Search Results - "Anandamurugan, S"

Internet of Things

Authors: Anandamurugan, S P S Nandhini

Resource Type: eBook.

Subjects: Internet of things

Categories: REFERENCE / General

Cloud Computing : An Innovative Technology for Linux and Android Platforms

Authors: Anandamurugan, S. Priyaa, T. Babu, M.C. Arvind

Resource Type: eBook.

Subjects: Operating systems (Computers)

Categories: COMPUTERS / Distributed Systems / Cloud Computing

Wireless Networks

Authors: Anandamurugan, S. Nandhini, P. S.

Resource Type: eBook.

Subjects: Wireless sensor networks

Categories: COMPUTERS / Machine Theory, COMPUTERS / Computer Literacy, COMPUTERS / Computer Science, COMPUTERS / Data Science / General, COMPUTERS / Information Technology, COMPUTERS / Reference, COMPUTERS / Hardware / General

Energy and time-aware scheduling in diverse virtualized cloud computing environments using optimized self-attention progressive generative adversarial network.

Authors: Senthilkumar, G. Anandamurugan, S.

Source: Network: Computation in Neural Systems; May2025, Vol. 36 Issue 2, p274-293, 20p

C Programming for Juniors

Authors: Anandamurugan, S.

Resource Type: eBook.

Subjects: C (Computer program language)

Categories: COMPUTERS / Languages / C

Enhancement of energy utilization efficiency and speed control of autonomous electric vehicles (AEVs): A hybrid approach.

Authors: Raguvaran, S. Anandamurugan, S.

Source: Energy Efficiency (1570646X). Aug2024, Vol. 17 Issue 6, p1-25. 25p.

Hybrid deep learning with a fusion model of weather and soil-based multi-crop recommendations for improving crop sustainability.

Authors: M, Mohan Anandamurugan, S.

Source: Theoretical & Applied Climatology. Nov2025, Vol. 156 Issue 11, p1-25. 25p.

A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease.

Authors: Thangaraj, Rajasekaran Pandiyan, P. Anandamurugan, S. et al.

Source: Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 7, p18803-18827, 25p

An power and bound-aware optimised scheduler for virtualized cloud computing.

Authors: Senthil Kumar, K. Anandamurugan, S.

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 5, p8335-8348, 14p

Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement.

Authors: M., Mohan Anandamurugan, S.

Source: Cognitive Computation; Feb2025, Vol. 17 Issue 1, p1-17, 17p

High Utility Itemset Extraction using PSO with Online Control Parameter Calibration.

Authors: Logeswaran, K. Suresh, P. Anandamurugan, S. et al.

Source: International Journal of Next-Generation Computing; Mar2024, Vol. 15 Issue 1, p37-51, 15p

Adaptive optimization with reinforcement learning for high utility itemset extraction.

Authors: Logeswaran, K Suresh, P Savitha, S et al.

Source: Knowledge-Based Systems; Jan2026, Vol. 331, pN.PAG-N.PAG, 1p

Mobility Aware Zone-Based Routing in Vehicle Ad hoc Networks Using Hybrid Metaheuristic Algorithm.

Authors: Nandagopal, C. Kumar, P. Siva Rajalakshmi, R. et al.

Source: Intelligent Automation & Soft Computing; 2023, Vol. 36 Issue 1, p113-126, 14p

Antipredator Adaptation Shuffled Frog Leap Algorithm to Improve Network Life Time in Wireless Sensor Network.

Authors: Anandamurugan, S. Abirami, T.

Source: Wireless Personal Communications; Jun2017, Vol. 94 Issue 4, p2031-2042, 12p

Data Aggregation in Wireless Sensor Network Using Shuffled Frog Algorithm.

Authors: Abirami, T. Anandamurugan, S.

Source: Wireless Personal Communications; Sep2016, Vol. 90 Issue 2, p537-549, 13p

Harnessing LSTM Classifier to Suggest Nutrition Diet for Cancer Patients.

Authors: Raguvaran, S. Anandamurugan, S. Zubair Rahman, A. M. J. Md.

Source: Intelligent Automation & Soft Computing; 2023, Vol. 35 Issue 2, p2171-2187, 17p

Particle Swarm Optimization Method Combined with off Policy Reinforcement Learning Algorithm for the Discovery of High Utility Itemset.

Authors: Logeswaran, K. Suresh, P. Anandamurugan, S.

Source: Information Technology & Control; 2023, Vol. 52 Issue 1, p25-36, 12p

Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion.

Authors: Thangaraj, Rajasekaran Anandamurugan, S. Pandiyan, P et al.

Source: Journal of Plant Diseases & Protection. Jun2022, Vol. 129 Issue 3, p469-488. 20p.

Reducing Power Consumption in Wireless Sensor Networks by using Terrain Based Probabilistic Forwarding Scheme (TBPFS).

Authors: Anandamurugan, S. Venkatesh, C.

Source: Computer Science & Telecommunications; 2010, Vol. 27 Issue 4, p3-15, 13p, 3 Color Photographs, 3 Charts, 1 Graph

Automated tomato leaf disease classification using transfer learning-based deep convolution neural network.

Authors: Thangaraj, Rajasekaran Anandamurugan, S. Kaliappan, Vishnu Kumar

Source: Journal of Plant Diseases & Protection. Feb2021, Vol. 128 Issue 1, p73-86. 14p.