Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (4617)
- Electrical and Computer Engineering (1239)
- Physical Sciences and Mathematics (1156)
- Civil and Environmental Engineering (1064)
- Education (1059)
-
- Architecture (838)
- Computer Engineering (732)
- Business (702)
- Civil Engineering (701)
- Construction Engineering and Management (678)
- Construction Engineering (614)
- Social and Behavioral Sciences (513)
- Computer Sciences (467)
- Engineering Education (416)
- Medicine and Health Sciences (404)
- Life Sciences (402)
- Arts and Humanities (377)
- Physics (313)
- Electrical and Electronics (277)
- Other Engineering (255)
- Mechanical Engineering (229)
- Business Administration, Management, and Operations (215)
- Curriculum and Instruction (215)
- Higher Education (200)
- Food Science (191)
- Biomedical Engineering and Bioengineering (152)
- Optics (150)
- Chemistry (137)
- Materials Science and Engineering (135)
- Systems and Communications (127)
- Keyword
-
- Ireland (580)
- Engineering (547)
- Building (460)
- Construction (451)
- Architecture (415)
-
- Plumbing (340)
- Education (298)
- Higher education (241)
- DIT (215)
- Dublin Institute of Technology (185)
- Courses (137)
- Vocational (136)
- Sustainability (133)
- Heating (101)
- Machine learning (89)
- BIM (79)
- Student (75)
- Holography (72)
- Services (70)
- Assessment (63)
- Design (63)
- Logistics (63)
- Students (62)
- Research (61)
- Technology (58)
- Simulation (57)
- Engineering education (56)
- Innovation (56)
- Energy (54)
- Newspaper (51)
- Publication Year
- Publication
-
- Articles (2678)
- Conference papers (1535)
- Conference Papers (582)
- Building Services Engineering (478)
- Doctoral (350)
-
- Research Outputs: 2025-Present (317)
- Dissertations (287)
- Other resources (160)
- Reports (157)
- Practice Papers (153)
- Research Papers (148)
- Masters (112)
- Prospectus: Bolton Street (111)
- Books/Book chapters (108)
- Level 3 (105)
- The ITB Journal (104)
- Books/Book Chapters (99)
- Irish Journal of Academic Practice (96)
- Other Resources (93)
- DIT Student Union (91)
- International Journal of Religious Tourism and Pilgrimage (89)
- Prospectus: Kevin Street (65)
- DIT Publications (56)
- SDAR* Journal of Sustainable Design & Applied Research (56)
- Dublin Gastronomy Symposium (48)
- Journal Articles (38)
- Capstone Reports (35)
- Workshops (35)
- Media (32)
- Practitioner Journals (32)
- Publication Type
- File Type
Articles 661 - 690 of 9165
Full-Text Articles in Entire DC Network
Chickpea Seed Endophyte Enterobacter Sp. Mediated Yield And Nutritional Enrichment Of Chickpea For Improving Human And Livestock Health, Arpan Mukherjee, Anand Kumar Gaurav, Gowardhan Kumar Chouhan, Saurabh Singh, Ankita Sarkar, Saman Abeysinghe, Jay Prakash Verma
Chickpea Seed Endophyte Enterobacter Sp. Mediated Yield And Nutritional Enrichment Of Chickpea For Improving Human And Livestock Health, Arpan Mukherjee, Anand Kumar Gaurav, Gowardhan Kumar Chouhan, Saurabh Singh, Ankita Sarkar, Saman Abeysinghe, Jay Prakash Verma
Articles
Chickpeas (Cicer arietinum L.) are used as a good source of proteins and energy in the diets of various organisms including humans and animals. Chickpea straws can serve as an alternative option for forage for different ruminants. This research mainly focussed on screening the effects of adding beneficial chickpea seed endophytes on increasing the nutritional properties of the different edible parts of chickpea plants. Two efficient chickpea seed endophytes (Enterobacter sp. strain BHUJPCS-2 and BHUJPCS-8) were selected and applied to the chickpea seeds before sowing in the experiment conducted on clay pots. Chickpea seeds treated with both endophytes showed improved …
How Can A Cloud Computing It Framework Be Created And Applied Effectively In The Online Printing Industry?, Stefan Meissner
How Can A Cloud Computing It Framework Be Created And Applied Effectively In The Online Printing Industry?, Stefan Meissner
Dissertations
This research aims to design a cloud computing IT framework for the online printing industry based on a detailed literature review, the development of proof of concepts (PoC), and the conduction of a focus group. The framework can be adopted by the online printing industry or by vendors of print-specific applications to optimize their products for the online printing industry. The author has been working in the online printing process optimization and automation since 2007. During this time, he got deep insight into many industry-specific applications, their architectural design, and their challenges being used in the context of online printing. …
Patient Satisfaction Informs Improvement Strategies In Emergency Department, Esmat Swallmeh
Patient Satisfaction Informs Improvement Strategies In Emergency Department, Esmat Swallmeh
Doctoral
