Results 141 to 150 of about 1,864,069 (342)
Down-Streaming Impact to the Competitiveness of Indonesia Cocoa
The objective of this paper is to provide qualitative and quantitative analysis on the competitiveness of Indonesia cocoa beans post down-streaming push by the Government of Indonesia.
Irfan Nabhani
doaj +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar+3 more
wiley +1 more source
ObjectiveDifferent from the basic layout of traditional automated three-dimensional warehouses, steel plate goods are often stacked in the automated storage and retrieval system (AS/RS) rather than stored on high-rise shelves. This difference renders the
ZHONG Chuanjie+4 more
doaj
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali+5 more
wiley +1 more source
Mobile robots often follow humans in warehouse environments or indoor office spaces. A mobile robot requires a control system that stably follows humans without colliding with them. A human-following robot is composed of target detection, target tracking,
Jaehong Park+2 more
doaj +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki+3 more
wiley +1 more source
Advances in Organic In‐Sensor Neuromorphic Computing: from Material Mechanisms to Applications
This review discusses organic in‐sensor neuromorphic computing for wearable and bioelectronic systems, with a focus on memory‐based and OECT‐based synaptic devices. It highlights key design principles, recent advances, and existing challenges. By integrating sensing and processing within organic materials, the approach enables real‐time, low‐power, and
Dong Hyun Lee+3 more
wiley +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir+4 more
wiley +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi+5 more
wiley +1 more source