Anurag Sinha

• Masters of Computer Application
• Student at Amity University Jharkhand

Background Handwritten digit recognition is a fundamental task in computer vision, and convolutional neural networks (CNNs) are widely used for this purpose due to their ability to automatically extract relevant features. However, the role of hyperparameter tuning in enhancing CNN performance for this task remains underexplored. Methods This study...

Wireless connections with high capacity, security, and affordability are becoming increasingly crucial for the growth of interactive multimedia and broadband services. A promising approach to meet this need is the use of radio frequency (RF) and optical fiber technology to distribute millimeter-wave signals. This article provides a summary of curre...

Breast cancer is the most common cancer in women globally, imposing a significant burden on global public health due to high death rates. Data from the World Health Organization show an alarming annual incidence of nearly 2.3 million new cases, drawing the attention of patients, healthcare professionals, and governments alike. Through the examinati...

The main objective of this research is to create and improve three different object identification techniques for identifying surface flaws and categorising dimensions in steel that has been fabricated. RetinaNet, YOLOv3, and Faster R-CNN are the selected modalities in the experiment. The main goal is to evaluate these modalities' ability to detect...

The integration of Artificial Intelligence (AI) into the field of Ayurvedic Science has gained considerable attention in recent years. This survey aims to comprehensively introduce the area of research by exploring the diverse applications of AI in Ayurvedic practices and the potential improvements it offers over conventional methods. With the incr...

The integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in healthcare has revolutionized patient care by enabling advanced monitoring, personalized treatments, and real-time data analysis. However, this technological advancement also brings to the forefront significant ethical and cybersecurity challenges. This pap...

This paper provides a comprehensive review of the ethical considerations and technological advancements associated with artificial intelligence (AI) in both healthcare and engineering domains. It examines the role of blockchain technology in enhancing data privacy and cybersecurity, and explores the impact of AI on knowledge management and innovati...

The rapid growth of Wi‐Fi networking and intelligent systems, fueled by the emergence of the Internet of Things (IoT), has enabled significant transformative advancements. The imminent arrival of sixth‐generation (6G) wireless networks offers more opportunities as fifth‐generation (5G) wireless networks improve IoT connections. This study explores...

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm (DJS). Emphasizing on-demand resource sharing, typical to Cloud Service Providers (CSPs), the research focuses on minimizing job completion delays through efficient task allocation. Utilizing Johnson’s ru...

Heart disease is a major global cause of mortality and a major public health problem for a large number of individuals. A major issue raised by regular clinical data analysis is the recognition of cardiovascular illnesses, including heart attacks and coronary artery disease, even though early identification of heart disease can save many lives. Acc...

Due in large part to the Internet of Things’ (IoT) anticipated enormous scope and extensive implementation, achieving safe and private communications on the IoT is difficult. Recent initiatives have investigated the use of blockchain technology to enable decentralized protection and privacy. Such methods, however, are prohibitive for the bulk of Io...

Handwriting Recognition (HWR) is a difficult and varied discipline having applications in a wide range of fields, including banking, education, and administration. This research investigates the two main types of HWR systems: online and offline character recognition. Online HWR entails real-time input utilizing digital pens to capture dynamic handw...

Biosensor nodes of a wireless body area network (WBAN) transmit physiological parameter data to a central hub node, spending a substantial portion of their energy. Therefore, it is crucial to determine an optimal location for hub placement to minimize node energy consumption in data transmission. Existing methods determine the optimal hub location...

Automated sarcasm recognition is a valuable tool for analysing user sentiment on social media platforms like Twitter and Facebook. Sarcasm, a form of criticism, involves expressing thoughts contrary to the intended meaning, often as a means of insult or humour. Failing to recognise sarcasm can limit social and professional interactions. Our approac...

Background and Aims Diabetes patients are at high risk for cardiovascular disease (CVD), which makes early identification and prompt management essential. To diagnose CVD in diabetic patients, this work attempts to provide a feature‐fusion strategy employing supervised learning classifiers. Methods Preprocessing patient data is part of the method,...

Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare, enabling continuous patient monitoring and early disease detection. This study introduces an innovative approach to WSN data collection tailored for disease detection through signal processing in healthcare scenarios. The proposed strategy leverages the DANA (data...

provides an overview of the sustainable approach to innovative wind turbine maintenance using hydrogen fuel. As the world transitions towards cleaner and more sustainable energy sources, wind power has emerged as a crucial component of the renewable energy landscape. Wind turbines are key assets in generating this clean energy, and their efficient...

