Graph Based Automatic Text Summarization for Categorization of BBC News Articles Pratik Singh, Shivani Pandey, Abhinav Das Lodhi, Sonal Namdev, Pradeep Kumar Mishra, Sanjay Kr. Pandey 2025 2nd International Conference on Computational Intelligence Communication Technology and Networking Cictn 2025, 2025 Large number of users use world wide web, news on news channels, weather reports, blogs, online available research works, online social media platforms and government reports, magazines to extract the useful information but due to enormous size of textual content in Petabytes or Zettabytes it is unfeasible to manually summaries the big data and extract the required information. Thus, the use of computerized text summarization is becoming more widespread. Research on text summarization has been conducted extensively in the field of natural language processing (NLP). There are numerous methods for automatic text summarization. Using the BBC News Summary dataset, this research employs a popular technique called graph-based extractive text summarization. It might be difficult to assess a text summary's quality; BLEU measurements and ROGUE variables are employed in this process.
Hybrid Deepfake Detection Framework: Integrating Customized CNN, Ensemble Learning, and Meta-Learning for Enhanced Robustness Pratik Singh, Shivani Pandey, Shakshi Sharma, Prashant Tomer, Ashish Bajpai, Aatif Jamshed Icdt 2025 3rd International Conference on Disruptive Technologies, 2025 Deepfake technology is widely used to generate hyper-realistic media and animated content. With its advantage, it is a challenge to detect real content as manipulated content may lead to malicious activities, defamation, and rumors. To overcome this issue, in this paper, a Hybrid Deepfake Detection Framework is proposed, in which a Customized Convolutional Neural Network (CNN), a stacking-based ensemble approach, has been integrated with meta-learning. The proposed framework has analyzed facial landmarks to extract features using multiple CNN architectures. Meta-learning has been adapted to refine and improve accuracy in the classification of fake content and real content. The proposed framework has been implemented using Celeb-DF (V2) and FaceForensics++ datasets and evaluated on performance parameters metrics Accuracy and AUC. For the Celeb-DF(V2) dataset, the Accuracy percentage is 96.33% and AUC percentage is 97.05% whereas for FaceForensics++ dataset Accuracy percentage is 97.00% and AUC percentage is 98.00%.
A Review on Federated Learning Approaches for Privacy-Preserving Mental Health Monitoring Rakshita Chandel, Ananta Verma, Pari, Nikshy Goliyan, Aqib Akhtar Zia, Shivani Pandey 2025 2nd International Conference on Advanced Computing and Emerging Technologies Acet 2025, 2025 Mental illnesses, such as depression and anxiety, are emerging as an increasing global public health concern. Effective technologies to detect early phases of mental illness, as well as monitor individual symptoms over time in both public health and clinical settings, are needed. Traditional digital health technologies have users' information consolidated in a central repository, and thus may have implications for privacy and security. An alternative approach is collaborative machine learning methods such as Federated Learning (FL), which retains data on-device rather than at a central location; this preserves user's sensitive personal information. Although the data remains on-device, more efficient solutions such as sharing only model updates and aggregating computations are possible. In implementation, FL provides on-device data storage and even when sharing model updates, data privacy is maintained, while predictive accuracy may remain similar to data-driven algorithms. This review presents FedMind, a FL-based framework for preserving privacy in monitoring mental health. FedMind incorporates PHQ-9 survey scores, alongside facial emotion recognition models for capturing both subjective and behavioral signals.
Oracles-Blockchain for Quotation Selection and Secure Healthcare Equipment Supply chain Shakshi Sharma, Shivani Pandey, Yash Sharma, Romita Khurana, Vinay Rishiwal, Latika Pinjarkar 2025 7th International Conference on Information Systems and Computer Networks Iscon 2025, 2025 In the sector of healthcare equipment supply chain, the consumer initially requests quotations from multiple vendors through tenders and gives an order to the selected quotation. In this process, there is involvement of a third party which leads to favoring a few vendors, getting tenders in an unbiased or illegal manner which may result in high cost to the consumer. To overcome these challenges, in this paper, Oracles integrating with a blockchain framework have been proposed in which Oracles will select quotations from the database with a moderate price. The selected quotation details will be sent to the blockchain to track the supply chain through Smart Contract. The blockchain will track the supply chain of healthcare equipment and machinery from manufacturer to diagnostic centers, healthcare clinics, and hospitals. The proposed framework provides unbiased quotation selection and moderated price with a secure environment for the healthcare equipment supply chain. The manufacturer, supplier, distributor, and retailer are first authorized to participate in the supply chain network and later participants can trace the status of the order. To search the status of equipment, a webbased application integrated with the blockchain network has been deployed. The proposed framework has been evaluated on parameters: throughput, latency, and gas consumption.
