Extractive text summarization involves the retention of only the most important sentences in a document. In the past, multiple approaches involving both statistical and machine learning-based methods have been used for this task. The crucial step in extractive text summarization is getting the right ranking order of sentences in the document in terms of their importance. Singular value decomposition or SVD algorithm based on latent semantic analysis focuses on recognizing the sections in the doc...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/04.01.A008

Nowadays due to their busy schedule people leave their parents alone at home and stay abroad. Due to this there is rapid need for care taker one who looks after old aged people like their near and dear ones efficiently. So, this is need to design and implement efficient robot one who take care as human. Efficient user-friendly robot for aged and physically disabled people is designed and developed that is capable to take care of senior citizens in terms of their health monitoring systems. Commun...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/04.01.A007

The introduction of the World Wide Web and the quick abandonment of the social media policy cleared the method for the rapid dispersal of information that has never been seen during human archive. Due to the way social media manifesto are currently operating, users are producing and participating in more information than ever before, some of which is false and has no relevance to reality. The numerous lives of individualities now hang in the balance as a result of social media. important has for...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/04.01.A006

Automated Gait event identification of Foot Strike (FS) and Foot Off (FO) in pathological gait data, can be time saving in comparison to conventional manual annotations done currently. Identification of FS and FO allows breaking walking trials into gait cycles and hence aids in comparison of gait parameters like joint angles, forces and moments across gait cycles. Automated Gait Event Detection is also useful in development of wearable sensor devices and robotic systems that assist gait. Researc...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:doi.org/10.36647/CIML/04.01.A005

The healthcare sector is one of the largest focus areas in the world today. Individuals are becoming increasingly susceptible to lifestyle diseases. Hospitals and clinic are the most widely used place by the patients to consult doctor and get treated. People consider it as the most reliable means to check their health status. But in this way of approach for treatment the patients need to wait for a long time to consult the doctor which makes them more sick . In order to avoid such situation we c...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/04.01.A004

Face anti-spoofing is the task of preventing false facial verification by using a photo, video, mask or a different substitute for an authorized person's face. It has become an increasingly important and critical security feature for authentication systems, due to rampant and easily launchable presentation attacks. However, most previous approaches still suffer from diverse types of spoo？ng attacks, which are hardly covered by the limited number of training datasets, and thus they often show the...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/04.01.A003

Large medical datasets are available in various data repositories and are used to identify diseases. Parkinson's disease is regarded as one of the most lethal and progressive nervous system diseases affecting movement. It is the second most common cause of disability in the brain and it Reduces life expectancy and has no cure. Nearly 90% of affected people with this disease have speech disorders. In real-world applications, data is generated using a variety of Machine Learning techniques. Machin...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/04.01.A001

Satellite images are useful in providing a real time dynamic picture of the earth and its environment. The large assemblage of remote sensing satellites orbiting the earth provide an extensive and periodic coverage of the planet through the capture of live images round the clock, in turn enabling numerous uses for the benefit of mankind. In the field of satellite image processing, image segmentation is one of the vital steps for extracting and gathering huge amount of information from the satell...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/03.02.A008

Illegal online financial transactions are now more sophisticated and global in scope, which costs both parties—customers and businesses. For fraud prevention and detection in the online setting, many different strategies have been proposed. While all of these techniques aim to detect and stop fraudulent online transactions, they differ in terms of their features, advantages, and disadvantages. This study assesses the current fraud detection research in this area to detect the employed algorithms...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/03.02.A007

Machine learning is known as a significant pattern of AI that gives an effective allowance to the software applications to become precise at forecasting outcomes without explicitly programmed in doing that. In addition, machine learning is important as this gives service sectors a suitable view of trends in “business operational patterns” and consumer behaviors. Service sectors are mainly known as the healthcare sectors, tourism sectors, and transportation sectors. In several developed countries...

Artificial Intelligence  Big Data Search and Mining  Machine Learning 

Doi:10.36647/CIML/03.02.A006