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Research paper thumbnail of Survey of Different Techniques to Detect Alzheimer’s Disease

Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects a... more Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects are a high death rate and a high cost of discovery, treatment, and patient care. Even though there’s no remedy for dementia, early location helps give required help, appropriate medication, and, to the degree attainable, keeping up mental, social, and physical exercises. Early identification of Alzheimer’s disease (AD) is critical for enhancing patients’ and their family’s quality of life. This paper shows the different works related to de

Research paper thumbnail of Enhancement of RVM Using FPGA

Journal of Advanced Research in Dynamical and Control Systems, Nov 20, 2019

Research paper thumbnail of Survey of Different Techniques to Detect Alzheimer’s Disease

Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects a... more Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects are a high death rate and a high cost of discovery, treatment, and patient care. Even though there’s no remedy for dementia, early location helps give required help, appropriate medication, and, to the degree attainable, keeping up mental, social, and physical exercises. Early identification of Alzheimer’s disease (AD) is critical for enhancing patients’ and their family’s quality of life. This paper shows the different works related to de

Research paper thumbnail of Performance Study Of Machine Learning Algorithms Used For Alzheimer’s Disease Detection

Journal of Pharmaceutical Negative Results

Dementia is widely recognized. With age comes a dramatic surge in dementia cases. It is an irreve... more Dementia is widely recognized. With age comes a dramatic surge in dementia cases. It is an irreversible brain disorder that impairs thinking, memory, and judgment, causing a person’s cognitive ability to decline. Around 50 million individuals worldwide have dementia, and 10 million new cases are identified yearly. Therefore, solving this problem has become urgently necessary, and dementia must be diagnosed early for more advanced treatments to develop. Cognitive tests are used to assess a person’s mental capacity to diagnose this condition early. In the present study, we tried to detect dementia in its early stages using machine learning approaches. Data collected for the analysis comprised gender, age, education, MMSE (Mini‐Mental State Examination), CDR (Clinical Dementia Rating), ASF (Atlas scaling factor), handedness, and hospital visits for patients classified as demented or non-demented. We applied machine learning approaches such as KNN, DT (Decision Tree), and RF (Random For...

Research paper thumbnail of Detection and Labeling of Vertebrae using Deep Learning

International Journal of Recent Technology and Engineering (IJRTE), 2020

Inspection, Classification and localization of artificial vertebrae from random CT images is diff... more Inspection, Classification and localization of artificial vertebrae from random CT images is difficult. Normally vertebrates have a similar morphological appearance. Owing to anatomy and hence the subjective field of view of CT scans, the presence of any anchor vertebrae or parametric methods for defining the looks and form can hardly be believed. They suggest a robust and effective method for recognizing and localizing vertebrae that can automatically learn to use both the short range and long-range conceptual information in a controlled manner. Combine a fully convolutionary neural network with an instance memory that preserves information on already segmented vertebrae. This network analyzes image patches iteratively, using the instance memory to scan for and segment the not yet segmented primary vertebra. Every vertebra is measured as wholly or partly at an equal period. This study uses an over dimensional sample of 865 disc-levels from 1115 patients.

Research paper thumbnail of Prediction of Alzheimer’s Disease Using Machine Learning Algorithm

Algorithms for Intelligent Systems, 2022

Research paper thumbnail of MP3 Music File Protection Using Digital Rights Management and Symmetric Ciphering

This paper presents an encryption technique for the Digital Rights Managements which are applied ... more This paper presents an encryption technique for the Digital Rights Managements which are applied to Mp3music file. Encryption algorithms are used to provide security to the multimedia data. Here, Advanced Encryption Standard (AES) encryption is applied on the audio data with the use of MATLAB tool. The specific work that was conducted in the protection of the MP3 music files and on the specific mechanisms of the DRM platform. Experimental results demonstrate that AES encryption technique provides high security against cryptographies attacks. Here, we have applied the AES encryption technique to different audio files and its utility in the real time systems.

