Şunu aradınız:: மீண்டும்செய் filter (Tamilce - İngilizce)

மீண்டும்செய்
redo

அனைத்தும்default filter name
all

புதியimportant articles filter
new

தன்னுடையக் கட்டுரைdefault filter name
own articles

filter: show all file types
show:

படிக்கப் படாத தூள்default filter name
threads with unread

பிழை செய்தி: default filter name
error message:

ktexteditor load/ save filter/ check செருகிcomment
ktexteditor load/ save filter/ check plugin

தோற்றத்தைத் தேர்வு செய்name used for a virgin filter
select size

& படியெடு@ action: button delete a filter
copy...

ஒர்லியன்ஸ்prefix for id number identifying a filter (optional)
lens

ஒலி கோப்பினைத் தேர்வுச் செய்filedialog filter for *. ics *. ical
choose sound file

import filter for cachegrind/ callgrind generated profile data files
new%1

தற்போது செயலில் உள்ள அலங்காரத்தை நீக்க இந்த பட்டனை அழுத்தவும். @ label default filter name
press this button to remove the currently active filter.

... that you can filter on any header by simply entering its name in the first edit field of a search rule?
... that you can filter on any header by simply entering its name in the first edit field of a search rule?

click this button to create a new filter. the filter will be inserted just before the currently selected one, but you can always change that later on. if you have clicked this button accidentally, you can undo this by clicking on the delete button..
click this button to copy a filter. if you have clicked this button accidentally, you can undo this by clicking on the delete button.

abstract while performance, power and area remain to be two major design goals, power consumption has become a critical concern in today’s vlsi system design. complex arithmetic operations are mainly used in dsp application. to develop a modified booth recoder for performing direct recoding of sum of two numbers in its modified booth (mb) form. it mainly focus on optimizing the design of the fused add multiply(fam) operator for increasing performance, decreases the critical path delay and reduces area and power consumption. in this project, the design of sum to modified booth recoding (sm-b) technique is implemented inorder to reduce the number of partial product. in this project explore three alternative schemes of the proposed s-mb approach using conventional and signed-bit full adders (fas) and half adders (has) as building blocks. low-cost finite impulse response (fir) designs are presented using the concept of faithfully rounded truncated multipliers. nonuniform coefficient quantization with proper filter order is proposed to minimize total area cost. multiple constant multiplication/accumulation in a direct fir structure is implemented using an improved version of truncated multipliers. comparisons with previous fir design approaches show that the proposed designs achieve the best area and power results. பரிவர்த்தனை
similar to most big data applications, the big data tendency also poses heavy impacts on service recommender systems. with the growing number of alternative services, effectively recommending services that users preferred has became an important research issue. service recommender systems have been exposed as valuable tools to help users deal with services overload and provide appropriate recommendations to them. in kasr, keywords are used to indicate users' preferences, and a user-based collaborative filtering algorithm is adopted to generate appropriate recommendations. more specifically, a keyword-candidate list and domain thesaurus are provided to help obtain users' preferences. the active user gives his/her preferences by selecting the keywords from the keyword-candidate list, and the preferences of the previous users can be extracted from their reviews for services according to the keyword-candidate list and domain thesaurus. the proposed system proposes methods it aims at presenting a personalized service recommendation list and recommending the most appropriate service(s) to the users. to improve the scalability and efficiency of kasr in “big data” environment, the proposed system proposes techniques that have been implemented it on a map reduce framework in hadoop platform. it improves the recommendation accuracy by considering the location of the user while recommend the service.