Sushma Jaiswal

• Professor (Assistant) at Guru Ghasidas Vishwavidyalaya

This paper delves into the multifaceted realm of sustainable farming, offering a holistic view of its definition, significance, and the manifold benefits it brings to the agricultural landscape. Sustainable farming represents a paradigm shift in agriculture, emphasizing environmental responsibility, societal well-being, and economic viability. The...

With increasing digital content over the internet it is very important to secure the digital contents in such a way that the identity and integrity of data is preserved in some way and with lots of advancements in these fields, it is very important to protect digital contents such as healthcare data and electronic records. It is also significant to...

Deep learning has improved image captioning. Transformer, a neural network architecture built for natural language processing, excels at image captioning and other computer vision applications. This paper reviews Transformer-based image captioning methods in detail. Convolutional neural networks (CNNs) extracted image features and RNNs or LSTM netw...

Automatic caption generation from images has emerged as a fundamental and challenging problem at the intersection of computer vision and natural language processing. This paper presents a comprehensive survey of the techniques, methodologies, and advancements in the field of automatic caption generation from images. The primary objective is to prov...

The utilization of Convolutional Neural Networks (CNNs) and Bidirectional Long Short-Term Memory (BLSTM) networks in image captioning has significantly enhanced the quality and relevance of generated captions. In this approach, a CNN serves as the encoder to extract meaningful features from the input image, capturing its visual information. These f...

With increasing digital content over the internet it is very important to secure the digital contents in such a way that the identity and integrity of data is preserved in some way. The healthcare data is also a digital content which is important and this paper presents a methodology for copyright protection and authorship. In order to achieve a ba...

This article examines the advantages of employing many cloud platforms for data storage, alongside providing a comprehensive description of cloud computing. The significance of this matter is indisputable, considering the substantial duration required for the consolidation of such a vast amount of data into a singular cloud platform. When faced wit...

The present invention relates to the field of Economics. The main aim of this invention is to show International corporate management with AI managerial protocol for rules based behavioural Economics.

The rapid growth of technology has brought a security threat to digital content over the internet, and therefore, a good watermarking scheme is much needed in the present scenario for image authentication and copyright protection. In this paper, blind color image watermarking using deep neural network (DNN) and statistical features is proposed for...

31.07.2023Abstract: The rapid development of the underlying infrastructure of the internet has permitted the widespreadacceptance of a number of emerging technologies that have far-reaching ramifications for current society. Asa result of the expansion of the Internet of Things, several new networking protocols and upgrades have beencreated and imp...

There is a growing need for intelligent devices with sensors that take data from their surroundings, evaluate it, and transfer it to remote locations where experts may further analyze it in other areas. Device security and privacy concerns have arisen due to the increased use of IoT gadgets and tight deadlines for device development. Commercial and...

Digital security is one of the important aspects of today’s era. Digital content is being grown every day on the internet; therefore, it is essential to guard the copyright of digital content using various techniques. Watermarking has emerged as an important field of study aiming at securing digital content and copyright protection. None of the wat...

This study provides a new technique for watermarking grayscale images that combines lifting wavelet transform-based image decomposition with random subspace K nearest neighbor (RS-KNN) and random subspace linear discriminate analysis (RS-LDA) ensemble methods. The training set and testing set were created using this approach, which incorporates 18...

In this paper, blind image watermarking is proposed for grey-scale images using LWT and Arnold maps. A comprehensive analysis of robustness and imperceptibility for different sub-band is analyzed, and a robust sub-band against different attacks is determined for designing a system robust against intentional attacks or combined attacks. The importan...

Digital data is growing enormously as the year passes and therefore there is a need of mechanism to protect the digital contents. Image watermarking is one of the important tools for the human to provide copyright protection and authorship. For achieving the ideal balance between imperceptibility and robustness, a robust blind color image watermark...

The present disclosure relates, in general, to diagnosing cancer, and more particularly, to a method of detecting cancerous cells in asymptotic patients using monoclonal antibody drugs. It is understood that proto-oncogene mutations in somatic cells play a key role in the development of human malignancies. These mutations can result in the formatio...

