RF-Based Moisture Content Determination in Rice Using Machine Learning Techniques

A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes

(2019) Abdul Syafiq Abdull Sukor et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Di-Sense: In situ real-time permittivity estimation and soil moisture sensing using wireless underground communications

(2019) Abdul Salam et al.   Computer Networks

Smarter Traffic Prediction Using Big Data, In-Memory Computing, Deep Learning and GPUs

(2019) Muhammad Aqib et al.   SENSORS

A survey on deep learning based face recognition

(2019) Guodong Guo et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

A Comparison of Machine Learning Methods for the Prediction of Traffic Speed in Urban Places

(2019) Charalampos Bratsas et al.   Sustainability

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

(2018) Ramendra Prasad et al.   GEODERMA

Microwave testing of moist and oven-dry wood to evaluate grain angle, density, moisture content and the dielectric constant of spruce from 8 GHz to 12 GHz

(2017) Andreas Aichholzer et al.   European Journal of Wood and Wood Products

Does climate change affect period, available field time and required capacities for grain harvesting in Brandenburg, Germany?

(2015) Annette Prochnow et al.   AGRICULTURAL AND FOREST METEOROLOGY

WIDEBAND SOUNDER FOR DYNAMIC AND STATIC WIRELESS CHANNEL CHARACTERISATION: URBAN PICOCELL CHANNEL MODEL

(2015) David Lorater Ndzi et al.   Progress in Electromagnetics Research-PIER

DIELECTRIC STUDY OF BOUND WATER IN GRAIN AT RADIO AND MICROWAVE FREQUENCIES

(2008) Vladimir M. Serdyuk   Progress in Electromagnetics Research-PIER

The effect of moisture level on high-moisture maize (Zea mays L.) under hermetic storage conditions—in vitro studies

(2007) Z.G. Weinberg et al.   JOURNAL OF STORED PRODUCTS RESEARCH