Você procurou por: detection (Inglês - Telugu)

BPM Detection
BPM కనిపెట్టుట

Fish detection
చేపలను కనిపెట్టడం

Fire detection
మంటలు కనిపెట్టడం

Oestrus detection
ఉష్ణ శోధనము

Oestrus detection
ఋతు కాల గుర్తింపు

Automatic Detection
దానంతటదే గుర్తింపు

forest fire detection
అటవీ అగ్ని ప్రమాదం

Automatic (Geo IP detection)
స్వయంచాలకం (Geo IP detection)Canada (amazon.ca)"), "CA

Automatic Proxy Variable Detection
స్వయంచాలక ప్రోక్సీ వేరియబుల్ గుర్తింపు

Discovering Emerging Topics in Social Streams via Link-Anomaly Detection
మీ langage పూర్తి వాక్యం టైప్

A User Interface server for Solid, the hardware detection system
Solid కొరకు ఒక వినియోగదారక ఇంటర్‌ఫేస్ సేవిక, హార్‍డ్‌వేర్ గుర్తింపు వ్యవస్థName

Bhagat Singh From Wikipedia, the free encyclopedia This article is about the revolutionary. For early immigrant in USA, see Bhagat Singh Thind. Bhagat Singh Bhagat Singh 1929 140x190.jpg Bhagat Singh as he appeared in 1929 after cutting his hair in Lahore to escape detection by police Born September 1907[a] Jaranwala Tehsil, Punjab, British India Died 23 March 1931 (aged 23) Lahore, Punjab, British India Organization Naujawan Bharat Sabha, Kirti Kisan Party, Hindustan Socialist Republican Association Movement Indian Independence movement Bhagat Singh (IPA: [pə̀ɡət̪ sɪ́ŋɡ] ( listen) 27/28 September 1907 – 23 March 1931)[a] was an Indian socialist considered to be one of the most influential revolutionaries of the Indian independence movement. He is often referred to as "Shaheed Bhagat Singh", the word "Shaheed" meaning "martyr" in a number of South Asian and Middle Eastern languages. Born into a Sikh family which had earlier been involved in revolutionary activities against the British Raj, as a teenager Singh studied European revolutionary movements and was attracted to anarchist and Marxist ideologies. He was involved in several revolutionary organisations and became prominent in the Hindustan Republican Association (HRA), which changed its name to the Hindustan Socialist Republican Association (HSRA) in 1928. Seeking revenge for the death of Lala Lajpat Rai, Singh was involved in the murder of British police officer John Saunders. He eluded efforts by the police to capture him. Soon after, together with Batukeshwar Dutt, he and an accomplice threw two bombs and leaflets inside the Central Legislative Assembly. The two men were arrested, as they had planned to be. Held on this charge, he gained widespread national support when he underwent a 116-day fast in jail, demanding equal rights for European prisoners and those Indians imprisoned for what he believed were political reasons. During this time, sufficient evidence was brought against him for a conviction in the Saunders case, after trial by a Special Tribunal and appeal at the Privy Council in England. He was convicted and subsequently hanged for his participation in the murder, aged 23. His legacy prompted youth in India to begin fighting for Indian independence and he continues to be a youth idol in modern India, as well as the inspiration for several films. He is commemorated with a large bronze statue in the Parliament of India, as well as a range of other memorials. Contents [hide] 1 Early life 2 Later revolutionary activities 2.1 Lala Lajpat Rai's death and murder of Saunders 2.2 Escape 2.3 1929 Assembly bomb throwing incident 2.4 Assembly bomb case trial 2.5 Further trial and execution 3 Popularity 4 Ideals and opinions 4.1 Atheism 4.2 Regarding death 4.3 Criticism 5 Legacy 5.1 Memorials and museums 5.2 Modern day 6 See also 7 References 8 Further reading 9 External links
స్వచ్ఛమైన

This method has been validated in a single laboratory and method detection limits have been determined for each analyte listed above. The method detection limit (MDL) is defined as the statistically calculated minimum amount that can be measured with 99% confidence that the reported value is greater than zero1. For the listed analytes, MDLs which range from 0.001-0.015 μg/L are listed in Table 3.
మీ langage పూర్తి వాక్యం టైప్

1 INTRODUCTION Pattern classification systems based on machine learning algorithms are commonly used in security-related applications like biometric authentication, network intrusion detection, and spam filtering, to discriminate between a “legitimate” and a “malicious” pattern class (e.g., legitimate and spam emails). Contrary to traditional ones, these applications have an intrinsic adversarial nature since the input data can be purposely manipulated by an intelligent and adaptive adversary to undermine classifier operation.
మీ langage పూర్తి వాక్యం టైప్