Smart Street light is a computerized methodology that mechanizes the road path. The aim of Smart ... more Smart Street light is a computerized methodology that mechanizes the road path. The aim of Smart Street light is decreasing force utilization when are vehicles are not there. The Smart road light will gleam with high power when there are vehicles are moving and the power will stay diminish. With this progression of innovation, things become less difficult and it becomes simple for all people on the planet today. Robotization is a method of controlling human work in the creation of products.
Salud, Ciencia y Tecnología - Serie de Conferencias, Mar 7, 2024
Diabetic foot ulcers (DFU) and infections are the most common complications of diabetic foot dise... more Diabetic foot ulcers (DFU) and infections are the most common complications of diabetic foot disease. Mortality and financial burdens for both patients and society on the whole are caused by the prevalence of complications. Peripheral neuropathy, peripheral arterial disease, and immune response dysfunction are just a few of the main contributing factors that must be understood in order to effectively treat the condition. In order to treat diabetic foot disease, you must first get a comprehensive physical examination and a detailed history of your condition. Diabetic neuropathy and peripheral vascular disease, as well as any evidence of diabetic foot ulcers or infection, should be examined during this procedure. Patients with diabetes mellitus were studied to see if there was a link between cognitive impairment and the condition of their feet and whether or not they followed their doctor's recommendations for glycemic control. Using a random sample of diabetes patients, researchers conducted a prospective study to see how many people had the condition. The Mini-Mental State Valuation, the Trail Making Judgments, and the Michigan Screening Instrument were used to assess cognitive abilities. In the one-month follow-up, glycated hemoglobin (HB1Ac >7 %) was linked to the MMSE and medication adherence, but no link was seen between cognitive function and neuropathy. According to the results of a ROC curve investigation, HB1Ac and the MNSI score both significantly (p< 0,05) mitigate towards eventual adherence to medicine for foot problems. For the purpose of determining if DFU was associated with cognitive impairment, the Chi square valuation was used in the statistical examination. As a determinant of MMSE and MoCA scores, the researchers used linear regression to come to their conclusion. Diabetic foot issues should be managed with good blood sugar control and less acute neuropathy, and this does not seem to be linked to cognitive dysfunction. More study is required in order to personalize treatments for diseases of the central and peripheral nervous systems appropriately. Cognitive dysfunction should be taken into account by doctors and podiatrists while treating diabetic foot problems.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022
Persuasion of the topic is aimed at predicting the stability of future markets stocks. The moveme... more Persuasion of the topic is aimed at predicting the stability of future markets stocks. The movement of future market evolution has been studied by many researchers. Data fluctuates in stocks, so it becomes a source of efficiency. The purpose of this article is to propose a machine-learning-based model for predicting the stock price Index value from comparing supervise classification machine learning algorithms by predicting stock price increases or stable states. Moreover, the aim of this study is to compare and discuss the performance of various machine learning algorithms based on the data from the transport traffic department. For this project, logistic regression, random forest, decision trees, and naive bayes theorem were used to calculate stock price predictions. An evaluation of the proposed machine learning algorithm technique has been made with regard to identifying the confusion matrix, categorizing data based on priority and comparing it with the best levels of precision, recall and the F1 score.
2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020
Alzheimer is generally known to be a problem with brain such as thinking, memory, and thinking. M... more Alzheimer is generally known to be a problem with brain such as thinking, memory, and thinking. Many researchers have implemented various classification algorithms before, which have an average accuracy of 69%. In this paper, the algorithms which is implemented shows the accuracy more than the existing work. Pre-processing is done in finding out the null values and duplicate records of the patients visiting for assessment. Here application of different classification algorithms such as SVC, Random Forest Classifier, Logistic Regression, Neighbor Classifier and Decision Tree Classifier for predicting the presence of Alzheimer in the patients the proposed work the number of visits count of the patients are considered as an important factor. Each visit of the patients is taken into considerations calculating the maximum number of visits of each individual patient. The Performance measures are calculated for each classification algorithms applied in the prediction of the existence of the disease. The work of the proposed application can be considered effectively for diagnosing and determining the severity of Alzheimer Disease. Based on the performance measures each accuracy is being identified. Among all the Classification algorithms implemented for predicting Logistic regression shows high accuracy of 73%.
