Rashmi Ashtagi

Advanced diagnosis and successful treatment of melanoma depend on early detection, especially in light of the significant rise in melanoma cases in recent years. The suggested Active Contour Model (ACM) and machine learning (ML) techniques are used in this research to present a robust dermoscopic lesion image segmentation process for melanoma ident...

Introduction: Making decisions in real-time is quite challenging in complex computational systems, especially for resource-heavy applications. An increasingly higher demand for efficiency and accuracy requires completely novel ideas for optimal resource utilization and minimized execution time. Advanced parallel computing algorithms have emerged as...

Chronic kidney disease (CKD) is a prevalent medical condition that is distinguished by the progressive deterioration of renal function over time. The diagnosis, management, and treatment of this condition are exceedingly difficult due to its multifactorial etiology and extensive array of manifestations. The objective of this review paper is to prov...

In this advanced age, libraries are changing from their conventional parts and utilizing increasingly high-tech instruments to progress their administrations and operations. Blockchain is one of these potential advances. It is known for having solid security highlights and being open to everybody. This paper looks at how blockchain innovation might...

Cervical cancer constitutes a profound global health challenge, affecting a substantial number of women annually. If this cancer is not diagnosed and attended with hypervigilance, it can spread to other body parts, damage tissues, and typically deteriorate the immune system of the body. This ultimately becomes deadly and, in many cases, non-curable...

This study paper explores novel methods for early detection by integrating cutting-edge machine learning techniques in response to the growing global health issue caused by liver illnesses. By utilizing ensemble models like CatBoost, Gradient Boosting, and Random Forest, the research offers a thorough examination that goes beyond traditional diagno...

Federated learning is a machine learning technique that allows multiple devices to collaboratively train a machine learning model without having to share their raw data. This is important for privacy-sensitive applications, such as healthcare, where the data cannot be shared with a central server. This paper proposes a federated learning framework...

Classification of plant leaf diseases is an important step in protecting the world's food supply and agricultural yields. There has been encouraging progress in improving the efficiency and accuracy of plant leaf disease diagnosis via the combination of deep learning methods with artificial intelligence (AI) in recent years. This research introduce...

p class="Normal1">Medicinal plants have been found and utilized in traditional medical practices from ancient times. Many medicinal plants play a vital role in curating many life threatening diseases. Very few of the medicinal herbs are commercially cultivated. Many plant diseases are there which destroys these medicinal plants. Early detection of...

p>Melanoma is deadly kind of skin cancer as it gets metastasized soon. It is really essential to recognize melanoma and start treatment at early stage. It is also necessary to determine the stage of melanoma in order to treat melanoma patients. Non-invasive technique is required to detect the stage of melanoma. Proposed system presents novel techni...

The widespread chronic ailment known as diabetes affects millions of people worldwide. Early detection and an understanding of the underlying reasons can significantly enhance the outcomes for patients and public health initiatives. We propose a non-invasive self-care system that uses IoT and machine learning (ML) to check blood sugar and other cri...

The widespread chronic ailment known as diabetes affects millions of people worldwide. Early detection and an understanding of the underlying reasons can significantly enhance the outcomes for patients and public health initiatives. We propose a non-invasive self-care system that uses IoT and machine learning (ML) to check blood sugar and other cri...

Progressive organ-level disorders in the human body are often correlated with diseases in other body parts. For instance, liver diseases can be linked with heart issues, while cancers can be linked with brain diseases (or psychological conditions). Defining such correlations is a complex task, and existing deep learning models that perform this tas...

Melanoma is skin cancer with greatest incidence of morbidity and mortality. According to Global Cancer Statistics, there were 287,723 new instances of melanoma and 60,712 deaths from the disease worldwide in 2018. Patient survival statistics for those who have melanoma may be improved by getting the disease diagnosed early and following through wit...

In the recent era, biometrics is one of the most used authentication systems. Generally, biometric systems are based on imaging technology, which works on scanned images. This system processes the image and compares it with the database and decides authenticity of user. Authentication and faster response are the key objectives of all biometric syst...

Melanoma mortality rate is very high and is one kind of skin cancer. So, it is essential to identify skin cancer at an initial phase hence we can minimize the mortality rate, but sometimes recognition of the skin lesion type is very difficult due to its similarity leads to wrong treatment. Hence it is required to classify the skin lesion accurately...

Pattern classification is of significant demand in the field of machine learning. Its applications range from a simple problem of speech recognition to a complex and important problem of medical diagnosis. Fuzzy based algorithms have been one of the most important methods which have contributed in solving the pattern classification problem. A custo...

Cloud storage is one of the service of cloud comput- ing. Cloud storage services are commercially popular because to their advantages. It allows data owners to move data from their local computing systems to the cloud. It offers high quality and on-demand data storage services to users. A cloud is essentially a large-scale distributed system; each...

In the present world, skin malignant growth is the most widely recognized reason for death among people. Skin malignancy is unusual development of skin cells regularly creates on body presented to the daylight, yet can happen anyplace on the body. A large portion of the skin malignant growths are reparable at beginning periods. An early and quick r...

Skin disease is found in different sorts, for example, basal, squamous cell carcinoma and melanoma among which melanoma is one that is very difficult to predict. Finding melanoma at an early stage is crucial. Melanomas come in many forms and may display none of the typical warning signs. Early detection can vastly increase chances for the cure. Com...

Melanoma is a dangerous skin cancer and spreads very fast. Hence, it is the deadliest skin cancer and causes most deaths. Classification of cancer stages is a very tedious task and very important when a patient is diagnosed. Diagnosis of cancer at the surgical treatment time mainly depends on the stage of cancer or tumor thickness. In this paper, t...

Melanoma is a dangerous skin cancer and spreads very fast. Hence, it is the deadliest skin cancer and causes most deaths. Classification of cancer stages is a very tedious task and very important when a patient is diagnosed. Diagnosis of cancer at the surgical treatment time mainly depends on the stage of cancer or tumor thickness. In this paper, t...

Cloud storage is a one of the services of cloud computing. The data owners move their data from local systems to the cloud servers provided by cloud service providers. By this, users get high quality and on-demand data storage services and user is free from the maintenance load. Beside all these benefits, there are several matters about cloud stora...