Titlebook: Soft Computing and Signal Processing; Proceedings of 4th I V. Sivakumar Reddy,V. Kamakshi Prasad,K.T.V. Reddy Conference proceedings 2022 T

哑巴

,Management of Digital Evidence for Cybercrime Investigation—A Review,em, the evidence is vulnerable to tampering, hence using a chain of custody is beneficial. In this paper, we have analyzed and compared various proposed systems over the past years and identified their pros and cons. This study would be beneficial in future to propose a better system for evidence management.

和平主义者

Data Preprocessing and Finding Optimal Value of , for KNN Model,fication and the number of neighbors considered (.). Data preprocessing is considered to be an important step in data mining to improve the quality of the data. Preprocessing involves data cleaning by removing duplicates and noise, data normalization, feature selection, etc. Hence, in this paper, pr

HARP

Prediction of Cardiac Diseases Using Machine Learning Algorithms, Many machine learning are already existing in the medical field. Machine learning algorithms can be used to predict coronary illness or heart strokes. In this paper, various machine learning algorithms are applied on the dataset to predict the heart strokes or coronary illness. Dataset used is Clev

卜闻

A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News,ed with the development of technology, with millions of bots spreading false news on several social media platforms. This has slowly become an issue that needs to be battled, calling for a software system that relies on linguistic, context-based, user-profile-based, and social features to detect and

补助

Lipoprotein

Lung Disease Detection and Classification from Chest X-Ray Images Using Adaptive Segmentation and Diagnosis (CAD) tools. The emergence of deep learning brings automation across the different domains to address the concerns related to manual techniques. The chest X-ray image remains one of the effective tools for lung disease detection such as pneumonia. This paper presents a framework for pneumon

Gleason-score

A Quantitative Analysis for Breast Cancer Prediction Using Artificial Neural Network and Support Veanalyze the data, detect, and predict the disease with accurate result. It is important to achieve better performance and classify the disease using different methodologies as database is large. Hence, the review of different state-of-the-art techniques using machine learning and deep learning algor

蚀刻

Heart Disease Prediction Using Deep Learning Algorithm,isen to become the most dangerous disease not only in India but throughout the world. Heart disease may refer to several conditions that affect your heart. Given the number of variables in your body that can possibly contribute to heart disease, it is one of the most difficult diseases to foresee. D

唤起

Tracking Misleading News of COVID-19 Within Social Media,ic struck and governments announced lockdowns. As a consequence, dealing with the fake news about COVID-19 posed a significant challenge for the public. So, the World Health Organization (WHO) has asked that its formally approved information and reports be portrayed as top results in any COVID-19-re

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