lachenmeier (1945–2022)—Reflections on a Life between Research Funding Administration, Electric Vehicle Development and Technology Transfer

World Electric Vehicle Journal, 2022
These memoirs about Walter Lachenmeier (1945–2022) concentrate on his activities as head of the engineering sciences group of the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), for which he worked from 1977 to 2007, and his following ...
Dirk W. Lachenmeier
doaj   +1 more source

Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences [PDF]

Architecture, Structures and Construction, 2020
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily lives as well as complex and interdisciplinary fields.
M. Z. Naser, A. Alavi
semanticscholar   +1 more source