Results 81 to 90 of about 11,102,357 (292)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
MicroorganismsSand mining activities can significantly impact the microecology of rivers. Scientific studies are needed for the effective protection and restoration of river ecosystems impacted by sand mining activities.
Jia Xia +4 more
doaj +1 more source
Environmental justice and large-scale mining
, 2017 This chapter approaches the environmental injustice of large scale metal mining from three complementary angles. Firstly, we outline some of the key biophysical features of large-scale mining activities (e.g. environmental intensity, temporal length of the activity, territorial impacts) and some of the implications for EJ.
Urkidi Azkarraga, Leire, Walter, Mariana
openaire +2 more sources
Large scale data mining based on data partitioning
Applied Artificial Intelligence, 2001 Dealing with very large databases is one of the defining challenges in data mining research and development. Some databases are simply too large (e.g., with terabytes of data) to be processed at one time. For efficiency and space reasons, partitioning them into subsets for processing is necessary.
Shichao Zhang 0001, Xindong Wu 0001
openaire +1 more source
TEXT MINING – PREREQUISITE FOR KNOWLEDGE MANAGEMENT SYSTEMS [PDF]
Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of ...
Dragoº Marcel VESPAN
core
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Research on seed node mining algorithm in large-scale temporal graph
Tongxin xuebao, 2022 Most of the existing maximizing influence algorithms based on temporal graph were not applicable for large-scale networks due to the low time efficiency or narrow influence range.Therefore, the seed node mining algorithm named CHG combining heuristic ...
Xiaohong ZOU +4 more
doaj +2 more sources
Competitive Reliability Analysis of Heavy-Duty Gears in The Shearer’s Cutting Part
Journal of Applied Science and EngineeringTo improve the working efficiency of the cutting head of a coal cutter, studying the reliability of the heavy-duty gears in the cutting head under the condition of competitive failure was an effective approach.
Minghao Li +3 more
doaj +1 more source
Mining large-scale human mobility data for long-term crime prediction
EPJ Data Science, 2018 Traditional crime prediction models based on census data are limited, as they fail to capture the complexity and dynamics of human activity. With the rise of ubiquitous computing, there is the opportunity to improve such models with data that make for ...
Cristina Kadar, Irena Pletikosa
doaj +1 more source
Advanced Materials, EarlyView.An engineered Trojan Mycobacterium, developed via a “peeling‐off and masking‐up” strategy, functions as a powerful splenic myelopoiesis converter. This spleen‐targeted nanomedicine induces trained immunity to reprogram immunosuppressive myeloid reservoirs into antitumoral effectors.
Jin‐Ho Choi +5 more
wiley +1 more source