Recently, patient satisfaction has become one of the key performance indicators used to measure the performance of healthcare institutions and has emerged as a primary strategic indicator of quality and efficacy within the healthcare system. Inadequate care of patient experience in acute hospitals may negatively impact patients’ adherence, readmission rates and mortality. This dissertation critically evaluates over 2,000 peer-reviewed papers relevant to patient satisfaction within the emergency department (ED) environment. It describes the theories, tools, determinants, and methods to increase patient satisfaction. Despite growing attention to patient satisfaction, the academic literature still lacks a comprehensive overview. In addition, the literature …
Building Integration Of A Solar Air Heating System, Fernando Guerreiro
Building Integration Of A Solar Air Heating System, Fernando Guerreiro
Doctoral
In order to achieve the global carbon emission target, the high fraction of locally available renewable energy sources will become necessary to meet energy demand. Solar energy is one of the most important renewable sources locally available for use in space heating, cooling, hot water supply and power production. Building integrated solar thermal systems (BISTS) can be a potential solution towards the enhanced energy efficiency and reduced operational cost in built environment. The current research aimed at developing an active solar air heating collector for building integration. This system consisted of several asymmetric compound parabolic concentrating collectors with inverted transpired …
Microbial And Enzymatic Biodegradation Of Plastic Waste For A Circular Economy, Muhammad Aitzaz Akram, Rangasamy Savitha, Gemma K. Kinsella, Kieran Nolan, Barry J. Ryan, Gary T. Henehan
Microbial And Enzymatic Biodegradation Of Plastic Waste For A Circular Economy, Muhammad Aitzaz Akram, Rangasamy Savitha, Gemma K. Kinsella, Kieran Nolan, Barry J. Ryan, Gary T. Henehan
Articles
Plastics play a crucial role in modern life, but their accumulation poses a serious threat to both the environment and human health. Due to their effects on the terrestrial and aquatic environment, it is essential to develop sustainable approaches to dispose of waste plastics. Traditional methods of plastic disposal, such as burning and landfilling, are problematic since they produce hazardous byproducts. Biodegradation is a potentially effective, eco-friendly approach which uses microbial consortia or isolated enzymes to break down plastic waste. Enzymes interact with plastic surfaces and hydrolyse the large polymer chains into smaller units. These byproducts can then be utilised …
The Role Of Interpersonal Conflict As A Cause Of Work-Related Stress In Construction Managers In Ireland, Patrick J. Bruce, Victor Hrymak, Carol M. Bruce Dr, Joseph Byrne
The Role Of Interpersonal Conflict As A Cause Of Work-Related Stress In Construction Managers In Ireland, Patrick J. Bruce, Victor Hrymak, Carol M. Bruce Dr, Joseph Byrne
Articles
Construction is a project-driven industry that places a high premium on product delivery on time, within budget and to required standards. Modern construction projects have become more complex in nature, the complex relational and lengthy process of designing and building makes construction a process in which conflict is virtually ensured (Jaffar et al., 2011; Wang et al., 2023). These characteristics of the industry contribute to workplace stress. Therefore, it is not surprising that research has confirmed a strong presence of workplace stress within the industry, (Lingard and Francis, 2004; Vaux and Dority, 2020). Many construction managers experience excessive levels of …
Generating A Template For An Educational Software Development Methodology For Novice Computing Undergraduates: An Integrative Review, Catherine Higgins, Ciaran O'Leary, Claire Mcavinia, Barry J. Ryan
Generating A Template For An Educational Software Development Methodology For Novice Computing Undergraduates: An Integrative Review, Catherine Higgins, Ciaran O'Leary, Claire Mcavinia, Barry J. Ryan
Articles
Aim/Purpose The teaching of appropriate problem-solving techniques to novice learners in undergraduate software development education is often poorly defined when compared to the delivery of programming techniques. Given the global need for qualified designers of information technology, the purpose of this research is to produce a foundational template for an educational software development methodology grounded in the established literature. This template can be used by third-level educators and researchers to develop robust educational method-ologies to cultivate structured problem solving and software development habits in their students while systematically teaching the intricacies of software crea-tion. Background While software development methodologies are …
