A survey of graph neural networks in various learning paradigms: methods, applications, and challengesGraphNeural networkDeep learningGraph neural networkIn the last decade, deep learning has reinvigorated the machine learning field. It has solved many problems in computer vision, speech recognition, ...
Another course that uses OCaml to teach alternative programming paradigms, especially functional and concurrent programming. Lecture Slides Assignments CS 4120 Introduction to Compilers Cornell University An introduction to the specification and implementation of modern compilers. Topics covered include lexical...
Most previously published studies, which have found the Dot Counting Test to be poor at the detection of suspect effort, employed simulation paradigms (i.e., college students and/or prison inmates instructed to fake). Some literature has suggested that simulators perform differently from actual pati...
[7] Stein Ch., Virtual reality design: How upcoming head-mounted displays change design paradigms of virtual reality worlds, MediaTropes eJournal, 2016, VI, 52–85Search in Google Scholar [8] Rizzo A., Shilling R., Clinical Virtual Reality tools to advance the prevention, assessment, and tr...
Prediction of Diabetes Using Various Feature Selection and Machine Learning Paradigmsdoi:10.1007/978-3-030-96634-8_12Many health experts have identified diabetes as one of the most widespread diseases. Not only the underdeveloped but also developed countries have a vast majority of their citizens who...
Various paradigms, such as agile development, modular development, and Free and Open Source Software (FOSS) components, etc., have been extensively examined. Yet, the final software’s reliability under real-world computing remains challenging [1]. For instance, FOSS and open-source software are ...
This review explores the latest techniques, applications, and challenges in DL-based CD, examining them through the lens of various learning paradigms, including fully supervised, semi-supervised, weakly supervised, and unsupervised. Initially, the review introduces the basic network architectures for CD...
distinct variations are observed in terms of visual perceptions, olfactory distinctions, and overall sensory satisfaction. This study occupies a crucial position within existing research paradigms by strategically expanding the scope of sensory investigations within the realm of Taiwanese-style thick soup. ...
The MCDM was utilized to investigate the performance of various emergency physicians and develop the suited development paths. The hybrid approach of the MCDM method consists of seven steps: (1) defining critical decision problems, (2) developing the evaluation model with aspect/criteria, (3) build...
While e-nose technology opens avenues for streamlining evaluation processes, guaranteeing efficient and objective assessment methodologies across various industries presents an ongoing challenge compared to traditional paradigms [218]. K. Mitigating Over-Fitting: overfitting, a perennial concern in data ...