Modeling and optimization of developed cocoa beans extractor parameters using box behnken design and artificial neural network

V Srikanth, GK Rajesh, A Kothakota… - … and Electronics in …, 2020 - Elsevier
Breaking the cocoa pod and extracting the beans is a strenuous and laborious task; hence
an attempt was made to design and optimize a mechanized continuous cocoa beans …

Prediction of the mixed mode I/II fracture toughness of PMMA by an artificial intelligence approach

A Wiangkham, A Ariyarit, P Aengchuan - Theoretical and Applied Fracture …, 2021 - Elsevier
Artificial intelligence is playing an increasing role in materials testing, whether it is in a new
material design, designing new testing methods, or creating a model to predict materials …

Modeling and Optimizing the Performance of Green Forage Maize Harvester Header Using a Combined Response Surface Methodology–Artificial Neural Network …

Z Xue, J Fu, Q Fu, X Li, Z Chen - Agriculture, 2023 - mdpi.com
Green forage maize harvesters face challenges such as high soil humidity and soft soil in
the field, mismatched working parameters, and poor reliability and adaptability. These …

Optimizing the working performance of a boat-type tractor using central composite rotatable design and response surface method

Q Jiang, Z He, Y Wang, J Wang - Computers and Electronics in Agriculture, 2021 - Elsevier
Optimization of the structural and working parameters for a boat-type tractor is essential to
improve the working performance and reduce the energy consumption of the agricultural …

Designing and modeling the power transmission mechanism for existing walking tractors to facilitate their guidance and turning

A Soleimani, MH Abbaspour-Fard, A Rohani… - International Journal on …, 2024 - Springer
Small plots of less than two hectares are prevalent in developing countries, and most
agricultural activities are carried out using walking two-wheel tractors, commonly known as …

Application of a design for excellence methodology for a wireless charger housing in underwater environments

PNAAS Pereira, RDSG Campilho, AMG Pinto - Machines, 2022 - mdpi.com
A major effort is put into the production of green energy as a countermeasure to climatic
changes and sustainability. Thus, the energy industry is currently betting on offshore wind …

Edge AI for real-time and Intelligent Agriculture

JB Prajapati, A Kumar, J Pramanik… - … and Robotics for …, 2023 - igi-global.com
Advancements of the last decade in edge computing, edge IoT, and edge artificial
intelligence now allow for autonomous, efficient, and intelligent systems to be proposed for …

Exploring the potential of artificial intelligence tools in enhancing the performance of an inline pipe turbine

K Celebioglu, E Ayli, H Cetinturk… - Proceedings of the …, 2024 - journals.sagepub.com
In this study, investigations were conducted using computational fluid dynamics (CFD) to
assess the applicability of a Francis-type water turbine within a pipe. The objective of the …

Optimising the steering clutch of a walking tractor using soft computing approaches

A Soleimani, J Baradaran Motie - Australian Journal of Mechanical …, 2024 - Taylor & Francis
Walking tractors are often used for weeding gardens, small fields, vineyards, and
greenhouses. The clutch fork arm (CFA), which is used on the rotary axle, is subject to high …

Prediction of the onset of shear localization based on machine learning

S Akar, E Aylı, O Ulucak, D Uğurer - AI EDAM, 2023 - cambridge.org
Predicting the onset of shear localization is among the most challenging problems in
machining. This phenomenon affects the process outputs, such as machining forces, surface …