The interplay between magnetism and superconductivity can lead to unconventional proximity and Josephson effects. A related phenomenon that has recently attracted considerable attention is the superconducting diode effect, in...
Linking data by finding matching instances in different datasets requires considering many characteristics, such as structural heterogeneity, implicit knowledge, and URI (Uniform Resource Identifier)-oriented identification. The...
To address this research possibility, the present empirical study undertakes the assessment of usable-security of healthcare software system. The attributes considered for the assessment are: four factors at first level;...
Multimedia case studies are effective constructivist instructional tools that can help to design contextually authentic scenarios while also scaffolding instruction to help students move beyond their current skill and knowledge...
In this article, a genetic algorithm (GA) is used for optimizing a metamodel of surface roughness (R_a ) in drilling glass-fibre reinforced plastic (GFRP) composites. A response surface methodology (RSM) based three levels (-1...
NMR spectroscopy is a powerful tool that is commonly used to assess the degradation of lithium-ion battery electrolyte solutions. However, dissolution of paramagnetic Ni2+ and Mn2+ ions from cathode...
As the voluminous amount of data is generated because of inexorably widespread proliferation of electronic data maintained using the Electronic Health Records (EHRs). Medical health facilities have great potential to discern the...
Performance evaluation is a systematic way for companies to analyze their current status and progress to reach their goals. Companies constantly evaluate their processes in research and development, purchasing, production, sales...
The aim of this study is to ex amine the impact of human resource planning (HRP) in achieving strategic goal of the firm and organizational productivity. Structural equation modeling (SEM) approach is used to investigate causal...
Human society has entered the era of intelligence. Social development in the era of intelligence has spawned a large number of intelligent applications. Intelligent applications have put forward unprecedented requirements on the...
Particle swarm optimization (PSO) algorithm is proposed to deal with text summarization for the Punjabi language. PSO is based on intelligence that predicts among a given set of solutions which is the best solution. The search...
Engineering sustainable cyber-physical-social systems demand a transdisciplinary approach. Within an arbitrary domain, many systems, including those of the physical and cyber categories, may already be in-situ; however...
During the seventeenth and eighteenth centuries, travel in Europe passed from the ranks of the adventurer and explorer to that of the ordinary person. In particular, travel to continental Europe became popular with he British....
Through user characteristic information, user interaction behavior, commodity characteristic information, recommendation engine, and related technologies in data mining, this paper makes a more in-depth study, and analyzes the...
Much has been written about the field of International Relations (IR) in both substantive and methodological terms. One of the most contentious aspects of the IR as a scholarly discipline revolves around one deceptively...
This chapter draws from Australian studies to explore policies associated with behavioral interventions for environmental stewardship. Each case focuses on attempts to influence the eco-behaviors of recreational users of aquatic...
With the recent development in the economic system, the requirement for logistic services has also increased gradually. This increased the demand for efficient and cost-effective delivery services without compromising the...
In a relational database, classification algorithms are used to look for patterns across several interconnected relations. Most of the methods for multi-relational classification algorithms implicitly assume that the classes in...
Up to the present, various methods such as Data Mining, Machine Learning, and Artificial Intelligence have been used to get the best assess from huge and important data resource. Deep Learning, one of these methods, is extended...