Papers by Pranali Chavhan
Implementing Long Short-Term Memory Network for Enhancing Hyper Spectral Time Series Modeling
Case Study Medical Images Analysis and Classification with Data-Centric Approach
Chapman and Hall/CRC eBooks, Apr 17, 2024
Investigating the Potential of Machine Learning for Enhancing Real-Time Data Analysis
IoT and AI-based Smart Farm: Optimizing Crop Yield and Sustainability
BENTHAM SCIENCE PUBLISHERS eBooks, Dec 20, 2023
Academic Emotion Prediction in Online Learning Utilizing Deep Learning Approach
BENTHAM SCIENCE PUBLISHERS eBooks, Dec 24, 2023
International Journal ofINTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, 2023
Data science is the driving force behind the significant technological and operational changes th... more Data science is the driving force behind the significant technological and operational changes that cyber security is going through in the computer world. Identifying trends or insights regarding security occurrences in cyber security data and creating a datadriven model that correlates with them are essential elements in creating an automated and intelligent safety system. This means gathering data from pertinent cyber security sources and applying analytics to improve the most recent trends based on data. The article also highlights important variables that affect the design choices made for the control, communication, redundancy, and reliability of ICS, as these aspects are crucial in figuring out the security requirements of the system. Network segmentation, access control, patches management, and security monitoring are just a few of the security countermeasures that are currently in place. Additionally, the paper investigates how machine learning methods might be integrated to improve ICS cyber security. Subsequently, we list the pros and cons of the available security solutions, talk about how to secure industrial control systems (ICSs) and implement additional security measures (like risk assessment methodologies), point out unresolved security research issues related to ICSs, and make recommendations for future directions in ICS security research.
A Survey Based on Privacy-Preserving Over Health Care Data Analysis
Emerging Trends in Expert Applications and Security
Context Awareness Computing System—A Survey
Lecture notes in networks and systems, 2021
An Investigative Approach of Context in Internet of Behaviours (IoB)
Lecture notes in networks and systems, 2023
International Journal on Recent and Innovation Trends in Computing and Communication
Context is a vital concept in various fields, such as linguistics, psychology, and computer scien... more Context is a vital concept in various fields, such as linguistics, psychology, and computer science. It refers to the background, environment, or situation in which an event, action, or idea occurs or exists. Categorization of context involves grouping contexts into different types or classes based on shared characteristics. Physical context, social context, cultural context, temporal context, and cognitive context are a few categories under which context can be divided. Each type of context plays a significant role in shaping our understanding and interpretation of events or actions. Understanding and categorizing context is essential for many applications, such as natural language processing, human-computer interaction, and communication studies, as it provides valuable information for interpretation, prediction, and decision-making. In this paper, we will provide an overview of the concept of context and its categorization, highlighting the importance of context in various fields...
To achieve specific business goals in the most effective and efficient manner, "Management" is on... more To achieve specific business goals in the most effective and efficient manner, "Management" is one of the most important aspects we have considered. Efficiency in management helps to complete tasks within a specific timeline for better results. This study investigates the impact of the internet and online services on the beauty industry and its management. Here we studied the different case studies related to the topic which contributes to the importance of online services. Our results show the limitations, solutions and also advantages over traditional methodology. An effort has been made by the researcher in this paper to review various essentials of beauty services, related technology, marketing approach, existing issues, and possible solutions by reviewing the available literature The results of the study can assist the beauty industry to evolve in a way that advances towards better management strategies for their services.
Human pose detection is one of the essential factors in many surveillance-based applications such... more Human pose detection is one of the essential factors in many surveillance-based applications such as fall detection, humancomputer interaction activities, sports and fitness, motion or movement analysis, robotics, and many other 'Artificial Intelligence projects and applications. In this survey, we aim to cover the methods that are used before, for human pose detection-single person or multiple people, and examine their efficiency using required parameters, and their real-time compatibility. We will compare and discuss the different methods and technologies used for posture detection and their results. This research can be used to improve the results of systems that use pose detection as their primary parameter, hence can be very helpful for many life-saving applications such as fall detection. We also aim to use this research to develop an efficient model for human pose detection using deep neural networks. The model works on both images and video Human pose detection is one of the essential factors in many surveillance-based applications such as fall detection, humancomputer interaction activities, sports and fitness, motion or movement analysis, robotics, and many other 'Artificial Intelligence projects and applications. In this survey, we aim to cover the methods that are used before, for human pose detection-single person or multiple people, and examine their efficiency using required parameters, and their real-time compatibility. We will compare and discuss the different methods and technologies used for posture detection and their results. This research can be used to improve the results of systems that use pose detection as their primary parameter, hence can be very helpful for many life-saving applications such as fall detection. We also aim to use this research to develop an efficient model for human pose detection using deep neural networks. The model works on both images and videos. The model is built for single-person pose estimation with the help of Machine Learning. The model is built for single-person pose estimation with the help of Machine Learning.
Context is a vital concept in various fields, such as linguistics, psychology, and computer scien... more Context is a vital concept in various fields, such as linguistics, psychology, and computer science. It refers to the background, environment, or situation in which an event, action, or idea occurs or exists. Categorization of context involves grouping contexts into different types or classes based on shared characteristics. Physical context, social context, cultural context, temporal context, and cognitive context are a few categories under which context can be divided. Each type of context plays a significant role in shaping our understanding and interpretation of events or actions. Understanding and categorizing context is essential for many applications, such as natural language processing, humancomputer interaction, and communication studies, as it provides valuable information for interpretation, prediction, and decision-making. In this paper, we will provide an overview of the concept of context and its categorization, highlighting the importance of context in various fields and applications. We will discuss each type of context and provide examples of how they are used in different fields. Finally, we will conclude by emphasizing the significance of understanding and categorizing context for interpretation, prediction, and decision-making. Keywords-Context, Context awareness, Taxonomy of Context, Internet of Behaviour, Ubiquitous of Computing, User preference I. INTRODUCTION Context is a fundamental concept that plays a significant role in shaping our understanding and interpretation of events, actions, or ideas. Context is a fundamental concept that refers to the background, environment, or situation in which something occurs or exists. It is a crucial aspect of human understanding, and it plays a vital role in shaping our perception of events or actions. In different fields, such as linguistics, psychology, and computer science, context is essential for interpreting and analyzing various phenomena. Understanding context is crucial for natural language processing, machine learning, decision-making, and communication studies. Context can be categorized in different ways, and each categorization defines a set of parameters that characterize the context. These parameters provide a framework for analyzing and interpreting context. Some of the common parameters used for categorizing context include: 1) Physical Context: Physical context refers to the physical environment in which an event or action occurs. The parameters that define physical context include location, weather conditions, and objects present in the surroundings. For example, the physical context of a conversation could be a coffee shop, a park, or an office[1]. 2) Social Context: Social context refers to the social setting or relationships between people involved in an event or action. The parameters that define social context include the relationship between the people involved, their roles, and their social status. For example, the social context of a conversation could be a formal meeting, a casual chat, or a job interview[1][2]. 3) Cultural Context: Cultural context refers to the cultural norms, values, and beliefs that influence an event or action. The parameters that define cultural context include language, customs, traditions, and religion. For example, the cultural context of a conversation could be a Western or Eastern culture, a religious or secular context.
Empirical Analysis of Sentence Embedding Techniques for Answer Retrieval in Marathi Question Answering
2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Context Awareness Computing System—A Survey
Proceedings of International Conference on Communication and Artificial Intelligence, 2021
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Papers by Pranali Chavhan