activity
20202024
most citedBlended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

161 citations · 644 across the 19 of their papers we have counts for

collaborators

19 papers

cs.HC2024★ 11 cited

Spatial Computing: Concept, Applications, Challenges and Future Directions

Gokul Yenduri, Ramalingam M, Praveen Kumar Reddy Maddikunta +8

Spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment, resulting in a more natural and intuitive digit…

cs.CR2023★ 2 cited

A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems

Ramalingam M, Chemmalar Selvi, Nancy Victor +8

Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors.The ability of BC can help in offering decentralized and secure…

cs.CL2023★ 64 cited

Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Gokul Yenduri, Ramalingam M, Chemmalar Selvi G +9

The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machin…

cs.CY2023★ 13 cited

A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions

Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya +7

Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learn…

cs.AI2022★ 43 cited

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

Rajeswari Chengoden, Nancy Victor, Thien Huynh-The +7

The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment…

cs.LG2022★ 12 cited

Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities

Nancy Victor, Rajeswari. C, Mamoun Alazab +5

Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade with applications spanning from environmental monitoring and exploration, defence applications,…

cs.NI2022★ 6 cited

Autonomous Vehicles in 5G and Beyond: A Survey

Saqib Hakak, Thippa Reddy Gadekallu, Swarna Priya Ramu +4

Fifth Generation (5G) technology is an emerging and fast adopting technology which is being utilized in most of the novel applications that require highly reliable low-latency comm…

cs.CR2022★ 59 cited

XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions

Gautam Srivastava, Rutvij H Jhaveri, Sweta Bhattacharya +7

In the past few years, artificial intelligence (AI) techniques have been implemented in almost all verticals of human life. However, the results generated from the AI models often…

cs.AI2021★ 66 cited

Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning

Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab +3

Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence. FL has the capability of re…

cs.CR2021★ 5 cited

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi +5

The rapid development of the Internet and smart devices trigger surge in network traffic making its infrastructure more complex and heterogeneous. The predominated usage of mobile…

cs.AI2021★ 34 cited

Genetically Optimized Prediction of Remaining Useful Life

Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava +2

The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation. The existing RUL pred…

cs.LG2021

Roughsets-based Approach for Predicting Battery Life in IoT

Rajesh Kaluri, Dharmendra Singh Rajput, Qin Xin +4

Internet of Things (IoT) and related applications have successfully contributed towards enhancing the value of life in this planet. The advanced wireless sensor networks and its re…

cs.CY2020★ 38 cited

An Incentive Based Approach for COVID-19 using Blockchain Technology

Manoj MK, Gautam Srivastava, Siva Rama Krishnan Somayaji +3

The current situation of COVID-19 demands novel solutions to boost healthcare services and economic growth. A full-fledged solution that can help the government and people retain t…

cs.LG2020★ 51 cited

Multiclass Model for Agriculture development using Multivariate Statistical method

N Deepa, Mohammad Zubair Khan, Prabadevi B +3

Mahalanobis taguchi system (MTS) is a multi-variate statistical method extensively used for feature selection and binary classification problems. The calculation of orthogonal arra…

cs.CY2020★ 10 cited

The Adoption of ICT Powered Healthcare Technologies towards Managing Global Pandemics

Navod Neranjan Thilakarathne, Mohan Krishna Kagita, Thippa Reddy Gadekallu +1

Pandemic is an outbreak that happens over a large geographic area affecting a greater portion of the population as new pathogens appear for which people have less immune and no vac…

cs.CY2020★ 1 cited

A Review on Cyber Crimes on the Internet of Things

Mohan Krishna Kagita, Navod Thilakarathne, Thippa Reddy Gadekallu +2

Internet of Things (IoT) devices are rapidly becoming universal. The success of IoT cannot be ignored in the scenario today, along with its attacks and threats on IoT devices and f…

cs.CY2020★ 8 cited

A Review on Security and Privacy of Internet of Medical Things

Mohan Krishna Kagita, Navod Thilakarathne, Thippa Reddy Gadekallu +1

The Internet of Medical Things (IoMT) are increasing the accuracy, reliability, and the production capability of electronic devices by playing a very important part in the industry…

cs.CR2020★ 60 cited

A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions

Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen +6

Big data has generated strong interest in various scientific and engineering domains over the last few years. Despite many advantages and applications, there are many challenges in…

eess.IV2020★ 161 cited

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

J. D. Bodapati, N. Veeranjaneyulu, S. N. Shareef +4

Diabetic Retinopathy (DR) is one of the major causes of visual impairment and blindness across the world. It is usually found in patients who suffer from diabetes for a long period…