Journal of Computational and Theoretical Nanoscience
As of late, skin diseases are expanded in people. Skin illnesses are brought about by microscopic... more As of late, skin diseases are expanded in people. Skin illnesses are brought about by microscopic organisms or because of contaminations. A portion of the skin illnesses resemble ring worm, yeast disease, sensitivities and so on are increments and spread over skin step by step. So this sort of maladies ought to be distinguished in its previous stage to abstain from spreading. It tends to be distinguished utilizing a few variables like clinical parameters which are considered for recognizing the infection. The conceivable skin sicknesses in various ages are dermatitis in age 0–5 years, moles influences in 6–11 years age, and skin inflammation vulgaris in 12–16 years age. Dermatomyositis is a sort of skin illness that influences youngsters at age of 5–15 and grown-up at 40–60 age. Right now, objective is to give a device to help experts and buyers in finding and picking sickness. To accomplish this objective, we build up a methodology that permits a client to inquiry for disease that ...
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)
In this Global era, Technology plays an important part in our lives, considering our Lifestyle, H... more In this Global era, Technology plays an important part in our lives, considering our Lifestyle, Healthcare and maintaining resources and assets. In the field of HealthCare, technology has been growing each day in order to counter different diseases and their symptoms emerging in the present world. One such disease is Parkinson&#39;s Disease. Parkinson&#39;s Disease is a brain neurological disorder. It causes tremors in the body and hands, and also stiffness in the body. At this moment, there is no proper cure or treatment available. Only when the condition is detected early, or at its onset, is treatment possible. These will not only lower the cost of the sickness, but they may also save lives. As a result, a project called &quot;Parkinson&#39;s Disease Detection Using Machine Learning Technologies&quot; was launched in try to diagnose the disease at an early stage. Parkinson&#39;s disease is a neurological disease that affects the brain&#39;s dopamine-producing neurons and progresses over time. As a result, various machine learning techniques and Python libraries are employed in order to develop a model capable of reliably detecting the presence of disease in one&#39;s body. The current models rely on image or audio analysis to diagnose disease, encouraging the development of a new model that uses both.
Cloud computing is broadly received gratitude to the high business spryness; it assurances to its... more Cloud computing is broadly received gratitude to the high business spryness; it assurances to its shoppers. Cloud administrations arrangement in the commercial center is an essential undertaking for both cloud customer and cloud supplier principally if the cloud buyer asks explicit properties for its applications. In this manner, this undertaking is designated to a third part which is the cloud intermediary. The proposed framework a cloud asset dealer is suggested that will administer the task of suppliers’ assets to purchaser progressively. The proposed representative uses different prerequisites and imperatives determined by the shopper in the necessity depiction format as contribution, to figure amassed necessities, utilizing an accumulation calculation. Further, the administration planning calculation is characterized to discover a streamlined match between the accumulated necessities with the suppliers contributions. From that point, this calculation is executed regularly, in view of a procedure for dynamic planning to profit customers by virtue of presentation of new supplier or some great contributions. Results demonstrate that the arrangement gave by agent ends up being a success win circumstance for the customer concerning cost just as execution. We propose a monetarily roused pay way to deal with increment the granularity and utility of saved calculation and capacity administrations. The result is a profoundly virtualization of cloud asset intermediary. It comprises of a guardian asset administration commercial center and a shopper configurable virtual machine for asset sharing. The framework bolsters progressively settled virtualization with powerfully customizable asset limits for fine-grained auxiliary, worldly, and vertical–spatial versatility.
