Publications (Journals)

Journals

Citation Indexed Journals

1.  N. S. Allur, D. P. Deevi, K. Dondapati, H. Chetlapalli, S. Kodadi, and T. Perumal, “Operation Research the Influence of Venture Capital on the Growth of E-Commerce Listed Enterprises,” International Journal of Innovation and Technology Management, Nov. 2024, doi: 10.1142/S0219877024500573.

  2.  D.P. Deevi,  N. S. Allur, K. Dondapati, H. Chetlapalli, S. Kodadi and T. Perumal “The impact of the digital economy on industrial structure upgrading and sustainable entrepreneurial growth”, Electronic Commerce Research, Sept. 2024, https://doi.org/10.1007/s10660-024-09907-5.

3.  L. I. D.Faruk, D.Pal ,  S.Funilkul,  T.Perumal and  P. Mongkolnam, Introducing CASUX: A Standardized Scale for Measuring the User Experience of Artificial Intelligence Based Conversational Agents, International Journal of Human–Computer Interaction, pp. 1–25, 2024, https://doi.org/10.1080/10447318.2024.2359206

4.  R. E, T. Perumal, and S. K, “A review on fall detection systems in bathrooms: challenges and opportunities,” Multimedia Tools and Applications, Jan. 2024, doi: 10.1007/s11042-023-18088-6.

5. S.Varikkottil, F.D.J. Lionel, M.K.Srinivasan, T.Perumal, A.A.Stonier, G.Peter, B.Pagidi, V.Ganji ,“Inner Resonance and Outer Current Based Control Strategy for Inductive Power Transfer System Used in Wireless Charging for Electric Vehicles,” IET Electrical Systems in Transportation, vol. 2024, pp. 1–12, Mar. 2024, doi: 10.1049/2024/6668174.

6.  P. Khosravinia, T. Perumal, and J. Zarrin, “Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks,” IEEE Access, pp. 1–1, 2023, doi: 10.1109/ACCESS.2023.3280473.

7.  R. Elagovan, T. Perumal, and S. Krishnan, “Fall Detection Systems at Night,” Computer (Long Beach Calif), vol. 56, no. 6, pp. 44–51, Jun. 2023, doi: 10.1109/MC.2022.3200404.

8.  R. Mohamed, N. H. Azizan, T. Perumal, S. Abd Manaf, E. Marlisah, and M. K. D. Hardhienata, "Discovering and recognizing of imbalance human activity in healthcare monitoring using data resampling technique and decision tree model," Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 33, no. 2, pp. 340–350, Nov. 2023, doi: 10.37934/araset.33.2.340350.

9.  E. Ramanujam and T. Perumal, “MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 3, pp. 2313–2325, Mar. 2023, doi: 10.1007/s12652-022-04487-4.

10.  T. Perumal, E. Ramanujam, S. Suman, A. Sharma, and H. Singhal, “Internet of Things Centric-Based Multiactivity Recognition in Smart Home Environment,” IEEE Internet Things Journal, vol. 10, no. 2, pp. 1724–1732, Jan. 2023, doi: 10.1109/JIOT.2022.3209970.

11.  S. Ge, S. N. B. M. Rum, H. Ibrahim, E. Marsilah, and T. Perumal, “An Effective Source Number Enumeration Approach Based on SEMD,” IEEE Access, vol. 10, pp. 96066–96078, 2022, doi: 10.1109/ACCESS.2022.3204998.

12.  L. Babangida, T. Perumal, N. Mustapha, and R. Yaakob, “Internet of Things (IoT) Based Activity Recognition Strategies in Smart Homes: A Review,” IEEE Sensors Journal, vol. 22, no. 9, pp. 8327–8336, May 2022, doi: 10.1109/JSEN.2022.3161797.

13.  D. R. Prapti, A. R. Mohamed Shariff, H. Che Man, N. M. Ramli, T. Perumal, and M. Shariff, “Internet of Things (IoT)‐based aquaculture: An overview of IoT application on water quality monitoring,” Reviews in Aquaculture, vol. 14, no. 2, pp. 979–992, Mar. 2022, doi: 10.1111/raq.12637.

14.  M. M. Anuar, A. A. Halin, T. Perumal, and B. Kalantar, “Aerial Imagery Paddy Seedlings Inspection Using Deep Learning,” Remote Sensing, vol. 14, no. 2, p. 274, Jan. 2022, doi: 10.3390/rs14020274.

15.  E. Ramanujam and T. Perumal, “AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons,” International Journal of Ambient Computing and Intelligence, vol. 13, no. 1, pp. 1–22, Jul. 2022, doi: 10.4018/IJACI.304727.

