Results 51 to 60 of about 331,093 (287)
Modeling of Adaptive Multi-Output Soft-Sensors With Applications in Wastewater Treatments
IEEE Access, 2019 Given the multivariable coupling, strong nonlinearity and time-varying features in the wastewater treatment processes, adaptive strategies, including just-in-time learning (JITL), time difference (TD), and moving window (MW) methods have been chosen in ...
Jing Wu +4 more
doaj +1 more source
Alexandria Engineering Journal, 2022 In wireless sensor networks it may occur that values cannot be measured directly by sensors or are costly. In those scenarios, the use of soft sensors is a promising solution, particularly when dealing with multimodal sensors that record multimedia ...
Horacio Paggi +4 more
doaj +1 more source
Exploiting short-term memory in soft body dynamics as a computational resource [PDF]
, 2014 Soft materials are not only highly deformable but they also possess rich and diverse body dynamics. Soft body dynamics exhibit a variety of properties, including nonlinearity, elasticity, and potentially infinitely many degrees of freedom.
Hauser, Helmut +3 more
core +1 more source
Robust soft sensors for SBR monitoring
Water Science and Technology, 2001 In wastewater treatment some process variables may be very difficult to measure directly because of the non-availability or excessive cost of sensors. An alternative is to use ‘soft sensors” that provide online estimates of these inacessible variables by calculations based on auxiliary measurable variables.
D, Zyngier +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
A two-step multivariate statistical learning approach for batch process soft sensing
Digital Chemical Engineering, 2021 Statistical machine learning algorithms have been widely used to analyse industrial data for batch process monitoring and control. In this study, we aimed to take a two-step approach to systematically reduce data dimensionality and to design soft-sensors
Aaron Hicks +7 more
doaj +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Recent Advances in Perceptive Intelligence for Soft Robotics
Advanced Intelligent Systems, 2023 Over the past decade, soft robot research has expanded to diverse fields, including biomedicine, bionics, service robots, human–robot interaction, and artificial intelligence. Much work has been done in modeling the kinematics and dynamics of soft robots,
Zhuofan Lin +8 more
doaj +1 more source
, 2013 This conference paper is available to download from the publisher’s website at the link below.Hacking the Body is a proposed collaborative re-search project that explores the use of the concept of 'hacking' to repurpose and re-imagine internal signals ...
Baker, C
core
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
Molecular Oncology, EarlyView.We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source