Research paper thumbnail of Enhancement of RVM Using FPGA

Journal of Advanced Research in Dynamical and Control Systems

Research paper thumbnail of Survey of Different Techniques to Detect Alzheimer’s Disease

Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects a... more Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects are a high death rate and a high cost of discovery, treatment, and patient care. Even though there’s no remedy for dementia, early location helps give required help, appropriate medication, and, to the degree attainable, keeping up mental, social, and physical exercises. Early identification of Alzheimer’s disease (AD) is critical for enhancing patients’ and their family’s quality of life. This paper shows the different works related to de

Research paper thumbnail of Enhancement of RVM Using FPGA

Journal of Advanced Research in Dynamical and Control Systems, Nov 20, 2019

Research paper thumbnail of Survey of Different Techniques to Detect Alzheimer’s Disease

Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects a... more Dementia is a condition marked by the deterioration of certain cognitive faculties. The effects are a high death rate and a high cost of discovery, treatment, and patient care. Even though there’s no remedy for dementia, early location helps give required help, appropriate medication, and, to the degree attainable, keeping up mental, social, and physical exercises. Early identification of Alzheimer’s disease (AD) is critical for enhancing patients’ and their family’s quality of life. This paper shows the different works related to de

Research paper thumbnail of Performance Study Of Machine Learning Algorithms Used For Alzheimer’s Disease Detection

Journal of Pharmaceutical Negative Results

Dementia is widely recognized. With age comes a dramatic surge in dementia cases. It is an irreve... more Dementia is widely recognized. With age comes a dramatic surge in dementia cases. It is an irreversible brain disorder that impairs thinking, memory, and judgment, causing a person’s cognitive ability to decline. Around 50 million individuals worldwide have dementia, and 10 million new cases are identified yearly. Therefore, solving this problem has become urgently necessary, and dementia must be diagnosed early for more advanced treatments to develop. Cognitive tests are used to assess a person’s mental capacity to diagnose this condition early. In the present study, we tried to detect dementia in its early stages using machine learning approaches. Data collected for the analysis comprised gender, age, education, MMSE (Mini‐Mental State Examination), CDR (Clinical Dementia Rating), ASF (Atlas scaling factor), handedness, and hospital visits for patients classified as demented or non-demented. We applied machine learning approaches such as KNN, DT (Decision Tree), and RF (Random For...

Research paper thumbnail of Detection and Labeling of Vertebrae using Deep Learning

International Journal of Recent Technology and Engineering (IJRTE), 2020

Inspection, Classification and localization of artificial vertebrae from random CT images is diff... more Inspection, Classification and localization of artificial vertebrae from random CT images is difficult. Normally vertebrates have a similar morphological appearance. Owing to anatomy and hence the subjective field of view of CT scans, the presence of any anchor vertebrae or parametric methods for defining the looks and form can hardly be believed. They suggest a robust and effective method for recognizing and localizing vertebrae that can automatically learn to use both the short range and long-range conceptual information in a controlled manner. Combine a fully convolutionary neural network with an instance memory that preserves information on already segmented vertebrae. This network analyzes image patches iteratively, using the instance memory to scan for and segment the not yet segmented primary vertebra. Every vertebra is measured as wholly or partly at an equal period. This study uses an over dimensional sample of 865 disc-levels from 1115 patients.

Research paper thumbnail of Prediction of Alzheimer’s Disease Using Machine Learning Algorithm

Algorithms for Intelligent Systems, 2022

Research paper thumbnail of MP3 Music File Protection Using Digital Rights Management and Symmetric Ciphering

This paper presents an encryption technique for the Digital Rights Managements which are applied ... more This paper presents an encryption technique for the Digital Rights Managements which are applied to Mp3music file. Encryption algorithms are used to provide security to the multimedia data. Here, Advanced Encryption Standard (AES) encryption is applied on the audio data with the use of MATLAB tool. The specific work that was conducted in the protection of the MP3 music files and on the specific mechanisms of the DRM platform. Experimental results demonstrate that AES encryption technique provides high security against cryptographies attacks. Here, we have applied the AES encryption technique to different audio files and its utility in the real time systems.

Research paper thumbnail of Enhancement of RVM Using FPGA

Journal of Advanced Research in Dynamical and Control Systems