Plc automation and control strategy in a stirling solar power system
HIGHLIGHTS who: Dan-Adrian Mocanu et al. from the Department of Engineering Thermodynamics, University POLITEHNICA of Bucharest have published the Article: […]
Computer_Science
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A machine learning approach to designing guidelines for acute aquatic toxicity
HIGHLIGHTS who: Barry Husowitz from the Department of Applied Mathematics, Wentworth Institute of Technology, Boston, USA Department of Mathematics, StThomas
Computer_Science
Future internet
HIGHLIGHTS who: Ajit Kumar and collaborators from the School of Computing Science and Engineering, VIT University Bhopal, Bhopal, India have
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Psychological medicine original article
HIGHLIGHTS who: Attention and collaborators from the Department of Psychiatry, Campania University “Luigi Vanvitelli”, Naples, Italy have published the article:
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Properties of bootstrap tests for n‐of‐1 studies
HIGHLIGHTS who: Sharon X. Lin and collaborators from the University of Southampton, UK have published the research work: Properties of
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Journal of applied sciences in travel and hospitality issn: 2622-8319, vol. 3, no. 1, 2020, pp. 51-60
HIGHLIGHTS who: Yuliansyah from the (UNIVERSITY) have published the article: Journal of Applied Sciences in Travel and Hospitality ISSN: 2622-8319,
Computer_Science
Genetic algorithm-based design optimization of electromagnetic valve actuators in combustion engines
HIGHLIGHTS who: Seung Hwan Lee and colleagues from the School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyangsi have
Computer_Science
Fully synthesizable low-area analogue-to-digital converters with minimal design effort based on the dyadic digital pulse modulation
HIGHLIGHTS who: Fully Synthesizable Low-Area Analogue-to-Digital and collaborators from the of Electrical Computer Engineering, National University of Singapore, Singapore, Singapore
Computer_Science
Muscle force estimation from lower limb emg signals using novel optimised machine learning techniques
HIGHLIGHTS who: Chiako Mokri from the Corrective Exercise and Rehabilitation Laboratory, Faculty of Mechanical and Mechatronics Engineering, Shahrood University of
Computer_Science
Ais-based intelligent vessel trajectory prediction using bi-lstm
HIGHLIGHTS who: AIS-Based Intelligent Vessel Trajectory and collaborators from the of Electronic Engineering, National University of Science and Technology, Taiwan