Suchergebnisse - sequential ((least OR last) OR past) squares programming algorithm*

End-effector Cartesian stiffness shaping - sequential least squares programming approach

Autoren: Nikola Knezevic Branko Lukic Kosta Jovanovic et al.

Quelle: Serbian Journal of Electrical Engineering, Vol 18, Iss 1, Pp 1-14 (2021)

Schlagwörter: cartesian stiffness control, sequential last squares programming, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, physical human-robot interaction, 0210 nano-technology, robot redundancy, 01 natural sciences, TK1-9971, 0104 chemical sciences

Zugangs-URL: http://www.doiserbia.nb.rs/ft.aspx?id=1451-48692101001K
https://doaj.org/article/8f37c41634d84faab7906989ada91e90
https://sjee.ftn.kg.ac.rs/index.php/sjee/article/view/570
https://sjee.ftn.kg.ac.rs/index.php/sjee/article/download/570/528

End-effector Cartesian stiffness shaping: Sequential least squares programming approach

Autoren: Knežević, Nikola Lukić, Branko Jovanović, Kosta et al.

Quelle: Serbian Journal of Electrical Engineering (2021) 18(1):1-14 ; ISSN: 1451-4869

Schlagwörter: Cartesian Stiffness Control, Robot Redundancy, Physical Human-Robot Interaction, Sequential Last Squares Programming

Dateibeschreibung: application/pdf; txt

Verfügbarkeit: http://scindeks.ceon.rs/article.aspx?artid=1451-48692101001K

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction.

Autoren: Zhang, Yiwen Lahmiri, Salim

Quelle: Entropy; Nov2025, Vol. 27 Issue 11, p1122, 18p

Schlagwörter: DEEP learning, ENSEMBLE learning, PETROLEUM sales & prices, ENERGY consumption, BOOSTING algorithms, CONVOLUTIONAL neural networks, MATHEMATICAL optimization, LONG short-term memory

Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming

Autoren: Paolo Fracas Kyle V. Camarda Edwin Zondervan

Quelle: Physical Sciences Reviews. 8:121-156

Schlagwörter: SLSQP, 13. Climate action, 9. Industry and infrastructure, interconnected hybrid microgrids, techno-economic assessment, SDG 7 - Affordable and Clean Energy, microgrid optimization, renewable energy systems, 01 natural sciences, 7. Clean energy, NLA, distributed energy resources, 0105 earth and related environmental sciences

Zugangs-URL: https://research.utwente.nl/en/publications/shaping-the-future-energy-markets-with-hybrid-multimicrogrids-by-
https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2Fbbe56d29-aca2-4fbb-a375-0f954099e825

Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation

Autoren: Ma, Yingjie Zhang, Nan Li, Jie et al.

Weitere Verfasser: Ma, Yingjie Zhang, Nan Li, Jie et al.

Quelle: Ma, Y, Zhang, N & Li, J 2022, Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation. in L Montastruc & S Negny (eds), Computer Aided Chemical Engineering. Elsevier BV.

Zugangs-URL: https://research.manchester.ac.uk/en/publications/d304bc26-0b95-44bb-8f08-2f63ecf3d0b2

Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm

Autoren: Ma, Yingjie Zhang, Nan Li, Jie

Quelle: Ma, Y, Zhang, N & Li, J 2022, Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm. in Computer Aided Chemical Engineering. Elsevier BV.

Zugangs-URL: https://research.manchester.ac.uk/en/publications/3f2a7af2-7469-472f-afc7-6d1e6684d758

Improved Sequential Least Squares Programming–Driven Feasible Path Algorithm for Process Optimisation

Quelle: Computer Aided Chemical Engineering ISBN: 9780323958790

Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm

Quelle: Computer Aided Chemical Engineering ISBN: 9780323851596

Study of the nuclear mass model by sequential least squares programming.

Autoren: Yang, Hang Chen, Cun-Yu Xu, Xiao-Yu et al.

Quelle: Nuclear Science & Techniques; Jul2025, Vol. 36 Issue 7, p1-9, 9p

Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning.

Autoren: Zhang, Pan Hu, Kang Yang, Yuting et al.

Quelle: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1266, 16p

Schlagwörter: MACHINE learning, ENSEMBLE learning, DISTRIBUTION (Probability theory), HEALTH status indicators, ALGORITHMS, DEEP learning

iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming.

