By: Dr. Kazi Kutubuddin Sayyad Liyakat
Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharastra, India.
The burgeoning field of nanotechnology presents transformative potentials across various scientific disciplines, and its implications for space exploration and research are particularly compelling. The nonconcrete on “Nanotechnology in Space Study” provides a concise yet comprehensive overview of the current advancements and applications of nanotechnology within the context of space missions. This includes the development of lightweight, durable materials that can withstand extreme conditions in space, enhancing the structural integrity of spacecraft while minimizing launch costs. The discussion on nanosensors is particularly insightful, emphasizing how these small-scale devices can monitor the health of both spacecraft systems and astronauts, allowing for real-time data collection that is critical for long-duration missions. It effectively piques interest in the potential of this cutting-edge science to enhance our capabilities in space exploration. Future research should not only focus on harnessing the strengths of nanotechnology but also critically evaluate its limitations and ramifications for sustainable practices in space. Overall, it is an exciting time for both nanotechnology and space exploration, and this study encapsulates the intersection of these fields effectively.
Keywords: Nanotechnology, Space study, Nanosensors, energy
Citation:
Refrences:
- Halli U M, “Nanotechnology in IoT Security”, Journal of Nanoscience, Nanoengineering & Applications, 2022, Vol 12, issue 3, pp. 11 – 16
- Wale Anjali D., Rokade Dipali, et al, “Smart Agriculture System using IoT”, International Journal of Innovative Research In Technology, 2019, Vol 5, Issue 10, pp.493 – 497.
- Halli U.M., “Nanotechnology in E-Vehicle Batteries”, International Journal of Nanomaterials and Nanostructures. 2022; Vol 8, Issue 2, pp. 22–27
- K. K. Sayyad Liyakat, “Nanotechnology Application in Neural Growth Support System”, Nano Trends: A Journal of Nanotechnology and Its Applications, 2022, Vol 24, issue 2, pp. 47 – 55
- Mishra Sunil B, Liyakat KS, Liyakat KK. AI-Driven IoT (AI IoT) in Thermodynamic Engineering. Journal of Modern Thermodynamics in Mechanical System. 2024;6(1):1-8.
- Kazi Sultanabanu Sayyad Liyakat,Accepting Internet of Nano-Things: Synopsis, Developments, and Challenges. Journal of Nanoscience, Nanoengineering & Applications. 2023; 13(2): 17–26p. DOI: https://doi.org/10.37591/jonsnea.v13i2.1464
- Kazi Sultanabanu Sayyad Liyakat, Kazi Kutubuddin Sayyad Liyakat. Nanomedicine as a Potential Therapeutic Approach to COVID-19. International Journal of Applied Nanotechnology. 2023; 9(2): 27–35p.
- Kazi Kutubuddin Sayyad Liyakat, Nanotechnology in Precision Farming: The Role of Research, International Journal of Nanomaterials and Nanostructures, Vol 9, No 2 (2023), https://doi.org/10.37628/ijnn.v9i2.1051
- Kazi Kutubuddin Sayyad Liyakat,Smart Agriculture based on AI-Driven-IoT(AIIoT): A KSK Approach, Advance Research in Communication Engineering and its Innovations, 1(2), 23-32.
- K Kazi, Complications with Malware Identification in IoT and an Overview of Artificial Immune Approaches. Research & Reviews: A Journal of Immunology. 2024; 14(01):54-62.
- Liyakat, K.K.S, Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. ICMIB 2023. Lecture Notes in Networks and Systems, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-99-3932-9_12 available at: https://link.springer.com/chapter/10.1007/978-981-99-3932-9_12
- Kavithamani V, Pradeep G, Janani M, Balasamy K, Rithani B. Advanced Grape Leaf Disease Detection using Neural Network. In2023 Second International Conference on Electronics and Renewable Systems (ICEARS) 2023 Mar 2 (pp. 949-954). IEEE..