Implemented Model for CNN Facial Expressions: Emotion Recognition Pratik Singh, Shivani Pandey, Aditi Sharma, Archana, Tanaya Gupta 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology Icseiet 2023, 2023 By aggregating real and active expressions and motions, the proposed paper obtains useful results that can provide any beneficial result to the useful concept so that the dynamic part of the incoming expression is in the picture in front. This article is able to identify the various manifestations with dynamic platform and then design for the subsequent action as per the situation. The situation has been realized by the natural environment and of course a number of techniques have been produced in many articles and the latest implemented graphs, which are capable of taking images as input values of the running system. Now, a live video is playing in place of the saved images and an objective has been created to achieve accuracy in the result as live video is usually described as a realistic expression of the active object. In a broad sense, the video mainly conveys a varied expression of inner emotion as several changes have been considered at a time to make this research article very functional for others by recognizing the active environment for the current screenplay. In this paper a Convolutional Neural Network (CNN) model is implemented with Python programming for better analysis with different expressions and shows the analysis by comparison with existing techniques.
A Robust and Secure Image to Multi-Images Steganography Pratik Singh, Shivani Pandey, Priya Kumari, Alok Singh Chauhan, Prashant Tomer Proceedings of IEEE Inc4 2023 2023 IEEE International Conference on Contemporary Computing and Communications, 2023 With the enhancement in technology sharing of information in different forms like text, images or videos is being adopted worldwide. But this sharing of information also led to cybercrime, to overcome this image steganography approach has been widely used in which messages in the form of text, image or video can be enclosed within another image which will be invisible to other users. This research paper proposed an enhanced method of image steganography by concealing the secret image within several cover images, each of which conceals a portion of the secret image that has already been encrypted with a key. By partially blending into these cover images, secret images can be transmitted through comparable or other open channels more reliably and securely.
Intelligent Extension with Smart Connections using Bluetooth with IoT Nidhi Bansal, Khel Prakash Jayant, Pratik Singh, Shivani Pandey Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021 Wise work is always appropriate to achieve the comfort and ease of working style of life. Through low energy consumption, smart communication can make the campus useful to all living people. By achieving higher goals and improving in a more comprehensive way, results can be achieved from a customized level. With the core concepts of Bluetooth, IoT came in various faces to underline different results with various improvements. With the advancement of technology and advanced IoT networks, the range and capacity of communication channels are becoming very wide, and the ability to communicate with each other within their range also comes into consideration. Without using the Internet, the proposed paper shows a wide range model via a limited range of Bluetooth to extend the direct communication of IoT devices over a wide area without any loss in data and network connections. Extensive communication is offered through many Bluetooth-based IoT devices that act as slaves and communicate via their master Bluetooth which acts as a central device and Bluetooth for all other areas Devices are working. The entire network area will be divided into areas monitored by Masters Bluetooth devices that enable communication between different regions with extended range. Moves from one device to another and moves it to the active phase.
RECENT SCHOLAR PUBLICATIONS
Blockchain-Enabled Land Registration System: A Comprehensive Review and Implementation Framework A Bisht, N Teotia, A Sharma, T Agarwal, S Pandey Available at SSRN 6422578 , 2026 2026.0
A Review on Federated Learning Approaches for Privacy-Preserving Mental Health Monitoring R Chandel, A Verma, N Goliyan, AA Zia, S Pandey 2025 2nd International Conference on Advanced Computing and Emerging … , 2025 2025.0
Oracles-Blockchain for Quotation Selection and Secure Healthcare Equipment Supply chain S Sharma, S Pandey, Y Sharma, R Khurana, V Rishiwal, L Pinjarkar 2025 7th International Conference on Information Systems and Computer … , 2025 2025.0
An Optimal Approach for Government Tender Code Extraction Through Extreme Multi-Label Text Classification P Sharma, P Pant, S Pandey International Conference on Smart Computing and Informatics, 342-353 , 2025 2025.0
