Dwijendra Nath Dwivedi

Adverse Drug Reaction (ADR) detection and study are important for pharmacovigilance, which is the safety of medicines. Underreporting can get in the way of traditional ADR...

This chapter explores the transformative impact of artificial intelligence (AI) and ChatGPT techniques in facilitating real-time data-driven decision-making within government...

This research conducts a detailed study on the timing of tourism arrivals in different countries using an advanced multi-country time series method. Our study attempts to reveal...

Sophisticated recommendation systems are crucial in the dynamic digital content consumption environment to improve user engagement and content discoverability. This work provides...

There are multiple changes with supply chain management and logistics industry post covid. Keeping the right level of inventory can be challenging, as it involves balancing the...

AI has become an indispensable tool for businesses seeking to enhance the employee experience. Businesses that implement it can increase employee satisfaction, enhance customer...

Computer vision technology can be used for instant car damage recognition by analyzing images of damaged vehicles to detect and identify the location and severity of any damages....

In an era dominated by digital communication, textual data offers a treasure of insights into human behaviour and emotions. In today's digitally-driven world, the vast...

Predictive analytics is a crucial tool in changing teaching and learning practices in the ever-changing field of educational technology. This study examines the dynamic function...

The emergence of artificial intelligence (AI) and data enquiry priciples uncovered immese technological possibilities, but it has also presented a range of ethical concerns that...

In the rapidly evolving landscape of artificial intelligence (AI), the ethical ramifications of its implementation have become a pressing concern. This chapter delves into the...

In this chapter, the authors explore the synergistic integration of advanced machine learning techniques with bioinformatics to revolutionize drug discovery. This...

This chapter first discusses what good governance means and why it is so important for society. It is the public governance that lacks a centralized AI framework. Several key...

In the digital age, call centers remain a pivotal touchpoint between businesses and their clientele. They offer direct human interaction that shapes customer experience. One of...

Artificial Intelligence (AI) emerges as a potent ally in augmenting environmental monitoring and fortifying conservation efforts. Now we have seen escalating environmental...

Travel and tourism represent a multifaceted sector, with the customer's journey from departure to return encompassing myriad interactions. A deeper comprehension of these...

This chapter presents an innovative approach to cybersecurity by applying anomaly detection techniques to network and system data. The study uses a comprehensive dataset from...

In this study, a wide range of geoFigureical locations are investigated to investigate the complex relationships that exist between agricultural productivity and important...

In the rapidly evolving financial sector, banks face the dual challenge of enhancing customer experience and optimizing marketing strategies. This chapter explores the...

The financial services industry is on the verge of a revolutionary period, propelled by the emergence of hyperautomation. This study explores the significant influence of...

Higher education institutions face a problem with student turnover that has many aspects and affects both students and universities in different ways. Using predictive analytics...

This chapter provides a thorough examination of equity market indexes in different countries, documenting their trajectory from highest points to lowest points over a long...

Using a large dataset that includes students' grades, demographic information, and other educational variables from three American high schools, this research work...

In order to improve obstetric risk categorization, this study employs a thorough machine learning approach that makes use of cardiotocogram data. The goal is to find patterns and...

Traditionally, computer programs have used artificial intelligence to emulate human creativity. In the 1990s, however, a new approach developed called computational creativity....

In the agriculture industry, pest infestation is a significant challenge that is complicated by the nonlinear relationship with environmental factors. Given the effectiveness of...

The global financial crisis of 2008 exposed many vulnerabilities of the financial systems and how these system failures took a massive toll on governments, institutions, and...

Many businesses around the World are adopting AI with the hope of increasing their top-line and bottom-line numbers. The COVID19 pandemic has further accelerated the journey....