Results 1 to 10 of about 5,228 (115)
Don't Stop Me Now, `Cause I'm Having a Good Time Screening: Evaluation of Stopping Methods for Safe Use of Priority Screening in Systematic Reviews. [PDF]
ABSTRACT Introduction Priority screening has the potential to reduce the number of records that need to be annotated in systematic literature reviews. So‐called technology‐assisted reviews (TAR) use machine‐learning with prior include/exclude annotations to continuously rank unseen records by their predicted relevance to find relevant records earlier ...
Repke T +7 more
europepmc +2 more sources
Parametric design method of building structured cabling system oriented to data mining
This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley +1 more source
On Two Apriori-Based Rule Generators: Apriori in Prolog and Apriori in SQL
This paper focuses on two Apriori-based rule generators. The first is the rule generator in Prolog and C, and the second is the one in SQL. They are namedApriori in PrologandApriori in SQL, respectively. Each rule generator is based on the Apriori algorithm. However, each rule generator has its own properties.
Hiroshi Sakai +2 more
openaire +1 more source
GPU-Accelerated Apriori Algorithm [PDF]
This paper propose a parallel Apriori algorithm based on GPU (GPUApriori) for frequent itemsets mining, and designs a storage structure using bit table (BIT) matrix to replace the traditional storage mode. In addition, parallel computing scheme on GPU is discussed.
Jiang Hao +3 more
openaire +2 more sources
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
This paper develops a framework for understanding how key audit matters (KAMs) can be factored into investors’ risk assessments. Detailed interviews with seasoned investors representing international and regional asset managers and owners confirm that the number and type of reported KAMs are not ‘priced’ directly.
Warren Maroun +2 more
wiley +1 more source
Democratising Multi‐Projector Displays
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
Tourism Resource Management and Optimization Based on Internet of Things Edge Computing
Tourism is a major driver of economic growth, contributing to local economies while promoting cultural exchange and environmental awareness. Tourism resource management plays a crucial role in optimizing the efficiency and sustainability of tourism destinations.
Yuli Kan
wiley +1 more source
D-Apriori: An Algorithm to Incorporate Dynamism in Apriori Algorithm
Apriori algorithm mines the data from the large scale data warehouse using association rule mining. In this paper a new algorithm named as Dynamic Apriori (D-Apriori) algorithm is presented. The proposed D-Apriori algorithm incorporates the dynamism in classical Apriori for efficiently mining the frequent itemsets from a large scale database.
N. Badal, S. Bagga
openaire +1 more source

