Ashish Khanna

Maharaja Agarsain Institute of Technology · Computer Science Dept.

The reliability and operational efficiency of rotating machinery have become increasingly vital across various industries. Using Fibre Bragg Grating (FBG) vibration sensors, this study investigates the use of Machine Learning (ML) techniques for fault detection and predictive maintenance. The primary goal is to enhance early fault detection and opt...

Predictive maintenance (PM) is a data-driven approach to performing proactive maintenance by analyzing the condition of the equipment in any industrial setting. The high-precision sensors are widely adapted to meticulously analyze critical maintenance conditions using such a data-driven approach. In a similar context, a fiber brag grating (FBG) sen...

The timely detection of stress has become increasingly difficult because of the growing number of stressed individuals and the lack of availability of diagnostic tools. Clinical psychology mainly relies on manual detection methods, which, although effective, depend on the experience and expertise of the doctor. To address this issue, the proposed r...

This paper shows the framework for solving the economic optimization problem in electrical grid system using Advanced Oppositional Based Learning (AOBL) technique with Invasive Plant Ant Colony Optimization (IPACO) algorithm. The work focuses on application of newly developed algorithm called Advance Oppositional Invasive Plant Ant Colony Optimizat...

Psychological activities have various dimensions in which they correlate with their respective behavior generated by the human body. Understanding the relationship of psychological events from external action units is one of the research subjects to explore various human behavior and their dependencies. The study of psychological analysis in the me...

With the emergence of Internet of Things, massive amount of data is produced, processed, propagated, and stored each and everyday. These IoT devices are built only to fulfill the aimed requirement with very limited resources. As a result, their security and privacy are not prioritized. Implementing any solution for the privacy and security issues o...

Online comments can often be toxic, offensive, and harmful to individuals and communities. In recent years, there has been a growing need to automatically identify and mitigate these toxic comments. For this problem, NLP models are often used to identify such toxicity and harshness but each model has its own efficiency and performance limitations....

The IoMT technology offers an efficient solution for remote monitoring and analysis using various sensors. However, the use of electronic devices and systems is not always preferred in every healthcare facility. Further, the remote monitoring of cardiac parameters and the measurement of Heart Rate Variability (HRV) are crucial aspects in every majo...

Smart farming influences advanced technologies to optimize agricultural procedures, yet it meets significant cybersecurity challenges, particularly in External Intrusion Detection (EID). This article proposes a novel architecture combining Blockchain Technology and Federated Learning (FL) to reinforce the security of Smart Farming Systems (SMS) aga...

Incorporating blockchain technology and QR codes presents a potential solution to the issues educational bodies encounter while handling and authenticating student records in today’s digital age. This research paper puts forth a method to handle the security and authenticity of academic documents by incorporating these technologies. The system prop...

In the complicated and dynamic financial market, the forecast of financial investment choices is essential for assisting investors in making decisions. In order to predict financial investment alternatives, this research article focuses on using machine learning techniques, specifically the random forest algorithm. The performance of each algorithm...

IoT, the upcoming phase of the information innovation, refers to the condition in which millions and millions of people and appliances are associated to improve the interchange of enormous volumes of data from various regions, necessitating the resultant requirement for intelligent data aggregation. But along with the many advantages and uses it of...

Today, life is full of stress due to modern age issues. People around us are suffering directly or indirectly from stress. Most of the time healthcare workers end up finding the stressed state of a person when the person can’t be helped, because if the same identification is been done at early stage, then it could have been a great help. Major draw...

Tuberculosis is an infectious disease that affects a significant number of people all over the globe. The possibility of therapy does not exclude the need for an accurate diagnosis, however. Even while there is generally available X-ray equipment, particularly in underdeveloped nations, there is sometimes a lack of radiological expertise, which mak...

In the complicated and dynamic financial market, the forecast of financial investment choices is essential for assisting investors in making decisions. In order to predict financial investment alternatives, this research article focuses on using machine learning techniques, specifically the random forest algorithm. The performance of each algorithm...

Incorporating blockchain technology and QR codes presents a potential solution to the issues educational bodies encounter while handling and authenticating student records in today's digital age. This research paper puts forth a method to handle the security and authenticity of academic documents by incorporating these technologies. The system prop...

Medical documents verification is a critical and expensive process that often relies on centralized databases. However, manual verification of such documents is time-consuming and lacks credibility. Deep learning and blockchain technology can be employed to address this issue by reducing fraud and increasing efficiency. The use of non-transferable...

Recommendations engines are information filtering technologies that employ various frameworks as well as data to inform a specific user/viewer of the most important aspects. Recommendation systems for content streaming platforms or OTT platforms are critical for responding to the changing demands of a large audience with high-quality, error-free co...

Road traffic crashes are one of the prime issues in the world. Every year 1.35 million people die, 20 to 50 million fatal injuries, and many incur a disability due to road traffic crashes. 50% of the total death, injuries, and disabilities are among vulnerable road users (VRUs), such as motorcyclists, cyclists, and pedestrians. Among these VRUs, hi...

