Ranjita Rout

Group of Institutions, GUNUPUR | GIET · Department of Electronics and Communication Engineering

Machine learning algorithms have the potential to revolutionize the way healthcare providers care for pregnant women. By using various input variables such as maternal characteristics, medical history, ultrasound measurements, and biomarkers, machine learning algorithms can develop personalized risk assessments to guide clinical decision-making and...

Skin cancer occurs due to the abnormal development of the skin cells. It is extremely important to identify this change in skin cells as soon as possible otherwise it is harmful to human life. Among all, malignant melanoma or melanoma is a more dangerous skin cancer. The automatic and accurate identification of melanoma is highly essential as it he...

Melanoma is one of the dangerous skin cancer worldwide. Manual detection generally takes more time and difficult to obtain accurate results due to various factors such as change in shape, size and color. In the recent years, convolutional neural network (CNN) plays a vital role for automatic detection of melanoma. In the proposed model, a hybrid de...

In the current period, because of the far reaching accessibility of the Internet, it is incredibly simple for individuals to convey and share interactive media substance with one another. Nonetheless, simultaneously, secure exchange of individual and protected material has turned into a basic issue. Thusly, secure method for information move are th...

Computer vision-based disease diagnosis is the recent trend for skin melanoma detection. This results in early detection resulting in reduced fatalities due to skin melanoma. A number of both supervised and unsupervised computer vision algorithms have been developed. However, a single approach may not apply for all types of dermoscopic images. The...

Early identification of melanocytic skin lesions increases the survival rate for skin cancer patients. Automated melanocytic skin lesion extraction from dermoscopic images using the computer vision approach is a challenging task as the lesions present in the image can be of different colors, there may be a variation of contrast near the lesion boun...

Cognitive radio is a promising technology for efficient spectrum utilization. It explores dynamic spectrum access features while satisfying interference constraints. In this work, a joint power and spectrum allocation algorithm is proposed to maximize the cognitive network throughput while satisfying interference constraints of both primary and sec...

Skin melanoma is a skin disease that affects nearly 40% of people globally. Manual detection of the area is a time-consuming process and requires expert knowledge. The application of computer vision techniques can simplify this. In this article, a novel unsupervised transition region based approach for skin lesion segmentation for melanoma detectio...

Agriculture and its productivity has a good impact of the economic growth of every country. A path to good agricultural productivity depends on the disease susceptibility of the plants as well as early disease detection technologies for better production. Manual diagnosis of plant diseases needs expert knowledge along with awareness. So, automatic...

Identification and early detection of skin melanoma is a crucial step towards fatalities caused due to skin melanoma. Computer vision techniques play an important role for detection and diagnosis of the aforesaid disease. In this article, a new unsupervised skin melanoma extraction along with analysis approach is presented. The proposed method init...

Skin melanoma is a skin disease that affects nearly 40% of people globally. Manual detection of the area is a time-consuming process and requires expert knowledge. The application of computer vision techniques can simplify this. In this article, a novel unsupervised transition region based approach for skin lesion segmentation for melanoma detectio...

This letter studies the interference between the even and the odd subchannels in the interleaved multiplexing optical fast orthogonal frequency-division multiplexing system, which is caused by the non-orthogonal demultiplexing transform at the receiver. To eliminate this interference, frequency and timing off-sets are introduced deliberately at the...

This paper discusses the design of a virtual instrument for detection and analysis of power quality disturbances in Power System using Wavelet Packet Transform with the help of LabVIEW® algorithm. The virtual instrument designed can operate in different working modes depending on the type of power quality disturbances to be detected and analyzed. D...