References

Gondhi, N. K. (2025). Design and Development of Intelligent Systems for Skin Cancer Detection. IoT and AI-Enabled Healthcare Solutions for Intelligent Disease Prediction, 100.

Kour, T., Raina, J. K., Gondhi, N. K., Sharma, A., Banerjee, S., Kumar, P., … Panjaliya, R. K. (2025). Transformative Impact of Deep Learning and Machine Learning in Oncology: A Comprehensive Review of AI-Based Approaches for Early Detection, Diagnosis and Therapeutics Across Different Cancer Types. Archives of Computational Methods in Engineering, 1–26.

An Enhanced Hybrid Architecture for Detecting Malware in Android Apps Using Machine Learning and Deep Learning Techniques. (2025). Academy of Marketing Studies Journal, 29(3), 1–21.

Kumar, P. (2025). Association of Glutathione S-transferase gene polymorphism with coronary artery disease (CAD) in North Indian population (Jammu and Kashmir): evidence from a case-control study and an updated meta-analysis. INHALATION TOXICOLOGY2025, VOL. 37, NO. 3, 133–145, 37(3), 133–145.

Sharma, R., Kaushik, B., & Gondhi, N. K. (2025). Handwritten north Indian script recognition using machine learning:: a survey. International Journal of Advanced Intelligence Paradigms, 30(5), 379–395.

Raina, R., Gondhi, N. K., & Gupta, A. (2024). Automated segmentation of acute leukemia using blood and bone marrow smear images: A systematic review. Multimedia Tools and Applications, 83(32), 77967–78000.

Salaria, A., Mengi, S., & Gondhi, N. (2024). to Improve Rate of Application Fee Payments in University Admission. Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security: IC4S’05 Volume 1, 991, 423. Springer Nature.

Raina, R., Gondhi, N. K., Chaahat, Singh, D., Kaur, M., & Lee, H.-N. (2023). A systematic review on acute leukemia detection using deep learning techniques. Archives of Computational Methods in Engineering, 30(1), 251–270.

Rashid, D., Gondhi, N. K., & Chaahat. (2023). Correlative Exposition of Various Machine Learning Techniques for Urdu Handwritten Text Recognition. Proceedings of International Conference on Recent Innovations in Computing: ICRIC 2022, Volume 1, 31–40. Springer Nature Singapore Singapore.

Salaria, A., Mengi, S., & Gondhi, N. (2023). Bridging the Disparity: A Web-Based Enrollment Management System to Improve Rate of Application Fee Payments in University Admission. International Conference on Cognitive Computing and Cyber Physical Systems, 423–437. Springer Nature Singapore Singapore.

Sharma, R., Kaushik, B., Gondhi, N. K., Tahir, M., & Imam Rahmani, M. K. (2022). Quantum Particle Swarm Optimization Based Convolutional Neural Network for Handwritten Script Recognition. Computers, Materials & Continua, 71(3).

Gondhi, N. K., Chaahat, Sharma, E., Alharbi, A. H., Verma, R., & Shah, M. A. (2022). Efficient Long Short-Term Memory-Based Sentiment Analysis of E-Commerce Reviews. Computational Intelligence and Neuroscience, 2022(1), 3464524.

Pandita, H., & Gondhi, N. K. (2021). A literature survey of sentiment analysis based on E-commerce reviews. 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 1767–1772. IEEE.

Sharma, R., Kaushik, B., & Gondhi, N. K. (2021). Offline handwritten dogra script recognition using convolutional neural network. Smart Computing Techniques and Applications: Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 2, 789–797. Springer Singapore Singapore.

Gondhi, N. K., Lehana, P. K., & Others. (2021). An evolutionary approach for the enhancement of dermatological images and their classification using deep learning models. Journal of Healthcare Engineering, 2021, 8113403.

Chaahat, Kumar Gondhi, N., & Kumar Lehana, P. (2021). An evolutionary approach for the enhancement of dermatological images and their classification using deep learning models. Journal of Healthcare Engineering, 2021(1), 8113403.

Gondhi, N. K., & Others. (2020). Comparative Assessment of Image Captioning Models. Journal of Computational and Theoretical Nanoscience, 17(1), 473–478.

Gupta, C., Gondhi, N. K., & Lehana, P. K. (2020). Gray level co-occurrence matrix (GLCM) parameters analysis for pyoderma image variants. Journal of Computational and Theoretical Nanoscience, 17(1), 353–358.

Yasin, M., & Gondhi, N. K. (2020). A Comparative Analysis on Nastaliq Style Urdu Character Recognition. Journal of Computational and Theoretical Nanoscience, 17(1), 284–289.

Kour, H., & Gondhi, N. K. (2020). Machine Learning approaches for Nastaliq style Urdu handwritten recognition: A survey. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 50–54. IEEE.

