Subir Gupta

• Doctor of Engineering
• HOD at Haldia Institute of Technology

This study presents a new method for predicting skin diseases using deep learning, focusing on Convolutional Neural Networks (CNNs) and transfer learning. Traditional methods often depend on clinician expertise and can be subjective. The proposed approach aims to create a more objective, automated, and affordable diagnostic tool. Pre-trained models...

This research investigates the discrepancies between planned economic targets and actual growth rates in India across various Five-Year Plans from 1951 to 2012. Despite rigorous financial planning, significant variances have been observed, prompting an examination of the underlying socioeconomic and political factors. Using a mixed-methods approach...

This research presents a comprehensive analysis of the trading patterns of gold and silver, focusing on their roles as safe-haven assets and their value retention during economic downturns. The study addresses the lack of holistic approaches in the existing literature by integrating data cleaning, descriptive statistics, trend analysis, volatility...

This research focuses on predicting the future values of gold and silver futures by employing advanced machine learning algorithms. Traditional econometric models often struggle with commodity prices’ non-linear and dynamic nature. To address this, the study evaluates the performance of four unconventional machine learning algorithms: Gaussian Proc...

The invention described focuses on predictive modeling and analysis for financial opportunities, with a specific emphasis on leveraging dynamic social. networks and cellular automata. This innovation finds direct application across various sectors within the financial industry, ranging from investment banking and asset management to risk assessment...

This chapter explores the integration of quantum computing with agile software practices to enhance supply chain optimization. Quantum computing's computational power and the flexibility of agile methodologies present a novel approach to solving complex supply chain problems, particularly in dynamic and uncertain environments. The study investigate...

This chapter explores the potential of quantum machine learning (QML) to enhance demand forecasting in supply chain management. With the increasing complexity and data volumes in modern supply chains, traditional forecasting methods often fall short. QML leverages the principles of quantum mechanics, such as superposition and entanglement, to proce...

The most prevalent and abundant fossil fuel on the planet is coal. It is a worldwide industry that contributes significantly to the world economy. Over 50 countries mine coal for economic purposes, while over 70 countries consume it. Approximately 75% of the 5,800 million tons of coal burned annually worldwide are used to produce power. By 2030, th...

Agile project management is a pivotal approach in the dynamic realm of project execution, offering flexibility, responsiveness, and a focus on value delivery. This chapter delves into the practical aspects of Agile methodologies, exploring their theoretical foundations, diverse frameworks, and real-world applications. The insights provided aim to g...

This chapter comprehensively compares the Waterfall and Agile software development models, focusing on methodologies, effectiveness, and adaptability for different projects. Using research and case studies, it details each model's unique traits, strengths, and limitations, offering insights for managers, developers, and stakeholders. The Waterfall...

An Automated Knowledge Generation ana'Decision-Making System for Dynamic Social Networks and its application and implementation in Social Management M The present invention refers to a system to provide an efficient social and dynamic management based platform, method and system that would work on the data collected from Social Websites. An analysi...

An Automated Knowledge Generation ana'Decision-Making System for Dynamic Social Networks and its application and implementation in Social Management M The present invention refers to a system to provide an efficient social and dynamic management based platform, method and system that would work on the data collected from Social Websites. An analysi...

Integrating emerging technologies in smart factories has ushered in a new manufacturing era. These technologies have transformed how data is generated, stored, and utilised, raising critical questions about intellectual property (IP) and data ownership. This study comprehensively analyses the challenges and implications associated with IP and data...

The objective of this study was to perform a panel data analysis on two significant dimensions of the Indian economy, namely the savings generated by self-help groups (SHG) and the loans extended by commercial banks to microfinance institutions. Throughout the pandemic, the research conducted by this individual failed to produce any definitive find...

This study introduces the Integrated Learning Paradigm (ILP), a novel construct designed to improve the predictive capability of the biodiversity impact assessment model. The ILP brings together Support Vector Regression (SVR), Linear Regression, and Random Forest in a single model so that each of these algorithms can be used to its fullest. The in...

Perovskite solar cells (PSCs) have been emerged as most promising third-generation solar cell technology among solar cell industry. The fabrication processes of highly efficient PSCs with/ without different interfacial layers are time consuming, costly and it required inert atmosphere. In this aspect, we have used autonomous experimentation toolkit...

Plants are good for the environment and all living things. Plants take in carbon dioxide and release oxygen, two gases necessary for human and animal survival. Plants provide food, shelter, and water purification for animals since they naturally filter out hazardous pollutants from the air and water. A plant pathologist’s education is incomplete un...

