Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Malarvizhi Nandagopal

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Scientific Reports|September 27, 2024
A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learningKoteeswaran Seerangan, Malarvizhi Nandagopal, Tamilmani Govindaraju, et al.
Scientific Reports|May 4, 2024
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systemsMalarvizhi Nandagopal, Koteeswaran Seerangan, Tamilmani Govindaraju, et al.
Scientific Reports|September 15, 2024
Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring systemNalini Manogaran, Malarvizhi Nandagopal, Neeba Eralil Abi, et al.
Scientific Reports|August 8, 2024
Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time dataRaj Anand Sundaramoorthy, Antony Dennis Ananth, Koteeswaran Seerangan, et al.
Scientific Reports|September 4, 2024
ERABiLNet: enhanced residual attention with bidirectional long short-term memoryKoteeswaran Seerangan, Malarvizhi Nandagopal, Resmi R Nair, et al.
Sensors (Basel, Switzerland)|June 27, 2025
Federated Learning and EEL-Levy Optimization in CPS ShieldNet Fusion: A New Paradigm for Cyber-Physical SecurityNalini Manogaran, Yamini Bhavani Shankar, Malarvizhi Nandagopal, et al.
Diagnostics (Basel, Switzerland)|February 27, 2026
A Sophisticated Onscreen Smart Framework for Predicting Diabetes in Remote HealthcareKoteeswaran Seerangan, Premalatha Gunasekaran, Nithya Rekha Sivakumar, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientific Reports|September 27, 2024
A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learningKoteeswaran Seerangan, Malarvizhi Nandagopal, Tamilmani Govindaraju, et al.
Scientific Reports|May 4, 2024
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systemsMalarvizhi Nandagopal, Koteeswaran Seerangan, Tamilmani Govindaraju, et al.
Scientific Reports|September 15, 2024
Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring systemNalini Manogaran, Malarvizhi Nandagopal, Neeba Eralil Abi, et al.
Scientific Reports|August 8, 2024
Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time dataRaj Anand Sundaramoorthy, Antony Dennis Ananth, Koteeswaran Seerangan, et al.
Scientific Reports|September 4, 2024
ERABiLNet: enhanced residual attention with bidirectional long short-term memoryKoteeswaran Seerangan, Malarvizhi Nandagopal, Resmi R Nair, et al.
Sensors (Basel, Switzerland)|June 27, 2025
Federated Learning and EEL-Levy Optimization in CPS ShieldNet Fusion: A New Paradigm for Cyber-Physical SecurityNalini Manogaran, Yamini Bhavani Shankar, Malarvizhi Nandagopal, et al.
Diagnostics (Basel, Switzerland)|February 27, 2026
A Sophisticated Onscreen Smart Framework for Predicting Diabetes in Remote HealthcareKoteeswaran Seerangan, Premalatha Gunasekaran, Nithya Rekha Sivakumar, et al.
Pageof 1