V. Devabhaktuni

Detection of X-ray photons by solution-processed lead halide perovskites

A 21st century technique for food control: Electronic noses

Argumentation and explainable artificial intelligence: a survey

Space Mapping: The State of the Art

Cs2AgBiBr6 single-crystal X-ray detectors with a low detection limit

Sensitive X-ray detectors made of methylammonium lead tribromide perovskite single crystals

Generative Model for the Inverse Design of Metasurfaces

Recent advances in surrogate-based optimization

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Self-organizing algorithm for classification of packaged fresh vegetable potentially contaminated with foodborne pathogens

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Neural Network Inverse Modeling and Applications to Microwave Filter Design

Prediction of MEUF process performance using artificial neural networks and ANFIS approaches

Deep learning for the design of photonic structures

Amorphous and Polycrystalline Photoconductors for Direct Conversion Flat Panel X-Ray Image Sensors

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

Deep Learning for Intelligent Human–Computer Interaction

Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping

A robust algorithm for automatic development of neural-network models for microwave applications

Evolving Rule-Based Explainable Artificial Intelligence for Unmanned Aerial Vehicles

Artificial neural networks for rf and microwave design-from theory to practice

Time and exposure dependent x-ray sensitivity in multilayer amorphous selenium detectors

Neural networks for microwave modeling: Model development issues and nonlinear modeling techniques