In this paper an gray scale image watermarking is performed using LWT and Arnold Map. In this watermarking is implemented with out using any machine learning methods

Diabetes is a hereditary disorder that interferes with human life at all ages. It is challenging for cells to absorb glucose from the bloodstream when an individual has diabetes. The two main subtypes of diabetes are type 1 diabetes and type 2 diabetes. Type 1 diabetes develops when the pancreas cannot make enough insulin, whereas type 2 diabetes s...

The chronic nature of diabetes makes it the most complex and lethal health issue globally. This creates difficulties in managing this illness in the day-to-day life of a large population of affected people. Diabetes is also known as diabetes mellitus (DM). This research aims to reduce diabetic patients’ pain and make their lives easier and more com...

Generative Adversarial Network (GAN) is a revolution in modern artificial systems. Deep learning-based Generative adversarial networks generate realistic synthetic tabular data. Synthetic data are used to enhance the size of a relatively small training dataset while ensuring the confidentiality of the original data. In this context, we implemented...

This paper presents a novel blind robust color image watermarking scheme using integer wavelet transform, bagging, and random subspace-KNN (RS-KNN) methods. Principal component analysis (PCA) reduces the number of features so that the training time can be reduced. The extraction of a watermark is considered here as a binary (0 or 1) classification...

Dr.K.G.S. Venkatesan, Dr.V. Vijayaraghavan, Dr.Sushma Jaiswal in respect of the application of such design to: Walking stick for visually impaired with alarm unit International Design Classification: Version: 14-2023 Class: 03 TRAVEL GOODS, CASES, PARASOLS AND PERSONAL BELONGINGS, NOT ELSEWHERE SPECIFIED Subclass: 03 UMBRELLAS, PARASOLS, SUNSHADES...

With aiming to design a novel image watermarking technique, this paper presents a novel method of image watermarking using lifting wavelet transform, discrete wavelet transform, and one-dimensional linear discriminate analysis. In this blind watermarking technique, statistical features of the watermarked image have been incorporated for preparing t...

A blind color image watermarking using deep artificial neural network (DANN) in YCbCr color model has been proposed aiming at achieving fair trade-off between imperceptibility and robustness. In the proposed watermarking a random generated watermark of length 512 bit is used for the training purpose and original watermark of length 512 bits is used...

The internet of things (IoT) is focused in offering new technologies which is changing the business environment by showing the potential in different sectors like retail, transportation, healthcare etc. Through IoT, the managers can gather and process data and information in an effective manner, also they can use them to automate in order to enhanc...

The desire of practitioners and scholars has risen over the past few years in Data Mining and artificial intelligence technology. Nevertheless, few researchers have empirically examined the value and influence of Data Mining and Artificial Intelligence on the supply chain management process. In order to address this vacuum, we have broadened the id...

The fifth-generation mobile communication, commonly known as 5G network is now available in developed countries and many developing nations are also focusing to implement them so as to boost trade and commerce domestically and internationally. 5G is set to revolutionise technology in various devices covering smartphones, internet connectivity etc....

The cloud computing system that is based on the Internet of Things is faced with new challenges on a regular basis. This is due to the sophisticated structure of system clusters as well as the vast quantity of data that is handled by the systems. The ability to obtain resources in an elastic manner is seen as the most compelling rationale for the i...

The Internet and other types of modern communication technologies have made the process of exchanging information nowadays extraordinarily rapid and fluid. In this day and age, when both mobile phones and computers are prevalent, it is fairly typical for people to use several communication channels, such as mobile phones and computers, in order to...

The goal of this work is to help the visually impaired by making it possible for them to recognize hidden images on signs, which will hopefully lead to fewer accidents. Although traffic signs are essential for maintaining order, they can also increase the risk of accidents if they are obstructed. Individuals who are visually impaired, such as the b...

A single-phase Photovoltaic (PV) system that is based on an Maximum Power Point Tracking (MPPT) and use the perturb and observe algorithm to track the extreme power point. As a consequence of interactions between a variety of semiconductors and changing loads, the input source suffers from power quality concerns such as harmonic distortion, voltage...