Cyber-physical systems (CPS) combine the typical power grid with recent communication and control technologies, generating new features for attacks. False data injection attacks (FDIA) contain maliciously injecting fabricated data as to the system measurements, capable of due to improper decisions and disruptions in power distribution. Identifying...

This novel approach in animal biology could revolutionize identifying endangered species, addressing the issue of misclassifying potentially harmful animals based solely on visual characteristics. Particularly impactful for farmers in agricultural fields, it aims to reduce the heightened risk of venomous animal attacks, ultimately improving safety....

Wheeled mobile robots (WMRs) have been a focus of research for several decades, particularly concerning navigation strategies in static and dynamic environments. This review article carefully examines the extensive academic efforts spanning several decades addressing navigational complexities in the context of WMR route analysis. Several approaches...

Hyperspectral imaging is a crucial technology of remote sensing that captures hundreds of continuous spectral bands. In hyperspectral image (HSI) classification, pixels of HSI are classified into a particular class. HSI classification methods face challenges due to high dimensional data and the small number of labeled samples available. Recent year...

The term “Internet of Things” (IoT) represents a vast interconnected network comprising ordinary objects enhanced with electronics like sensors, actuators, and wireless connectivity. These augmentations enable seamless communication and data sharing among devices. IoT constitutes an ecosystem of programs, systems, and technologies that operate acro...

The continuously evolving world of cloud computing presents new challenges in resource allocation as dispersed systems struggle with overloaded conditions. In this regard, we introduce OptiDJS+, a cutting-edge enhanced dynamic Johnson sequencing algorithm made to successfully handle resource scheduling challenges in cloud computing settings. With a...

Cloud computing has revolutionized the management and analysis of data for organizations, offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud systems is crucial to optimize resource utilization and ensure timely job completion. This research presents a novel method for job scheduling in cloud computing, emp...

To improve the accuracy in the detection of diabetes-type diagnosis using Random Forest Algorithm and Support Vector Method. A dataset on diabetes was collected on kaggle.com. Support vector method analysis was performed on the data using kernel as linear, poly, and rbf with random state = 42 and test size = 0.2. The Random Forest Algorithm with n_...

The numerous strategies for the automated morphological categorization of galaxies, which uses a variety of supervised machine learning techniques, have not been well examined or compared. As the majority of star galaxy classifiers in use today use condensed summary data from catalogues, rigorous feature extraction and selection are required. With...

Skin disease is more normal than different sicknesses. Skin disease can be much inherited disease which directly or indirectly affects almost every age group we present an audit on profound learning strategies and their applications in skin infection conclusion. We first present a short prologue to skin infections and picture acquisition techniques...

Artificial intelligence is rapidly occupying the healthcare sector so as to solve and enhance the accuracy of medical reports, assistance, and many more. Deep learning is a subset of AI that is predominant for building basic models for image classification and segmentation. In this paper, we have used a modified CNN classifier for detecting COVID-1...

Agriculture has profound influence on the economy of India. In India Agriculture is a major source from where the collective amount of turnover is responsible on the crop, quality and Weather. In major part of the northern India rice grain agriculture is done and to ensure the quality of grains Traditional method is usually used. With the rise in t...

With the continuous advancements in communication technology and the emergence of multirobotic path planning, the need for efficient task offloading and scheduling mechanisms has become paramount. The development of 6G networks offers unprecedented opportunities for improving communication capabilities, yet also brings forth new challenges in ensur...

The creation of hardware and software with intelligence that mimics human behaviour is the focus of the branch of computer science known as artificial intelligence (AI). Computers designed with artificial intelligence are capable of recognizing speech, learning, problem-solving, and planning, among other things. One of the most deadly infections, p...

This paper proposes a neural network-based approach for detecting network threats in chemical plants. Chemical plants are vulnerable to various types of network attacks, including cyber-physical attacks, insider threats, and malware attacks. The proposed approach utilizes a deep neural network model to analyze network traffic and identify anomalous...

Evaluating the hyperparameters and layers of the number of layers, node counts, and activation functions in Multilayer Perceptron (MLP) is not possible through the conventional process of tuning because of its dense layer of architecture. Hence, it becomes very difficult to choose the ideal network architecture layer for testing the data in the ens...

