Blar i Institutt for informasjonsteknologi og kommunikasjon på tittel
Viser treff 73-92 av 134
-
The local food supply, willingness to pay and the sustainability of an island destination
(Peer reviewed; Journal article, 2022)Purpose - The purpose of this study is to examine the trend towards purchasing locally grown food and evaluate if tourists to Hawai´i are willing to pay more for locally source foods which are more ecologically sustainable. ... -
The local food supply, willingness to pay and the sustainability of an island destination.
(Journal article, 2022)Abstract Purpose – The purpose of this study is to examine the trend toward purchasing locally grown food and evaluate if tourists visiting Hawai’i are willing to pay more for locally produced foods that are more ecologically ... -
Locke on Prerogative: Democracy, Libertarianism, and Proto-Utilitarianism
(Peer reviewed; Journal article, 2023)John Locke’s role in the advent of modernity has been debated widely. His work has been (ab)used by those arguing from libertarian, democratic, communitarian, socialist, feminist, or postcolonial points of view, either ... -
Loving robots changing love: Towards a practical deficiency-love
(Journal article, 2021)Robots are today made not only to assist us in menial tasks and routine labour but also provide companionship and love. This has generated much academic and public interest, and people have asked whether robots can love, ... -
LSTM-DGWO-Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
(Peer reviewed; Journal article, 2023)Sentiment analysis furnishes consumer concerns regarding products, enabling product enhancement development. Existing sentiment analysis using machine learning techniques is computationally intensive and less reliable. ... -
Machine learning approach for identifying suspicious uniform resource locators (URLs) on Reddit social network
(Peer reviewed; Journal article, 2021)The applications and advantages of the Internet for real-time information sharing can never be over-emphasized. These great benefits are too numerous to mention but they are being seriously hampered and made vulnerable due ... -
Machine learning for optimizing daily COVID-19 vaccine dissemination to combat the pandemic
(Peer reviewed; Journal article, 2022)Introduction Vaccines are the most important instrument for bringing the pandemic to a close and saving lives and helping to reduce the risks of infection. It is important that everyone has equal access to immunizations ... -
Machine learning with word embedding for detecting web-services anti-patterns
(Peer reviewed; Journal article, 2023)Software design Anti-pattern is the common feedback to a recurring problem that is ineffective and has a high risk of failure. Early prediction of these Anti-patterns helps reduce the design process’s efforts, resources, ... -
A machine learning-based intrusion detection for detecting internet of things network attacks
(Peer reviewed; Journal article, 2022)The Internet of Things (IoT) refers to the collection of all those devices that could connect to the Internet to collect and share data. The introduction of varied devices continues to grow tremendously, posing new privacy ... -
Making Manipulatives for Mathematics Education
(Chapter; Peer reviewed, 2022)This paper describes the efforts of an interdisciplinary team of researchers as they collaborated to create a digital fabrication curriculum module for mathematics teacher education. The initial four-day workshop design ... -
Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold
(Journal article, 2021)The continuous rise in skin cancer cases, especially in malignant melanoma, has resulted in a high mortality rate of the affected patients due to late detection. Some challenges affecting the success of skin cancer detection ... -
Mechanisms of Techno-Moral Change: A Taxonomy and Overview
(Peer reviewed; Journal article, 2023)The idea that technologies can change moral beliefs and practices is an old one. But how, exactly, does this happen? This paper builds on an emerging field of inquiry by developing a synoptic taxonomy of the mechanisms of ... -
Medical Internet-of-Things Based Breast Cancer Diagnosis Using Hyperparameter-Optimized Neural Networks
(Peer reviewed; Journal article, 2022)In today’s healthcare setting, the accurate and timely diagnosis of breast cancer is critical for recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has experienced a transformation ... -
Modeling the Next Decade of Energy Sustainability: A Case of a Developing Country
(Peer reviewed; Journal article, 2022)The development of any country is closely related to its ability to provide access to electricity for productive labor. Many countries in sub-Saharan Africa have low electrification rates for commercial, industrial and ... -
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
(Peer reviewed; Journal article, 2021)Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small and ... -
New Perspectives from International Visitors to Thailand
(Journal article, 2021) -
NoOps – A Multivocal literature review
(Peer reviewed; Journal article, 2022)Traditionally, an organization had to have in-house servers and hardware to build a web application. This evolved into Cloud computing where the possibility for cost reduction and scalable data storage became a reality. ... -
Normativity assumptions in the design and application of social robots forautistic children
(Peer reviewed; Chapter, 2022)Social robots interact with human beings and are used for a variety of therapeutic purposes, for example in interaction with children with neurodevelopmental disorders. A key ethical issue related to the ... -
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
(Peer reviewed; Journal article, 2022)Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and precisely. According to the World Health ... -
A Novel Deep Transfer Learning Approach Based on Depth-Wise Separable CNN for Human Posture Detection
(Peer reviewed; Journal article, 2022)Human posture classification (HPC) is the process of identifying a human pose from a still image or moving image that was recorded by a digicam. This makes it easier to keep a record of people’s postures, which is helpful ...