Results 101 to 110 of about 5,303,694 (282)
Adaptation and Localization of Terminology of Sustainable Development Goals (SDGs) for Application in Innovation and Technology Platforms [PDF]
Objective: In addition to extracting the seventeen United Nations Sustainable Development Goals (SDGs), the present study also emphasizes the translation and localization of these goals.
Forough Rahimi, Farshid Danesh
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Concept-based query expansion for retrieving gene related publications from MEDLINE
Background Advances in biotechnology and in high-throughput methods for gene analysis have contributed to an exponential increase in the number of scientific publications in these fields of study.
Oliveira José +3 more
doaj +1 more source
Durative Events in Active Databases [PDF]
Active databases are DBMS which are able to detect certain events in the environment and trigger actions in consequence. Event detection has been subject of much research, and a number of different event specification languages is extant.
Augusto, Juan Carlos +3 more
core +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Natural-language interfaces to a process-aware, graph-based ELN: An UV coatings case study
This work introduces a process-aware data management framework for formulation research built upon a graph-database architecture. In contrast to conventional electronic laboratory notebooks that rely on relational or document-oriented data structures ...
Gaoyuan Zhang +3 more
doaj +1 more source
Object-oriented modeling and design of database federations [PDF]
We describe a logical architecture and a general semantic framework for precise specification of so-called database federations. A database federation provides for tight coupling of a collection of heterogeneous component databases into a global ...
Balsters, H.
core

