scholarly journals Introductory Chapter: Machine Learning in Finance-Emerging Trends and Challenges

2021 ◽  
Author(s):  
Jaydip Sen ◽  
Rajdeep Sen ◽  
Abhishek Dutta
Keyword(s):  
Machine Learning ◽  
Emerging Trends

scholarly journals On the Methods for Detecting Brain Tumor from MRI images

2020 ◽  
Vol 9 (9s) ◽  
pp. 37-44
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Brain Tumor ◽  
Medical Imaging ◽  
Tumor Detection ◽  
Gray Level ◽  
Wide Spread ◽  
Emerging Trends ◽  
Day By Day ◽  
High Diversity

Brain tumor detection from MRI images is a challenging process due to high diversity in the tumor pixels of different peoples. Automatic detection has got wide spread acclaim because the manual detection by experts is time consuming and prone to error in judgment. Due to its high mortality rate, detection of tumor automatically is a new emerging technique in bio medical imaging. Here we present a review of few methods from simple thresholding to advanced deep learning methods for segmentation of tumor from MRI data. The segmentation of tumor methods is classified to image segmentation using gray level processing, machine learning and deep learning. The results of various methods are compared to find the best methods available. As medical imaging methods have improving day by day this review will help to understand emerging trends in brain tumor detection.

Big Data Models and the Public Sector

Web Services ◽  
2019 ◽  
pp. 105-126
Author(s):  
N. Nawin Sona
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Big Data ◽  
Public Sector ◽  
Predictive Analytics ◽  
Data Types ◽  
The Public ◽  
Emerging Trends ◽  
Wide Range ◽  
Learning Data

This chapter aims to give an overview of the wide range of Big Data approaches and technologies today. The data features of Volume, Velocity, and Variety are examined against new database technologies. It explores the complexity of data types, methodologies of storage, access and computation, current and emerging trends of data analysis, and methods of extracting value from data. It aims to address the need for clarity regarding the future of RDBMS and the newer systems. And it highlights the methods in which Actionable Insights can be built into public sector domains, such as Machine Learning, Data Mining, Predictive Analytics and others.

Opinion Mining

2019 ◽  
pp. 66-82 ◽  
Author(s):  
Vijender Kumar Solanki ◽  
Nguyen Ha Huy Cuong ◽  
Zonghyu (Joan) Lu
Keyword(s):  
Machine Learning ◽  
Information Technology ◽  
Sentiment Analysis ◽  
Programming Languages ◽  
Opinion Mining ◽  
Support Vector ◽  
Emerging Trends ◽  
The One ◽  
The Mind ◽  
Technology Domain

The machine learning is the emerging research domain, from which number of emerging trends are available, among them opinion mining is the one technology attraction through which the we could get analysis of the interested domain or we can say about the review from the customer towards any product or we can say any upcoming trending information. These two are the emerging words and we can say it's the buzz word in the information technology. As you will see that its widely use by the corporate sector to uplift the business next level. Before two decade you will not read any words e.g., Opinion mining or Sentiment analysis, but in the last two decade these words have given a new life to information technology domain as well as to the business. The important question which runs in the mind is why use sentiment analysis or opinion mining. The information technology has given number of new programming languages, new innovation and within that the data mining has given this trends to the users. The chapter is covering the three major concept's which comes under the machine learning e.g., Decision tree, Bayesian network and Support vector machine. The chapter is describing the basic inputs, and how it helps in supporting stakeholders by adopting these technologies.

scholarly journals Introductory Chapter: Machine Learning and Biometrics

2018 ◽  
Author(s):  
Jucheng Yang ◽  
Yarui Chen ◽  
Chuanlei Zhang ◽  
Dong Sun Park ◽  
Sook Yoon
Keyword(s):  
Machine Learning

scholarly journals Emerging Trends in Neuroimaging of Epilepsy

2021 ◽  
Vol 21 (2) ◽  
pp. 79-82
Author(s):  
Neda Bernasconi ◽  
Irene Wang
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Brain Structure ◽  
Structure And Function ◽  
Resonance Imaging ◽  
Emerging Trends ◽  
Brain Structure And Function ◽  
And Function ◽  
Neuroimaging Techniques

Neuroimaging techniques, particularly magnetic resonance imaging, yield increasingly sophisticated markers of brain structure and function. Combined with ongoing developments in machine learning, these methods refine our abilities to detect subtle epileptogenic lesions and develop reliable prognostics.

Machine Learning and Cyber Security

2020 ◽  
pp. 1034-1042
Author(s):  
Vardan Mkrttchian ◽  
Sergey Kanarev ◽  
Leyla Ayvarovna Gamidullaeva
Keyword(s):  
Machine Learning ◽  
International Economic ◽  
Literature Review ◽  
Cyber Security ◽  
Machine Learning Technique ◽  
Theoretical Perspectives ◽  
Emerging Trends ◽  
Learning Technique ◽  
Universal Network ◽  
Social Importance

Cybersecurity has become an important subject of national, international, economic, and social importance that affects multiple nations. The literature review of known sources is forming theoretical bases of calculations on Sleptsov networks. The universal network of Sleptsov is a prototype of the Sleptsov network processor. The authors in the article research the emerging trends and theoretical perspectives of cyber security development using machine-learning technique with avatar-based management at the platform of Sleptsov net-processor and propose further prospects for development of hyper-computation.

Introduction: policy analysis in Belgium – tradition, comparative features and trends

2017 ◽  
Author(s):  
Marleen Brans ◽  
David Aubin
Keyword(s):  
Policy Analysis ◽  
Policy Making ◽  
Political Systems ◽  
Emerging Trends

This introductory chapter contextualizes and analyses the characteristics of the discipline and practice of policy analysis in Belgium. It first highlights the relatively young tradition of policy analysis in Belgium. Secondly, it identifies the characteristics of the Belgian political systems and their likely impact upon the nature of policy analysis. Thirdly, it specifies the current and emerging trends and challenges relevant for the practice of policy analysis and policy-making.

scholarly journals Emerging Trends in Machine Learning for Signal Processing

2017 ◽  
Vol 2017 ◽  
pp. 1-2 ◽  
Author(s):  
George A. Papakostas ◽  
Konstantinos I. Diamantaras ◽  
Francesco A. N. Palmieri
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Emerging Trends
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