Abstract: A durable barrier film including a polymeric substrate layer having a thickness between (10) and (100) pm, an inorganic coating layer, and a polymeric buffer layer positioned between the polymeric substrate layer and the inorganic coating layer, the polymeric buffer layer in direct contact with the inorganic coating layer, wherein the inorganic coating layer comprises a wave structure characterized by an average amplitude between (0.25) and (1.0) pm and a wavelength between (2) and (5) pm.

Abstract: The present invention is related to a battery module packaging comprising a multilayer structure 1, said structure comprising an inner polymer layer 2, an outer polymer layer 4 and an aluminum foil 5 sandwiched between the inner polymer layer 2 and the outer polymer layer 4, or an inner polymer layer 2, an outer polymer layer 4, an aluminum foil 5 sandwiched between the inner polymer layer 2 and the outer polymer layer 4 and an intermediary layer 3 sandwiched between aluminum foil 5 and inner polymer layer 2. In use, the inner polymer layer 2 is in direct contact with the cell part of the battery and the outer polymer layer 4 is in contact with a hardware element of the battery.

Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.

Abstract: The present invention is related to a retortable package comprising a flexible multilayer substrate comprising a reverse-printed layer, said reverse-printed layer comprising one or more crosslinked ink layer(s), and to a method for producing said multilayer laminate.

Abstract: Described is an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental even conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.

Abstract: Described is an approach for performing context-aware prognoses in machine learning systems. The approach harnesses streams of detailed data collected from a monitored target to create a context, in parallel to ongoing model operations, for the model outcomes. The context is then probed to identify the particular elements associated with the model findings.

Abstract: Described is an improved approach to implement selection of training data for machine learning, by presenting a designated set of specific data indicators where these data indicators correspond to metrics that end users are familiar with and are easily understood by ordinary users and DBAs within their knowledge domain. Selection of these indicators would correlate automatically to selection of a corresponding set of other metrics/signals that are less understandable to an ordinary user. Additional analysis of the selected data can then be performed to identify and correct any statistical problems with the selected training data.

Abstract: The present invention is related to a retortable package comprising a flexible multilayer substrate comprising a reverse-printed layer, said reverse-printed layer comprising one or more crosslinked ink layer(s), and to a method for producing said multilayer laminate.

Abstract: The present invention is related to a flexible multilayer packaging film with high gas barrier properties comprising: one or more support layer(s) (1,10); one or more barrier layer(s) (6,60), each of the one or more barrier layer(s) (6,60) comprising an organic layer (2,20) and an inorganic layer(3,30); wherein said multilayer film has an oxygen transmission rate of less than 0.1 cm3/m2/24 h/atm, preferably less than 0.05 cm3/m2/24 h/atm, most preferably less than 0.03 cm3/m2/24 h/atm measured at 23° C. and 50% relative humidity.

Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.

Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.

Abstract: The disclosed technology relates to a solar module in the form of a laminate which exhibits a solar cell system having an encapsulation layer on a back side and a front side, a barrier layer arranged on the back side encapsulation layer and arranged on the front side encapsulation layer, a first SiOx layer, a base web layer, a second SiOx layer, an optional lacquer layer, an adhesive layer and a glass layer whereby a silver containing low-E coating is arranged within one or between two front side layers thereby protecting the corrosion sensitive silver containing low-E coating from exposure to moisture.

Abstract: The present invention is related to a flexible multilayer packaging film with high gas barrier properties comprising: one or more support layer(s) (1,10); one or more barrier layer(s) (6,60), each of the one or more barrier layer(s) (6,60) comprising an organic layer (2,20) and an inorganic layer(3,30); wherein said multilayer film has an oxygen transmission rate of less than 0.1 cm3/m2/24 h/atm, preferably less than 0.05 cm3/m2/24 h/atm, most preferably less than 0.03 cm3/m2/24 h/atm measured at 23° C. and 50 % relative humidity.

Abstract: Described is an improved approach to implement selection of training data for machine learning, by presenting a designated set of specific data indicators where these data indicators correspond to metrics that end users are familiar with and are easily understood by ordinary users and DBAs within their knowledge domain. Selection of these indicators would correlate automatically to selection of a corresponding set of other metrics/signals that are less understandable to an ordinary user. Additional analysis of the selected data can then be performed to identify and correct any statistical problems with the selected training data.

Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.

Abstract: Described is an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental even conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.

Abstract: Described is an approach for performing context-aware prognoses in machine learning systems. The approach harnesses streams of detailed data collected from a monitored target to create a context, in parallel to ongoing model operations, for the model outcomes. The context is then probed to identify the particular elements associated with the model findings.

Abstract: Insulating glazing unit containing at least one spacer for the spacing of glass panes received in a frame, wherein a barrier film is applied to the spacer, at least on the side directed towards the frame. The barrier film is a composite film, which, on the side directed towards the spacer, has an adhesive or sealing layer as the internal layer and, on the side directed towards the frame, a barrier layer containing oriented EVOH and a thin adhesive layer of metal or metal oxide located on the outside and directed towards the frame.

Abstract: Insulating glazing unit containing at least one spacer for the spacing of glass panes received in a frame, wherein a barrier film is applied to the spacer, at least on the side directed towards the frame.

Abstract: A packaging element formed from a plastic with an inorganic barrier layer with good penetration barrier effect against water vapour and gasses, where the packaging element is fitted with a coating generated in a vacuum with materials with the desired penetration barrier effect. The vacuum coating is over-lacquered to protect against abrasion and corrosion and to improve the mechanical stability.