Prashant Giridhar Shambharkar

• Doctor of Engineering
• Professor (Assistant) at Delhi Technological University

The growing complexity of cyber threats presents significant challenges to the security of Internet of Medical Things (IoMT) systems, where traditional security and intrusion detection methods often prove inadequate. The Key challenges include inefficient key management, fragmented security protocols, and limited scalability. To address these issue...

The integration of Electronic Health Records (EHRs) in healthcare has significantly advanced the field but introduced challenges related to data security and precise diagnoses due to the large data volume. To address these issues, we propose the SA-GBO-ODBN model, combining Blockchain and deep learning (DL) for secure medical data management and di...

The increasing prevalence of cyber threats in healthcare necessitates robust security measures to protect sensitive medical data. This research presents a hybrid security framework integrating blockchain for decentralized, immutable data storage and an intrusion detection system (IDS) leveraging a multi-attention deep convolutional recurrent neural...

The fusion of Internet of Things (IoT) technology into healthcare, known as the Internet of Medical Things (IoMT), has significantly enhanced medical treatment and operational efficiency. Real-time patient monitoring (RPM) and remote diagnostics enabled by IoMT allow doctors to treat more patients effectively and save lives. However, healthcare dev...

The exponential increase in video consumption has created new difficulties for browsing and navigating through video more effectively and efficiently. Researchers are interested in video summarization because it offers a brief but instructive video version that helps users and systems save time and effort when looking for and comprehending relevant...

The fusion of the internet of things (IoT) in the healthcare discipline has appreciably improved the medical treatment and operations activities of patients. Using the Internet of Medical Things (IoMT) technology, a doctor may treat more patients and save lives by employing real-time patient monitoring (RPM) and outlying diagnostics. Despite the ma...

With the massive expansion of videos on the internet, searching through millions of them has become quite challenging. Smartphones, recording devices, and file sharing are all examples of ways to capture massive amounts of real time video. In smart cities, there are many surveillance cameras, which has created a massive volume of video data whose i...

Hate speech is an important problem while dealing with user-generated content on online social media platforms. The huge amount of data generated makes it nearly impossible to manually moderate hate speech content and take appropriate measures. In this paper, we utilize various optimization algorithms to enhance the feature extraction and vectoriza...

With advancement in technology, our lives have become safer, smarter and easier. There has been a large increase in number of vehicles connected to Internet. The rapid progress in technology has brought the concept of Internet of Vehicles (IoV) to real life. Networks involving Vehicle-to-Vehicle communication can be extended to IoV. With the help o...

A trailer is a short version of the movie which gives the viewer information about the movie such as its genre, the cast and what the audience needs to expect from the movie. You should never judge a book by its cover but you can always judge a movie by its trailer. So in this paper, we aim to classify actors in movie trailers by extracting key fra...

In this paper, artist face recognition, and all movie prediction system is proposed. It comprises of two phases. Initially, the faces in the video are recognized using an l1-minimization CNN + HOG framework, and some keyframes are selected, based on a robust measure of confidence. Then the labels are propagated from the keyframes to the remaining f...

In current situation, video classification is one of the important research domains. Since video is a complex media with various components, classification of video is normally a complex process. This paper presented a human action based movie trailer classification using optimized deep convolutional neural network in video sequences. Initially, im...

Movie trailer classification is a field of automation of analyzing the movie trailers and classify them into one of the various genres. In this paper, we proposed a classifier to identify the genre of a movie trailer by analyzing it's audio and visual features simultaneously. Our Approach decomposes a trailer video into frames and audio file and th...

In this paper, we propose a novel method for automatic annotation of events and highlights generation for cricket match videos. The videos are divided into time intervals representing one ball clip using a Convolutional Neural Network (CNN) and Optical Character Recognition (OCR). CNN detects the start frame of a ball. OCR is used to detect the end...

Today in this world of media, the gigantic amount of videos are ready to be fetched. But it is very difficult to find and search appropriate videos. A huge amount of human effort required to categorize those video files. Various approaches have been started from so many years to help viewers to have appropriate solutions. Videos are rich in data wh...

Nowadays huge amount of data is generated through various activities. To manage the data in proper format and the way it is to be maintained. There are so many ways to maintain the data. Classification of data is done so as to identify and put that data in different classes. It is nothing but to group that data in different classes and retrieve as...

Videos are in huge demand today. The internet is flooded with videos of all types like movie trailers, songs, security cameras etc. we can find so many genres but the only difficulty we face is the proper search of these videos. Sometimes we are irritated and get sick of the irrelevant search result. To sort out this difficulty we aim to classify v...