A study on media players from an accessibility perspective Muralidhar Pantula International Journal of Computer Aided Engineering and Technology, 2023 Despite the growth of media content on the web, the necessity of a user-agent that renders media content is becoming prominent. Considering the needs of persons with disability, WAI recommended guidelines on how web content is to be specified. Along with user-agents playing a major role in making inaccessible content accessible, the user-agents must ensure the web content must be accessible to all users by providing the requirements through its interface and by communicating with other assistive technologies. In this paper, we have seen the problems for the persons with disabilities. We have studied the media players which are recently developed and in what way they followed the guidelines to make the content accessible to users. We designed an estimated metric based on the requirements identified from the guidelines issued in WAI. Using these metrics, we have calculated the accessibility score of each player and concluded that the most improvement is in video player designs.
A Machine Learning-Based Model to Evaluate Readability and Assess Grade Level for the Web Pages Muralidhar Pantula, K S Kuppusamy Computer Journal, 2022 Evaluating readability of web documents has gained attention due to several factors such as improving the effectiveness of writing and to reach a wider spectrum of audience. Current practices in this direction follow several statistical measures in evaluating readability of the document. In this paper, we have proposed a machine learning-based model to compute readability of web pages. The minimum educational standards required (grade level) to understand the contents of a web page are also computed. The proposed model classifies the web pages into highly readable, readable or less readable using specified feature set. To classify a web page with the aforementioned categories, we have incorporated the features such as sentence count, word count, syllable count, type-token ratio and lexical ambiguity. To increase the usability of the proposed model, we have developed an accessible browser extension to perform the assessments of every web page loaded into the browser.
A metric to assess the readability of video closed captions for the persons with low literacy skills Muralidhar Pantula, K S Kuppusamy Computer Journal, 2020 The power of the WWW (World Wide Web) lies in the adoption of multiple types of media, which makes effective communication of content. Videos have emerged into a quick and efficient information delivery channel for users. To make a video accessible to persons with disabilities, several approaches have been proposed, which include various accessibility features such as closed captions and video descriptions. Captioning agencies use English as a primary language for creating captions, which cause problems for persons with low literacy skills. Ambiguity in the video affects the persons with low literacy skills and senior citizens and it leads them to consume more time in identifying/capturing the intended meaning. As the closed captions run along with the video frame, the comprehension is an issue. For predicting the readability assessment of closed captions for persons with low literacy skills, we developed a statistical formula based on the lexical and semantical ambiguity of the context. As a case study, caption files of top 50 English movies (as per IMDB top rated movies chart) were chosen and their readability scores were calculated. In addition, a machine learning model was developed using the ambiguity feature set in assessing the readability score of the closed captions. The result shows, our model is predicting the readability score with an accuracy of 92.6%.
Analyzing User Awareness on Security in Android Smartphone Devices Aedunuri Sambaraju, Muralidhar Pantula, K. S. Kuppusamy Lecture Notes on Data Engineering and Communications Technologies, 2020 Today’s Digital World is evolving rapidly and the smartphone usage has became mandatory. People use smartphones to get services like email, education, business, social communication, etc. For each service category, there are plenty of applications (Apps) available in the market. Along with Apps usage, it is obvious that a user need knowledge on securing devices and private data. We analyzed Naive Android Smartphone Users (ASUs) on different Security Areas where awareness is in need to secure the device as well as the data. The responses indicates that majority of the participants have a fear of Malicious Attacks on their private data, business information and financial transactions.
AuDIVA: A tool for embedding Audio Descriptions to enhance Video Accessibility for Persons with Visual Impairments Muralidhar Pantula, K. S. Kuppusamy Multimedia Tools and Applications, 2019 Inclusion of online videos on a website attracts a large number of audience because of its ease of perception. Even though rendering videos on the web is advantageous, persons with disabilities face difficulties in accessing the content. Web Content Accessibility Guidelines (WCAG) has recommended closed captions for persons with hearing problems and Audio descriptions for the persons with visual problems, to remove the barriers in making the video content accessible. In this paper, we have incorporated a technique called Narrating the scene before the act. With this, persons with visual impairments will get a proper understanding of the context of the scene and they will be in a better position to easily grasp the content. We have designed a tool, entitled AuDIVA (Audio Description Inserter for Video Accessibility) which will insert the audio descriptions before the scene in the video at specified intervals. A survey conducted shows that the technique eases tasks for web developers to provide audio descriptions in the video.