The community health area comprises an enormous measure of data, and specific methodologies are utilized to deal with that data. One of the most common approaches is handling as well as processing. This technique forecasts the likely consequences of cardiovascular disease. The result of this strategy is to foresee the former heart disease. The work...

Due to the sudden pandemic outbreak across the globe, global physicians have witnessed the necessity of implementing Deep Learning Applications to save a life more quickly and efficiently. Researchers in the research study have pointed out the implementation of deep learning applications from an effective angle. Researchers have outlined a series o...

IoT solutions enable customers to automate, analyze, and integrate their systems to a greater extent. They broaden the breadth and accuracy of these fields. The Internet of Things includes sensors, networks, and robotics, and it employs both old and new technology. The Internet of Things makes use of software breakthroughs, lower hardware costs, an...

Give insights on fundamentals of neural networks and deep learning for the beginners.

Abstract— The proposed work presents a novel ensemble model based blind image watermarking using a random-subspace-one dimensional linear discriminate machine learning model for providing digital security to images. Security of digital content is one of the important concerns in today’s era. In this work, the extraction of a binary watermark is con...

The healthcare industry is developing rapidly, and innovations are now considered as the significant game-changer. IoT (Internet of Things) is shaping the healthcare industry in a new form with promising advances in testing, monitoring processes. Monitoring the health issues of the patients, organizing the treatment initiatives, and empowering the...

A project manager (PM) plays a vital role in the organisation. Project managers are the hidden heroes of the companies. Project managers have numerous jobs and responsibilities in the firm. PM monitors all of these variables so that the team can emphasise the precise tasks at the right time and acclimate as needed. In addition, project managers sup...

The study sheds light on the process of direct marketing and its impacts on the performance of business companies. In the present time, the technological implementation plays most effective role to develop business management. Apart from that, the concept of artificial intelligence and business management in the business organization is also analyz...

A CNN (Convolutional Neural Network) is an artificial neural network used to evaluate visual pictures. It is used for visual image processing and is categorised as a deep neural network in deep learning. So, using real-time image processing, an AI autonomous driving model was built using a road crossing picture as an impediment. Based on the CNN mo...

Kitchen Technology has advanced considerably in the recent few years. Disclosed is the system of a robot capable of cooking dishes in kitchen. The complex movements of expert chefs are recorded. Using supervised machine learning techniques, the robotic humanoid movements for preparing a particular dish is learnt. Using multiple instance inputs of e...

Since the last decade, most medical image segmentation applications have relied on fully convolutional neural networks (FCNNs) with contracting and expanding pathways. As part of FCNNs, encoders must learn both global and local features and contextual representations in semantic output prediction to be used by decoders. Because the convolutional la...

Research study shows that nearly 30% of the heart attacks occur in patient without any symptoms. 15 Different patterns in medical data could efficiently be identified and classified using Artificial 16 Intelligence Techniques. Research shows that an implant could detect three proteins whose levels are 17 subject to rise after the occurrence of h...

In the modern era, Machine learning and Artificial intelligence remain the most remarkable IT application, a technology that has seen unprecedented progress in recent decades. AI and machine learning are all closely linked with using a computer to simulate intelligent behaviour with little human interaction. It has been noticed that many large orga...

Recent days have seen a steep rise in the occurrence of forest fires in various parts of the world. It is 4 known from the research literature that in 2018, California encountered one of the deadliest and 5 destructive forest fires destroying nearly 18000 structures and nearly 85 people have been killed during 6 the incident. Early detection of...

Particularly, the present invention is related to Mobile User Trajectory Prediction A system with Extreme Machine Learning Algorithm of the broader field of Wireless Communications in Computer Science Engineering. More particularly, the present invention relates to Mobile User Trajectory Prediction System with Extreme Machine Learning Algorithm, in...

The Sensor Devices, Smart Devices, Actuators, Wearable Health Devices, and the entire internet connected devices are the Internet of Things (IoT) Devices connected through an internet in an intelligent manner. Due to the development of the technology every day, an IoT device increases than the Human on the earth. The Sensors in the IoT network are...

