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ORCIDK. Venkatachalam 0001
Person information
- affiliation: University of Hradec Králové, Department of Applied Cybernetics, Faculty of Science, Czech Republic
- affiliation (2020): VIT Bhopal, Madhya Pradesh, India
- affiliation (PhD 2019): Anna University, Chennai, India
Other persons with the same name
- K. Venkatachalam — disambiguation page
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2020 – today
- 2023
[j40]Nebojsa Bacanin
, Milos Antonijevic, Timea Bezdan, Miodrag Zivkovic, K. Venkatachalam, Sharaf J. Malebary:
Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes. Clust. Comput. 26(1): 587-598 (2023)- [j39]R. Rajadevi, K. Venkatachalam, Mehedi Masud, Mohammed A. Alzain, Mohamed Abouhawwash:
Proof of Activity Protocol for IoMT Data Security. Comput. Syst. Sci. Eng. 44(1): 339-350 (2023) - [j38]G. Ravikumar, K. Venkatachalam, Mohammed A. Alzain, Mehedi Masud, Mohamed Abouhawwash:
Neural Cryptography with Fog Computing Network for Health Monitoring Using IoMT. Comput. Syst. Sci. Eng. 44(1): 945-959 (2023) - [j37]S. Siamala Devi, K. Venkatachalam, Yunyoung Nam, Mohamed Abouhawwash:
Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT. Comput. Syst. Sci. Eng. 44(3): 1869-1880 (2023) - [j36]K. Venkatachalam, Pavel Trojovský, Dragan Pamucar, Nebojsa Bacanin, Vladimir Simic:
DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (T-LSTM). Expert Syst. Appl. 213(Part): 119270 (2023) - [j35]N. Krishnamoorthy, K. Venkatachalam, R. Manikandan, P. Prabhu:
Novel task assignment policies using enhanced hyper-heuristic approach in cloud. Int. J. Cloud Comput. 12(2/3/4): 178-190 (2023) - [j34]P. S. Prakash, S. Balakrishnan, K. Venkatachalam, Saravana Balaji Balasubramanian:
A new method for human activity identification using convolutional neural networks. Int. J. Cloud Comput. 12(2/3/4): 191-200 (2023) - [j33]K. Venkatachalam, Zaoli Yang, Pavel Trojovský, Nebojsa Bacanin, Muhammet Deveci, Weiping Ding:
Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers. Inf. Sci. 628: 542-557 (2023) - [j32]Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Venkatachalam Kandasamy, Milos Antonijevic, Muhammet Deveci, Ivana Strumberger:
Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks. Inf. Sci. 642: 119122 (2023) - [j31]Branislav Radomirovic, Vuk Jovanovic, Bosko Nikolic, Sasa Stojanovic, K. Venkatachalam, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin, Ivana Strumberger:
Text Document Clustering Approach by Improved Sine Cosine Algorithm. Inf. Technol. Control. 52(2): 541-561 (2023) - [j30]Nebojsa Bacanin, K. Venkatachalam, Timea Bezdan, Miodrag Zivkovic, Mohamed Abouhawwash:
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset. Microprocess. Microsystems 98: 104778 (2023) - [j29]Saravana Balaji Balasubramanian, Prasanalakshmi Balaji, Asmaa Munshi, Wafa Almukadi, T. N. Prabhu, Venkatachalam K, Mohamed Abouhawwash:
Machine learning based IoT system for secure traffic management and accident detection in smart cities. PeerJ Comput. Sci. 9: e1259 (2023) - [j28]K. Venkatachalam, Pavel Trojovský, Stepán Hubálovský:
VIOLA jones algorithm with capsule graph network for deepfake detection. PeerJ Comput. Sci. 9: e1313 (2023) - [j27]Mihailo Bjekic, Ana Lazovic, Venkatachalam K, Nebojsa Bacanin, Miodrag Zivkovic, Goran S. Kvascev, Bosko Nikolic:
Wall segmentation in 2D images using convolutional neural networks. PeerJ Comput. Sci. 9: e1565 (2023) - [j26]Venkatachalam K, Badriyya Alonazi, Vladimir Simic, Erfan Babaee Tirkolaee, Chiranjibe Jana:
DeepFND: an ensemble-based deep learning approach for the optimization and improvement of fake news detection in digital platform. PeerJ Comput. Sci. 9: e1666 (2023) - [j25]Zaoli Yang, Nazrul Islam, Yuanyuan Shi, K. Venkatachalam, Lucheng Huang:
The Evolution of Interindustry Technology Linkage Topics and Its Analysis Framework in Three-Dimensional Printing Technology. IEEE Trans. Engineering Management 70(10): 3601-3621 (2023) - 2022
- [j24]R. I. Minu, G. Nagarajan, Asmaa Munshi, K. Venkatachalam, Wafa Almukadi, Mohamed Abouhawwash:
An Edge Based Attack Detection Model (EBAD) for Increasing the Trustworthiness in IoT Enabled Smart City Environment. IEEE Access 10: 89499-89508 (2022) - [j23]Zaoli Yang, Tingting Zhang, Harish Garg, K. Venkatachalam:
A multi-criteria framework for addressing digitalization solutions of medical system under interval-valued T-spherical fuzzy information. Appl. Soft Comput. 130: 109635 (2022) - [j22]Thangavel Renukadevi, Kuppusamy Saraswathi, P. Prabu, K. Venkatachalam:
Brain Image Classification Using Time Frequency Extraction with Histogram Intensity Similarity. Comput. Syst. Sci. Eng. 41(2): 645-460 (2022) - [j21]Gothai Ekambaram, A. Baseera, P. Prabu, K. Venkatachalam, K. Saravanan, S. Sathishkumar:
