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Chapter and Conference Paper
Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning
One of the distinguishing features of traffic signs is the wide variation in their visual appearance in actual environments. Road signs are affected, for example, by variations in lighting, shifting weather pa...
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Chapter and Conference Paper
Empirical Analysis on Fake News Detection Using Feature Extraction and Feature Optimization Techniques
With the rapid growth of technology and social media, fake news has become a major issue today. Detecting and preventing fake news is becoming increasingly difficult and is a significant problem that requires ...
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Chapter and Conference Paper
Empirical Analysis of Depression Detection Using Deep Learning on Twitter
People spend a major portion of their time from their daily routine over social media platforms. Many researchers have previously attempted to examine the mental status of the users through their thoughts and ...
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Chapter and Conference Paper
Cataract Detection on Ocular Fundus Images Using Machine Learning
Cataract is a very common condition affecting the elderly. The onset of cataract is slow and is therefore not detected until it starts to obstruct the vision of the affected patient. One way to detect cataract...
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Article
Resistance to the BCL-XL degrader DT2216 in T-cell acute lymphoblastic leukemia is rare and correlates with decreased BCL-XL proteolysis
The BCL-2 family of anti-apoptotic proteins, BCL-2, BCL-XL and MCL-1, can mediate survival of some types of cancer. DT2216 is a PROteolysis-TArgeting Chimera (PROTAC) that degrades BCL-XL specifically and is i...
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Article
Scalable intelligent data-driven decision making for cognitive cities
Advancement of Web 2.0 has completely revolutionized the way people communicate and exchange information among them using social media such as Twitter etc. People are using smart technology based solutions (in...
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Chapter and Conference Paper
Empirical Analysis of Machine Learning and Deep Learning Techniques for COVID-19 Detection Using Chest X-rays
Due to the Coronavirus (COVID-19) cases growing rapidly, the effective screening of infected patients is becoming a necessity. One such way is through chest radiography. With the high stakes of false negatives...
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Chapter and Conference Paper
Lung Cancer Detection Using Ensemble Learning
From time to time, lung cancer has appeared in the category of nearly the most lethal maladies since humankind existed. It is even among the most incessant fatalities and major reasons of mortality among all c...
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Chapter and Conference Paper
Comparative Analysis of Deep Learning Techniques for Facemask Detection
Pandemic caused owing to widespread of corona-virus has changed our lives upside down. Covering the face area particularly nose and mouth is the prime need of the hour
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Chapter and Conference Paper
Rumour Stance Classification on Textual Social Media Content Using Machine Learning
Rumour stance classification involves the analysis of how the users react to the rumours linked with the news on social media platforms. It involves the identification of the attitude of the users towards the ...
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Chapter and Conference Paper
Empirical Analysis of Diabetes Prediction Using Machine Learning Techniques
In the world, there are many deadliest diseases, and diabetes is one of them. About 422 million people worldwide are suffering from this dangerous disease, and every year 1.6 million deaths are because of it. ...
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Chapter and Conference Paper
A Comparative Study of Machine Learning and Deep Learning Techniques on X-ray Images for Pneumonia
Pneumonia is a serious disease causing a lot of fatalities both in adults and children worldwide. Detection of pneumonia is usually done by examining Chest X-rays and blood tests in presence of highly trained ...
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Chapter and Conference Paper
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Skin Cancer Detection
Skin cancer is a typical type of disease, and early recognition builds the endurance rate. Skin cancer is a perilous and far and wide sickness. The endurance rate is under 14% whenever analyzed in later stages...
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Chapter and Conference Paper
Detection of Offensive Comments for Textual Data Using Machine Learning
Social Media is an essential part of our lives today that provides us to connect with others all around the world. Social Media facilitates the sharing and spreading of information, thoughts, and ideas. Howeve...
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Chapter and Conference Paper
Empirical Analysis of Humor Detection Using Deep Learning and Machine Learning on Kaggle Corpus
Humor is a multifaceted personality trait that makes us stand out as individuals and social groups. Humor is an important part of interpersonal communication. Due to its subjective nature, it remains difficult...
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Chapter and Conference Paper
Particle Swarm Optimized Ensemble Learning for Enhanced Predictive Sentiment Accuracy of Tweets
The mounting global interest of users in social media portals has reinforced research in knowledge discovery domains to mine useful information from the publicly available user-generated big data. Uncertainty ...
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Article
Swarm intelligence based optimal feature selection for enhanced predictive sentiment accuracy on twitter
A lot of uncertainty is generally associated with the micro-blog content, primarily due to the presence of noisy, heterogeneous, structured or unstructured data which may be high-dimensional, ambiguous, vague ...
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Article
Software reliability prediction using machine learning techniques
Software Reliability is indispensable part of software quality and is one amongst the most inevitable aspect for evaluating quality of a software product. Software industry endures various challenges in develo...
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Chapter and Conference Paper
Image Sentiment Analysis Using Convolutional Neural Network
Visual media is one of the most powerful channel for expressing emotions and sentiments. Social media users are gradually using multimedia like images, videos etc. for expressing their opinions, views and expe...
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Chapter and Conference Paper
Software Reliability Prediction Using Machine Learning Techniques
Software reliability is an indispensable part of software quality. Software industry endures various challenges in develo** highly reliable software. Application of machine learning (ML) techniques for softw...
