Zobrazeno 1 - 10 of 48 pro vyhledávání: '"M. Satya Sai Ram"'
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Akademický článek
Optimization of cooperative secondary users in cognitive radio networks
Autor: Sudhamani Chilakala, M. Satya Sai Ram
Publikováno v: Engineering Science and Technology, an International Journal, Vol 21, Iss 5, Pp 815-821 (2018)
In this paper, we identified the optimal number of secondary users in a cooperative spectrum sensing by maximizing the energy efficiency. We obtain the mathematical expressions and simulation results for the optimal number of secondary users using OR
Externí odkaz: https://doaj.org/article/cb5fb15a30da45cab145bb870dd503b6
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3
Speaker Recognition Based on Mutated Monarch Butterfly Optimization Configured Artificial Neural Network
Autor: Namburi, Dhana Lakshmi, M, Satya Sai Ram
Publikováno v: International journal of electrical and computer engineering systems
Volume 13
Issue 9
Speaker recognition is the process of extracting speaker-specific details from voice waves to validate the features asserted by system users; in other words, it allows voice-controlled access to a range of services. The research initiates with extrac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::041e7ea92c8f647782f8674c892d8521
https://doi.org/10.32985/ijeces.13.9.5
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6
Gray Matter Segmentation of Brain MRI Using Hybrid Enhanced Independent Component Analysis in Noisy and Noise Free Environment
Autor: M. Satya Sai Ram, Shaik Basheera
Publikováno v: Journal of Biomimetics, Biomaterials and Biomedical Engineering. 47:75-103
Medical segmentation is the primary task performed to diagnosis the abnormalities in the human body. The brain is the complex organ and anatomical segmentation of brain tissues is a challenging task. In this paper, we used Enhanced Independent compon
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0015636218d3d0b2cb0f760295d4c35c
https://doi.org/10.4028/www.scientific.net/jbbbe.47.75
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7
Alzheimer’s Disease Classification using Leung-Malik Filtered Bank Features and Weak Classifier
Autor: SHAIK BASHEERA, Dr. M Satya Sai Ram
Publikováno v: International Journal of Recent Technology and Engineering (IJRTE). 8:1956-1961
We propose a frame work to classify Brain MRI images in to Alzheimer’s Disease (AD), Cognitive Normal (CN) and Mild Cognitive impairments (MCI). We use 114No’s of T2 weighted MRI Volumes. We extracted relative texture features from Leung-Malik Fi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a7c7317399e9062a15fcc15781b9ea9
https://doi.org/10.35940/ijrte.c4484.098319
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8
Power Saving Scheduling For Iot Based Garbage Monitoring System
Autor: Dr. M Satya Sai Ram
Publikováno v: International Journal of Innovative Technology and Exploring Engineering. 8:1448-1454
Now a days to protect our self from the environment pollution is very important because the environment was polluted by the different things in different ways. One of the common biggest challenges is garbage which was produced by the human things neg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f39cf614e7cd7c978641466b8759e950
https://doi.org/10.35940/ijitee.a1014.0881019
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9
Analysis of Memory-Based Real Fast Fourier Transform Architectures for Low-Area Applications
Autor: Rajasekhar Turaka, M. Satya Sai Ram
Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811562280
The Fast Fourier Transform (FFT)− processor can be described as the most important Numerical Algorithm of our lifetime. In this paper, we have presented different Memory-based Real Fast Fourier Transform (RFFT) Architectures for low-area applicatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0afbc7c7ed4b33d8789db168f06bb8a8
https://doi.org/10.1007/978-981-15-6229-7_3
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10
Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonance imaging with clinical valuation
Autor: Shaik Basheera, M. Satya Sai Ram
Publikováno v: Alzheimer's & Dementia : Translational Research & Clinical Interventions
In recent times, accurate and early diagnosis of Alzheimer's disease (AD) plays a vital role in patient care and further treatment. Predicting AD from mild cognitive impairment (MCI) and cognitive normal (CN) has become popular. Neuroimaging and comp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e8fc42977e153f2edb6a7384359d870
https://doi.org/10.1016/j.trci.2019.10.001
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