The study explores the terrain of dataanalysis by delving into data Insights Nexus, a comprehensive system at the forefront of this field. The application integrates machine learning modeling, dynamic 2D/3D visualiza...
详细信息
The aim of this paper is to carry out a comprehensive review of 921 papers in the Scopus database on "building energy analysis using BIM" from 2005 to 2022. Using a systematic approach to the primary data in...
详细信息
As urbanization accelerates, data on the diverse aspects of urban life, including the environment, finance, and transportation, are increasing exponentially. Single-domain dataanalysis falls short for complex tasks, ...
详细信息
There exist various multi-objective optimization problems(MOPs) in the real world that require acquiring diverse solutions efficiently. Various multi-objective evolutionary algorithms (MOEAs) have been proposed to sol...
详细信息
"In a perfect world, free from budgets, every piece of data that is collectable would be collected, and every byte would be analyzed [...]". Big dataanalysis frameworks have already found their way into mai...
详细信息
"In a perfect world, free from budgets, every piece of data that is collectable would be collected, and every byte would be analyzed [...]". Big dataanalysis frameworks have already found their way into mainstream application and have seen wide-spread deployment in scientific communities as well as in organizations across different industry fields. Moreover, also AI-support is a necessary requirement for modern (big data) analysis applications nowadays. An exemplar industrial application domain highlighting the necessity of AI-supported dataexploration in a real-world big dataanalysis application scenario is the risk analysis (economic risks) of building and construction projects. Currently, economical risk analysis is largely based on so-called expert knowledge, an experience- and intuition-based analysis of the risk. Even this experience-based (manual) process can be formalized in different ways, "construction projects are characterized by carrying a high level of uncertainty and complexity". With a strong focus on the project execution phase, this paper outlines how ML algorithms can be applied to automatically predict the financial outcome based on financial controlling data and thus to potentially assist in mitigation of financial losses.
This study investigates the challenging task of training visual models with very few available data, further complicated by the distribution being imbalanced and scattered across nodes. To address this diverse availab...
详细信息
ISBN:
(纸本)9798350307443
This study investigates the challenging task of training visual models with very few available data, further complicated by the distribution being imbalanced and scattered across nodes. To address this diverse availability of training data in different federated settings, a customized self-supervised learning approach tailored specifically for each scenario is being proposed. In particular, a hybrid approach combining self-supervised and supervised learning techniques under a federated umbrella has been utilized at both the global and local level, harnessing the potential of unlabeled data. Extensive experiments provide a detailed analysis of the problem at hand and demonstrate the particular characteristics of the proposed learning schemes in distributed scenarios. The overall proposed approach achieves superior recognition performance in the currently broadest public dataset, surpassing all baselines by a substantial margin. The proposed solution can operate efficiently at a local level without prior knowledge of the characteristics or distribution of data across nodes.
Medical dataanalysis is a critical process aimed at extracting valuable insights and knowledge from complex healthcare information. It plays a vital role in enhancing diagnostics, treatment planning, and medical rese...
详细信息
Learning analytics dashboards are the main vehicle for providing educators with a visual representation of data and insights related to teaching and learning. Recent research has found that the datavisualizations pro...
详细信息
ISBN:
(纸本)9783031723117;9783031723124
Learning analytics dashboards are the main vehicle for providing educators with a visual representation of data and insights related to teaching and learning. Recent research has found that the datavisualizations provided by dashboards are often very basic and do not take advantage of the latest research advances to analyze and depict the learning process. In this article, we present a success story of how we adapted a visualization used for research purposes for its integration in a dashboard for its use by teachers in daily practice. Specifically, we described the process of transforming and integrating a static sequence analysisvisualization into an interactive web visualization in a learning analytics dashboard for monitoring students' temporal trajectories in educational escape rooms in real time. We interviewed teachers to find out how they made use of the dashboard and present a qualitative content analysis of their responses.
Solar photovoltaic (PV) modules are a popular source of clean energy, and effective monitoring and optimization of their performance requires the ability to explore and analyze the measurement data from their sensors....
详细信息
Natural Language Processing (NLP) stands at the forefront of the rapidly evolving landscape of Machine Learning, witnessing the emergence and evolution of diverse methodologies over the past decade. This study delves ...
详细信息
ISBN:
(纸本)9783031683220;9783031683237
Natural Language Processing (NLP) stands at the forefront of the rapidly evolving landscape of Machine Learning, witnessing the emergence and evolution of diverse methodologies over the past decade. This study delves into the dynamic trends within the NLP domain, specifically spanning the years 2010 to 2022, through an empirical analysis of papers presented at conferences hosted by the Association for Computational Linguistics (ACL). We utilize ChatGPT in order to extract meaningful information from the data before performing an in depth analysis. Our investigation encompasses an exploration of several key aspects, namely computational trends, research trends and geographic trends. We further investigate the entry cost into NLP, the longevity of hardware and the environmental impact of NLP. The code to run our system is publicly available at https://***/ieeta-pt/nlp-trends.
暂无评论