Current - Issue

[1]. P. Sharma and A. Kumar, “IoT-based Elephant Intrusion Detection System Using Wireless Sensor Networks,” International Journal of
Advanced Research in Electronics and Communication Engineering, vol. 9, no. 4, pp. 112–118, 2020.
[2]. R. Nair, J. Thomas, and A. George, “LoRa-Enabled Long-Range Communication for Wildlife Monitoring in Dense Forest Regions,”
IEEE Access, vol. 9, pp. 55421– 55432, 2021.
[3]. S. Banerjee and P. Roy, “Smart Wildlife Monitoring System Using IoT and Embedded Sensors,” Journal of Ambient Intelligence an d
Humanized Computing, vol. 13, no. 5, pp. 2451–2463, 2022.
[4]. S. Banerjee and P. Roy, “Smart Wildlife Monitoring System Using IoT and Embedded Sensors,” Journal of Ambient Intelligence an d
Humanized Computing, vol. 13, no. 5, pp. 2451–2463, 2022.
[5]. A. Sharma, R. Verma, and P. Singh, “Real-Time Elephant Detection Using Vibration Sensors and Wireless Communication,”
International Journal of Computer Applications, vol. 184, no. 21, pp. 15–22,2023.
[6]. K. Nguyen, T. Le, and H. Pham, “Low-Power IoT System for Wildlife Detection and Monitoring,” IEEE Internet of Things Journal, vol.
10, no. 7, pp. 6012– 6021, 2023.
[7]. D. Patel and S. Shah, “Machine Learning-Based Animal Detection System Using IoT Sensors,” Journal of Smart Environmental
Monitoring, vol. 11, no. 3, pp. 98–107,2022.
[8]. H. Huidrom and R. Devi, “Automated Elephant Alert System for Human–Wildlife Conflict Prevention,” in Proc. IEEE Int. Conf. on
Smart Systems and Automation, 2022, pp. 144–149.
[9]. Y. Zhang and X. Huang, “An Intelligent Monitoring System for Forest and Wildlife Environments Using IoT,” Sensors, vol. 23, no. 7,
pp. 3456–3470, 2023.
[10]. P. Oleksy, “Localization of Wireless Monitoring Systems Using LoRa and GPS Technologies,” Electronics, vol. 12, no. 4, pp. 784–796,2023.
[11]. J. Herp et al., “AI-Assisted Wildlife Detection and Monitoring Using Embedded Vision Systems,” Sensors, vol. 21, no. 15, pp. 5120–
5134, 2021.
[12]. A. Al-Talib, M. Hassan, and K. Rahman, “IoT-Based Smart Monitoring System Using ESP32,” in Proc. International Conf. on
Automation, Robotics and Optimization (ICAROB), 2024, pp. 210–215.
[13]. G. J. Taupa, M. K. Das, and A. Roy, “Solar-Powered IoT Systems for Remote Environmental Monitoring,” in Proc. IEEE Int. Conf. on
Data Science and Intelligent Technology (DSIT), 2024, pp. 98–103.
[14]. S. Kumar, A. Verma, and R. Singh, “Smart Monitoring System Using ESP32 and Cloud Computing,” in Proc. IEEE Int. Conf. on Smart
Systems (ICSS), 2023, pp. 144–149.
[15]. Gupta and R. Mehta, “AI-Based Anomaly Detection Using Sensor Data in IoT Systems,” IEEE Internet of Things Journal, vol. 10,
no. 5, pp. 4123–4135, 2023.
[16]. R. K. Singh and P. Mishra, “Wireless Sensor Network for Elephant Intrusion Detection in Forest Border Areas,” International Journal
of Sensor Networks, vol. 18, no. 2,pp. 88–96, 2022.
[17]. M. El-Dosuky, “Semantic IoT Framework for Smart Environmental Monitoring Applications,” Future Generation Computer Systems,
vol. 145, pp. 234–245, 2025.
[18]. A. I. Károly, G. Kovács, and P. Tóth, “Deep Learning- Based Wildlife Detection Using Embedded Vision Systems,” IEEE Transactions
on Artificial Intelligence, vol. 6, no. 1, pp. 45–56, 2025.
[19]. S. Rana, P. Verma, and K. Gupta, “Sensor-Based Smart Wildlife Monitoring System Using IoT,” in Proc. Smart IoT Conf., 2023, pp.
55–60.
[20]. A. Sharma and R. Verma, “Integration of Machine Learning and IoT for Smart Wildlife Monitoring Applications,” Journal of Ambient
Intelligence and Humanized Computing, vol. 14, no. 8, pp. 1123–1135,2024.