activity
20202023
most citedHybrid Machine Learning Models for Crop Yield Prediction

16 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 4 cited

Assessment of the Utilization of Quadruped Robots in Pharmaceutical Research and Development Laboratories

Brian Parkinson, Ádám Wolf, Péter Galambos +1

Drug development is becoming more and more complex and resource-intensive. To reduce the costs and the time-to-market, the pharmaceutical industry employs cutting-edge automation s…

cs.RO2022★ 10 cited

Towards Robotic Laboratory Automation Plug & Play: Survey and Concept Proposal on Teaching-free Robot Integration with the LAPP Digital Twin

Ádám Wolf, Stefan Romeder-Finger, Károly Széll +1

The Laboratory Automation Plug & Play (LAPP) framework is an over-arching reference architecture concept for the integration of robots in life science laboratories. The plug & play…

cs.RO2021★ 3 cited

Towards Robotic Laboratory Automation Plug & Play: The "LAPP" Framework

Ádám Wolf, David Wolton, Josef Trapl +6

Increasing the level of automation in pharmaceutical laboratories and production facilities plays a crucial role in delivering medicine to patients. However, the particular require…

cs.NE2020★ 16 cited

Hybrid Machine Learning Models for Crop Yield Prediction

Saeed Nosratabadi, Felde Imre, Karoly Szell +3

Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based…

eess.SP2020

Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System

Sina Ardabili, Bertalan Beszedes, Laszlo Nadai +3

Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models. Hybrid machine learning model…