Comparative machine learning analysis of energy and exergy performance in evacuated tube solar air heater with pierced twisted tape

Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition

Pouya Bohlol, Mohammad Hasan Sabet Dizavandi, Syed Saeid Mohtasebi, Mahmoud Omid

Abstract The fusion multi-sensory system with optimized deep learning and machine learning algorithms appeared to synergize difficult paradigms in precision agriculture and boost recognition of various plant species. In this study, an electronic nose (E-nose) system with eight MO…Read more

Machine learning–assisted performance prediction of graphene–silicon twin-port band-notched wideband antenna for THz 6G communication systems

Goutam Datta, Nagesh Kallollu Narayanaswamy, Asha Verma, Pooja Singh, Sreedhar Jadapalli, Neha K. Saini, et al.

Abstract A graphene–silicon-based twin-port terahertz (THz) antenna is proposed and investigated in this work. The antenna employs an aperture-coupled asymmetric ring dielectric resonator configuration to achieve wideband operation in the THz regime. Circular metallic rings integ…Read more

Advanced fraud detection in financial systems: a comparative study of machine learning models on imbalanced data

Xiangting Shi, Yakang Zhang, Manning Yu, Jianan Chen

An energy efficient reliable machine learning based fuzzy fault tolerant model with self-healing routing in wireless sensor networks

Manoj Kumar Reddy Devarla, S. V. N. Santhosh Kumar

A comparative study of machine and deep learning models for time-series-based bearing fault diagnosis of induction motors

Kamal Hamani, Martin Kuchar, Martin Sobek, Vojtech Sotola, Petr Palacky

Comparative evaluation of geostatistical and machine learning approaches for seasonal mapping of soil salinity in agricultural lands

Song Geng, Zhuolin Li, C Zhang, Yu Yi