Wearable Robotic Exoskeleton for Disabled

As AI-based ALGO-TRADE technologies have advanced, firms around the globe have altered their practices. With this new technology, investors can now make their chances of success higher and depend less on luck. When there is only one remaining share of stock or product, buy-or-write is sometimes employed. The “buy-and-sell maximization study design”...

The stock market makes it easier for businesses to get money by letting people buy and sell stocks and bonds and by giving investors capital gains and dividends. It is a place where individuals’ investments and savings can be utilized, thus contributing to economic growth. Those who invest should be aware of the associated market risk. Numerous res...

Complexity is prevalent in contemporary culture. In the not-too-distant future, as Industry 5.0 takes hold, people will encounter higher difficulties in accomplishing jobs. To produce more precise, user-friendly, and resource-efficient solutions, human inventiveness and intelligent machines will astonishingly converge here. This transition envisage...

Doctors view the total number of leukocytes in a person’s blood as a crucial sign of that individual’s general health. Historically, blood cell counting was performed manually using a hemocytometer and a few more lab equipment and chemicals. The process is slow and laborious. Red blood cells (RBC), white blood cells (WBC), and platelets are the thr...

Of late, due to drastic climate change and excessive pollution, people live in such an atmosphere where they have to combat continuously several deadly diseases. To get the proper treatment of such diseases, people must rely on appropriate diagnoses. There are a lot of signs or symptoms that bear the existence of a particular condition. Generally,...

The digital podium is proving as an increasingly important area for the contemporary development of civilization. However, it additionally engenders a rudimentary conundrum. Spamming is one of the most solemn quandaries that puts state-of-the-art security to the test. Spam wires, which send offensive messages to an immensely voluminous number of re...

We may expect a substantial influence on cyber security from AI. As cyberattacks get increasingly sophisticated, so do the solutions for protecting a computer system from them. Universities and security agencies are investigating a wide range of ways to put intelligent systems in place to protect systems and to research how AI can bring solutions t...

In the redesign field, popularly known as optimization, such difficulties degenerate the exordium of smoothing out appraisals that performed well on benchmark cutoff focuses or essential setting-centered evaluations. To visually examine the commencement of techniques procured for smoothing out those conditions, scientists and experts felt a need to...

Machine learning and deep learning are widely utilized and highly effective in attack classifiers. Little research has been undertaken on detecting and protecting cross-site scripting, leaving artificial intelligence systems susceptible to adversarial assaults (XSS). It is crucial to develop a mechanism for increasing the algorithm's resilience to...

The Internet of Things (IoT) represents the start of a new age in information technology (IoT). Objects (things) such as smart TVs, telephones, and smartwatches may now connect to the Internet. New services and software improve many consumers' lives. Online lessons based on COVID-9 are also included in child education devices. Multiple device integ...

Various platforms and web apps to deliver material via the Internet are becoming more widespread. Web-based technologies accept and store sensitive information from users. Because of their Internet connectivity, these systems and the databases they link to are vulnerable to various information security vulnerabilities. The most dangerous threats ar...

According to Oxford and Cambridge dictionary, the attested meaning of monitoring is an uninterrupted observation towards a particular circumstance for a specific period and inventing some new thing in it. In a word, we can tag it as “Supervision.” Regarding automation, the aphorism of both dictionaries is a work executed using self-operating machin...

The present article demonstrates an effective approach to model the in-silico recognition of phases in steel microstructures using the machine learning and image processing technologies. It is based on a comprehensive microstructure dataset of 192 typical steel SEM images was created by in-house experimentation, covering a wide variation across typ...

In this paper, we present a computational model for recognition of steel type i.e., ferrite-pearlite and martensite-austenite grade steel by image processing of scanning electron microscopy (SEM) micrographs followed by phase identification, segmentation and quantification. For this purpose a comprehensive SEM microstructure database were produced...

The image processing of microstructure for design, measure and control of metal processing has been emerging as a new area of research for advancement towards the development of Industry 4.0 framework. However, exact steel phase segmentation is the key challenge for phase identification and quantification in microstructure employing proper image pr...

In this paper, we report an efficient segmentation and grain boundary detection process using modern image processing operators like simple linear iterative clustering and skeletonization. Accurate phase segmentation is the major requirement for any phase identification and quantification operations. The proposed image processing methods have been...

The image processing of microstructure for design, measure, and control of metal processing has been emerging as a new area of research for advancement towards the development of the Industry 4.0 framework. However, exact steel phase segmentation is the key challenge for phase identification and quantification in microstructure employing proper ima...

In accordance with the survey data of higher education department of West Bengal, the gross enrollment ratio of West Bengal in Higher education is only 26.23%. Major parts of the drop out students are showing reason of poverty even while making them understood about the effectiveness of higher education through e-learning. In this paper an approach...