Results 51 to 60 of about 326,853 (296)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Optimizing the potential of Indonesian coffee: a dual market approach
Indonesia, the fourth-largest coffee producer in the world, mainly produces the Robusta variety, while also being well-known for producing high-quality Arabica coffee beans.
Fitrio Ashardiono, Agus Trihartono
doaj +1 more source
Potential of rust-resistant arabica coffee cultivars for specialty coffee production
Rust is the main disease affecting Coffea arabica, the most economically important coffee species. The objective of this study was to analyze C. arabica cultivars with different levels of rust resistance, including bean size, raw bean appearance, final sensory scores (FSS), and aroma and taste nuances of the coffee cup.
Tharyn Reichel +4 more
openaire +2 more sources
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Geographical Indications of Origin as a Tool of Product Differentiation : The Case of Coffee [PDF]
An increasing interest in geographical indications of origin (GIs) as a tool of product differentiation can be observed in the so-called specialty coffee sector.
Teuber, Ramona
core +2 more sources
The possible application of a simple analytical method based on a UV (ultraviolet) spectral dataset coupled with SIMCA (soft independent modeling of class analogy) for authentication of Indonesian specialty ground roasted coffee with different botanical ...
Diding Suhandy +3 more
doaj +1 more source
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang +5 more
wiley +1 more source
½M Coffee: A Saudi Specialty Coffee Phenomenon
This study examines ½M Coffee as a distinctive phenomenon at the intersection of Saudi Arabia's Vision 2030 transformation, geopolitical consumer activism, and the evolution of cultural diplomacy. While existing literature addresses specialty coffee markets or soft power separately, this research reveals how a single domestic brand has become an ...
Kurniawan Arif Maspul +1 more
openaire +1 more source
MODELING DYNAMIC ADSORPTION ISOTHERMS AND THERMODYNAMIC PROPERTIES OF SPECIALTY GROUND ROASTED-COFFEE (Coffee Arabica L.) [PDF]
Specialty coffee is highly differentiated product because of its sensorial attributes: aroma, body and brand reputation. In specialized markets, these products are highly valued, and sometimes up to six times their commercial value is paid.
Collazos-Escobar, Gentil Andres +2 more
core

