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107 Result(s)
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Parikshit N. Mahalle
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Chapter
Cognitive Computing and Augmented Intelligence
This chapter explores the intricate workings of human cognition to bridge the gap between machine and human intelligence. Human cognition includes complex phenomena such as perception, reasoning, learning and ...
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Chapter
Machine Thinking: New Paradigm Shift
Machine thinking refers to the ability of machines to simulate human cognitive processes, including perception, reasoning, decision-making, and problem-solving. The concept of machine thinking has been the sub...
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Chapter
Business Cases
AI is changing the way we live, work, and play. In IoT, AI-powered analytics and predictive models extract insights from billions of data streams, streamlining operations, and improving security. In healthcare...
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Chapter
Natural and Artificial Intelligence: Overview
AI has been a phenomenal revolution over the last two decades, and the notion of AI has completely changed to data mining. The main fuel for each AI application is data and how quality data we provide decides ...
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Chapter
Conclusion
Machine thinking enables machines and AI systems to process information, reason, and make decisions like human thinking. It involves the use of algorithms and computational models to simulate cognitive process...
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Chapter
Rethinking Machine Learning and Deep Learning
Machine learning, deep learning, and large language algorithms are the key building blocks of modern AI. Each has its own unique strengths and advantages in the field. Machine learning focuses on pattern detec...
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Chapter
Cognitive Computing
This chapter covers role of the Internet of Behaviour (IoB) with cognitive computing in a transformative era in understanding human behaviour. Leveraging customer journey maps, personas, and cognitive/mind map...
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Book
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Chapter
Data-Centric AI in Healthcare
The predominant paradigm for AI development over the last few decades has been a model- or software-centric approach, in which building a machine learning system requires writing code to implement algorithms, ...
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Chapter and Conference Paper
Word Sense Disambiguation: Adaptive Word Embedding with Adaptive-Lexical Resource
Word sense disambiguation (WSD) is a subdomain of natural language processing (NLP). WSD mainly deals with identifying the correct sense of ambiguous words. The discussed disambiguation model is tested for hom...
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Chapter
Predictive Maintenance
Predictive maintenance is one of the important applications of predictive analytics and becoming a popular tool for preventive mechanisms.
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Chapter and Conference Paper
Automated GUI Testing for Enhancing User Experience (UX): A Survey of the State of the Art
Recent developments in the area of Artificial Intelligence (AI) have broadened opportunities for users to interact with various technologies. In this context, many enterprises have been shifting their prioriti...
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Chapter and Conference Paper
IoT Cloud Convergence Use Cases: Opportunities, Challenges—Comprehensive Survey
In the upcoming year, the growth of IoT will tremendously increase. The factors like limited storage, low communication capability, less data storage, and limited computational power are associated with IoT de...
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Chapter
Introduction
Artificial Intelligence (AI) is a multidisciplinary field that aims to create intelligent systems which are able to perform tasks that typically need human intelligence. These systems rely on a variety of buil...
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Chapter and Conference Paper
Face Mask Isolation Canister Design for Healthcare Sector Towards Preventive Approach
In recent times we have seen the importance of wearing a facemask to protect ourselves from various bacteria and viruses. And just like wearing a mask to protect ourselves, it is equally important to store and...
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Chapter
Advanced Mathematical Model to Measure the Severity of Any Pandemics
Mathematical models are a must to better understand data and its possible consequences. For COVID-19 outbreak, it helps to predict, and therefore, policies and guidelines can be designed accordingly. In this s...
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Chapter
Data-Centric Principles for AI Engineering
AI has become an interdisciplinary field and has applications in all verticals across day-to-day routines.
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Chapter
Data-Centric AI in Mechanical Engineering
Data-centric AI approach focuses on techniques to gather data from multiple sources, its management, and its utilization. This approach understands the meaning of high-quality data. The high-quality data, well...
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Chapter and Conference Paper
A Comprehensive Review of Deep Learning Techniques for Brain Tumor Prediction
Brain tumors are masses or growths of aberrant brain cells. There are numerous types of brain tumors. Some brain tumors are noncancerous (benign), while others are malignant (malignant). Brain cancers can orig...
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Chapter
Introduction to Predictive Analytics
Data has always been an important part of any organization. It is necessary to study every facet of data, whether it is generated by giant corporations or by a single person, in order to get something from it.
