A novel method of motor imagery classification using eeg signal. - K. Venkatachalam 001; Devipriya A.; Maniraj J.; M. Sivaram 001; A. Ambikapathy; Iraj Sadegh Amiri (Artif. Intell. Medicine, 2020)

Energy efficient data collection in sparse sensor networks using multiple Mobile Data Patrons. - P. Prabu 001; Ahmed Najat Ahmed; K. Venkatachalam 001; S. Nalini; R. Manikandan (Comput. Electr. Eng., 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 001 (Comput. Commun., 2020)

Combining statistical models using modified spectral subtraction method for embedded system. - V. R. Balaji; S. Maheswaran 001; M. Rajesh Babu; M. Kowsigan; E. Prabhu; Venkatachalam K 001 (Microprocess. Microsystems, 2020)

Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP - EffUnet Classification. - K. Venkatachalam 001; Nebojsa Bacanin; Md. Enamul Kabir; P. Prabu 001 (HIS, 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 001; Miodrag Zivkovic; Ivana Strumberger; Mohamed Abouhawwash; Abeer B. Ahmed (IEEE Access, 2021)

An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI. - K. Venkatachalam 001; Siuly Siuly; Nebojsa Bacanin; Stepán Hubálovský; Pavel Trojovský (IEEE Access, 2021)

Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade. - Nebojsa Bacanin; Timea Bezdan; K. Venkatachalam 001; Fadi Al-Turjman 001 (J. Real Time Image Process., 2021)

Secure biometric authentication with de-duplication on distributed cloud storage. - M. Vinoth Kumar; K. Venkatachalam 001; Prabu P 001; Abdulwahab Almutairi; Mohamed Abouhawwash (PeerJ Comput. Sci., 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 001; Stepán Hubálovský; Pavel Trojovský (Sensors, 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)

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 001; Wafa Almukadi; Mohamed Abouhawwash (IEEE Access, 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 001 (Appl. Soft Comput., 2022)

Machine Learning Technique to Detect Radiations in the Brain. - Gothai Ekambaram; A. Baseera; P. Prabu 001; K. Venkatachalam 001; K. Saravanan; S. Sathishkumar (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 001 (Comput. Syst. Sci. Eng., 2022)

Brain Image Classification Using Time Frequency Extraction with Histogram Intensity Similarity. - Thangavel Renukadevi; Kuppusamy Saraswathi; P. Prabu 001; K. Venkatachalam 001 (Comput. Syst. Sci. Eng., 2022)

Novel Dynamic Scaling Algorithm for Energy Efficient Cloud Computing. - M. Vinoth Kumar; K. Venkatachalam 001; Mehedi Masud; Mohamed Abouhawwash (Intell. Autom. Soft Comput., 2022)

Shrinkage Linear with Quadratic Gaussian Discriminant Analysis for Big Data Classification. - R. S. Latha; K. Venkatachalam 001; Jehad F. Al-Amri; Mohamed Abouhawwash (Intell. Autom. Soft Comput., 2022)

Crypto Hash Based Malware Detection in IoMT Framework. - R. Punithavathi; K. Venkatachalam 001; Mehedi Masud; Mohammed A. Alzain; Mohamed Abouhawwash (Intell. Autom. Soft Comput., 2022)

Air Pollution Prediction Using Dual Graph Convolution LSTM Technique. - R. Saravana Ram; K. Venkatachalam 001; Mehedi Masud; Mohammed Abdullatif Alzain (Intell. Autom. Soft Comput., 2022)

Cost Efficient Scheduling Using Smart Contract Cognizant Ethereum for IoMT. - G. Ravikumar; K. Venkatachalam 001; Mehedi Masud; Mohamed Abouhawwash (Intell. Autom. Soft Comput., 2022)

Extreme Learning Bat Algorithm in Brain Tumor Classification. - G. R. Sreekanth; Adel Fahad Alrasheedi; K. Venkatachalam 001; Mohamed Abouhawwash; Sameh S. Askar (Intell. Autom. Soft Comput., 2022)

Smart Edge Computing for 5 g/6 g Satellite IOT for Reducing Inter Transmission Delay. - Amin Salih Mohammed; K. Venkatachalam 001; Stepán Hubálovský; Pavel Trojovský; P. Prabu 001 (Mob. Networks Appl., 2022)

Deep Belief Neural Network for 5G Diabetes Monitoring in Big Data on Edge IoT. - K. Venkatachalam 001; P. Prabu 001; Ala Saleh D. Alluhaidan; Stepán Hubálovský; Pavel Trojovský (Mob. Networks Appl., 2022)

Modified firefly algorithm for workflow scheduling in cloud-edge environment. - Nebojsa Bacanin; Miodrag Zivkovic; Timea Bezdan; K. Venkatachalam 001; Mohamed Abouhawwash (Neural Comput. Appl., 2022)

Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection. - Saravana Balaji Balasubramanian; Jagadeesh Kannan R; Prabu P 001; Venkatachalam K 001; 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 001 (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)

Deep learning model for deep fake face recognition and detection. - S. T. Suganthi; Mohamed Uvaze Ahamed Ayoobkhan; Krishna Kumar V; Nebojsa Bacanin; K. Venkatachalam 001; Stepán Hubálovský; Pavel Trojovský (PeerJ Comput. Sci., 2022)

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification. - Miodrag Zivkovic; Milan Tair; Venkatachalam K 001; Nebojsa Bacanin; Stepán Hubálovský; Pavel Trojovský (PeerJ Comput. Sci., 2022)

Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT. - S. Siamala Devi; K. Venkatachalam 001; Yunyoung Nam; Mohamed Abouhawwash (Comput. Syst. Sci. Eng., 2023)

Proof of Activity Protocol for IoMT Data Security. - R. Rajadevi 001; K. Venkatachalam 001; Mehedi Masud; Mohammed A. Alzain; Mohamed Abouhawwash (Comput. Syst. Sci. Eng., 2023)

Neural Cryptography with Fog Computing Network for Health Monitoring Using IoMT. - G. Ravikumar; K. Venkatachalam 001; Mohammed A. Alzain; Mehedi Masud; Mohamed Abouhawwash (Comput. Syst. Sci. Eng., 2023)

DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (T-LSTM). - K. Venkatachalam 001; Pavel Trojovský; Dragan Pamucar; Nebojsa Bacanin; Vladimir Simic (Expert Syst. Appl., 2023)

Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security. - Amal H. Alharbi; S. Karthick; K. Venkatachalam 001; Mohamed Abouhawwash; Doaa Sami Khafaga (Intell. Autom. Soft Comput., 2023)

Wireless Network Security Using Load Balanced Mobile Sink Technique. - Reem Alkanhel; Mohamed Abouhawwash; S. N. Sangeethaa; K. Venkatachalam 001; Doaa Sami Khafaga (Intell. Autom. Soft Comput., 2023)

Novel task assignment policies using enhanced hyper-heuristic approach in cloud. - N. Krishnamoorthy; K. Venkatachalam 001; R. Manikandan; P. Prabhu (Int. J. Cloud Comput., 2023)

A new method for human activity identification using convolutional neural networks. - P. S. Prakash; S. Balakrishnan; K. Venkatachalam 001; Saravana Balaji Balasubramanian (Int. J. Cloud Comput., 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)

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 001; Mohamed Abouhawwash (PeerJ Comput. Sci., 2023)

Wall segmentation in 2D images using convolutional neural networks. - Mihailo Bjekic; Ana Lazovic; Venkatachalam K 001; Nebojsa Bacanin; Miodrag Zivkovic; Goran S. Kvascev; Bosko Nikolic (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 001; Badriyya Alonazi; Vladimir Simic; Erfan Babaee Tirkolaee; Chiranjibe Jana (PeerJ Comput. Sci., 2023)

VIOLA jones algorithm with capsule graph network for deepfake detection. - K. Venkatachalam 001; Pavel Trojovský; Stepán Hubálovský (PeerJ Comput. Sci., 2023)

The Evolution of Interindustry Technology Linkage Topics and Its Analysis Framework in Three-Dimensional Printing Technology. - Zaoli Yang; Nazrul Islam 002; Yuanyuan Shi; K. Venkatachalam 001; Lucheng Huang (IEEE Trans. Engineering Management, 2023)

Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes. - Nebojsa Bacanin; Milos Antonijevic; Timea Bezdan; Miodrag Zivkovic; K. Venkatachalam 001; Sharaf J. Malebary (Clust. Comput., 2023)

A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset. - Nebojsa Bacanin; K. Venkatachalam 001; Timea Bezdan; Miodrag Zivkovic; Mohamed Abouhawwash (Microprocess. Microsystems, 2023)

Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers. - K. Venkatachalam 001; Zaoli Yang; Pavel Trojovský; Nebojsa Bacanin; Muhammet Deveci; Weiping Ding 001 (Inf. Sci., 2023)

Text Document Clustering Approach by Improved Sine Cosine Algorithm. - Branislav Radomirovic; Vuk Jovanovic; Bosko Nikolic; Sasa Stojanovic; K. Venkatachalam 001; Miodrag Zivkovic; Angelina Njegus; Nebojsa Bacanin; Ivana Strumberger (Inf. Technol. Control., 2023)

Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models. - Aleksandar Petrovic; Luka Jovanovic; K. Venkatachalam 001; Miodrag Zivkovic; Nebojsa Bacanin; Nebojsa Budimirovic (Int. J. Hybrid Intell. Syst., 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)

Optimized deep learning networks for accurate identification of cancer cells in bone marrow. - Venkatachalam Kandasamy; Vladimir Simic; Nebojsa Bacanin; Dragan Pamucar (Neural Networks, 2025)