Main

related bits

0

processing priority

3

site type

0 (generic, awaiting analysis)

review version

11

html import

20 (imported)

Events

first seen date

2025-01-03 02:23:18

expired found date

-

created at

2025-01-03 02:23:18

updated at

2025-01-03 02:23:18

Domain name statistics

length

16

crc

40849

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

87719371 (github.io)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

7093

mp size raw text

3536

mp inner links count

6

mp inner links status

10 (links queued, awaiting import)

Open Graph

title

description

image

site name

author

updated

2026-02-24 02:38:03

raw text

EMDL Workshop 2022 6th International Workshop on Embedded and Mobile Deep Learning Workshop co-located with ACM MobiSys 2022 1 July '22 - Portland, Oregon In recent years, breakthroughs from the field of deep learning (DL) have transformed how sensor data ( e.g. images, audio, ambient light, and even accelerometers and GPS) can be interpreted to extract the high-level information needed by bleeding-edge sensor-driven systems like smartphone apps, wearable devices, and self-driving cars. Today, the state-of-the-art in computational models that, for example, recognize a face, track user emotions, or monitor physical activities, are increasingly based on deep learning principles and algorithms. Unfortunately, deep models typically exert severe demands on local device resources and these conventionally limit their adoption within mobile and embedded platforms. As a result, in far too many cases existing systems process sensor data with machine learning methods that have been s...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Zastosowania AI (149)

index version

1

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

2886

text words

497

text unique words

293

text lines

25

text sentences

14

text paragraphs

3

text words per sentence

35

text matched phrases

0

text matched dictionaries

0

RSS

rss path

rss status

1 (priority 1 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap path

sitemap status

1 (priority 1 already searched, no matches found)

sitemap review version

1

sitemap urls count

0

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

-

sitemap process date

-

sitemap first import date

-

sitemap last import date

-