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2020 Index IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Vol. 39

2020 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
., +, TCAD Feb. 2020 359-372 Automatic Droplet Sequence Generation for Microfluidic Networks With Passive Droplet Routing.  ...  ., +, TCAD Nov. 2020 3458-3466 Cancer An Efficient Fault-Tolerant Valve-Based Microfluidic Routing Fabric for Droplet Barcoding in Single-Cell Analysis.  ...  Entropy-Directed Scheduling for FPGA High-Level Synthesis. Shen, M., +, TCAD Oct. 2020 2588 -2601 FLASH: Fast, Parallel, and Accurate Simulator for HLS.  ... 
doi:10.1109/tcad.2021.3054536 fatcat:wsw3olpxzbeclenhex3f73qlw4

Final Program

2019 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)  
He is a winner of Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering 2010.  ...  He is an author and editor of ten books and seventeen special issues devoted to the sliding mode control.  ...  Short-term prediction of the earthquake through neural networks and meta-learning Abstract: Although it is impossible to accurately predict an event of earthquake.  ... 
doi:10.1109/iceee.2019.8884545 fatcat:jm72uv7khvh3pab5bxvt7ow4xu

Particulate Matter Monitoring: Past, Present and Future

Luigi Occhipinti, Pelumi Oluwasanya
2017 International Journal of Earth & Environmental Sciences  
Government regulatory agencies have adapted and updated the safe exposure limits as more progress is made both in policy developments and detection system design.  ...  The health problems caused by exposure to airborne Particulate Matter (PM) beyond safe limits have been studied for many years.  ...  Inclusion of prediction methods such as using fuzzy, recurrent, and feed-forward neural networks [51, 52] , can prove to be very useful in addition to actual data obtained from sensors.  ... 
doi:10.15344/2456-351x/2017/144 fatcat:plgj66ue6vdkdm5kxf2u3ntlza

A Survey of Modeling and Control Techniques for Micro- and Nanoelectromechanical Systems

Antoine Ferreira, Sumeet S. Aphale
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Finally, a method for reliability prediction was presented in [95] , based on a combined fuzzy-logic and physics-of-failure approach.  ...  networks (ANN), genetic algorithm (GA) optimization, model prediction (MP), or fuzzy logic algorithms (FL).  ... 
doi:10.1109/tsmcc.2010.2072779 fatcat:qkg5btld4zbsdlhqtzauxqckbe

Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications

Syahidah Nurani Zulkifli, Herlina Abdul Rahim, Woei-Jye Lau
2018 Sensors and actuators. B, Chemical  
Recent developments in spectroscopic techniques and biosensor approach have improved the detection sensitivities, quantitatively and qualitatively.  ...  Particularly, this review focuses on the most recently developed techniques for water contaminant detection applications.  ...  Zulkifli Mohamed Hashim, an expertise in physical chemistry from Institute of Nuclear Malaysia, for critically reviewing the manuscript and intensive discussions.  ... 
doi:10.1016/j.snb.2017.09.078 pmid:32288249 pmcid:PMC7126548 fatcat:lm6yu4q2prfa7nbqrbjhqhbwru

Ultrasonically tuned surface tension and nano-film formation of aqueous ZnO nanofluids

Elif Begum Elcioglu, S.M. Sohel Murshed
2020 Ultrasonics sonochemistry  
Boiling heat transfer, microfluidics and drug development are among the applications where ST is a variable.  ...  To the best of the authors' knowledge, this is the first report of ST- ultrasonication process relation for a nanofluid.  ...  Such methods include artificial neural networks, fuzzy-logic, adaptive neuro-fuzzy interference system (ANFIS) to name a few ( [33] [34] [35] ).  ... 
doi:10.1016/j.ultsonch.2020.105424 pmid:33378726 pmcid:PMC7803840 fatcat:buk4bblvbjdavmh4bpqkcjureq

Chemical Systems for Life Science

Konstantin G. Nikolaev, ITMO University, Russia, Nikolai V. Ryzhkov, Carlos Gershenson, Ekaterina V. Skorb, ITMO University, Russia, Universidad Nacional Autonoma de Mexico, Mexico, ITMO University, Russia
2021 Reviews on advanced materials and technologies  
If any inputs and novel bioinspired approaches to information stor- are located, they will increase the size of the output age and processing. Here and elsewhere we discuss the droplet.  ...  If only one input droplet is placed, the output development of these smart materials, their description droplet will grow in size but will not overlap with the in terms of information theory and  ... 
doi:10.17586/2687-0568-2021-3-1-1-28 fatcat:d46zshs5ozdgrciccsxu24skom

Computational Methods to Interpret and Integrate Metabolomic Data [chapter]

Feng Li, Jiangxin Wang, Lei Nie, Weiwen Zhang
2012 Metabolomics  
Fuzzy k-means (also called Fuzzy c-means) is an extension of k-means clustering technique based on Fuzzy logic.  ...  In DESI, an electrospray emitter is used to generate a spray of charged micro droplets that is directed towards an ambient sample surface.  ...  Together with other 'omics analyses, such as genomics and proteomics, metabolomics plays an important role in functional genomics and systems biology studies in any biological science.  ... 
doi:10.5772/32517 fatcat:ety5vgnvfnaw5evchxhgbab3wy