Autoren: Cai J Zhao J Bin Y et al.

Quelle: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2025 Jun; Vol. 17 (2), pp. 277-292. Date of Electronic Publication: 2024 Nov 15.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

MeSH-Schlagworte: Amyloid*/chemistry , Software* , Computational Biology*/methods , Oligopeptides*/chemistry, Least-Squares Analysis ; Algorithms ; Amino Acid Sequence ; Humans ; Hydrophobic and Hydrophilic Interactions

Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning

Autoren: Pan Zhang Kang Hu Yuting Yang et al.

Quelle: Electronics ; Volume 14 ; Issue 7 ; Pages: 1266

Schlagwörter: dissolved gas concentration, Dempster–Shafer evidence theory, Bagging, sequential least squares programming algorithm, mean square error

Dateibeschreibung: application/pdf

Relation: Power Electronics; https://dx.doi.org/10.3390/electronics14071266

Verfügbarkeit: https://doi.org/10.3390/electronics14071266

Improved SQP and SLSQP algorithms for feasible path-based process optimisation

Autoren: Ma, Yingjie Gao, Xi Liu, Chao et al.

Quelle: Ma, Y, Gao, X, Liu, C & Li, J 2024, 'Improved SQP and SLSQP algorithms for feasible path-based process optimisation', COMPUTERS & CHEMICAL ENGINEERING, vol. 188, 108751. https://doi.org/10.1016/j.compchemeng.2024.108751

Schlagwörter: Process optimisation, Feasible path algorithm, Numerical noise, Ill conditioning, Sequential least squares programming algorithm, Sequential quadratic programming

Verfügbarkeit: https://research.manchester.ac.uk/en/publications/5bf65570-a19c-4f6d-9b48-b0f6bdba62a0
https://doi.org/10.1016/j.compchemeng.2024.108751

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Autoren: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia et al.

Quelle: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry.

Autoren: Singh, Harshdeep Majumder, Sonjoy Mishra, Sabyashachi

Quelle: Journal of Chemical Physics; 7/28/2023, Vol. 159 Issue 4, p1-12, 12p

Schlagwörter: QUANTUM chemistry, GROUND state energy, STOCHASTIC approximation, HYDROGEN fluoride, ALGORITHMS, QUANTUM perturbations

Predictive analysis of pulmonary fibrosis progression using gradient boosting classifier and DICOM images.

Autoren: Ramyea, R. Kasthuri, N. Kumar, Kandasamy Senthil et al.

Quelle: AIP Conference Proceedings; 3/27/2024, Vol. 2966 Issue 1, p1-8, 8p

Schlagwörter: PULMONARY fibrosis, ASBESTOS, COAL dust, BOOSTING algorithms, DISEASE risk factors, TREE growth

A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction

Autoren: Yiwen Zhang Salim Lahmiri

Quelle: Entropy, Vol 27, Iss 11, p 1122 (2025)

Schlagwörter: deep learning, ensemble system, Bayesian optimization, sequential least squares programming, crude oil market, forecasting, Science, Astrophysics, QB460-466, Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1099-4300/27/11/1122; https://doaj.org/toc/1099-4300

Zugangs-URL: https://doaj.org/article/d65f8761630247aab8b9eb706b33928c

Decoupling Offloading Decision and Resource Allocation via Deep Reinforcement Learning and Sequential Least Squares Programming

Autoren: Zhihao Xuan Guiyi Wei Jifa Zhang et al.

Quelle: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030677190

Schlagwörter: 7. Clean energy

Zugangs-URL: https://dblp.uni-trier.de/db/conf/chinacom/chinacom2020.html#XuanWNZ20
https://rd.springer.com/chapter/10.1007/978-3-030-67720-6_38
https://link.springer.com/chapter/10.1007/978-3-030-67720-6_38

A Smooth-Delayed Phase-Type Mixture Model for Human-Driven Process Duration Modeling.

Autoren: Wang, Dongwei McClean, Sally Yang, Lingkai et al.

Quelle: Algorithms; Sep2025, Vol. 18 Issue 9, p575, 28p

Schlagwörter: HUMAN behavior, PARAMETER estimation, UNITS of time, STATISTICAL models, BAYESIAN analysis, HUMAN behavior models