The integration of Big Data Analytics (BDA) and the Internet of Medical Things (IoMT) has brought a significant transformation in the healthcare industry. The emergence of Explainable Artificial Intelligence (XAI) has further revolutionized the healthcare sector by providing insights into complex machine learning models. This survey aims to explore...

In the twenty-first century, there has been an increase in the use of electronic commerce networks to speed up various business activities like sales, forecasting, client product consumption , and their purchasing patterns. User interaction and suggestion systems are essential parts of the decision support system for any form of business criterion....

COVID-19 has changed particularly the marketing and retail sectors, the epidemic has changed peoples’ habits. Analyzing client purchase patterns and flows is a common use for consumer behavior analysis. For the purpose of analyzing consumer behavior and purchase trends across the COVID-19 era, this work combined a statistical strategy with a data m...

The Internet of Things has the potential to be a game-changing industry that significantly impacts our lives and changes the course of the planet. Many IoT applications are shown in order to provide data-driven and intelligent applications for the user and the rest of the world. However, pandemics and outbreaks like COVID-19 have brought attention...

Cloud computing is an emerging technology for networking and virtual database extension, which is being adopted by several enterprises widely. Nowadays, every single enterprise is mitigating toward virtualization immensely. Several cloud services provide a great range of computer infrastructure tools and technology. Thus, implementing a cloud‐orien...

The use of cryptography, or the art of secret writing, to secure information exchanged via an open medium is an ancient technique, but its significance in the modern world has greatly expanded. It has become necessary to search for ever-better cryptographic primitives that offer a level of security while limiting the time needed to encrypt and deco...

Intuitive context-aware algorithms called "Next Basket recommender systems" improve con-sumers' decision-making by offering suggestions for potential products they might like to buy next based on their past behaviour. Even though it is now well-known, this field is still young. Many different industries, such as e-commerce and healthcare, employ re...

The usability testing is a complex procedure with many components for those wishing to improve their websites' usability to the fullest. There is no rocket science involved; all you need to know is some basic assumptions. The most obvious one is that if you want your website to be fantastic, you must test. The key usability issues that are pertin...

Measurement of e-commerce usability based on static quantities variable is state-of-the-art because of the adoption of sequential tracing of the next phase in the categorical data. The global COVID-19 outbreak has completely disrupted society and drastically altered daily life. The concept refers to an electronic commerce network that appears with...

Scheduling of robots is one of the imperative assignment in a multi robot system. Scheduling is prerequisite when there is a multiple task need to be assigned to multi robot in an arranged manner. There is a growing need for robots to perform complex tasks autonomously. Multi-robot environment becomes complex as there are multiple factors need to b...

The overall effectiveness of a website as an e-commerce platform is influenced by how usable it is. This study aimed to find out if advanced web metrics, derived from Google Analytics software, could be used to evaluate the overall usability of e-commerce sites and identify potential usability issues. It is simple to gather web indicators, but proc...

The above article from IET Communications, published online on 4 November 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited spec...

Artificial intelligence is one of the technologies which are being applied in various domains. In transportation, managing the vehicles pass way parking and highway traffic is one of the challenging task. Maximum of the road accidents happen due to the high-beam trails on the highway and reflection gage. In this paper, we have studied the total acc...

Business-based decision support systems have been proposed for a few decades in the e-commerce and textile industries. However, these Decision Support Systems (DSS) have not been so productive in terms of business decision delivery. In our proposed model, we introduce a content-based image retrieval model based on a DSS and recommendations system f...

With more than one billion connected devices, the notion of the Internet of Things (IoT) is now gaining momentum. The mobile robot must be able to find itself in space, which is a necessary ability for autonomous navigation. Every high-level navigation operation starts with the fundamental assumption that the user is aware of both their position an...

Robotics is an amalgamation of mechanical engineering and computer science. Mechanical engineering helps to design and develop mechanical parts and devices for control systems in robots. Space robots and robotics are known as devices that can enhance the manipulation, functionalities, and control exercised by astronauts, and thus can be called thei...

With the rise in technology AI (Artificial Intelligence) is being used in healthcare at a wider level. Also, for health care automation deep learning and medical image processing is being proven as a boon for capturing and tracking accurate patient record and disease prediction. Heart sounds play a significant role in screening for heart disea...

Deep learning is subset of artificial intelligence which is considered as a backbone for object identification in computer vision technology. For societal issue deep learning based intelligent system is a significant approach to solve problem of society prominently in healthcare becomes a debatable concern. Medical image processing is emerging part...

background: Applications of deep learning for the societal issues are one of the debatable concerns where the community medicine and implication of artificial intelligence for the societal issues are a big concern. This article, it is shown the applications of neural networks in clinical practice for reproduction procedure enhancement. And this is...