Biosynthesis, Classification, Properties, And Applications Of Weissella Bacteriocins, Jahnavi Kumari Singh, Palanisamy Bruntha Devi, G. Bhanuprakash Reddy, Amit K. Jaiswal, Digambar Kavitake, Prathapkumar Halady Shetty
Biosynthesis, Classification, Properties, And Applications Of Weissella Bacteriocins, Jahnavi Kumari Singh, Palanisamy Bruntha Devi, G. Bhanuprakash Reddy, Amit K. Jaiswal, Digambar Kavitake, Prathapkumar Halady Shetty
Articles
This review aims to comprehensively chronicle the biosynthesis, classification, properties, and applications of bacteriocins produced by Weissella genus strains, particularly emphasizing their potential benefits in food preservation, human health, and animal productivity. Lactic Acid Bacteria (LAB) are a class of microorganisms well-known for their beneficial role in food fermentation, probiotics, and human health. A notable property of LAB is that they can synthesize antimicrobial peptides known as bacteriocins that exhibit antimicrobial action against both closely related and other bacteria as well. Bacteriocins produced by Weissella spp. are known to exhibit antimicrobial activity against several pathogenic bacteria including food spoilage species, …
Influence Of Deep Eutectic Solvents On Redox Biocatalysis Involving Alcohol Dehydrogenases, Ebin K. Baby, Savitha Rangasamy, Gemma Kinsella, Kieran Nolan, Barry J. Ryan, Gary Henehan
Influence Of Deep Eutectic Solvents On Redox Biocatalysis Involving Alcohol Dehydrogenases, Ebin K. Baby, Savitha Rangasamy, Gemma Kinsella, Kieran Nolan, Barry J. Ryan, Gary Henehan
Articles
Redox biocatalysis plays an increasingly important role in modern organic synthesis. The recent integration of novel media such as deep eutectic solvents (DESs) has significantly impacted this field of chemical biology. Alcohol dehydrogenases (ADHs) are important biocatalysts where their unique specificity is used for enantioselective synthesis. This review explores aspects of redox biocatalysis in the presence of DES both with whole cells and with isolated ADHs. In both cases, the presence of DES has a significant influence on the outcome of reactions albeit via different mechanisms. For whole cells, DES was shown to be a useful tool to direct product …
Exploring Safety Of Machineries And Training: An Overview Of Current Literature Applied To Manufacturing Environments, Maria Elena Del Giudice, Mahnaz Sharafkhani, Mario Di Nardo, Teresa Murino, Maria Chiara Leva
Exploring Safety Of Machineries And Training: An Overview Of Current Literature Applied To Manufacturing Environments, Maria Elena Del Giudice, Mahnaz Sharafkhani, Mario Di Nardo, Teresa Murino, Maria Chiara Leva
Articles
A machine is described as an assembly that has a drive system installed or is planned to have a drive system installed and that is constituted of linked elements or components, at least one of which moves, that are connected for a particular application (ISO12100). Different types of risks are present in machines, and exposure to them can cause harm or even death. When risk has been adequately reduced, machinery safety considers a machine's ability to complete its intended duty throughout its life cycle. A literature review was carried out using “safety of machinery” as a keyword, which produced an …
Improving The Barrier And Mechanical Properties Of Paper Used For Packing Applications With Renewable Hydrophobic Coatings Derived From Camelina Oil, Muhammad Arshad, Shiv Shankar, Amar K. Mohanty, Jim Todd, Rachel Riddle, Rene Van Acker, Graham W. Taylor, Manjusri Misra
Improving The Barrier And Mechanical Properties Of Paper Used For Packing Applications With Renewable Hydrophobic Coatings Derived From Camelina Oil, Muhammad Arshad, Shiv Shankar, Amar K. Mohanty, Jim Todd, Rachel Riddle, Rene Van Acker, Graham W. Taylor, Manjusri Misra
Articles
This study looked at using modified camelina oil to develop sustainable coatings that could replace those derived from petroleum-based materials for use in packaging and other industrial sectors. Solvent-free synthesis of maleic anhydride grafted camelina oil (MCO) was carried out at two different temperatures (200 and 230 °C) to obtain sustainable hydrophobic coating materials for paper substrates. Maleic anhydride grafting of camelina oil was confirmed with attenuated total reflectance-Fourier transform infrared and NMR spectroscopic techniques, and up to 16% grafting of maleic anhydride was achieved, as determined by the titration method. MCO, obtained at different reaction temperatures, was coated onto …
Agro-Food Waste Valorization For Sustainable Bio-Based Packaging, Luana De S.C. Carnaval, Amit K. Jaiswal, Swarna Jaiswal
Agro-Food Waste Valorization For Sustainable Bio-Based Packaging, Luana De S.C. Carnaval, Amit K. Jaiswal, Swarna Jaiswal
Articles