Sharma, R., Kaushik, B., & Gondhi, N. (2020). Character recognition using machine learning and deep learning-a survey. 2020 International Conference on Emerging Smart Computing and Informatics (ESCI), 341–345. IEEE.

Gupta, C., Gondhi, N. K., & Lehana, P. K. (2019). Analysis and identification of dermatological diseases using Gaussian mixture modeling. IEEE Access, 7, 99407–99427.

Kour, N., & Gondhi, N. (2019b). Content Based Image Retrieval Using Machine Learning Based Algorithm. International Conference on Emerging Current Trends in Computing and Expert Technology, 1088–1095. Springer International Publishing Cham.

Yasin, M., & Gondhi, N. K. (2019). Line and Ligature Segmentation for Nastaliq Script. International Conference on Emerging Current Trends in Computing and Expert Technology, 771–779. Springer International Publishing Cham.

Kour, H., & Gondhi, N. (2019). Machine learning techniques: a survey. International Conference on Innovative Data Communication Technologies and Application, 266–275. Springer International Publishing Cham.

Kour, N., & Gondhi, N. (2019a). Assessment on various Approaches for Content Based Image Retrieval. 2019 Third International Conference on Inventive Systems and Control (ICISC), 225–230. IEEE.

Raina, R., & Gondhi, D. N. K. (2018). Machine learning techniques in IoT. International Journal of Scientific Research in Computer Science, Engineering and Information Technology.

Sharma, C., & Gondhi, N. K. (2018). Communication protocol stack for constrained IoT systems. 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–6. IEEE.

Sharma, R., Kaushik, B. N., & Gondhi, N. K. (2018). Devanagari and gurmukhi script recognition in the context of machine learning classifiers. Journal of Artificial Intelligence, 11(2), 65–70.

Sharma, R., Kaushik, B. N., & Gondhi, N. K. (2018). Mini Review Devanagari and Gurmukhi Script Recognition in the Context of Machine Learning Classifiers.

Gondhi, N. K., & Raina, R. (2018). Machine Learning Techniques in IoT. Resource, 3, 6.

Magotra, S., & Gondhi, N. K. (2018). Impact of HELLO flood attack on Hierarchical Routing Protocols in WSN. Res. Cell Int. J. Eng. Sci, 27, 1–6.

Gondhi, N. K., & Gupta, A. (2017). Survey on machine learning based scheduling in cloud computing. Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 57–61.

Gondhi, N. K., & Kour, E. N. (2017). A comparative analysis on various face recognition techniques. 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), 8–13. IEEE.

Kaushik, B. N., Gondhi, N. K., & Others. (2017). Recent trends of workflow scheduling algorithms in cloud computing under Qos constraints. 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), 396–401. IEEE.

Gondhi, N. K., Kour, N., Effendi, S., & Kaushik, K. (2017). An efficient algorithm for facial landmark detection using haar-like features coupled with corner detection following anthropometric constraints. 2017 2nd International Conference on Telecommunication and Networks (TEL-NET), 1–6. IEEE.

Kumar, D., & Gondhi, N. K. (2017). A QoS-based reactive auto scaler for cloud environment. 2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS), 19–23. IEEE.

Kumar, D., & Gondhi, N. K. (2016). Leveraging Virtualization for Optimal Resource Management in a Cloud Environment. Proceedings of the International Conference on Data Engineering and Communication Technology: ICDECT 2016, Volume 2, 371–382. Springer Singapore Singapore.

Gondhi, N. K., & Kailu, P. (2015). Prediction based energy efficient virtual machine consolidation in cloud computing. 2015 Second International Conference on Advances in Computing and Communication Engineering, 437–441. IEEE.

Gondhi, N. K., & Sharma, A. (2015). Local search based ant colony optimization for scheduling in cloud computing. 2015 Second International Conference on Advances in Computing and Communication Engineering, 432–436. IEEE.

Samra, M., Mengi, M., Sharma, S., & Gondhi, N. K. (2015). Detection and mitigation of rogue access point. Journal of Scientific and Technical Advancements, 1(3), 195–198.

Gondhi$^1$, N. K., Nehra, N., & Pant, D. (2013). TOWARDS DESIGNING AN INTELLIGENT SYSTEM FOR. Advances in Computer Vision and Information Technology, 251.

Gondhi, N. K., & Pant, D. (2009). An evolutionary approach for scalable load balancing in cluster computing. 2009 IEEE International Advance Computing Conference, 1259–1264. IEEE.

Nehra, N., Gondhi, N. K., Pant, D., & Patel, R. B. (2007). Mobile Agent based Expert System for Distributed Network Management. Information Technology Journal, 6(6), 891–896.