Results 111 to 120 of about 110,266 (316)
We report a multifunctional tapered optical fiber integrating a conformal micro‐resistance temperature detector (µRTD) for local, real‐time thermometry during optical stimulation. The platform combines light‐delivery and temperature sensing within a minimally invasive footprint, enabling detection of sub‐degree cortical heating under representative ...
Antonio Balena +6 more
wiley +1 more source
MinerLSD: efficient mining of local patterns on attributed networks
Local pattern mining on attributed networks is an important and interesting research area combining ideas from network analysis and data mining. In particular, local patterns on attributed networks allow both the characterization in terms of their ...
Martin Atzmueller +3 more
doaj +1 more source
Sequential Pattern Mining and Nonmonotonic Reasoning for Intelligent Information Agents
[[abstract]]With the explosive growth of information available on the Internet, more effective data mining and data reasoning mechanism is required to process the sheer volume of information. Belief revision logic offers the expressive power to represent
吳勝堂;Wu, Sheng-Tang
core
Flexible neutral Zn‐air batteries achieving a remarkable 3000‐cycle lifespan and withstanding 1000 bending cycles are reported. This performance is realized by employing a 3D physically cross‐linked neutral hydrogel electrolyte that integrates high adhesion, self‐healing, O2 permeability, and CO2 tolerance to resolve critical stability challenges ...
Zhenyu Sun +3 more
wiley +1 more source
Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
Frequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan +3 more
doaj +1 more source
Mining Temporal Patterns in Time Interval-Based Data
Sequential pattern mining is an important subfield in data mining. Recently, applications using time interval-based event data have attracted considerable efforts in discovering patterns from events that persist for some duration.
Chen, Yi-Cheng;Peng, Wen-Chih;Lee, Suh-Yin +1 more
core +1 more source
A hierarchical hydrogel evaporator with a thin, porous photothermal layer of fused core–shell carbon‐polymer nanospheres enables ultrafast interfacial solar evaporation with minimized heat loss and sufficient water supply. Directional advection‐dominated brine transport, coupled with Marangoni‐driven interfacial flow, drives salt away from the active ...
Haokun Shen +11 more
wiley +1 more source
A frequent pattern mining algorithm for feature extraction of customer reviews [PDF]
Online shoppers often have different idea about the same product. They look for the product features that are consistent with their goal. Sometimes a feature might be interesting for one, while it does not make that impression for someone else ...
Ibrahim, Roliana +3 more
core
Deploying approaches for pattern refinement in text mining [PDF]
Text mining is the technique that helps users find useful information from a large amount of digital text documents on the Web or databases. Instead of the keyword-based approach which is typically used in this field, the pattern-based model containing ...
Yuefeng Li +5 more
core +1 more source
Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan +6 more
wiley +1 more source

