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Ajith Sundaram

Publications -  6
Citations -  35

Ajith Sundaram is an academic researcher. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 2, co-authored 2 publications receiving 35 citations.

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Journal Article

The Changing Face Of Engineering Education In Kerala -An Empirical Study At Engineering Colleges In Kerala

TL;DR: In this article, the impact of age group, educational qualification, experience, extend of participation of faculty members and impact of career development programs on the quality of teaching of engineering education is investigated.
Journal Article

Transforming Collaborative Working in Educational Institutions with Groupware Technologies

TL;DR: Trends in Technology enable the provision of increasing traffic capacity and the support of a wide range of service in any business or a service relay on information technology.
Journal ArticleDOI

An Energy Efficient and Cost Reduction based Hybridization Scheme for Mobile Ad-hoc Networks (MANET) over the Internet of Things (IoT)

TL;DR: In this paper , the energy-mindfulness element is added to the LEAR guiding convention in this work using the Binary Particle Swarm Optimization method (BPSO) and the recommended method selects programmes taking into account course length in addition to the programme level of energy when predicting the future.
Proceedings ArticleDOI

Human Activity Recognition with Anomaly Prediction for E-Health Systems using Lightweight AI

TL;DR: In this article , the Fourier and wavelet domains were used to depict raw data alongside the time domain, and the learned model's applicability was evaluated in real time on a PC and a smartphone.
Journal ArticleDOI

Modernized Wildlife Surveillance and Behaviour Detection using a Novel Machine Learning Algorithm

TL;DR: In this paper , the authors designed a novel wildlife surveillance framework using DCNN for accurate prediction of animals and enhance the performance of detection accuracy, the executed research work is implemented in the python tool and 2700 sample input frame datasets are tested and trained to the system.