Computer Science & Engineering: Recent submissions
Now showing items 461-480 of 2402
-
Efficient Test Collection Construction via Active Learning
( Association for Computing Machinery , 2020 , Conference Paper)To create a new IR test collection at low cost, it is valuable to carefully select which documents merit human relevance judgments. Shared task campaigns such as NIST TREC pool document rankings from many participating ... -
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments
( AAAI Press , 2016 , Conference Paper)When collecting subjective human ratings of items, it can be difficult to measure and enforce data quality due to task subjectivity and lack of insight into how judges’ arrive at each rating decision. To address this, we ... -
Overview of the CLEF–2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, ... -
Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference Paper)We describe the sixth edition of the CheckThat! lab, part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). The five previous editions of CheckThat! focused on the main tasks of the information verification ... -
How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?
( Springer , 2023 , Article)Big data and predictive analytics (BDPA) techniques have been deployed in several areas of research to enhance individuals’ quality of living and business performance. The emergence of big data has made recycling and waste ... -
The adoption of metaverse in the retail industry and its impact on sustainable competitive advantage: moderating impact of sustainability commitment
( Springer , 2023 , Article)The concept of the metaverse involves creating a fully immersive virtual world that allows users to interact with each other and digital objects in a way that is almost indistinguishable from reality. One of the key areas ... -
Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees
( Elsevier Ltd , 2023 , Article)The analysis of Electroencephalography (EEG) signals has been an effective way of eye state identification. Its significance is highlighted by studies that examined the classification of eye states using machine learning ... -
Parkinson’s Disease Diagnosis Using Laplacian Score, Gaussian Process Regression and Self-Organizing Maps
( MDPI , 2023 , Article)Parkinson’s disease (PD) is a complex degenerative brain disease that affects nerve cells in the brain responsible for body movement. Machine learning is widely used to track the progression of PD in its early stages by ... -
A Combined Method for Diabetes Mellitus Diagnosis Using Deep Learning, Singular Value Decomposition, and Self-Organizing Map Approaches
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Diabetes in humans is a rapidly expanding chronic disease and a major crisis in modern societies. The classification of diabetics is a challenging and important procedure that allows the interpretation of diabetic data and ... -
The nexus between quality of customer relationship management systems and customers' satisfaction: Evidence from online customers’ reviews
( Elsevier Ltd , 2023 , Article)Customer Relationship Management (CRM) is a method of management that aims to establish, develop, and improve relationships with targeted customers in order to maximize corporate profitability and customer value. There ... -
A combined method of optimized learning vector quantization and neuro-fuzzy techniques for predicting unified Parkinson's disease rating scale using vocal features
( Elsevier B.V. , 2024 , Article)Parkinson's Disease (PD) is a common disorder of the central nervous system. The Unified Parkinson's Disease Rating Scale or UPDRS is commonly used to track PD symptom progression because it displays the presence and ... -
Faculty salary equity in the College of Arts and Sciences at a regional mid-western university: an exploratory study
( International Academy of Business and Public Administration Disciplines , 2010 , Article)The purpose of this study was to determine if there were salary inequities between male and female faculty members in the School of Arts and Sciences at a regional public university. An analysis-of-covariance (ANCOVA) model ... -
Pathway to Prosocial AI-XR Metaverses: A Synergy of Technical and Regulatory Approaches
( IEEE , 2023 , Conference Paper)AI-XR metaverses leverage artificial intelligence (AI) and extended reality (XR) technology to create immersive environments that replicate and enhance the real world. The transformative impact of the metaverse as an ... -
How to program autonomous vehicle (AV) crash algorithms: an Islamic ethical perspective
( Emerald Publishing Limited , 2023 , Article)Purpose: Fully autonomous self-driving cars not only hold the potential for significant economic and environmental advantages but also introduce complex ethical dilemmas. One of the highly debated issues, known as the ... -
How circular economy can reduce scope 3 carbon footprints: Lessons learned from FIFA world cup Qatar 2022
( Elsevier , 2023 , Article)Mega sporting events (MSEs) such as the FIFA World Cup and the Olympics always attract people around the world to visit the hosting country, boosting its tourism and business, and leaving a positive legacy. However, such ... -
Multi-descriptor random sampling for patch-based face recognition
( MDPI AG , 2021 , Article)While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life. This paper focuses on the inherently present issue of partial occlusion ... -
Service robots in hospitals to reduce spreading of COVID-19
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)COVID-19 is an infectious disease that is introduced by a new coronavirus. The COVID-19 virus symptoms can include coughing, fatigue, fever for those with mild cases. For more severe cases, it can lead to shortness of ... -
Guest Editorial Special Issue on Intent-Based Networking for 5G-Envisioned Internet of Connected Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)With the recent advances in wireless communications, the automotive industry is leading to evolution. To succeed in this emerging era of technology, the Internet of Connected Vehicles (IoCV) has emerged as one of the ... -
Blockchain-Enhanced Data Sharing with Traceable and Direct Revocation in IIoT
( IEEE Computer Society , 2021 , Article)The industrial Internet of Things (IIoT) supports recent developments in data management and information services, as well as services for smart factories. Nowadays, many mature IIoT cloud platforms are available to serve ... -
Development of Digitalization Road Map for Healthcare Facility Management
( IEEE , 2022 , Article)Effective Healthcare Facility Management (HFM) remain a crucial concern for high quality built healthcare sectors, both in the public and private areas. The anticipated resource efficiencies, complex systems, and maintenance ...