16.  T. Arvaree and T. Perumal, “IoT Based Car Pollution Detection Using Cloud Computing,” International Journal of Environmental Science and Development, vol. 12, no. 8, pp. 226–231, 2021, doi: https://doi.org/10.18178/ijesd.2021.12.8.1344.

17.  M. Ibrahim, M. T. Abdullah, A. Abdullah, and T. Perumal, “Correction to: The Impact of Memory‑Efficient Bots on IoT‑WSN Botnet Propagation,” Wireless Personal Communications, vol. 119, no. 3, pp. 2107–2107, Aug. 2021, doi: 10.1007/s11277-021-08551-8.

18.  M. Ravishankar, T. Stephan, and T. Perumal, “Time dependent network resource optimization in cyber–physical systems using game theory,” Computer Communications, vol. 176, pp. 1–12, Aug. 2021, doi: 10.1016/j.comcom.2021.04.034.

19.  A. Natani, A. Sharma, and T. Perumal, “Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes,” Applied Intelligence, vol. 51, no. 8, pp. 6014–6028, Aug. 2021, doi: 10.1007/s10489-020-02134-z.

20.  S. Suman, T. Perumal, N. Mustapha, R. Yaakob, M. A. Bin Ahmadon, and S. Yamaguchi, “CoAP-Based Lightweight Interoperability Semantic Sensor and Actuator Ontology for IoT Ecosystem,” International Journal of Ambient Computing and Intelligence, vol. 12, no. 2, pp. 92–110, Apr. 2021, doi: 10.4018/IJACI.2021040106.

21. E. Ramanujam, T. Perumal, and S. Padmavathi, “Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review,” IEEE Sensors Journal, vol. 21, no. 12, pp. 13029–13040, Jun. 2021, doi: 10.1109/JSEN.2021.3069927. 

22.  M. Krishna and T. Perumal, “Making Buildings Smarter and Energy-Efficient—Using the Internet of Things Platform,” IEEE Consumer Electronics Magazine , vol. 10, no. 3, pp. 34–41, May 2021, doi: 10.1109/MCE.2021.3053182.

23.  M. Jethanandani, A. Sharma, T. Perumal, and J.-R. Chang, “Multi-label classification based ensemble learning for human activity recognition in smart home,” Internet of Things, vol. 12, p. 100324, Dec. 2020, doi: 10.1016/j.iot.2020.100324.

24.  P. K. Vadla, B. P. Kolla, and T. Perumal, "FLA-SLA aware cloud collation formation using fuzzy preference relationship multi-decision approach for federated cloud," Pertanika Journal of Science & Technology, 2020.

25.  M. Ibrahim, M. T. Abdullah, A. Abdullah, and T. Perumal, “An Epidemic Based Model for the Predictions of OOFI in an IoT Platform,” International Journal of Engineering Trends and Technology, pp. 52–56, Oct. 2020, doi: https://doi.org/10.14445/22315381/cati2p208.

26.  H. Kasim, A. R. A. Rahimana, N. A. W. A. Hamid, and T. Perumal, "Minimizing the Cleaning Cost in Flash-Based Storage Sub-Systems by Proliferating the Valid Data Copying Process," Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 601–606, Aug. 2022. [Online]. Available: https://www.astesj.com/v05/i02/p70/

27.  K. Zaheer, M. Othman, M. H. Rehmani, and T. Perumal, “A Survey of Decision-Theoretic Models for Cognitive Internet of Things (CIoT),” IEEE Access, vol. 6, pp. 22489–22512, 2018, doi: 10.1109/ACCESS.2018.2825282.

28.  R. Mohamed, M. N. Shah Zainudin, M. N. Sulaiman, T. Perumal, and N. Mustapha, “Multi-Label Classification For Physical Activity Recognition From Various Accelerometer Sensor Positions,” Journal of Information and Communication Technology, vol. 17, 2018, doi: 10.32890/jict2018.17.2.8252.

29.  M. N. S. Zainudin, Md. N. Sulaiman, N. Mustapha, T. Perumal, and A. S. A. Nazri, “Hybrid Relief-f Differential Evolution Feature Selection for Accelerometer Actions,” Advanced  Science Letters, vol. 24, no. 2, pp. 1168–1171, Feb. 2018, doi: 10.1166/asl.2018.10709.

30.  R. Mohamed, T. Perumal, Md. N. Sulaiman, N. Mustapha, and M. N. S. Zainudin, “Multi Label Classification on Multi Resident in Smart Home Using Classifier Chains,” Advanced  Science Letters, vol. 24, no. 2, pp. 1316–1319, Feb. 2018, doi: 10.1166/asl.2018.10740.

