METHODO

1- L’épistémologie et les SIC

Définition de l’épistémologie

L’épistémologie est la branche de la philosophie qui étudie les sciences, leurs

fondements, leurs méthodes et leurs conditions de validité.

Épistémo → règles qui caractérisent un domaine scientifique

Logie → science / discours rationnel

En SIC, on distingue :

des règles générales (communes aux sciences humaines),

des règles spécifiques propres aux SIC.

Les SIC partagent donc des normes académiques

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Exam nurse

  1. bile – a digestive fluid that helps digest fats
  2. appendix – a small organ attached to the large intestine
  3. celiac disease – an autoimmune disease caused by gluten
  4. defecation – faeces / the process of passing stool
  5. weight gain – putting on weight / an increase in body weight
  6. palpate – to examine by touch
  7. stool – solid waste eliminated from the body
  8. bowel – the intestines (small or large)
  • The pancreas produces contains digestive enzymes.
  • Peptic ulcers may affect the lining of the
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eco 5th

*Human Development Index (HDI) is astatistical measure used to judge the overall development of a country, not only by income but also by health and education.HDI is based on three main indicators:

Health

Life Expectancy at Birth

Shows how long people live

Education

Mean Years of Schooling

Expected Years of Schooling

Standard of Living

Measured by Per Capita Income (GNI per capita)

HDI Value Range

HDI value lies between 0 and 1

HDI Value Level of Development
0.800 – 1.000 Very High Human
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projet structurant

1. Fondamentaux de la science économique

La science économique est une science humaine et sociale qui étudie la production, les échanges, les décisions et la création de richesse au sein d’une société.

Elle analyse les interactions entre les agents économiques, fondées sur la communication, l’anticipation et la confiance.

2. Les agents économiques

Un agent économique est un acteur qui participe à l’activité économique par des décisions de production, de consommation ou de financement.

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CodeSnippets



// Number of ways to make change for amount N using given coin denominations
// Time: O(N * C), Space: O(N) where C = number of coins
staticlongGetNumberOfWays(longN, long[] Coins)
{
long[] ways=newlong[(int)N+1];
ways[0] =1;

for (inti=0; i<Coins.Length; i++)
    {
for (intj=0; j<ways.Length; j++)
        {
if (Coins[i] <=j)
            {
ways[j] =ways[j] +ways[(int)(j-Coins[i])];
            }
        }
    }
returnways[(int)N];
}

// Minimum number of coins needed
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ACV dsCSE

Q1. Explain the concept of image representation and image processing in Computer Vision

In computer vision, image representation is the method of converting a real-world scene into a digital format that a computer can understand and process. A digital image is represented as a two-dimensional function f(x,y)f(x,y)f(x,y), where xxx and yyy denote spatial coordinates and fff represents the intensity value at that location. In grayscale images, each pixel stores a single intensity value, whereas in

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Huyi87uu

UNIT I (b): Transportation, Deposition & Lithification(Sedimentary Petrology – CC VI)1. Recap (Background concepts)Before understanding transportation and deposition, we must recall what happens before sediments move:-1.1 Sedimentary rocks-Formed by accumulation, deposition, and lithification of sediments.-Cover ~75% of Earth’s surface.-1.2 Weathering-Weathering is the breakdown of rocks in situ.(a) Physical weathering-Mechanical disintegration-No chemical change-Produces clastic sediments-

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scienze 290126

Schrödinger 2

Schrödinger arriva alla stessa conclusione di Heisenberg ma con uno strumento molto più complicato. Secondo lui gli elettroni non occupano delle orbite prestabilite intorno al nucleo, l’elettrone non può essere trattato con le leggi della fisica classica: non si può descrivere il moto di un atomo come quello di una macchina. Bisogna usare formule più difficili, con lui nasce la meccanica quantistica, cioè la fisica dell’atomo, con la quale si calcola la probabilita maggiore

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ACV

Q. Explain the multi-stage architecture of Fast R-CNN and how it improves upon R-CNN.  

Definition:   Region-based Convolutional Neural Network 
Fast R-CNN is an object detection algorithm that improves R-CNN by using a single CNN and a multi-stage training architecture for faster and more accurate detection.

Multi-stage Architecture of Fast R-CNN

Fast R-CNN works in the following stages:

Input Image
– The whole image is given as input once.

Shared Convolutional Layers
– A single CNN extracts

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