Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

A Convolutional Neural Network Approach for The Diagnosis of Breast Cancer

Abstract: Most common cancer in females is found to be Breast cancer which is a widespread disease. One out of eight females worldwide are affected by this cancer only. We can detect this cancer by detecting malignancy from breast tissues. There are various types of computer-aided techniques and approaches which are used by doctors for detecting cancer. The major objective of this paper is to build a well-defined model for the recognition of breast cancer by expending various parameters. Different types of machine learning and deep learning methodologies are used for the classification of malignant and benign tissues. In this we are using a dataset that obtains 569 samples with 30 features, this dataset is majorly called the Wisconsin dataset. Many techniques are implemented on this dataset we are using deep convolutional neural network (CNN) and Machine learning methodology (KNN) for the diagnosis and training purpose and then compare the results of both the techniques. Deep convolutional NN is implemented on the google platform called the Google Colab on the other side KNN is implemented on the Anaconda Spyder platform. The best accuracy achieved from KNN is 96.49%. To improve the performance and accuracy we implemented CNN on the same dataset and then achieved 99.41% accuracy. Deep learning is extensively useful in getting the best and optimal results in other performance matrics such as precision, recall, F1-score and AVC-ROC - 98.64%,97.61 %, 98.08%, 97.61% respectively.

Hierarchical Routing Techniques for Wireless Sensor Networks: A Comprehensive Survey

Abstract: This paper describes the concept of routing in wireless sensor networks. Routing algorithm provides reliable path from source to destination. Energy efficiency is main constraint in Wireless Sensor Networks. For improving life time and energy consumption various routing algorithms have been proposed. In this paper describe the hierarchical routing techniques. Hierarchical routing includes tree based routing, cluster based routing, chain based protocol, and grid based routing. And also compare the hierarchical routing techniques.

Image Enhancement Using Local and Global Histogram Equalization Technique and Their Comparison

Abstract: This paper reviews about the different algorithms used for image enhancement. Image processing is a process of matching and overlay more than one image of any scene. This is a method of converting any image into its digital form and performs useful operations by applying some function on it. The purpose for image processing is to observe the objects, for sharpening and restore distorted image. These algorithms are improving the attribute of image and reduce the noise in the image. It has been observed that image enhancement is done before segmentation, detection of object and recognition in vision applications. There are various applications of image processing like remote sensing, tracking of moving objects, in defense field, in biomedical techniques. Current researches under image processing are like Cancer imaging, focusing on Brain imaging, different imaging technologies. This paper also provides a work for understanding that how different type of noises can remove by enhancing the image. Image enhancement basically used in Medical Images.