K. Venkatachalam

According to our database, K. Venkatachalam authored at least 43 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Optimized deep learning networks for accurate identification of cancer cells in bone marrow.

Venkatachalam Kandasamy, Vladimir Simic, Nebojsa Bacanin, Dragan Pamucar

Neural Networks, 2025

2024

Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm.

Mojtaba Ghasemi, Mohsen Zare, Pavel Trojovský, Ravipudi Venkata Rao, Eva Trojovská, Venkatachalam Kandasamy

Knowl. Based Syst., 2024

Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models.

Aleksandar Petrovic, Luka Jovanovic, K. Venkatachalam, Miodrag Zivkovic, Nebojsa Bacanin, Nebojsa Budimirovic

Int. J. Hybrid Intell. Syst., 2024

2023

Text Document Clustering Approach by Improved Sine Cosine Algorithm.

Branislav Radomirovic, Vuk Jovanovic, Bosko Nikolic, Sasa Stojanovic, K. Venkatachalam, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin, Ivana Strumberger

Inf. Technol. Control., July, 2023

Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers.

K. Venkatachalam, Zaoli Yang, Pavel Trojovský, Nebojsa Bacanin, Muhammet Deveci, Weiping Ding

Inf. Sci., May, 2023

A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset.

Nebojsa Bacanin, K. Venkatachalam, Timea Bezdan, Miodrag Zivkovic, Mohamed Abouhawwash

Microprocess. Microsystems, April, 2023

Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes.

Nebojsa Bacanin, Milos Antonijevic, Timea Bezdan, Miodrag Zivkovic, K. Venkatachalam, Sharaf J. Malebary

Clust. Comput., February, 2023

The Evolution of Interindustry Technology Linkage Topics and Its Analysis Framework in Three-Dimensional Printing Technology.

Zaoli Yang, Nazrul Islam, Yuanyuan Shi, K. Venkatachalam, Lucheng Huang

IEEE Trans. Engineering Management, 2023

VIOLA jones algorithm with capsule graph network for deepfake detection.

K. Venkatachalam, Pavel Trojovský, Stepán Hubálovský

PeerJ Comput. Sci., 2023

DeepFND: an ensemble-based deep learning approach for the optimization and improvement of fake news detection in digital platform.

Venkatachalam K, Badriyya Alonazi, Vladimir Simic, Erfan Babaee Tirkolaee, Chiranjibe Jana

PeerJ Comput. Sci., 2023

Wall segmentation in 2D images using convolutional neural networks.

Mihailo Bjekic, Ana Lazovic, Venkatachalam K, Nebojsa Bacanin, Miodrag Zivkovic, Goran S. Kvascev, Bosko Nikolic

PeerJ Comput. Sci., 2023

Machine learning based IoT system for secure traffic management and accident detection in smart cities.

Saravana Balaji Balasubramanian, Prasanalakshmi Balaji, Asmaa Munshi, Wafa Almukadi, T. N. Prabhu, Venkatachalam K, Mohamed Abouhawwash

PeerJ Comput. Sci., 2023

Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks.

Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Venkatachalam Kandasamy, Milos Antonijevic, Muhammet Deveci, Ivana Strumberger

Inf. Sci., 2023

A new method for human activity identification using convolutional neural networks.

P. S. Prakash, S. Balakrishnan, K. Venkatachalam, Saravana Balaji Balasubramanian

Int. J. Cloud Comput., 2023

Novel task assignment policies using enhanced hyper-heuristic approach in cloud.

N. Krishnamoorthy, K. Venkatachalam, R. Manikandan, P. Prabhu

Int. J. Cloud Comput., 2023

DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (<i>T</i>-LSTM).

K. Venkatachalam, Pavel Trojovský, Dragan Pamucar, Nebojsa Bacanin, Vladimir Simic

Expert Syst. Appl., 2023

Neural Cryptography with Fog Computing Network for Health Monitoring Using IoMT.

G. Ravikumar, K. Venkatachalam, Mohammed A. Alzain, Mehedi Masud, Mohamed Abouhawwash

Comput. Syst. Sci. Eng., 2023

Proof of Activity Protocol for IoMT Data Security.

R. Rajadevi, K. Venkatachalam, Mehedi Masud, Mohammed A. Alzain, Mohamed Abouhawwash

Comput. Syst. Sci. Eng., 2023

Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT.

S. Siamala Devi, K. Venkatachalam, Yunyoung Nam, Mohamed Abouhawwash

Comput. Syst. Sci. Eng., 2023

2022

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification.

Miodrag Zivkovic, Milan Tair, Venkatachalam K, Nebojsa Bacanin, Stepán Hubálovský, Pavel Trojovský

PeerJ Comput. Sci., 2022

Deep learning model for deep fake face recognition and detection.

S. T. Suganthi, Mohamed Uvaze Ahamed Ayoobkhan, Krishna Kumar V, Nebojsa Bacanin, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský

PeerJ Comput. Sci., 2022

Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN.