Hybrid Deepfake Detection Framework: Integrating Customized CNN, Ensemble Learning, and Meta-Learning for Enhanced Robustness P Singh, S Pandey, S Sharma, P Tomer, A Bajpai, A Jamshed 2025 3rd International Conference on Disruptive Technologies (ICDT), 732-735 , 2025 2025.0 Citations: 3
Graph Based Automatic Text Summarization for Categorization of BBC News Articles P Singh, S Pandey, AD Lodhi, S Namdev, PK Mishra, SK Pandey 2025 2nd International Conference on Computational Intelligence … , 2025 2025.0
Towards Securing the Digital Document Using Blockchain Technology with Off-Chain Attribute Based Encryption Framework S Pandey, V Rishiwal, DS Jat, P Yadav, M Yadav, A Jain 2024 International Conference on Emerging Trends in Networks and Computer … , 2024 2024.0 Citations: 3
Implemented Model for CNN Facial Expressions: Emotion Recognition P Singh, S Pandey, A Sharma, T Gupta 2023 International Conference on Sustainable Emerging Innovations in … , 2023 2023.0 Citations: 3
A Robust and Secure Image to Multi-Images Steganography P Singh, S Pandey, P Kumari, AS Chauhan, P Tomer 2023 IEEE International Conference on Contemporary Computing and … , 2023 2023.0
Advanced Steganography: Key Pairing P Singh, N Bansal, S Pandey, P Kumari ICT Systems and Sustainability: Proceedings of ICT4SD 2022, 153-160 , 2022 2022.0 Citations: 16
Low Priority Cluster Based TDMA Protocol For VANET: Vehicle's Communication Scenario. S Pandey, N Bansal, Y Masud Journal of Information Assurance & Security 17 (1) , 2022 2022.0 Citations: 4
Intelligent extension with smart connections using Bluetooth with IoT N Bansal, KP Jayant, P Singh, S Pandey 2021 5th International Conference on Trends in Electronics and Informatics … , 2021 2021.0 Citations: 11
An Optimal Approach for Government Tender Code Extraction Through P Sharma, P Pant, S Pandey Smart Computing Paradigms: Intelligence and Network Applications … , 0
An Effective TDMA Based Routing for VANET to Reduce Delay S Pandey, A Kumar
MOST CITED SCHOLAR PUBLICATIONS
Advanced Steganography: Key Pairing P Singh, N Bansal, S Pandey, P Kumari ICT Systems and Sustainability: Proceedings of ICT4SD 2022, 153-160 , 2022 2022.0 Citations: 16
Intelligent extension with smart connections using Bluetooth with IoT N Bansal, KP Jayant, P Singh, S Pandey 2021 5th International Conference on Trends in Electronics and Informatics … , 2021 2021.0 Citations: 11
Low Priority Cluster Based TDMA Protocol For VANET: Vehicle's Communication Scenario. S Pandey, N Bansal, Y Masud Journal of Information Assurance & Security 17 (1) , 2022 2022.0 Citations: 4
Hybrid Deepfake Detection Framework: Integrating Customized CNN, Ensemble Learning, and Meta-Learning for Enhanced Robustness P Singh, S Pandey, S Sharma, P Tomer, A Bajpai, A Jamshed 2025 3rd International Conference on Disruptive Technologies (ICDT), 732-735 , 2025 2025.0 Citations: 3
Towards Securing the Digital Document Using Blockchain Technology with Off-Chain Attribute Based Encryption Framework S Pandey, V Rishiwal, DS Jat, P Yadav, M Yadav, A Jain 2024 International Conference on Emerging Trends in Networks and Computer … , 2024 2024.0 Citations: 3
Implemented Model for CNN Facial Expressions: Emotion Recognition P Singh, S Pandey, A Sharma, T Gupta 2023 International Conference on Sustainable Emerging Innovations in … , 2023 2023.0 Citations: 3
Blockchain-Enabled Land Registration System: A Comprehensive Review and Implementation Framework A Bisht, N Teotia, A Sharma, T Agarwal, S Pandey Available at SSRN 6422578 , 2026 2026.0
A Review on Federated Learning Approaches for Privacy-Preserving Mental Health Monitoring R Chandel, A Verma, N Goliyan, AA Zia, S Pandey 2025 2nd International Conference on Advanced Computing and Emerging … , 2025 2025.0
Oracles-Blockchain for Quotation Selection and Secure Healthcare Equipment Supply chain S Sharma, S Pandey, Y Sharma, R Khurana, V Rishiwal, L Pinjarkar 2025 7th International Conference on Information Systems and Computer … , 2025 2025.0
An Optimal Approach for Government Tender Code Extraction Through Extreme Multi-Label Text Classification P Sharma, P Pant, S Pandey International Conference on Smart Computing and Informatics, 342-353 , 2025 2025.0
Graph Based Automatic Text Summarization for Categorization of BBC News Articles P Singh, S Pandey, AD Lodhi, S Namdev, PK Mishra, SK Pandey 2025 2nd International Conference on Computational Intelligence … , 2025 2025.0
A Robust and Secure Image to Multi-Images Steganography P Singh, S Pandey, P Kumari, AS Chauhan, P Tomer 2023 IEEE International Conference on Contemporary Computing and … , 2023 2023.0
An Optimal Approach for Government Tender Code Extraction Through P Sharma, P Pant, S Pandey Smart Computing Paradigms: Intelligence and Network Applications … , 0
An Effective TDMA Based Routing for VANET to Reduce Delay S Pandey, A Kumar