Human Centric Security: Human Behavior Analysis Based on GenAI P Muralidhar, CR Ramesh, VS Vadapalli, BL Madhuri Generative Artificial Intelligence for Next‐Generation Security Paradigms … , 2026 2026
Introduction to Generative Artificial Intelligence CR Ramesh, P Muralidhar, KMVM Kumar, B Srinu, GR Vikram, R Nayak Generative Artificial Intelligence for Next‐Generation Security Paradigms, 1-24 , 2026 2026
Designing Sparse Graph Neural Networks for Real-Time Topological Reconfiguration in Smart Grids RCB Dr. Selvi Khajanchi, Pantula Muralidhar, Dr.P.Dhanalakshmi,"Dr K Madan ... Musik in Bayern 90 (8), 17-27 , 2025 2025
Soft Computing Based Multi-View High Dimensional Data Clustering Algorithm for Big Data. RR CHUNDRU, R Nayak, V JAGANNATHAN, P Muralidhar Journal of Information Science & Engineering 41 (4) , 2025 2025
Fire and Smoke Detection Algorithm Using YOLOv8 and YOLO v5x6 B Bhuvaneshwari, P Muralidhar, CR Ramesh, K Ashok, D Ashrith 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing … , 2025 2025
Classification Of Opioid Patients Based On Drug Usage Using Machine Learning CR Ramesh, A Sumanjali, A Shreya, D SaiPraneeth, PM Sharma 2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024 2024
A Longitudinal And Domain Wise Survey On MIMIC III Dataset CRRPMKMVMKSBMKMRC Kumar Frontiers in Health Informatics 13 (8 (2024)) , 2024 2024
An autonomous vacuum robot for floor cleaning and waste disposal using artificial intelligence in industrial manufacturing T Nagaraju, TN Chitti, M Pantula 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING, MATERIAL SCIENCE AND … , 2023 2023
Survey on version control system: Research perspective A Mahalakshmi, M Pantula, B Shirisha 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING, MATERIAL SCIENCE AND … , 2023 2023 Citations: 1
Public pulse detection using deep learning techniques M Pantula, A Mahalakshmi, T Nagaraju 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING, MATERIAL SCIENCE AND … , 2023 2023
Assessment on multiple aspects of online book recommendation systems A Penugonda, M Pantula Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES … , 2023 2023 Citations: 2
A study on media players from an accessibility perspective M Pantula International Journal of Computer Aided Engineering and Technology 18 (4 … , 2023 2023 Citations: 2
Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis T Anwar, V Uma, MI Hussain, M Pantula Multimedia tools and applications 81 (25), 35693-35711 , 2022 2022 Citations: 92
A machine learning-based model to evaluate readability and assess grade level for the web pages M Pantula, KS Kuppusamy The Computer Journal 65 (4), 831-842 , 2022 2022 Citations: 21
A metric to assess the readability of video closed captions for the persons with low literacy skills M Pantula, KS Kuppusamy The Computer Journal 63 (7), 1063-1075 , 2020 2020 Citations: 5
Second International Conference on Computer Networks and Communication Technologies: ICCNCT 2019 S Smys, T Senjyu, P Lafata Springer Nature , 2020 2020 Citations: 6
AuDIVA: A tool for embedding audio descriptions to enhance video accessibility for persons with visual impairments M Pantula, KS Kuppusamy Multimedia Tools and Applications 78 (14), 20005-20018 , 2019 2019 Citations: 10
Analyzing user awareness on security in android smartphone devices A Sambaraju, M Pantula, KS Kuppusamy International Conference on Computer Networks and Inventive Communication … , 2019 2019 Citations: 2
Engineering Vibration, Communication and Information Processing: ICoEVCI 2018, India K Ray, SN Sharan, S Rawat, SK Jain, S Srivastava, A Bandyopadhyay Springer , 2019 2019 Citations: 19
Fast Captions: Towards Making the Video Content Consumption Quicker M Pantula, KS Kuppusamy Computers in Entertainment (CIE) 16 (4), 1-13 , 2018 2018
MOST CITED SCHOLAR PUBLICATIONS
Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis T Anwar, V Uma, MI Hussain, M Pantula Multimedia tools and applications 81 (25), 35693-35711 , 2022 2022 Citations: 92
A machine learning-based model to evaluate readability and assess grade level for the web pages M Pantula, KS Kuppusamy The Computer Journal 65 (4), 831-842 , 2022 2022 Citations: 21
Engineering Vibration, Communication and Information Processing: ICoEVCI 2018, India K Ray, SN Sharan, S Rawat, SK Jain, S Srivastava, A Bandyopadhyay Springer , 2019 2019 Citations: 19
AuDIVA: A tool for embedding audio descriptions to enhance video accessibility for persons with visual impairments M Pantula, KS Kuppusamy Multimedia Tools and Applications 78 (14), 20005-20018 , 2019 2019 Citations: 10
Second International Conference on Computer Networks and Communication Technologies: ICCNCT 2019 S Smys, T Senjyu, P Lafata Springer Nature , 2020 2020 Citations: 6
A metric to assess the readability of video closed captions for the persons with low literacy skills M Pantula, KS Kuppusamy The Computer Journal 63 (7), 1063-1075 , 2020 2020 Citations: 5
Assessment on multiple aspects of online book recommendation systems A Penugonda, M Pantula Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES … , 2023 2023 Citations: 2
A study on media players from an accessibility perspective M Pantula International Journal of Computer Aided Engineering and Technology 18 (4 … , 2023 2023 Citations: 2
Analyzing user awareness on security in android smartphone devices A Sambaraju, M Pantula, KS Kuppusamy International Conference on Computer Networks and Inventive Communication … , 2019 2019 Citations: 2
A model to measure readability of captions with temporal dimension M Pantula, KS Kuppusamy Proceedings of First International Conference on Smart System, Innovations … , 2018 2018 Citations: 2
Survey on version control system: Research perspective A Mahalakshmi, M Pantula, B Shirisha 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING, MATERIAL SCIENCE AND … , 2023 2023 Citations: 1
CORDIF: A Machine Learning-Based Approach to Identify Complex Words Using Intra-word Feature Set M Pantula, KS Kuppusamy Engineering Vibration, Communication and Information Processing: ICoEVCI … , 2018 2018 Citations: 1
Enhancement of Stream Ciphers Security Using DNA B Ramesh, SA Bhavani, P Muralidhar Proceedings of the Second International Conference on Computer and … , 2015 2015 Citations: 1
Human Centric Security: Human Behavior Analysis Based on GenAI P Muralidhar, CR Ramesh, VS Vadapalli, BL Madhuri Generative Artificial Intelligence for Next‐Generation Security Paradigms … , 2026 2026
Introduction to Generative Artificial Intelligence CR Ramesh, P Muralidhar, KMVM Kumar, B Srinu, GR Vikram, R Nayak Generative Artificial Intelligence for Next‐Generation Security Paradigms, 1-24 , 2026 2026
Designing Sparse Graph Neural Networks for Real-Time Topological Reconfiguration in Smart Grids RCB Dr. Selvi Khajanchi, Pantula Muralidhar, Dr.P.Dhanalakshmi,"Dr K Madan ... Musik in Bayern 90 (8), 17-27 , 2025 2025
Soft Computing Based Multi-View High Dimensional Data Clustering Algorithm for Big Data. RR CHUNDRU, R Nayak, V JAGANNATHAN, P Muralidhar Journal of Information Science & Engineering 41 (4) , 2025 2025
Fire and Smoke Detection Algorithm Using YOLOv8 and YOLO v5x6 B Bhuvaneshwari, P Muralidhar, CR Ramesh, K Ashok, D Ashrith 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing … , 2025 2025
Classification Of Opioid Patients Based On Drug Usage Using Machine Learning CR Ramesh, A Sumanjali, A Shreya, D SaiPraneeth, PM Sharma 2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024 2024
A Longitudinal And Domain Wise Survey On MIMIC III Dataset CRRPMKMVMKSBMKMRC Kumar Frontiers in Health Informatics 13 (8 (2024)) , 2024 2024
