Abstract: A system and a method for recommending feature sets for a plurality of equipment to a user. The method includes creating a library of contextual and preprocessed feature sets in a hierarchical manner for recommending features sets to a user. The method also includes compiling a plurality of hierarchical feature sets with a last feature set in a hierarchy being generated using an output of a module and incrementally adding the generated feature sets using different modules to the feature sets generated by the module. The method includes validating the generated feature sets to remove errors and using the validated feature sets as labelled data for previous feature sets and using attributes to categorize the labelled data corresponding to the contextual and pre-processed feature sets.

Abstract: A system and a method for recommending feature sets for a plurality of equipment to a user. The method includes creating a library of contextual and preprocessed feature sets in a hierarchical manner for recommending features sets to a user. The method also includes compiling a plurality of hierarchical feature sets with a last feature set in a hierarchy being generated using an output of a module and incrementally adding the generated feature sets using different modules to the feature sets generated by the module. The method includes validating the generated feature sets to remove errors and using the validated feature sets as labelled data for previous feature sets and using attributes to categorize the labelled data corresponding to the contextual and pre-processed feature sets.

Abstract: A tunnel field effect transistor (TFET), including a source region, a gate region, a channel region, and a drain region, the gate region including a gate stack, wherein an area of the source region that is facing the channel region is overlapped by the gate stack.

Abstract: A single field effect transistor capacitor-less memory device, and method of operating the same, including a drain region, a source region, an intrinsic channel region between the drain region and the source region forming the single field effect transistor and a base. The device further includes a fin structure comprising the source region, the intrinsic channel and the drain region, the fin structure extending outwardly from the base, and a double gate comprising a first gate connected to a first exposed lateral face of the intrinsic channel region for transistor control, and a second gate connected to a second exposed lateral face of the intrinsic channel region to generate a potential well for storing mobile charge carriers permitting memory operation, the first gate and the second gate being asymmetric for asymmetric electrostatic control of the device.

Abstract: The present invention relates to a single field effect transistor capacitor-less memory device including a drain region, a source region, an intrinsic channel region between the drain region and the source region forming the single field effect transistor and a base. The device further includes a fin structure comprising the source region, the intrinsic channel and the drain region, the fin structure extending outwardly from the base, and a double gate comprising a first gate connected to a first exposed lateral face of the intrinsic channel region for transistor control, and a second gate connected to a second exposed lateral face of the intrinsic channel region to generate a potential well for storing mobile charge carriers permitting memory operation, the first gate and the second gate being asymmetric for asymmetric electrostatic control of the device. The present invention also relates to a method for operating said device.

Abstract: Commercial size of spending wallet (“SoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“SoW”) is the portion of the spending wallet that is captured by a particular financial company. Commercial SoW is a modeling approach that utilizes various data sources to provide outputs that describe a company's spend capacity. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new account evaluation, and customer management across the lifecycle. Company financial statements are utilized to identify and calculate total business spend of a company that could be transacted using a commercial credit card. A spend-like regression model may then be developed to estimate annual commercial SoSW value for customers and prospects within a credit network.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. A mutual fund rating company can use this CSoW/CSoSW modeling approach to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this modeling approach to predict the performance of companies in a fund's portfolio.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Research analysts can use CSoW/CSoSW to provide a comprehensive and robust indication of the business prospects of a rated company.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Research analysts can use CSoW/CSoSW to provide a comprehensive and robust indication of the business prospects of a rated company.

Abstract: Commercial size of spending wallet (“SoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“SoW”) is the portion of the spending wallet that is captured by a particular financial company. Commercial SoW is a modeling approach that utilizes various data sources to provide outputs that describe a company's spend capacity. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new account evaluation, and customer management across the lifecycle. Company financial statements are utilized to identify and calculate total business spend of a company that could be transacted using a commercial credit card. A spend-like regression model may then be developed to estimate annual commercial SoSW value for customers and prospects within a credit network.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. A mutual fund rating company can use this CSoW/CSoSW modeling approach to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this modeling approach to predict the performance of companies in a fund's portfolio.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Banks and lenders can use CSoW/CSoSW to determine who to lend to and who to deny credit to, as well as for pricing loans and other products in a dynamic way. Banks and lenders can also determine which customers should be retained, as well as identify loans which are likely to default.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Banks and lenders can use CSoW/CSoSW to determine who to lend to and who to deny credit to, as well as for pricing loans and other products in a dynamic way. Banks and lenders can also determine which customers should be retained, as well as identify loans which are likely to default.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. A mutual fund rating company can use this CSoW/CSoSW modeling approach to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this modeling approach to predict the performance of companies in a fund's portfolio.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. A mutual fund rating company can use this CSoW/CSoSW modeling approach to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this modeling approach to predict the performance of companies in a fund's portfolio.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Banks and lenders can use CSoW/CSoSW to determine who to lend to and who to deny credit to, as well as for pricing loans and other products in a dynamic way. Banks and lenders can also determine which customers should be retained, as well as identify loans which are likely to default.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Banks and lenders can use CSoW/CSoSW to determine who to lend to and who to deny credit to, as well as for pricing loans and other products in a dynamic way. Banks and lenders can also determine which customers should be retained, as well as identify loans which are likely to default.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.