Venkatachalam Kandasamy, Stepán Hubálovský, Pavel Trojovský

PeerJ Comput. Sci., 2022

Evaluation of deepfake detection using YOLO with local binary pattern histogram.

Stepán Hubálovský, Pavel Trojovský, Nebojsa Bacanin, K. Venkatachalam

PeerJ Comput. Sci., 2022

Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection.

Saravana Balaji Balasubramanian, Jagadeesh Kannan R, Prabu P, Venkatachalam K, Pavel Trojovský

PeerJ Comput. Sci., 2022

Modified firefly algorithm for workflow scheduling in cloud-edge environment.

Nebojsa Bacanin, Miodrag Zivkovic, Timea Bezdan, K. Venkatachalam, Mohamed Abouhawwash

Neural Comput. Appl., 2022

Deep Belief Neural Network for 5G Diabetes Monitoring in Big Data on Edge IoT.

K. Venkatachalam, P. Prabu, Ala Saleh D. Alluhaidan, Stepán Hubálovský, Pavel Trojovský

Mob. Networks Appl., 2022

Smart Edge Computing for 5 g/6 g Satellite IOT for Reducing Inter Transmission Delay.

Amin Salih Mohammed, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský, P. Prabu

Mob. Networks Appl., 2022

Brain Image Classification Using Time Frequency Extraction with Histogram Intensity Similarity.

Thangavel Renukadevi, Kuppusamy Saraswathi, P. Prabu, K. Venkatachalam

Comput. Syst. Sci. Eng., 2022

Ensemble Nonlinear Support Vector Machine Approach for Predicting Chronic Kidney Diseases.

S. Prakash, P. Vishnu Raja, A. Baseera, D. Mansoor Hussain, V. R. Balaji, K. Venkatachalam

Comput. Syst. Sci. Eng., 2022

Machine Learning Technique to Detect Radiations in the Brain.

Gothai Ekambaram, A. Baseera, P. Prabu, K. Venkatachalam, K. Saravanan, S. Sathishkumar

Comput. Syst. Sci. Eng., 2022

A multi-criteria framework for addressing digitalization solutions of medical system under interval-valued T-spherical fuzzy information.

Zaoli Yang, Tingting Zhang, Harish Garg, K. Venkatachalam

Appl. Soft Comput., 2022

An Edge Based Attack Detection Model (EBAD) for Increasing the Trustworthiness in IoT Enabled Smart City Environment.

R. I. Minu, G. Nagarajan, Asmaa Munshi, K. Venkatachalam, Wafa Almukadi, Mohamed Abouhawwash

IEEE Access, 2022

2021

Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme.

Venkatachalam Kandasamy, Pavel Trojovský, Fadi Al Machot, Kyandoghere Kyamakya, Nebojsa Bacanin, Sameh S. Askar, Mohamed Abouhawwash

Sensors, 2021

Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design.

Jameer Basha, Nebojsa Bacanin, Nikola Vukobrat, Miodrag Zivkovic, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský

Sensors, 2021

Secure biometric authentication with de-duplication on distributed cloud storage.

M. Vinoth Kumar, K. Venkatachalam, Prabu P, Abdulwahab Almutairi, Mohamed Abouhawwash

PeerJ Comput. Sci., 2021

Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade.

Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Fadi Al-Turjman

J. Real Time Image Process., 2021

An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI.

K. Venkatachalam, Siuly Siuly, Nebojsa Bacanin, Stepán Hubálovský, Pavel Trojovský

IEEE Access, 2021

Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm.

Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Miodrag Zivkovic, Ivana Strumberger, Mohamed Abouhawwash, Abeer B. Ahmed

IEEE Access, 2021

Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP - EffUnet Classification.

K. Venkatachalam, Nebojsa Bacanin, Md. Enamul Kabir, P. Prabu

Proceedings of the Health Information Science - 10th International Conference, 2021

2020

Combining statistical models using modified spectral subtraction method for embedded system.

V. R. Balaji, S. Maheswaran, M. Rajesh Babu, M. Kowsigan, E. Prabhu, Venkatachalam K

Microprocess. Microsystems, 2020

FCO - Fuzzy constraints applied Cluster Optimization technique for Wireless AdHoc Networks.

Amin Salih Mohammed, Saravana Balaji B., M. S. Saleem Basha, Asha P. N, Venkatachalam K

Comput. Commun., 2020

Energy efficient data collection in sparse sensor networks using multiple Mobile Data Patrons.

P. Prabu, Ahmed Najat Ahmed, K. Venkatachalam, S. Nalini, R. Manikandan

Comput. Electr. Eng., 2020

A novel method of motor imagery classification using eeg signal.

K. Venkatachalam, Devipriya A., Maniraj J., M. Sivaram, A. Ambikapathy, Iraj Sadegh Amiri

Artif. Intell. Medicine, 2020