Review on Unmanned Underwater Robotics, Structure Designs, Materials, Sensors, Actuators, and Navigation Control

Javier Neira, Cristhel Sequeiros, Richard Huamani, Elfer Machaca, Paola Fonseca, Wilder Nina, L. Fortuna
2021 Journal of Robotics  
In this context, the present research is an effort to make a walkthrough of evolution in this area, showing a diversity of structure designs, used materials, sensor and instrumentation technologies, kinds  ...  The paper gives a clear starting point for those who are initializing into this research area; also, it brings some helpful knowledge for those who already have experience.  ...  (iv) Adaptive fuzzy control for a multiple-input multiple-output (MIMO) system [86] . Adaptive (i) Stabilize the motion control of an AUV disturbed by unknown hydrodynamic coefficients [87] .  ... 
doi:10.1155/2021/5542920 fatcat:cvfaijuiune5tboghrefzzhnhu

Machine learning for metabolic engineering: A review

Chris Lawson, Jose Manuel Martí, Tijana Radivojevic, Sai Vamshi R. Jonnalagadda, Reinhard Gentz, Nathan J. Hillson, Sean Peisert, Joonhoon Kim, Blake A. Simmons, Christopher J. Petzold, Steven W. Singer, Aindrila Mukhopadhyay (+3 others)
2020 Metabolic Engineering  
Machine learning provides researchers a unique opportunity to make metabolic engineering more predictable.  ...  Finally, the future perspectives and most promising directions for this combination of disciplines are examined.  ...  license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.  ... 
doi:10.1016/j.ymben.2020.10.005 pmid:33221420 fatcat:hac34yggd5hnrhkikd7elbzz3m

Innovative Technologies for Advancement of WHO Risk Group 4 Pathogens Research [chapter]

James Logue, Jeffrey Solomon, Brian F. Niemeyer, Kambez H. Benam, Aaron E. Lin, Zach Bjornson, Sizun Jiang, David R. McIlwain, Garry P. Nolan, Gustavo Palacios, Jens H. Kuhn
2019 Global Virology III: Virology in the 21st Century  
Risk Group 4 pathogens are a group of often lethal human viruses for which there are no widely available vaccines or therapeutics.  ...  Given their flexibility in design, well-defined architecture, and wide range of sources for cellular materials, organs-on-chips represent an excellent and adaptable model system to study a wide array of  ...  in the brain, can be predicted from abnormal findings.  ... 
doi:10.1007/978-3-030-29022-1_15 fatcat:22guwbxrerhfnozjibwunum5qa

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  ., +, TIM Oct. 2020 7658-7665 Prediction of Step Length Using Neuro-Fuzzy Approach Suitable for Prosthesis Control.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

The Future of Pharmaceutical Manufacturing Sciences

Jukka Rantanen, Johannes Khinast
2015 Journal of Pharmaceutical Sciences  
Comparison of flow microdynamics for a continuous granular mixer with predictions from periodic slice DEM simulations. Powder Technol 221(0):325-336. 103.  ...  The entire pharmaceutical sector is in an urgent need of both innovative technological solutions and fundamental scientific work, enabling the production of highly engineered drug products.  ...  Other types of modeling based on artificial neural networks, fuzzy logic, and neuro-fuzzy modeling have been suggested to solve this problem.  ... 
doi:10.1002/jps.24594 pmid:26280993 pmcid:PMC4973848 fatcat:732dyztpazholijdlzrlaeg26u

Impacts of DNA Microarray Technology in Gene Therapy [chapter]

Jaleh Barar, Amir Ata, Yadollah Omidi
2011 Gene Therapy - Developments and Future Perspectives  
Fig. 1 . 1 Schematic steps of microarray, adapted with permission from Fig. 3 . 3 Main steps of the experimental approach of transcriptomics DNA microarray for wet (A) and dry (B) lab experiments; adapted  ...  Both of these technologies exploit microfluidics/nanofluidics approaches. Basically, nucleic acid hybridization is the keystone of the DNA microarray technology.  ...  Contributions consist of basic and translational research, as well as clinical experiences, and they outline functional mechanisms, predictive approaches, patient-related studies and upcoming challenges  ... 
doi:10.5772/18979 fatcat:alzlo5wyjfe4to3ehgmoqveyei

Scientific Program

2014 Procedia IUTAM  
Xiaoling Hu * , Wenbo Luo, Xiu Liu, Qiang Shen, Zhuangbin Jin, China Constitutive relationship modeling and prediction of armor steel using an artificial neural network SM13-041 Zejian Xu, Fenglei Huang  ...  Hu * , Pedro Ponte Castaneda, USA Droplet impact near a millimeter-size hole FM06-066 Rianne de Jong * , Oscar R.  ... 
doi:10.1016/j.piutam.2014.01.011 fatcat:osy4egnuufdophopfpj75e24jm
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