Binay Kumar Pandey

Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital...

The advent of 6G has brought forth unprecedented advancements, intertwining artificial intelligence, virtual reality, and blockchain. However, with this transformative progress...

This study on Ethiopian education aims to investigate deeper into the changes that have taken place in the sector over the past 40 years and analyze the subsequent outcomes of...

The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management....

AI and machine learning affect intelligent supply chains, implementation challenges, and psychosocial factors affecting supply chain AI and ML acceptability. Behavioural...

All companies globally use supply chain management (SCM) in this complicated and ever-changing world. Deep learning in SCM is becoming prominent, needing a complete study review....

This study examines theoretical frameworks, methods, and key discoveries' practical, social, and theoretical impacts. Study envisions AI/ML SCM. Supply chain AI/ML is...

Supply chain management is essential to a company's success in today's fiercely competitive business environment, regardless of the industry. Businesses are increasingly...

The COVID-19 pandemic has imposed several challenges to mankind, among them one being biometric, for attendance of working community and the related demand and supply chain...

Technical and vocational education and training (TVET) play a pivotal role in preparing the Nigerian workforce for the demands of a rapidly evolving digital economy. In the wake...

A concept that has been shown to be valuable in one circumstance and is likely to be useful in others is known as a pattern. A pattern can be interpreted in a variety of ways...

Innovative legal and supply chain complexity solutions include machine learning in legal management and intelligent supply chain governance. Complex laws and supply chains...

Artificial intelligence and machine learning applications in image processing are examined in this chapter. It covers AI methods including supervised, unsupervised...

Image processing has become more crucial in medical applications due to its ability to collect and evaluate data from medical images. This book chapter provides an overview of...

Radio frequency identification technology (RFID) and time series forecasts are used to create a dependable IoT-based traffic system. The system regulates city traffic. The...

Block chain secures data. Blockchain imitates computerised trading markets. The 2008 cryptocurrency and transaction network Bitcoin leads blockchain technology. When buyers or...

Cloud computing uses the internet instead of discs or memory. Computing services include servers, databases, networks, and programmes. The primary benefit of cloud computing is...

One of the most valuable resources is the forest, home to many animals and plants. Forest fire agencies worldwide have studied forest fire prevention and detection. Worldwide...

Building information modeling (BIM) has changed architecture, engineering, and construction professionals' built environment conceptualization, design, building, and...

Cloud computing involves virtualization, distributed computers, networking, software, and web services. Clouds have clients, datacenters, and servers. It has fault tolerance...

Remote areas benefit from lower costs for transporting enormous amounts of data between a source node and multiple networking devices. Noise and constraints necessitated a 64...

Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples...

There is a boom in autonomous systems with rapid technological development that cannot adapt without human interaction to actual life conditions. Such programs will free people...

One of the first questions that arises when one begins to study fundamentals of industrial safety management is “Who should be responsible when a worker is injured?” Many would...

Education is a process of updating the knowledge and skills of the individual that will be useful to himself or herself and to the community. Teaching and learning are products...

This study aims to explore and explain the history of neuromarketing, techniques, examples, pros and cons of neuromarketing, major limitations, as well as its major findings and...

Population growth, urbanisation, industry, modernization, and digitalization increase residential, industrial, commercial, mining, radioactive, agricultural, hospital, and...

Autonomous systems that cannot adapt to real-world environments have proliferated due to rapid technological improvement. These programmes will free people from repetitive...

United Nations SDGs (sustainable development goals) have prompted health-care organisations in and around this world to implement health care initiatives that aim to improve...

Biofuels, such as coal and oil, have been the most suitable and sufficient substitutes for other conventional fuels in the energy sector for the last few years. For decades...

This chapter provides an analysis of the various kinds of distracting noise that can be seen in degraded complex images, such as those found in newspapers, blogs, and websites. A...

Taking into account the uses of ML in the field of vision, many practical vision systems' first processing stages include enhancing or reconstructing images. The goal of...

AI has had a substantial influence on image processing, allowing cutting-edge methods and uses. The foundations of image processing are covered in this chapter, along with...

An image plays a vital role in today's environment. An image is a visual representation of anything that can be used in the future for recollecting or memorizing that scene....

In order to find the glaucoma in an early stage with the help of optical coherence tomography (OCT) using deep learning and extracting the features of glaucoma, the authors are...

Diabetic Retinopathy (DR) affects people who have diabetes mellitus for a long period (20 years). It is one of the most common causes of preventable blindness in the world. If...

Use of artificial intelligence for image processing to aid digital forensics is a controversial topic. Some people believe that AI can be very helpful in this field, while others...

Nanomaterials reduce biodegradable pollutants before promoting standard levels. Thus, nanomaterials could efficiently and sustainably treat environmental contaminants. However...

A deep neural network is used to develop a covert communication and textual data extraction strategy based on steganography and picture compression in such work. The original...

This work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers. Steganography is a...

Protected stored data as well as transfer in this virtual environment have been a significant thing since this world wide web has been used for information exchange. The need for...

COVID-19 is likely to pose a significant threat to healthcare, especially for disadvantaged populations due to the inadequate condition of public health services with...

In this digital world, a set of information about the real-world entities is collected and stored in a common place for extraction. When the information generated has no meaning...

A potential to extract detailed textual image texture features is a key characteristic of the suggested approach, instead of using a single spatial texture feature. For the...

Breast cancer is a significant public health concern in both developed and developing countries. It is almost one in three cancers diagnosed in all women. Data mining and pattern...