- K. K. S. Liyakat,Detecting Malicious Nodes in IoT Networks Using Machine Learning and Artificial Neural Networks, 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2023, pp. 1-5, doi: 10.1109/ESCI56872.2023.10099544.
- Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Liyakat KK. Implementation and Recognition of Waste Management System with Mobility Solution in Smart Cities using Internet of Things. In2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2023 Aug 23 (pp. 1661-1665). IEEE.
- Liyakat KK. Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. InInternational Conference on Machine Learning, IoT and Big Data 2023 Mar 10 (pp. 123-134). Singapore: Springer Nature Singapore.
- Kazi, K,AI-Driven IoT (AIIoT) in Healthcare Monitoring. In T. Nguyen & N. Vo (Eds.), Using Traditional Design Methods to Enhance AI-Driven Decision Making (pp. 77-101). IGI Global. https://doi.org/10.4018/979-8-3693-0639-0.ch003 available at: https://www.igi-global.com/chapter/ai-driven-iot-aiiot-in-healthcare-monitoring/336693
- Kazi, K. Modelling and Simulation of Electric Vehicle for Performance Analysis: BEV and HEV Electrical Vehicle Implementation Using Simulink for E-Mobility Ecosystems. In L. D., N. Nagpal, N. Kassarwani, V. Varthanan G., & P. Siano (Eds.), E-Mobility in Electrical Energy Systems for Sustainability(2024b), (pp. 295-320). IGI Global. https://doi.org/10.4018/979-8-3693-2611-4.ch014 Available at: https://www.igi-global.com/gateway/chapter/full-text-pdf/341172
- Kazi KS. Computer-Aided Diagnosis in Ophthalmology. Advances in healthcare information systems and administration book series 2024 Feb 9;112–35. Available from: https://www.igi-global.com/gateway/chapter/342823 Available at: https://www.igi-global.com/chapter/computer-aided-diagnosis-in-ophthalmology/342823
- Prashant K Magadum (2024). Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems, Grenze International Journal of Engineering and Technology, Jan Issue, Vol 10, Issue 1, pp. 2074-2080. Grenze ID: 01.GIJET.10.1.4_1 Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=2514&id=8
- Priya Mangesh Nerkar, Bhagyarekha Ujjwalganesh Dhaware. (2023). Predictive Data Analytics Framework Based on Heart Healthcare System (HHS) Using Machine Learning, Journal of Advanced Zoology, 2023, Volume 44, Special Issue -2, Page 3673:3686.
- P. Neeraja, R. G. Kumar, M. S. Kumar, K. K. S. Liyakat and M. S. Vani. (2024), DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring. 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), Greater Noida, India, 2024, pp. 589-594, doi: 10.1109/IC2PCT60090.2024.10486714. Available at: https://ieeexplore.ieee.org/document/10486714
- Kazi Kutubuddin Sayyad Liyakat, (2024). Explainable AI in Healthcare. In: Explainable Artificial Intelligence in healthcare System, editors: A. Anitha Kamaraj, Debi Prasanna Acharjya. ISBN: 979-8-89113-598-7. doi: https://doi.org/10.52305/GOMR8163
- Liyakat Kazi, K. S. (2024). ChatGPT: An Automated Teacher’s Guide to Learning. In R. Bansal, A. Chakir, A. Hafaz Ngah, F. Rabby, & A. Jain (Eds.), AI Algorithms and ChatGPT for Student Engagement in Online Learning (pp. 1-20). IGI Global. https://doi.org/10.4018/979-8-3693-4268-8.ch001
- Veena C, Sridevi M, Liyakat KK, Saha B, Reddy SR, Shirisha N. HEECCNB: An Efficient IoT-Cloud Architecture for Secure Patient Data Transmission and Accurate Disease Prediction in Healthcare Systems. In2023 Seventh International Conference on Image Information Processing (ICIIP) 2023 Nov 22 (pp. 407-410). IEEE.. Available at: https://ieeexplore.ieee.org/document/10537627
- K. Rajendra Prasad, Santoshachandra Rao AI in public-private partnership for IT infrastructure development, Journal of High Technology Management Research, Volume 35, Issue 1, May 2024, 100496. https://doi.org/10.1016/j.hitech.2024.100496
- Megha Nagrale, Rahul S. Pol, Ganesh B. Birajadar, Altaf O. Mulani, Internet of Robotic Things in Cardiac Surgery: An Innovative Approach, African Journal of Biological Sciences, (2024), Vol 6, Issue 6, pp. 709-725 doi: 10.33472/AFJBS.6.6.2024.709-725
- Kazi KS. IoT Driven by Machine Learning (MLIoT) for the Retail Apparel Sector. InDriving Green Marketing in Fashion and Retail 2024 (pp. 63-81). IGI Global.