Smart Street light is a computerized methodology that mechanizes the road path. The aim of Smart ... more Smart Street light is a computerized methodology that mechanizes the road path. The aim of Smart Street light is decreasing force utilization when are vehicles are not there. The Smart road light will gleam with high power when there are vehicles are moving and the power will stay diminish. With this progression of innovation, things become less difficult and it becomes simple for all people on the planet today. Robotization is a method of controlling human work in the creation of products.
Salud, Ciencia y Tecnología - Serie de Conferencias, Mar 7, 2024
Diabetic foot ulcers (DFU) and infections are the most common complications of diabetic foot dise... more Diabetic foot ulcers (DFU) and infections are the most common complications of diabetic foot disease. Mortality and financial burdens for both patients and society on the whole are caused by the prevalence of complications. Peripheral neuropathy, peripheral arterial disease, and immune response dysfunction are just a few of the main contributing factors that must be understood in order to effectively treat the condition. In order to treat diabetic foot disease, you must first get a comprehensive physical examination and a detailed history of your condition. Diabetic neuropathy and peripheral vascular disease, as well as any evidence of diabetic foot ulcers or infection, should be examined during this procedure. Patients with diabetes mellitus were studied to see if there was a link between cognitive impairment and the condition of their feet and whether or not they followed their doctor's recommendations for glycemic control. Using a random sample of diabetes patients, researchers conducted a prospective study to see how many people had the condition. The Mini-Mental State Valuation, the Trail Making Judgments, and the Michigan Screening Instrument were used to assess cognitive abilities. In the one-month follow-up, glycated hemoglobin (HB1Ac >7 %) was linked to the MMSE and medication adherence, but no link was seen between cognitive function and neuropathy. According to the results of a ROC curve investigation, HB1Ac and the MNSI score both significantly (p< 0,05) mitigate towards eventual adherence to medicine for foot problems. For the purpose of determining if DFU was associated with cognitive impairment, the Chi square valuation was used in the statistical examination. As a determinant of MMSE and MoCA scores, the researchers used linear regression to come to their conclusion. Diabetic foot issues should be managed with good blood sugar control and less acute neuropathy, and this does not seem to be linked to cognitive dysfunction. More study is required in order to personalize treatments for diseases of the central and peripheral nervous systems appropriately. Cognitive dysfunction should be taken into account by doctors and podiatrists while treating diabetic foot problems.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022
Persuasion of the topic is aimed at predicting the stability of future markets stocks. The moveme... more Persuasion of the topic is aimed at predicting the stability of future markets stocks. The movement of future market evolution has been studied by many researchers. Data fluctuates in stocks, so it becomes a source of efficiency. The purpose of this article is to propose a machine-learning-based model for predicting the stock price Index value from comparing supervise classification machine learning algorithms by predicting stock price increases or stable states. Moreover, the aim of this study is to compare and discuss the performance of various machine learning algorithms based on the data from the transport traffic department. For this project, logistic regression, random forest, decision trees, and naive bayes theorem were used to calculate stock price predictions. An evaluation of the proposed machine learning algorithm technique has been made with regard to identifying the confusion matrix, categorizing data based on priority and comparing it with the best levels of precision, recall and the F1 score.
2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020
Alzheimer is generally known to be a problem with brain such as thinking, memory, and thinking. M... more Alzheimer is generally known to be a problem with brain such as thinking, memory, and thinking. Many researchers have implemented various classification algorithms before, which have an average accuracy of 69%. In this paper, the algorithms which is implemented shows the accuracy more than the existing work. Pre-processing is done in finding out the null values and duplicate records of the patients visiting for assessment. Here application of different classification algorithms such as SVC, Random Forest Classifier, Logistic Regression, Neighbor Classifier and Decision Tree Classifier for predicting the presence of Alzheimer in the patients the proposed work the number of visits count of the patients are considered as an important factor. Each visit of the patients is taken into considerations calculating the maximum number of visits of each individual patient. The Performance measures are calculated for each classification algorithms applied in the prediction of the existence of the disease. The work of the proposed application can be considered effectively for diagnosing and determining the severity of Alzheimer Disease. Based on the performance measures each accuracy is being identified. Among all the Classification algorithms implemented for predicting Logistic regression shows high accuracy of 73%.