The combination of computer science and electronics is one of the best technologies. It is developing in the form of the Internet of Things (IoT). Among the many applications implemented by the Internet of Things (IoT), smart and connected healthcare services are particularly important. Impact of IoT, which is still in its infancy, but medical care...

We describe the case of an 81 year old gentleman who presented after a trivial fall with haemodynamic instability and worsening abdominal pain and swelling. An initial trauma CT identified superior and inferior pubic rami fractures associated with a large intra-pelvic collection. A subsequent CT angiogram confirmed a large pelvic haematoma with an...

Globally, the reserves of heavy crude oil are seven times more abundant than that of light crude, and yet, they are underutilized because of their high viscosity and density, which is largely due to the presence of large amounts of asphaltenes. Biotransformation of heavy oil asphaltenes into smaller metabolites can be used for reducing their viscos...

The shoe industry is a very competitive industry and in order to capture the market, customized shoes are desired nowadays to satisfy consumers' needs on style, fit and comfort. Companies need to either develop a system for quick design changes, creation of huge virtual design variations and in some cases adoption of mass-customization principles t...

Stock market prediction is a typical task to forecast the upcoming stock values. It is very difficult to forecast because of unbalanced nature of stocks. In this work, an attempt is made for prediction of stock market trend. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle vario...

The shoe industry is a very competitive industry and in order to capture the market, customized shoes are desired nowadays to satisfy consumers’ needs on style, fit and comfort. Companies need to either develop a system for quick design changes, creation of huge virtual design variations and in some cases adoption of mass-customization principle...

AI assumes a significant part from past years in picture recognition, spam redesign, typical discourse order, item suggestion and clinical determination. Present AI calculation helps us in improving security alarms, guaranteeing public wellbeing and improves clinical upgrades. AI framework likewise gives better client assistance and more secure veh...

This research paper based on the topic 'Creating facial expressions with the help of emojis' describes about the basic aspects and provides details of different ways to express and communicate our feelings. There are a wide range of approaches to communicate and impart our sentiments. The two ordered a method of correspondence is verbal and non-ver...

The issue of pollution in urban cities is a major problem these days especially in cities like the New Delhi is detected with more number of toxic gases in air, which has deduced the air quality of New Delhi. Thus, predictive analytics play a significant role in predicting the future instances of air quality based on the historical data. Foreca...

The combination of computer science and electronics is one of the best technolo- gies. It is developing in the form of the Internet of Things (IoT). Among the many applications implemented by the Internet of Things (IoT), smart and connected healthcare services are particularly important. Impact of IoT, which is still in its infancy, but medical...

Rapid growth in computer and Information Technologies depends upon the internet based devices that making it possible to connect with the every single impossible thing in this physical world so efficiently. In the last decades IoT gained very much popularity across the world, The Rise of the sensory based devices are being utilized in the moder...

The combination of computing and electronics made it one of the best technology. It is evolving in the form of the Internet of Things (IoT). Among the many applications activated by the Internet of Things (IoT), smart and connected health services are particularly important. Impact of IOT,It is still in its infancy, but medical assistance is import...

Paper used dispersion compensating fibers (DCF) to compensate the positive dispersion accumulated over the fiber length at 20 Gbits/sec. When different wavelengths of light pulses are launched into the optical fiber, these pulses travelled with different speeds due to the variation of refractive index with wavelength. The light pulses tend to get s...

Human beatboxing is a vocal art making use of speech organs to produce vocal drum sounds and imitate musical instruments. Beatbox sound classification is a current challenge that can be used for automatic database annotation and music-information retrieval. In this study, a large-vocabulary humanbeatbox sound recognition system was developed with a...

This is break direction on oxygen sources and conveyance methodologies for COVID-19 treatment. It has been adjusted from WHO and UNICEF's specialized details and direction for oxygen treatment gadgets, which is important for the WHO clinical gadget specialized arrangement, 1 and depends on current information on the circumstance in China and differ...

Buyer practices have changed as individuals are figuring out how to live with the new truth of COVID-19. Take-out and conveyance orders have expanded, and our customer has added new items to their menu because of new client inclinations. With every one of the continuous changes, the customer had numerous unanswered inquiries, for example, Smartbrid...