output
20122025
most citedFault Detection of Broken Rotor Bar in LS-PMSM Using Random Forests

143 citations

26 papers

cs.LG2025

Randomness and Interpolation Improve Gradient Descent

Jiawen Li, Pascal Lefevre, Anwar Pp Abdul Majeed

Based on Stochastic Gradient Descent (SGD), the paper introduces two optimizers, named Interpolational Accelerating Gradient Descent (IAGD) as well as Noise-Regularized Stochastic…

gr-qc2025

Properties of the magnetic universe with positive cosmological constant

Yu-Xuan Toh, Yun-Ten Chin, Ethan Quanrun Wu +1

The properties of the Melvin-type spacetime with a positive cosmological constant in -dimensional Einstein--Maxwell gravity is studied. The solution is parametrised in terms…

cs.SD2025★ 5 cited

Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML

Kong Ka Hing, Mehran Behjati

Hornbills, an iconic species of Malaysia's biodiversity, face threats from habi-tat loss, poaching, and environmental changes, necessitating accurate and real-time population monit…

eess.SP2025★ 6 cited

Advancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices

Huam Ming Ken, Mehran Behjati

The escalation of urban air pollution necessitates innovative solutions for real-time air quality monitoring and prediction. This paper introduces a novel TinyML-based system desig…

cs.CY2025★ 7 cited

Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances

Sara Yarham, Mehran Behjati

Monitoring air quality and environmental conditions is crucial for public health and effective urban planning. Current environmental monitoring approaches often rely on centralized…

cs.CR2025★ 2 cited

An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)

Wasim Abbas, Salaki Reynaldo Joshua, Asim Abbas +1

Encryption is crucial for securing sensitive data during transmission over networks. Various encryption techniques exist, such as AES, DES, and RC4, with AES being the most renowne…