In recent years, the increase in the generation of agro-food processing waste, coupled with uncontrolled disposal and inefficient recovery methods, has raised concerns among society, industries, and the research community. This issue is compounded by the accumulation of conventional synthetic packaging. Owing to their significant environmental and economic impacts, the development of sustainable, biocompatible, and biodegradable materials has become an urgent target. In this context, research efforts have been directed toward developing new packaging materials based on renewable sources, such as agro-food waste, contributing to the circular economy concept. However, despite significant advances, novel agro-food-waste-based packaging solutions still largely remain …
Responses To A Century Of Housing Crisis: Problem, Politics And Policy, Paul Umfreville
Responses To A Century Of Housing Crisis: Problem, Politics And Policy, Paul Umfreville
Doctoral
The Irish housing system is reportedly in crisis. Homelessness, a lack of affordable housing to rent or buy, and limited security of tenure mean that the housing opportunity available to previous generations is not available to many of the current one. Problems with housing in Ireland are not, however, purely recent phenomena. Reports of inquiry and Census data have catalogued recurring housing crises and failings in housing policy over the last century, but whilst systemic shocks provided the impetus for historic housing policy transformation, inertia in the political system now appears to dampen momentum for effective change. Significant events seemingly …
Modelling The Operational Energy Demands And Greenhouse Gas Emissions From Non-Domestic Building Stocks Applied To A German Case Study, Julian H. Bischof
Modelling The Operational Energy Demands And Greenhouse Gas Emissions From Non-Domestic Building Stocks Applied To A German Case Study, Julian H. Bischof
Doctoral
This work is centred around the global shift towards a post-fossil-fuel era, driven by climate change. The research is motivated by the urgent need to facilitate this transition, specifically focusing on the non-domestic building sector, which contributes in the order of 10 % [233] of global greenhouse gas emissions. The study aims to bridge the research gap in openly available, commonly accepted, simple-to-understand, validated and/or verified models and representative data sets of non-domestic building stocks that can be used to guide policymakers towards achieving climate neutrality. The main research objective is to create a life-cycle methodology and tool for modelling …
Data Justice In Education: Toward A Research Agenda, Luci Pangrazio, Glenn Auld, Julianne Lynch, Carly Sawatzki, Gavin Duffy, Shelley Hannigan, Jo O'Mara
Data Justice In Education: Toward A Research Agenda, Luci Pangrazio, Glenn Auld, Julianne Lynch, Carly Sawatzki, Gavin Duffy, Shelley Hannigan, Jo O'Mara
Articles
Educational institutions increasingly rely on digital platforms to deliver content and learning, monitor attendance, communicate with stakeholders, and evaluate institutional performance. Despite the efficiency and accessibility gains they offer, digital platforms are powered by personal data which, through a process of datafication, can be used to track, monitor, and profile staff and students. The insights drawn from this data can be used to shape educational and professional futures. This article examines how datafication has become a social justice issue in education, discussing the implications for well-being, decision-making, governance, and power in education. Using Hintz and colleagues framework for data justice, …
The Impact Of Emerging Technologies Of Industry 4.0 On Sustainability Dimensions, Mohammed Alnahhal, Waqas Saleem, Bashir Salah
The Impact Of Emerging Technologies Of Industry 4.0 On Sustainability Dimensions, Mohammed Alnahhal, Waqas Saleem, Bashir Salah
Articles
In the Industry 4.0 (I4.0) era, emerging technologies positively affect sustainability both internally within the industry and externally at the global level. Sustainable productive systems are expected to be with the best indicators levels through using emerging technologies in the I4.0. This study aims to investigate the effect of emerging technologies in the I4.0 on the sustainability pillars through an analysis of a case study conducted at King Saud University about a Smart Yogurt Filling System. In this system, the most critical emerging technologies, such as Internet of Things (IoT), 3D printing, Near field communication technology (NFC), and Node-RED, were …
Coffee: Lighting Its Complex Ground Truth And Percolating Its Molecular Brew, Róża Paterek, Sive Geoghegan, Bernadette S. Creaven, Aoife Power
Coffee: Lighting Its Complex Ground Truth And Percolating Its Molecular Brew, Róża Paterek, Sive Geoghegan, Bernadette S. Creaven, Aoife Power
Articles