This study discusses artificial intelligence and data mining on performance management. During Covid -19 the whole world has suffered health issues and the pressure of the health organization increased rapidly. In this segment, the artificial intelligence and data mining process play an important role to overcome the problems. For this reason, to i...

Emotional expressivity has always been a simple job for people, but computer programming is much harder to accomplish. Image emotions may be recognised by recent developments in computer vision and machine learning. In this article, we present a new method to detect face emotion. Use neural networks convolutionary (FERC). The FERC is based on a CNN...

Machine learning is a subtype of artificial intelligence in which computers use algorithms to learn from data and discover patterns, a capacity that businesses may exploit in various ways to improve customer service. Machine learning (ML) is improving nearly every function and process automation by enabling operational optimisation. As a result, it...

Industry 4.0 is a revolutionizing concept which has a more significant implication to numerous industries of various sectors worldwide. Industry 4.0 acts as a technical catalyst in accelerated growth through systematic adaptation and new-generation cutting-edge engineering tools. IoT, Blockchain, Artificial Intelligence, Augmented Reality, 3D print...

Cancer is one of the world's most critical health issues. Many in the past decade More accurately, diagnostic tests and methodologies have been enhanced. Tests are categorised into imaging tests, endoscopic procedures Includes testing for biopsy and cytology. These diagnostic tests yield huge numbers. volumes of data that must be evaluated and diff...

In general the task of data management in the healthcare sector is a gargantuan duty. There are millions of patients and the data need to be stored carefully for the utilization in the future for general and public concern. In order to cope up with the situation the healthcare industry tries to merge their system with cloud computing for better imp...

The adverse changes caused by the pandemic COVID-19 have had an unprecedented effect on businesses worldwide and have had a significant impact on human resource management. On the other hand, HRM had to cope with the layoffs and staff reductions brought on by the pandemic lockdown. Organizations are currently dealing with an extraordinary crisis th...

The present invention discloses a vehicle tire control system at curved roads using intelligent interfaces and support vector machines. The method and 5 system includes, but not limited to, a plurality of sensors to sense the road vicinity and irregular bands of the driving path; a processing unit to receive its input from the sensors and guide the...

Technology has evolved over time and changed our way of purchasing goods, our way of life, our way of communicating. Almost everything we use has been innovated. One of these technologies is an intelligent grid. The smart power grid is evident in new digital communications and state-of-the-art control technologies. This paper illustrates the use of...

There is an enormous in number of vehicles in last few years. So, it becomes important to make effective use of technology to enable inconvenience free parking at public and/or private places. In traditional placing systems, drivers face difficulty in finding available placing slots. These systems ignore the fact of placing the vehicles on roads, t...

The suitable assessment of therapeutic data assists early diagnosis of illness, tolerant considerations, and network administrations by providing enormous progress in biomedical and healthcare communities. Predictability is reduced if the type of medical knowledge is insufficient. The different fields emerge at that time, one of the kind characteri...

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Su...

Introduction The expansion of an actual diabetes judgement structure by the fascinating improvement of computational intellect is observed as a chief objective currently. Numerous tactics based on the artificial network and machine-learning procedures have been established and verified alongside diabetes datasets, which remained typically associate...

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Su...

Serverless Computing has become more common by providing lower costs, better elasticity and enhanced usability. Taken as a consequence that resource restrained infrastructure requires efficient low-latent calculations, it also becomes a common execution model for edge computing. However, the cloud mitigation of hyper scale in the cold start server...

Human behavior is transforming over time globally, and technology is also unlocking new ways to create value in this competitive world. Data is considered as the lifeblood of each sector, whether it is the health sector or the manufacturing. Artificial intelligence (AI) has been flushing with the increased use of it, of which machine learning is th...

In computer vision, object detection is a very important, exciting and mind-blowing study. Object detection work in numerous fields such as observing security, independently/autonomous driving and etc. Deep-learning based object detection techniques have developed at a very fast pace and have attracted the attention of many researchers. The main fo...