Articles tagged University
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![Vit chennai Master thesis for Big data analytics](https://writelatex.s3.amazonaws.com/published_ver/5870.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=a942098178e2a48aaac62b05e56a99d415d4200fcc84f7ecd218fe9b96220e12)
Vit chennai Master thesis for Big data analytics
In Email Analytics, our main focus on criminal and civil investigation from large email dataset. It is very difficult to deal with challenging task for investigator due to large size of email dataset. This paper offer an interactive email analytics various to current and manually intensive technique is used for search evidence from large email dataset. In investigation process, many emails are irrelevant to the investigation so it will force investigator to search carefully through email in order to find relevant emails manually. This process is very costly in terms of money and times. To help to investigation process. We combine Elasticsearch, Logstash and Kibana for data storing, data preprocessing, data visualization and data analytics and displaying results. In this process reduce the number of email which are irrelevant for investigation. It shows the relationship between them and also analyzing the email corpus based on topic relation using text mining.
gajanan mirkhale
![The Mathematical Modelling of The Outbreak of Ebola](https://writelatex.s3.amazonaws.com/published_ver/4298.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=0fa8dbfd5dd0f4dc596cef46c4ceb4e33e82d0989940a239b36d91c1e86f1227)
The Mathematical Modelling of The Outbreak of Ebola
Proposal Report
Nur'Adnin Syaza
![Breedbandtoegangsnetwerk voor treinen door middel van Radio-over-Fiber](https://writelatex.s3.amazonaws.com/published_ver/3786.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=31bd4ba487115bb970d906ac7857933854b2d9f03ac452ffd1ac9e997b7de565)
Breedbandtoegangsnetwerk voor treinen door middel van Radio-over-Fiber
Scriptie voorgelegd tot het behalen van de graad van Burgerlijk Ingenieur in de Computerwetenschappen: Informatie- en Communicatietechnologie, juni 2006
(Downloaded from LaTeX templates en logo's)
Peter Dedecker (uploaded by LianTze Lim)
![Automatic Structural Segmentation of Music: Insightfully clustering the beats in a given piece of music to reflect it's musical structure](https://writelatex.s3.amazonaws.com/published_ver/3920.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=4687370a12d3339cf13ff17ba819895efcffb370fb9f3c83794bebd9f0c927f0)
Automatic Structural Segmentation of Music: Insightfully clustering the beats in a given piece of music to reflect it's musical structure
This Project posits elementary analogies of existing Probabilistic and Machine Learning models that have been used to find solutions to the problem of the Structural Segmentation of Musical audio. I have tried to use the idea that the chord of a given beat or frame of a song is an analogous representation of the states generated by trained Hidden Markov Models in generating feature vectors for the aforementioned problem; and that the knowledge of the temporal boundaries within which, a group of frames lie, can be used as constraints in creating the feature vectors that are eventually clustered to identify the pattern in which the various segments of a song repeat.
Lyndon Quadros
![Trabalho de Sistemas Distribuídos](https://writelatex.s3.amazonaws.com/published_ver/2607.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=9797ee36428a7a924db29eab632817e27ce91d8854fa850be6505a749e13430f)
Trabalho de Sistemas Distribuídos
Este trabalho tem a missão de explicar alguns temas de sistemas distribuídos, estes
sistemas são fundamentais para a comunicação, integração e processamento de dados via
internet ou rede local. Ao longo do trabalho abordaremos os principais tópicos tais como:
WebServices, Padrões de Sockets entre outros.
Cassio Ferraz
![Neo4j und..](https://writelatex.s3.amazonaws.com/published_ver/2023.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=a831cf0307d191be22e03a3fc4951b42c60e7a2f5a5e7483b244934d5674f166)
Neo4j und..
abstract+ einleitung
ilhem
![Artificial Neural Networks for Engineering Students](https://writelatex.s3.amazonaws.com/published_ver/1957.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=91cf67437b93ea297e97f00800383dc2350bb045b1142e2f34b1d8d363b58d9a)
Artificial Neural Networks for Engineering Students
A primer to get UCSD ECE students into neural networks.
Matthew Burns
![Espectro electromagnético](https://writelatex.s3.amazonaws.com/published_ver/1792.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=0bb4e0ef9f0524ee55e996ecd509bb7c482ba5b74a536914250ef8b18092d319)
Espectro electromagnético
Beamer theme "Cuerna", version 1.0
Copyright Gubertino Cavalieri (mathsguy@bluesimplex.com)
October 2014. distributed under the GNU GPL Licence.
Fer Moreno
![Geothermal Resources in Algeria](https://writelatex.s3.amazonaws.com/published_ver/1662.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240717T181755Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240717/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=4692e01d3ef25a9db73c2a8935a2b492cd818b0f392af6f86f6c8de3d0a67ee4)
Geothermal Resources in Algeria
The electrical energy from renewables in Algeria contributed about 3.4\% (280 MW) in 2008 of a total power of 8.1 GWe and will reach 5\% by the year 2017 according to the Algerian Electricity and Gas Regulation Commission (CREG). The country’s target is reaching 40\% by 2030. The geothermal resources in Algeria are of low-enthalpy type. Most of these geothermal resources are located in the north of the country and generate a heat discharge of 240 MWt.
Hakim