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![Behavioural observations on Long-billed vultures (Gyps indicus) at Adarwadi nesting cliff in Tamhini Ghat, Maharashtra, India](https://writelatex.s3.amazonaws.com/published_ver/6891.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=5e8f5f07decb1a267c4a40d38dbe54323571fcd2d7c37f779fd767202a85d996)
Behavioural observations on Long-billed vultures (Gyps indicus) at Adarwadi nesting cliff in Tamhini Ghat, Maharashtra, India
Behavioural observations on the critically endangered Long-billed vultures (Gyps indicus) at Adarwadi nesting cliff in Tamhini Ghat, Maharashtra, India.
Nests and perches identified and statistical data collected for the same.
Dr Anand Padhye Kshitija Kulkarni Devna Arora Soham Dixit Neelesh Dahanukar
![LABORATORIO 3](https://writelatex.s3.amazonaws.com/published_ver/4237.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=2c79584211a69eed112044199e2d0ddc95627418bd6cbae71444c8948fe58541)
LABORATORIO 3
laborario 3 de calculo vectorial
sebastian diaz
![K.M. Imrul Kayes Sikdar](https://writelatex.s3.amazonaws.com/published_ver/7671.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=d3edbd8469a4f1bed7abc4fd3a9402cc08f442765d6206df8415e08ecd928cb9)
K.M. Imrul Kayes Sikdar
K.M. Imrul Kayes Sikdar's CV
Imrul Kayes
![Choosing Adequate Speech Presence Probability Method for Enhanced Multichannel Background Noise Reduction Algorithms](https://writelatex.s3.amazonaws.com/published_ver/6237.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e78aecc2f947665527e52d066e570490e61e4e2c26c10892f4f322f2245f557b)
Choosing Adequate Speech Presence Probability Method for Enhanced Multichannel Background Noise Reduction Algorithms
There are several voice communication systems that are used nowadays which are capable of maintain voice calls between two users in real time. Telephones are widely used all around the world in an unlimited kind of situations. All of these situations expose the microphone (or microphones) of the phones to different and unpredictable noises, as street noise, sea noise, rain noise, wind noise, unwanted voices, car motors, etc. As microphones capture all the sounds around it, including the wanted voice and the unwanted noises, it is necessary to implement digital real time filters capable of attenuate as much as possible all the surrounding noises.
It exists a large quantity of noise reduction methods that have been used in the calling algorithms of phones. Even if these methods have had, in general, a good performance, there is still a research being done in this area in order to improve the current results. Because of this, the multichannel methods were created (using multiple microphones) as well as new algorithms that pretend to have a better noise reduction than the single channel methods. Most of these methods require a speech presence probability (SPP) method to achieve the noise reduction.
The following document presents a research about different SPP methods as well as a comparison between these. This includes an explanation on how theses algorithm work, a Matlab implementation using real voice and noise recordings and objective tests of the filter.
ivan
![FSU-MATH2300-Project2](https://writelatex.s3.amazonaws.com/published_ver/6834.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=1a83712f57f23629221a3e0f8b7ddced69acd2a4712ed77f1d591d73eb78da06)
FSU-MATH2300-Project2
A second project for Calculus 1 at Fitchburg State. Explore the proofs of some of the derivative rules and derive new rules from old.
Sarah Wright
![Yash Nagre's Résumé](https://writelatex.s3.amazonaws.com/published_ver/11368.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=c37111a53f84bc87505c7453986ec20f8e0727c4c765c2e507afe42a3571df84)
Yash Nagre's Résumé
My resume. Created with the AltaCV template.
Yash Nagre
![計算機概論レポート課題1:数学問題集](https://writelatex.s3.amazonaws.com/published_ver/9806.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e17d93af4c15ed30a2c19062e04b0cb94477e8a2e9f502ee0c71124ee6d6570d)
計算機概論レポート課題1:数学問題集
高校数学~大学基礎レベルの数学の問題集(解答付き)
Simple math problem set with solution.
Tobo
![The study of shock waves in the gas (Molecular Workshop 3-3)](https://writelatex.s3.amazonaws.com/published_ver/3650.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=18f364dce2c303a8a1ffff8596c51192e9654780320b67672dc82305184a1ffa)
The study of shock waves in the gas (Molecular Workshop 3-3)
Report on laboratory practical
Egor
![Comparing Adaptivity of Ants using NEAT and rtNEAT](https://writelatex.s3.amazonaws.com/published_ver/854.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T151538Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=c6157a7a9e217e31dcf1990768d71d2829dcf7b8bd28ebb0596597355d609a56)
Comparing Adaptivity of Ants using NEAT and rtNEAT
Although individual ants have an extremely basic intelligence, and are completely incapable of surviving on their own, colonies of ants can develop remarkably sophisticated and biologically successful behavior. This paper discusses a set of experiments which attempt to simulate one of these behaviors, namely the ability of ants to place pheromones as a way of communication. These experiments involved a variety of different environments, and tested two varieties of the genetic algorithm NEAT: the standard offline version, and its online counterpart rtNEAT. Since the experimental environment did not seem to offer any benefit to continuous learning, we had expected NEAT and rtNEAT to have roughly similar learning curves. However, our results directly contradict this hypothesis, showing much more succesful learning with rtNEAT than with standard NEAT.
Mario Sanchez and Teo Gelles