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Chapter and Conference Paper
A Study on the Relationship Between Cloud Computing and Data Mining in Business Organizations
In order to enhance information services quality, data extraction is a method through which potentially helpful data may be extracted. Integrated with cloud computing, data mining technology enables customers ...
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Chapter and Conference Paper
Skin Lesion Analysis and Classification Techniques
Skin lesion diagnosis using computer-aided systems is a growing field of research. In recent years, researchers have been develo** computer-aided diagnosis systems. An analysis of the efficiency of computer-...
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Chapter and Conference Paper
Evaluating the Role of Robotics, Machine Learning and Artificial Intelligence in the Field of Performance Management
Although intelligent automation academic production has evolved fast (e.g., artificial intelligence, robots) we currently lack a full knowledge of the effects on organizational (companies) and individual (work...
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Chapter and Conference Paper
A Critical Analysis of Machine Learning’s Function in Changing the Social and Business Ecosystem
Machine learning is an automization based technique that learns automatically about something without specific programming of the task. It is used in a variety of fields. The capabilities of Data-driven modeli...
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Chapter
Depressive Disorder Prediction Using Machine Learning-Based Electroencephalographic Signal
Machine learning is an effective method to analyze enormous information sets precisely, particularly those with recognized designs, which have also proven to be extremely important for the determination of EEG...
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Chapter and Conference Paper
Effectiveness of Machine Learning Technology in Detecting Patterns of Certain Diseases Within Patient Electronic Healthcare Records
The research article sheds light on the effects of artificial intelligence and machine learning technologies to detect several diseases within patient electronic healthcare records. Apart from that, the usage ...
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Chapter and Conference Paper
The Internet of Things and Its Aspect for Digital Marketing During COVID-19 Pandemic
This paper is prepared to identify the influence of the Internet of things and its aspects in digital marketing during the COVID-19 pandemic. The research examines the various aspects of digital marketing befo...
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Chapter and Conference Paper
The Future Impact of Technological Developments on Digital Marketing Through Artificial Intelligence
Digital marketing includes a combination of marketing activity and implication of computer science to optimise the activity of advertisement and sales generation. In this study a comprehensive discussion is co...
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Chapter
Quality of Smart Health Service for Enhancing the Performance of Machine Learning-Based Secured Routing on MANET
The goal is to enhance the routing standards’ performance by employing a multipath scheme and the hop count-based routing parameter for the ad hoc networks for fulfilling the QoS prerequisites for various appl...
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Chapter
ConvNet-Based Deep Brain Stimulation for Attack Patterns
Symptoms of Parkinson’s disease usually start slowly and steadily decline with age. People with Parkinson’s disease may have problems walking and talking as the disease progresses. Additionally, they may disco...
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Chapter
Implementation of a ‘Useful’ Information Measure for Healthcare Decision Making
Cryptography, molecular biology, natural language processing, and statistical inference are a few fields where information theory is used. It’s also utilized in medical science. In this article, we show how pr...
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Chapter
Web-Based Augmented Reality of Smart Healthcare Education for Machine Learning-Based Object Detection in the Night Sky
Visit Astrophile to a science centre to understand the night sky and astronomical philosophies. The learning environment is limited to virtually observing the constellations, and a significant difference can b...
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Chapter and Conference Paper
Advanced Smart Gloves for Physically Disabled Persons Using LABVIEW
People with disabilities like deaf and dumb will find it challenging to communicate with ordinary people; there are various causes for these disabilities, we aim to overcome this issue. The proposed system con...
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Chapter and Conference Paper
The Role of Artificial Intelligence and Data Science Against COVID-19
Today, a massive outbreak of a deadly virus has challenged humanity in each aspect; we deemed ourselves powerful. Millions of people are at risk, and in some cases, even if the person has reported negative, it...
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Chapter and Conference Paper
Design of Automotive Accident-Avoidance System at Speed Limit Zone Using GPS
The majority of accidents are happening due to a lack of prior information about the driver. Sometimes, drivers are distracted inherently, which causes significant road accidents on the highway speed limit zon...
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Chapter and Conference Paper
Detecting Image Forgery Over Social Media Using Residual Neural Network
Social media have earned fame for consuming the news due to their quick proliferation and availability. However, they are also the main contributor in spreading fake news. Fake images spread over microblogging...
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Chapter and Conference Paper
FFV: Facial Feature Vector Image Dataset with Facial Feature Analysis and Feature Ranking
Thousands of faces can be remembered by a single individual. Faces with diverse shapes, sizes, and colors might be recalled. People are distinguished from one another by their face form and color, which makes ...
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Chapter and Conference Paper
Content-Based Image Retrieval (CBIR): A Review
This paper gives an overview of various CBIR (Content-Based Image Retrieval) Techniques. CBIR is a system that utilizes different image features, like texture, color, and shape information, to fetch different ...
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Chapter and Conference Paper
Survey on Sentiment Analysis for Mix Code Text
Sentiment analysis is difficult nowadays when we collect data from social media sites as people from every walk of life come there and write their opinion about various things. Social media is very powerful, b...
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Chapter and Conference Paper
Novel Approximation Booths Multipliers for Error Recovery of Data-Driven Using Machine Learning
The multiplier is a primary function of the circuit that is frequently used in Digital Signal Processing. Estimated circuits were investigated for better efficiency/lower power consumption but are still troubl...