31.  M. N. Shah Zainudin, Md. Nasir Sulaiman, N.Mustapha, and T. Perumal, "One-against-all binarization classification strategy to recognize interclass similarities activities from several sensor positions," Journal of Engineering Science and Technology, vol. 13, no. 8, Aug. 2018.

32.  M. N. Shah Zainudin, Md. Nasir Sulaiman, N. Musapha, T. Perumal, and R. Mohamed, “Solving Classification Problem Using Ensemble Binarization Classifier,” International Journal of Engineering & Technology, vol. 7, no. 4.31, pp. 280–284, Dec. 2018, doi: 10.14419/ijet.v7i4.31.23381.

33.  M.N. Shah Zainudin, Md Nasir Sulaiman, N. Mustapha, T.Perumal, And Raihani Mohamed, “Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity,” Turkish Journal Of Electrical Engineering & Computer Sciences, vol. 26, no. 3, May 2018, doi: 10.3906/elk-1709-138.

34.  R. Mohamed, T. Perumal, M. N. Sulaiman, and N. Mustapha, “Multi Resident Complex Activity Recognition in Smart Home: A Literature Review,” International Journal of Smart Home, vol. 11, no. 6, pp. 21–32, Jun. 2017, doi: 10.14257/ijsh.2017.11.6.03.

35.  A. R. Abdul Raziff, M. N. Sulaiman, N. Mustapha, T. Perumal, and M. S. Mohd Pozi, "Multiclass classification method in handheld based smartphone gait identification," Journal of Telecommunication, Electronic and Computer Engineering (JTEC),vol. 9, no. 2-12, pp. 59–65, 2017. [Online]. Available: https://jtec.utem.edu.my/jtec/article/view/2771.

36.  M. N. S. Zainudin, M. N. Sulaiman, N. Mustapha, and T. Perumal, "Pairwise classification using combination of statistical descriptors with spectral analysis features for recognizing walking activities," Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol. 9, no. 2-11, pp. 55–60, 2017. [Online]. Available: https://jtec.utem.edu.my/jtec/article/view/2738

37.  R. Mohamed, T. Perumal, M. N. Sulaiman, N. Mustapha, and S. Abd. Manaf, "Tracking and recognizing the activity of multi resident in smart home environments," Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol. 9, no. 2-11, pp. 39–43, 2017. [Online]. Available: https://jtec.utem.edu.my/jtec/article/view/2735

38.  A. Raziff, M. Sulaiman, N. Mustapha, and T. Perumal, “Gait Identification using Smartphone Handheld Placement with Linear Interpolation Factor, Single Magnitude and One-vs-One Classifier Mapping,” International Journal of Intelligent Engineering and Systems, vol. 10, no. 4, pp. 70–80, Aug. 2017, doi: 10.22266/ijies2017.0831.08.

39.  M. N. S. Zainudin, Md. N. Sulaiman, N. Mustapha, T. Perumal, and R. Mohamed, “Recognizing Complex Human Activities using Hybrid Feature Selections based on an Accelerometer Sensor,” International Journal of Technology, vol. 8, no. 5, p. 968, Oct. 2017, doi: 10.14716/ijtech.v8i5.879.

40.  A. Rafiez, A. Raziff, and T. Perumal, “Smote and OVO Multiclass Method for Multiple Handheld Placement Gait Identification on Smartphone’s Accelerometer,” ARPN Journal of Engineering and Applied Sciences, 2017, doi: 10.3923/jeasci.2017.374.382.

41.  M. N. S. Zainudin, Md. N. Sulaiman, N.Mustapha, T.Perumal, A. Nazri, A. Shahrel, R. Mohamed, S.A. Manaf , “Feature Selection Optimization using Hybrid Relief-f with Self-adaptive Differential Evolution,” International Journal of Intelligent Engineering and Systems, vol. 10, no. 3, pp. 21–29, Apr. 2017, doi: 10.22266/ijies2017.0430.03.

42.  A. Shahi, M. N. Sulaiman, N. Mustapha, T. Perumal, and R. Meimandi Parizi, “Sustainability in intelligent building environments using weighted priority scheduling algorithm,” Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 6, pp. 689–705, Nov. 2017, doi: 10.3233/AIS-170462.

43.  M. S. M. Pozi, M. N. Sulaiman, N. Mustapha, and T. Perumal, “Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming,” Neural Processing Letters, vol. 44, no. 2, pp. 279–290, Oct. 2016, doi: 10.1007/s11063-015-9457-y.

44.  M. S. Mohd Pozi, M. N. Sulaiman, N. Mustapha, and T. Perumal, “A new classification model for a class imbalanced data set using genetic programming and support vector machines: case study for wilt disease classification,” Remote Sensing Letters, vol. 6, no. 7, pp. 568–577, Jul. 2015, doi: 10.1080/2150704X.2015.1062159.