Coffee is one of the most widely traded commodities worldwide and its popularity is only increasing. The International Coffee Organisation (ICO) reported a 6% increase in global production in 2020 to 10.5 million tonnes. Coffee production is quite involved (from sowing to harvesting, processing, packaging, and storage); consequently, the industry faces major challenges in terms of the assessment of its quality, flavour, and the components which contribute to coffee's characterisation, as well as the sustainability of coffee production and global trade. This has prompted multiple studies on the nature of the aroma and taste of the many varieties of coffee …
A Global Model-Agnostic Rule-Based Xai Method Based On Parameterized Event Primitives For Time Series Classifiers, Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio
A Global Model-Agnostic Rule-Based Xai Method Based On Parameterized Event Primitives For Time Series Classifiers, Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio
Articles
Time series classification is a challenging research area where machine learning and deep learning techniques have shown remarkable performance. However, often, these are seen as black boxes due to their minimal interpretability. On the one hand, there is a plethora of eXplainable AI (XAI) methods designed to elucidate the functioning of models trained on image and tabular data. On the other hand, adapting these methods to explain deep learning-based time series classifiers may not be straightforward due to the temporal nature of time series data. This research proposes a novel global post-hoc explainable method for unearthing the key time steps …
A Novel Integration Of Data-Driven Rule Generation And Computational Argumentation For Enhanced Explainable Ai, Lucas Rizzo, Damiano Verda, Serena Berretta, Luca Longo
A Novel Integration Of Data-Driven Rule Generation And Computational Argumentation For Enhanced Explainable Ai, Lucas Rizzo, Damiano Verda, Serena Berretta, Luca Longo
Articles
Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent and interpretable explanations while maintaining scalability and effectiveness in complex scenarios. Rule-based methods in XAI generate rules that can potentially explain AI inferences, yet they can also become convoluted in large scenarios, hindering their readability and scalability. Moreover, they often lack contrastive explanations, leaving users uncertain why specific predictions are preferred. To address this scientific problem, we explore the integration of computational argumentation—a sub-field …
Explainable Artificial Intelligence (Xai) 2.0: A Manifesto Of Open Challenges And Interdisciplinary Research Directions, Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf, Artificial Intelligence And Cognitive Load Research Lab
Explainable Artificial Intelligence (Xai) 2.0: A Manifesto Of Open Challenges And Interdisciplinary Research Directions, Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf, Artificial Intelligence And Cognitive Load Research Lab
Articles
Understanding black box models has become paramount as systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper highlights the advancements in XAI and its application in real-world scenarios and addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, …
Microfluidic Flowmeter Based On A Liquid Crystal-Filled Nested Capillary, Zhe Wang, Arun Kumar Mallik, Fangfang Wei, Zhuochen Wang, Anuradha Rout, Rayhan Habib Jibon, Qiang Wu, Yuliya Semenova, University College Cork
Microfluidic Flowmeter Based On A Liquid Crystal-Filled Nested Capillary, Zhe Wang, Arun Kumar Mallik, Fangfang Wei, Zhuochen Wang, Anuradha Rout, Rayhan Habib Jibon, Qiang Wu, Yuliya Semenova, University College Cork
Articles
Microfluidic flowmeters are a powerful and highly accurate tool, enabling precise monitoring and measurements of flows of gases and fluids in a range of applications. Here we proposed and experimentally demonstrated a whispering gallery modes flowmeter composed of a liquid crystal-filled nested capillary. Whispering gallery modes are excited by a tapered fiber coupled perpendicularly to the nested capillary. The air flowing through the capillary cools it down, which leads to a temperature-induced change of the refractive index of the nematic liquid crystals. This change in turn leads to a spectral shift of the whispering gallery modes resonances, which can be …
Innovations In Ion-Selective Optodes: A Comprehensive Exploration Of Modern Designs And Nanomaterial Integration, Ahmed Barhoum, Yaser Alhashemi, Yomna M. Ahmed, Mahmoud S. Rizk, Mikhael Bechelany, Fatehy M. Abdel-Haleem
Innovations In Ion-Selective Optodes: A Comprehensive Exploration Of Modern Designs And Nanomaterial Integration, Ahmed Barhoum, Yaser Alhashemi, Yomna M. Ahmed, Mahmoud S. Rizk, Mikhael Bechelany, Fatehy M. Abdel-Haleem
Research Outputs: 2025-Present