- Kazi KS. Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning. InSocial Reflections of Human-Computer Interaction in Education, Management, and Economics 2024 (pp. 16-39). IGI Global.
- Kazi, K. S. Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation. In S. Satapathy & K. Muduli (Eds.), Advanced Computational Methods for Agri-Business Sustainability (2024).(pp. 72-94). IGI Global. https://doi.org/10.4018/979-8-3693-3583-3.ch005
- Kazi Kutubuddin, Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors, Grenze International Journal of Engineering and Technology, (2024c),Vol 10, Issue 2, pp- 5367-5374.
- Kazi Kutubuddin, A Novel Approach on ML based Palmistry, Grenze International Journal of Engineering and Technology, (2024e), Vol 10, Issue 2, pp- 5186-5193.
- Kazi Kutubuddin, IoT based Boiler Health Monitoring for Sugar Industries, Grenze International Journal of Engineering and Technology, (2024e),Vol 10, Issue 2, pp. 5178 -5185.
- Liyakat, K.K.S.,Explainable AI in healthcare, Explainable Artificial Intelligence in Healthcare Systems, 2024, pp. 271–284
- Kazi Kuttubdin, “Analysis and design of Capacitive coupled wideband Microstrip antenna in C and X band: A Survey”, Journal GSD-International society for green, Sustainable Engineering and Management, 2014, Vol 1, issue 15, pp. 1 – 7.
- Shirdale MY, Kazi KS. Coplanar capacitive coupled probe fed micro strip antenna for C and X band. International Journal of Advanced Research in Computer and Communication Engineering. 2016;5(4):661-3..
- Kazi KS. Machine Learning-Based Pomegranate Disease Detection and Treatment. InRevolutionizing Pest Management for Sustainable Agriculture 2024 (pp. 469-498). IGI Global.
- V. J. Patil, S. B. Khadake, D. A. Tamboli, H. M. Mallad, S. M. Takpere and V. A. Sawant, “Review of AI in Power Electronics and Drive Systems,” 2024 3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC), Mathura, India, 2024, pp. 94-99, doi: 10.1109/PARC59193.2024.10486488.
- V. J. Patil, S. B. Khadake, D. A. Tamboli, H. M. Mallad, S. M. Takpere and V. A. Sawant, “A Comprehensive Analysis of Artificial Intelligence Integration in Electrical Engineering,” 2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Lalitpur, Nepal, 2024, pp. 484-491, doi: 10.1109/ICMCSI61536.2024.00076.
- Suhas B khadake , Pranita J Kashid , Asmita M Kawade , Santoshi V Khedekar , H. M. Mallad., “Electric Vehicle Technology Battery Management – Review”, International Journal of Advanced Research in Science Communication and Technology, vol. 3, no. 2, pp. 319-325, September 2023. https://doi.org/10.48175/ijarsct-13048
- Khadake S, Kawade S, Moholkar S, Pawar M. A Review of 6G Technologies and Its Advantages Over 5G Technology. InTechno-Societal 2016, International Conference on Advanced Technologies for Societal Applications 2022 Dec 9 (pp. 1043-1051). Cham: Springer International Publishing.. https://doi.org/10.1007/978-3-031-34644-6_107