45.  A. Shahi, M. N. Sulaiman, N. Mustapha, and T. Perumal, “Naive Bayesian decision model for the interoperability of heterogeneous systems in an intelligent building environment,” Automation in Construction, vol. 54, pp. 83–92, Jun. 2015, doi: 10.1016/j.autcon.2015.03.015.

46.  A. Babakura, M. N. Sulaiman, N. Mustapha, and T. Perumal, “HMM-Based Decision Model for Smart Home Environment,” International Journal of Smart Home, vol. 8, no. 1, pp. 129–138, Jan. 2014, doi: 10.14257/ijsh.2014.8.1.14.

47.  C. Y. Leong, A. R. Ramli, and T. Perumal, “IP Based Network Public Address for Intelligent Building Environment,” International Journal of Smart Home, vol. 8, no. 6, pp. 77–86, Nov. 2014, doi: 10.14257/ijsh.2014.8.6.08.

48.  T. Perumal, A. R. Ramli, and C. Y. Leong, “SOA-Based Framework for Home and Building Automation Systems (HBAS),” International Journal of Smart Home, vol. 8, no. 5, pp. 197–206, Sep. 2014, doi: 10.14257/ijsh.2014.8.5.18.

49.  T. Perumal, M. N. Sulaiman, and C. Y. Leong, “ECA-based interoperability framework for intelligent building,” Automation in Construction, vol. 31, pp. 274–280, May 2013, doi: 10.1016/j.autcon.2012.12.009.

50.  T. Perumal, M. N. Sulaiman, K. Y. Sharif, A. R. Ramli, and Y. L. Chui, "Development of an embedded smart home management scheme," International Journal of Smart Home, 2013

51.  T. Perumal, A. Ramli, and C. Leong, “Interoperability framework for smart home systems,” IEEE Transactions on Consumer Electronics, vol. 57, no. 4, pp. 1607–1611, Nov. 2011, doi: 10.1109/TCE.2011.6131132.

52.  T. Perumal, A. R. Ramli, C. Y. Leong, K. Samsudin, and S. Mansor, “Middleware for heterogeneous subsystems interoperability in intelligent buildings,” Automation in Construction, vol. 19, no. 2, pp. 160–168, Mar. 2010, doi: 10.1016/j.autcon.2009.11.014.

53.  C. Leong, A. Ramli, and T. Perumal, “A rule-based framework for heterogeneous subsystems management in smart home environment,” IEEE Transactions on Consumer Electronics, vol. 55, no. 3, pp. 1208–1213, Aug. 2009, doi: 10.1109/TCE.2009.5277977.

54.  T. Perumal, A. R. Ramli, C. Y. Leong, S. B. Mansor, and K. Samsudin, "Interoperability for Smart Home Environment Using Web Services," International Journal of Smart Home, 2008.

55.  T. Perumal, A. Ramli, and C. Leong, “Design and implementation of SOAP-based residential management for smart home systems,” IEEE Transactions on Consumer Electronics, vol. 54, no. 2, pp. 453–459, May 2008, doi: 10.1109/TCE.2008.4560114.

Non-Citation Indexed Journals 

1.      Himabindu Chetlapalli, T. Perumal, “Driving Business Intelligence Transformation Through AI And Data Analytics: A Comprehensive Framework”, vol. 12, no. 1, Mar. 2024.

2.  F. M. Shiri, T. Perumal, N. Mustapha, and R. Mohamed, "A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU," arXiv preprint arXiv:2305.17473, 2023.

3.  M. Ibrahim, M. A. Taufik, A. Abdullah, and T. Perumal , “IoTContact: A Strategy for Predicting Contagious IoT Nodes in Mitigating Ransomware Attacks,” Turkish Journal of Computer and Mathematics Education (TURCOMAT), vol. 12, no. 3, pp. 1957–1962, Apr. 2021, doi: 10.17762/turcomat.v12i3.1030.

4.  M. Ibrahim, M. T. Abdullah, A. Abdullah, and T. Perumal, "Modelling and Mitigation Strategy of IoT Botnet Propagation," Preprints, 2019. [Online]. Available: https://doi.org/10.20944/preprints201912.0097.v1

5.  S. N. M. Rum, A. B. M. Sultan, R. Yaakob, and T. Perumal, “Asynchronous Web Technology in Online Counselling System,” Indian Journal of Science and Technology, vol. 11, no. 1, pp. 1–9, Jan. 2018, doi: 10.17485/ijst/2018/v11i20/123449.