# | Document title | Authors | Year | Source | Cited by |
1 | VegNet: Dataset of vegetable quality images for machine learning applications | Suryawanshi Y., Patil K., Chumchu P. | 2022 | Data in Brief 45 | 30 |
2 | Coconut (Cocos nucifera) tree disease dataset: A dataset for disease detection and classification for machine learning applications | Thite S., Suryawanshi Y., Patil K., Chumchu P. | 2023 | Data in Brief 51 | 19 |
3 | Dataset of Indian and Thai banknotes with annotations | Meshram V., Patil K., Chumchu P. | 2022 | Data in Brief 41 | 18 |
4 | NO2 pollutant concentration forecasting for air quality monitoring by using an optimised deep learning bidirectional GRU model | Sonawani S., Patil K., Chumchu P. | 2021 | International Journal of Computational Science and Engineering 24(1),pp. 64-73 | 17 |
5 | Sugarcane leaf dataset: A dataset for disease detection and classification for machine learning applications | Thite S., Suryawanshi Y., Patil K., Chumchu P. | 2024 | Data in Brief 53 | 16 |
6 | Mint leaves: Dried, fresh, and spoiled dataset for condition analysis and machine learning applications | Jadhav R., Suryawanshi Y., Bedmutha Y., Patil K., Chumchu P. | 2023 | Data in Brief 51 | 15 |
7 | A new MAC address spoofing detection algorithm using PLCP header | Chumchu P., Saelim T., Sriklauy C. | 2011 | International Conference on Information Networking 2011, ICOIN 2011 ,pp. 48-53 | 15 |
8 | Dataset of cannabis seeds for machine learning applications | Chumchu P., Patil K. | 2023 | Data in Brief 47 | 9 |
9 | A comprehensive lemongrass (Cymbopogon citratus) leaf dataset for agricultural research and disease prevention | Patil K., Patil K., Suryawanshi Y., Patrawala A., Chumchu P. | 2024 | Data in Brief 53 | 8 |
10 | A comprehensive dataset of damaged banknotes in Indian currency (Rupees) for analysis and classification | Meshram V., Meshram V., Patil K., Suryawanshi Y., Chumchu P. | 2023 | Data in Brief 51 | 7 |
11 | A simple and cheap end-to-end voice encryption framework over GSM-based networks | Chumchu P., Phayak A., Dokpikul P. | 2012 | 2012 Computing, Communications and Applications Conference, ComComAp 2012 ,pp. 210-214 | 7 |
12 | Simplify adaptive IIR notch filter based on least mean p-power error criterion | Chumchu P. | 1998 | IEEE Asia-Pacific Conference on Circuits and Systems - Proceedings ,pp. 335-338 | 7 |
13 | The reduction of gradient noise in gradient-based algorithm by using variable step-size technique | Punchalard R., Chumchu P., Benjangkaprasert C., Anantrasirichai N., Sangaroon O., Jenjerapongvej K. | 2000 | IEEE Asia-Pacific Conference on Circuits and Systems - Proceedings ,pp. 415-418 | 6 |
14 | Empowering agricultural research: A comprehensive custard apple (Annona squamosa) disease dataset for precise detection | Thite S., Patil K., Patil K., Jadhav R., Suryawanshi Y., Chumchu P. | 2024 | Data in Brief 53 | 6 |
15 | Multi-level reliable mobile multicast supporting SRM (Scalable Reliable Multicast) | Chumchu P., Seneviratne A. | 2002 | IEEE Vehicular Technology Conference 3,pp. 1410-1414 | 5 |
16 | Performance analysis of reliable multicast transport protocols for GEO satellite networks | Chumchu P., Boreli R., Seneviratne A. | 2004 | Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS ,pp. 318-326 | 4 |
17 | A Leak Detection in Water Pipelines Using Discrete Wavelet Decomposition and Artificial Neural Network | Chumchu P. | 2021 | Communications in Computer and Information Science 1365,pp. 49-65 | 4 |
18 | Plumbago Zeylanica (Chitrak) leaf image dataset: A comprehensive collection for botanical studies, herbal medicine research, and environmental analyses | Patil K., Patil K., Suryawanshi Y., Dhoka A., Chumchu P. | 2024 | Data in Brief 52 | 4 |
19 | Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens | Visvanathan G., Patil K., Suryawanshi Y., Chumchu P. | 2023 | Data in Brief 49 | 4 |
20 | Design and implementation of micro mobile MPLS for NS-2 | Sanguanwongthong T., Chumchu P. | 2008 | VALUETOOLS 2008 - 3rd International Conference on Performance Evaluation Methodologies and Tools
| 4 |
21 | An extension to IEEE 802.11 power save mode for NS-3 | Chumchu P. | 2015 | International Conference on Ubiquitous and Future Networks, ICUFN 2015-August,pp. 799-804 | 3 |
22 | A model-based scalable reliable multicast transport protocol for wireless/mobile networks | Chumchu P., Zhou Z., Seneviratne A. | 2005 | IEICE Transactions on Communications E88-B(4),pp. 1403-1411 | 3 |
23 | Mobile MPLS with route optimization: The proposed protocol and simulation study | Polvichai S., Chumchu P. | 2011 | Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011 ,pp. 34-39 | 3 |
24 | Performance analysis and improvement of mobile MPLS | Chumchu P., Sirisaingkarn S., Mayteevarunyou T. | 2011 | International Conference on Information Networking 2011, ICOIN 2011 ,pp. 317-322 | 2 |
