Machine learning inspired compact quad port MIMO antenna with circular polarization for multi band wireless applications

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

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

BEML-sonar: a bio-inspired echolocation and machine learning-enhanced SONAR for underwater object detection and navigation

C. Kishor Kumar Reddy, Vijaya Sindhoori Kaza, P. R. Anisha, Surbhi B. Khan, Asma Alshuhail, Ahlam Almusharraf

Abstract Traditional SONAR systems are widely used for underwater object detection and navigation; however, they suffer from high energy consumption, noise interference, and signal degradation in varying aquatic conditions. Inspired by biological echolocation, we propose a novel…Read more

An explainable AI framework integrating machine and deep learning models for multi-species DNA functional group classification

Pratik Chakraborty, P. B. Shanthi

Abstract DNA functional group classification across species plays a crucial role in understanding genetic diversity, evolutionary relationships and biological function. The increasing availability of genomic data has led to the use of machine learning and deep learning methods fo…Read more

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols

Abdulla Juwaied, Lidia Jackowska-Strumillo

Exploring feature limitations in antimicrobial resistance prediction: machine learning and deep learning in A. baumannii

Zahra Seraj, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, Bahareh Attaran, Sajjad Gharaghani