Journal of Computational and Theoretical Nanoscience
As of late, skin diseases are expanded in people. Skin illnesses are brought about by microscopic... more As of late, skin diseases are expanded in people. Skin illnesses are brought about by microscopic organisms or because of contaminations. A portion of the skin illnesses resemble ring worm, yeast disease, sensitivities and so on are increments and spread over skin step by step. So this sort of maladies ought to be distinguished in its previous stage to abstain from spreading. It tends to be distinguished utilizing a few variables like clinical parameters which are considered for recognizing the infection. The conceivable skin sicknesses in various ages are dermatitis in age 0–5 years, moles influences in 6–11 years age, and skin inflammation vulgaris in 12–16 years age. Dermatomyositis is a sort of skin illness that influences youngsters at age of 5–15 and grown-up at 40–60 age. Right now, objective is to give a device to help experts and buyers in finding and picking sickness. To accomplish this objective, we build up a methodology that permits a client to inquiry for disease that ...
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)
In this Global era, Technology plays an important part in our lives, considering our Lifestyle, H... more In this Global era, Technology plays an important part in our lives, considering our Lifestyle, Healthcare and maintaining resources and assets. In the field of HealthCare, technology has been growing each day in order to counter different diseases and their symptoms emerging in the present world. One such disease is Parkinson&#39;s Disease. Parkinson&#39;s Disease is a brain neurological disorder. It causes tremors in the body and hands, and also stiffness in the body. At this moment, there is no proper cure or treatment available. Only when the condition is detected early, or at its onset, is treatment possible. These will not only lower the cost of the sickness, but they may also save lives. As a result, a project called &quot;Parkinson&#39;s Disease Detection Using Machine Learning Technologies&quot; was launched in try to diagnose the disease at an early stage. Parkinson&#39;s disease is a neurological disease that affects the brain&#39;s dopamine-producing neurons and progresses over time. As a result, various machine learning techniques and Python libraries are employed in order to develop a model capable of reliably detecting the presence of disease in one&#39;s body. The current models rely on image or audio analysis to diagnose disease, encouraging the development of a new model that uses both.
Cloud computing is broadly received gratitude to the high business spryness; it assurances to its... more Cloud computing is broadly received gratitude to the high business spryness; it assurances to its shoppers. Cloud administrations arrangement in the commercial center is an essential undertaking for both cloud customer and cloud supplier principally if the cloud buyer asks explicit properties for its applications. In this manner, this undertaking is designated to a third part which is the cloud intermediary. The proposed framework a cloud asset dealer is suggested that will administer the task of suppliers’ assets to purchaser progressively. The proposed representative uses different prerequisites and imperatives determined by the shopper in the necessity depiction format as contribution, to figure amassed necessities, utilizing an accumulation calculation. Further, the administration planning calculation is characterized to discover a streamlined match between the accumulated necessities with the suppliers contributions. From that point, this calculation is executed regularly, in view of a procedure for dynamic planning to profit customers by virtue of presentation of new supplier or some great contributions. Results demonstrate that the arrangement gave by agent ends up being a success win circumstance for the customer concerning cost just as execution. We propose a monetarily roused pay way to deal with increment the granularity and utility of saved calculation and capacity administrations. The result is a profoundly virtualization of cloud asset intermediary. It comprises of a guardian asset administration commercial center and a shopper configurable virtual machine for asset sharing. The framework bolsters progressively settled virtualization with powerfully customizable asset limits for fine-grained auxiliary, worldly, and vertical–spatial versatility.
Uploads
Papers by M.S. ROOBINI