25 | Seamless handover for high velocity mobile station in WiMAX | Poolnisai P., Chumchu P. | 2013 | 13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013 ,pp. 35-40 | 2 |
26 | Face mask wearing image dataset: A comprehensive benchmark for image-based face mask detection models | Suryawanshi Y., Meshram V., Meshram V., Patil K., Chumchu P. | 2023 | Data in Brief 51 | 2 |
27 | The image dataset of Indian coins: A machine learning approach for Indian currency | Suryawanshi Y., Meshram V., Patil K., Patil K., Testani M., Chumchu P., Sharma A. | 2024 | Data in Brief 53 | 2 |
28 | BHRAMARI: Bug driven highly reusable automated model for automated test bed generation and integration | Patel S., Patil K., Patil K., Chumchu P. | 2024 | Software Impacts 21 | 2 |
29 | HelmetML: A dataset of helmet images for machine learning applications | Patil K., Patil K., Jadhav R., Suryawanshi Y., Chumchu P., Khare G., Shinde T. | 2024 | Data in Brief 56 | 1 |
30 | A comprehensive dataset of eight Thai cannabis classes for botanical exploration | Patil K., Patil K., Chumchu P. | 2024 | Data in Brief 54 | 1 |
31 | Performances comparing between adaptive IIR lattice notch filter and adaptive IIR notch filter with constrained poles and zeros using plain gradient algorithm | Punchalard R., Lertvasana W., Chumchu P. | 2003 | Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 2,pp. 575-578 | 1 |
32 | Multi-headed CNN-GRU model for particulate matter (PM2.5) concentration prediction in smart cities | Sonawani S., Patil K., Chumchu P. | 2023 | International Journal of Environment and Waste Management 32(3),pp. 257-272 | 1 |
33 | Delayed adaptive filtering based on NLMS algorithm with an error adjustment procedure | Somjai P., Chumchu P., Demeechai T. | 1998 | IEEE Asia-Pacific Conference on Circuits and Systems - Proceedings ,pp. 323-325 | 1 |
34 | An analysis comparison of reliability mechanisms for improving reliable mobile multicast protocols | Chumchu P., Zhou Z., Seneviratne A. | 2005 | IEICE Transactions on Communications E88-B(3),pp. 1149-1168 | 1 |
35 | Mobility support in private networks using RPX | Rattananon S., Seneviratne A., Landfeldt B., Chumchu P. | 2005 | Proceedings - Conference on Local Computer Networks, LCN 2005,pp. 729-737 | 1 |
36 | Adaptive Packet Level Redundancy Mechanisms for Reliable Mobile Multicast: Proposed Architecture and Performance Analysis | Chumchu P., Chumchu P., Seneviratne A. | 2002 | Proceedings of the First International Conference on Information Technology and Applications (ICITA 2002) ,pp. 13-18 | 1 |
37 | Towards "always-connected" wireless network: A framework of infrastructureless networks | Zhou Z., Chumchu P., Rattananon S., Seneviratne A. | 2004 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2918,pp. 163-173 | 0 |
38 | A new algorithm for location-based access control using IAPP in WLANs | Saelim T., Chumchu P. | 2011 | International Conference on Information Networking 2011, ICOIN 2011 ,pp. 132-137 | 0 |
39 | Adaptive handover for mobile WiMAX | Poolnisai P., Chumchu P. | 2013 | 13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013 ,pp. 222-226 | 0 |
40 | Soft per-flow throughput guarantees in contention based WLANs | Nyandoro A., Chumchu P., Hassan M. | 2003 | IEEE International Conference on Networks, ICON ,pp. 653-658 | 0 |
41 | Enhanced power saving mechanism for supporting broadcast/multicast services in IEEE 802.11 wireless LANs | Akkaraputtipat P., Phayak A., Mayteevarunyoo T., Chumchu P. | 2016 | 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2016
| 0 |
42 | Editorial | Hu C.L., Chumchu P., Shibata Y. | 2019 | International Journal of Internet Protocol Technology 12(2),pp. I-II | 0 |
43 | Multi-object urban dataset: A resource for detecting pedestrians, traffic and motorbikes | Patil K., Patil K., Gatagat D., Rumane O., Pashankar S., chumchu P. | 2024 | Data in Brief 57 | 0 |
44 | Exploring the natural pothole dataset generated by the abrasion and cavitation effects of river water on rocks | Jadhav R., Thite S., Pawar S., Patil K., Patil K., Chumchu P. | 2024 | Data in Brief 57 | 0 |
45 | Facilitating spice recognition and classification: An image dataset of Indian spices | Thite S., Godse D., Patil K., Patil K., Chumchu P., Nyandoro A. | 2024 | Data in Brief 57 | 0 |
46 | Dataset of Centella Asiatica leaves for quality assessment and machine learning applications | Jadhav R., Molawade M., Bhosle A., Suryawanshi Y., Patil K., Chumchu P. | 2024 | Data in Brief 57 | 0 |
47 | Evaluating the landscape of preventative testing software tools: a comparative study | Patel S., Patil K., Chumchu P. | 2024 | International Journal of Quality Engineering and Technology 10(3),pp. 265-286 | 0 |