Text classification helps analyse texts for semantic meaning and relevance, by mapping the words against this hierarchy. An analysis of various types of texts is invaluable to understanding both their semantic meaning, as well as their relevance. Text classification is a method of categorising documents. It combines computer text classification and...

With the continuous increase of internet usage in todays time, everyone is influenced by this source of the power of technology. Due to this, the rise of applications and games Is unstoppable. A major percentage of our population uses these applications for multiple purposes. These range from education, communication, news, entertainment, and many...

With the advancement of information and communication technologies (ICTs), there has been high-scale utilization of IoT and adoption of AI in the transportation system to improve the utilization of energy, reduce greenhouse gas (GHG) emissions, increase quality of services, and provide many extensive benefits to the commuters and transportation aut...

The recent advancements in the Internet of Things (IoT) and Wireless Multimedia Sensor Networks (WMSN) made high-speed multimedia streaming, data processing, and essential analytics processes with minimal delay. Multimedia sensors used in WMSN-based surveillance applications are beneficial helpful in attaining accurate and elaborate details. Howeve...

The internet of agents (IoA) is an emergent model, which mainly intends to resolve the limitations of the internet of things (IoT) devices with respect to reasoning and social competencies for improving proactivity, intelligence, and interoperability. This article presents a novel grasshopper optimization with deep learning enabled multi‐agent syst...

Recently, autonomous driving systems have become hot research which allows the drivers in making decisions to enhance safety, decrease traffic accidents, and move nearer toward completely autonomous cars and intelligent transportation systems. Autonomous driving systems necessitate consistent and accurate detection technique to detect objects in th...

During the 2nd phase of COVID-19 pandemic, pharmaceutical plant industry is facing lot of production pressure and machine availability plays vital role in maximizing the manufacturing pharmacy product output. In this paper, Artificial Neural Networks (ANNs) based information processing algorithm has been used to provide a solution to this problem a...

The Internet of Things (IoT) is a network of heterogeneous nodes that exchange data and critical information amongst themselves with minimum human intervention. The utility of this technology is large, thus it is used today in most modern applications. With billions of nodes connected across multiple applications, the area for potential security at...

The rapid development of technologies in biomedical research has enriched and broadened the range of medical equipment. Magnetic resonance imaging, ultrasonic imaging, and optical imaging have been discovered by diverse research communities to design multimodal systems, which is essential for biomedical applications. One of the important tools is p...

Glaucoma causes blindness in long-time untreated cases. So, its early diagnosis is very important. Moving from that, there have been lots of Deep Learning oriented studies to diagnose Glaucoma from color fundus images. However, it is important to know about how humans can trust to black-box level Deep Learning models in their decision makings. In t...

The delay in transportation of necessary items is due to traffic congestion throughout the world. This is a serious phenomenon which results in waste of time and fuel. The detection of road conditions and dissemination of traffic information efficiently and effectively is a big challenge to authorities. Recently, the technologies of vehicular ad ho...

In recent days, Cognitive Cyber-Physical System (CCPS) has gained significant interest among interdisciplinary researchers which integrates machine learning (ML) and artificial intelligence (AI) techniques. This era is witnessing a rapid transformation in digital technology and AI where brain-inspired computing-based solutions will play a vital rol...

Dystrophinopathies are commonly affecting inherited muscular disease over the globe. Magnetic resonance imaging (MRI) is widely employed as a significant tool to diagnose dystrophinopathies. Though MRI is effective, it is mainly based on personal experiences and can simply result in misdiagnosis. This study designs a multi-objective quantum tunicat...

Structural Health Monitoring (SHM) of large structures is a critical aspect due to various environmental conditions, high speed & long-distance communication, dynamic analysis of the structure, and cost of operation. These issues can be addressed using Fiber Bragg Grating (FBG) sensor technology which has evolved to a new height and is widely used...

This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research sc...

This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research sc...

This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research sc...

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents...

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents...

With recent advancements in the internet of things (IoT), wearables, and sensing technologies, the quality of healthcare services gets improved and it caused a shift from conventional clinical‐based healthcare to real‐time monitoring. The sensors are commonly integrated into several medical gadgets to save the bio‐signals produced by the physiologi...

At present times, the drastic advancements in the 5G cellular and internet of things (IoT) technologies find useful in different applications of the healthcare sector. At the same time, COVID-19 is commonly spread from animals to persons, but today it is transmitting among persons by adapting the structure. It is a severe virus and inappropriately...

In every educational institution, predicting pupils’ performance is a vital responsibility. Due to this, a variety of data mining techniques, such as clustering, classification, and regression, are applied to anticipate the learner’s study behavior. By Machine Learning’s arrival, it has become vital to forecast students’ academic achievement, and t...

Machine Learning Model for work-life balance for female entrepreneurs.

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fi...