Machine Learning Technique to Detect Radiations in the Brain. Comput. Syst. Sci. Eng. 42(1): 149-163 (2022) - [j20]S. Prakash, P. Vishnu Raja, A. Baseera, D. Mansoor Hussain, V. R. Balaji, K. Venkatachalam:
Ensemble Nonlinear Support Vector Machine Approach for Predicting Chronic Kidney Diseases. Comput. Syst. Sci. Eng. 42(3): 1273-1287 (2022) - [j19]Amin Salih Mohammed, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský, P. Prabu:
Smart Edge Computing for 5 g/6 g Satellite IOT for Reducing Inter Transmission Delay. Mob. Networks Appl. 27(3): 1050-1059 (2022) - [j18]K. Venkatachalam, P. Prabu, Ala Saleh D. Alluhaidan, Stepán Hubálovský, Pavel Trojovský:
Deep Belief Neural Network for 5G Diabetes Monitoring in Big Data on Edge IoT. Mob. Networks Appl. 27(3): 1060-1069 (2022) - [j17]Nebojsa Bacanin, Miodrag Zivkovic, Timea Bezdan, K. Venkatachalam, Mohamed Abouhawwash:
Modified firefly algorithm for workflow scheduling in cloud-edge environment. Neural Comput. Appl. 34(11): 9043-9068 (2022) - [j16]Saravana Balaji Balasubramanian, Jagadeesh Kannan R, Prabu P, Venkatachalam K, Pavel Trojovský:
Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection. PeerJ Comput. Sci. 8: e1040 (2022) - [j15]Stepán Hubálovský, Pavel Trojovský, Nebojsa Bacanin, K. Venkatachalam:
Evaluation of deepfake detection using YOLO with local binary pattern histogram. PeerJ Comput. Sci. 8: e1086 (2022) - [j14]S. T. Suganthi, Mohamed Uvaze Ahamed Ayoobkhan, Krishna Kumar V, Nebojsa Bacanin, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský:
Deep learning model for deep fake face recognition and detection. PeerJ Comput. Sci. 8: e881 (2022) - [j13]Venkatachalam Kandasamy, Stepán Hubálovský, Pavel Trojovský:
Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN. PeerJ Comput. Sci. 8: e953 (2022) - [j12]Miodrag Zivkovic, Milan Tair, Venkatachalam K, Nebojsa Bacanin, Stepán Hubálovský, Pavel Trojovský:
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification. PeerJ Comput. Sci. 8: e956 (2022) - 2021
- [j11]K. Venkatachalam, Siuly Siuly, Nebojsa Bacanin, Stepán Hubálovský, Pavel Trojovský:
An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI. IEEE Access 9: 119078-119089 (2021) - [j10]Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Miodrag Zivkovic, Ivana Strumberger, Mohamed Abouhawwash, Abeer B. Ahmed:
Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm. IEEE Access 9: 169135-169155 (2021) - [j9]Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Fadi Al-Turjman:
Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade. J. Real Time Image Process. 18(4): 1085-1098 (2021) - [j8]M. Vinoth Kumar, K. Venkatachalam, Prabu P, Abdulwahab Almutairi, Mohamed Abouhawwash:
Secure biometric authentication with de-duplication on distributed cloud storage. PeerJ Comput. Sci. 7: e569 (2021) - [j7]Jameer Basha, Nebojsa Bacanin, Nikola Vukobrat, Miodrag Zivkovic, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský:
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design. Sensors 21(19): 6654 (2021) - [j6]Venkatachalam Kandasamy, Pavel Trojovský, Fadi Al Machot, Kyandoghere Kyamakya, Nebojsa Bacanin, Sameh S. Askar, Mohamed Abouhawwash:
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme. Sensors 21(22): 7582 (2021) - [c1]K. Venkatachalam, Nebojsa Bacanin, Md. Enamul Kabir, P. Prabu:
Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP - EffUnet Classification. HIS 2021: 181-192 - 2020
- [j5]K. Venkatachalam, Devipriya A., Maniraj J., M. Sivaram, A. Ambikapathy, Iraj Sadegh Amiri:
A novel method of motor imagery classification using eeg signal. Artif. Intell. Medicine 103: 101787 (2020) - [j4]P. Prabu, Ahmed Najat Ahmed, K. Venkatachalam, S. Nalini, R. Manikandan:
Energy efficient data collection in sparse sensor networks using multiple Mobile Data Patrons. Comput. Electr. Eng. 87: 106778 (2020) - [j3]Amin Salih Mohammed, Saravana Balaji B., M. S. Saleem Basha, Asha P. N, Venkatachalam K:
FCO - Fuzzy constraints applied Cluster Optimization technique for Wireless AdHoc Networks. Comput. Commun. 154: 501-508 (2020) - [j2]V. R. Balaji, S. Maheswaran, M. Rajesh Babu, M. Kowsigan, E. Prabhu, Venkatachalam K:
Combining statistical models using modified spectral subtraction method for embedded system. Microprocess. Microsystems 73: 102957 (2020) - [j1]K. Yasoda, R. S. Ponmagal, K. S. Bhuvaneshwari, K. Venkatachalam:
Automatic detection and classification of EEG artifacts using fuzzy kernel SVM and wavelet ICA (WICA). Soft Comput. 24(21): 16011-16019 (2020)
Coauthor Index
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