In recent years, ion-selective optodes (ISOs) have remarkably progressed, driven by innovative modern designs and nanomaterial integration. This review explored the development of modern ISO by describing state-of-the-art strategies to improve their sensitivity, selectivity, and real-time monitoring capacity. The review reported the traditional membrane based-optodes, and investigated the latest research, current design principles, and the use of essential components, such as ionophores, indicator dyes, polymer membranes, and nanomaterials, in ISO fabrication. Special attention was given to nanomaterials (e.g., quantum dots, polymer dots, nanospheres, nanorods and nanocapsules) and particularly on how rare earth elements can further enhance their potential. It also …
A Comparative Study On Feature Extraction Techniques For The Discrimination Of Frontotemporal Dementia And Alzheimer's Disease With Electroencephalography In Resting-State Adults, Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
A Comparative Study On Feature Extraction Techniques For The Discrimination Of Frontotemporal Dementia And Alzheimer's Disease With Electroencephalography In Resting-State Adults, Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
Articles
Early-stage Alzheimer's disease (AD) and frontotemporal dementia (FTD) share similar symptoms, complicating their diagnosis and the development of specific treatment strategies. Our study evaluated multiple feature extraction techniques for identifying AD and FTD biomarkers from electroencephalographic (EEG) signals. We developed an optimised machine learning architecture that integrates sliding windowing, feature extraction, and supervised learning to distinguish between AD and FTD patients, as well as from healthy controls (HCs). Our model, with a 90% overlap for sliding windowing, SVD entropy for feature extraction, and K-Nearest Neighbors (KNN) for supervised learning, achieved a mean F1-score and accuracy of 93% and 91%, 92.5% …
Synthetic Dataset Generation Using Photo-Realistic Simulation With Varied Time And Weather Axes, Thomas Lee, Susan Mckeever, Jane Courtney
Synthetic Dataset Generation Using Photo-Realistic Simulation With Varied Time And Weather Axes, Thomas Lee, Susan Mckeever, Jane Courtney
Articles
To facilitate the integration of autonomous unmanned air vehicles (UAVs) in day-to-day life, it is imperative that safe navigation can be demonstrated in all relevant scenarios. For UAVs using a navigational protocol driven by artificial neural networks, training and testing data from multiple environmental contexts are needed to ensure that bias is minimised. The reduction in predictive capacity when faced with unfamiliar data is a common weak point in trained networks, which worsens the further the input data deviates from the training data. However, training for multiple environmental variables dramatically increases the man-hours required for data collection and validation. In …
Build Digital Annual Survey 2023 Results, Clare Eriksson, Robert Moore, Bilal Succar
Build Digital Annual Survey 2023 Results, Clare Eriksson, Robert Moore, Bilal Succar
Reports
The Build Digital Annual Survey 2023 examines the level of digital transformation across Ireland’s construction and built environment sector. Based on 252 responses from industry, academia, and government, the report shows that most participants were working in organisations already engaged in digital transformation, with key expected benefits including improved accuracy, operational efficiency, cost reduction, faster clash resolution, and improved scheduling. The findings indicate that many respondents had experience using digital tools and methods across common model uses, particularly capturing and representing, planning and designing, and simulating and quantifying. The report also highlights continued challenges, including limited formal training, uneven assessment …
Action Recognition For Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities, Shakra Mehak, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva
Action Recognition For Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities, Shakra Mehak, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva
Articles
Human–robot teaming (HrT) is being adopted in an increasing range of industries and work environments. Effective HrT relies on the success of complex and dynamic human–robot interaction. Although it may be optimal for robots to possess all the social and emotional skills to function as productive team members, certain cognitive capabilities can enable them to develop attitude-based competencies for optimizing teams. Despite the extensive research into the human–human team structure, the domain of HrT research remains relatively limited. In this sense, incorporating established human–human teaming (HhT) elements may prove practical. One key element is mutual performance monitoring (MPM), which involves …
Analyzing Operator States And The Impact Of Ai-Enhanced Decision Support In Control Rooms: A Human-In-The-Loop Specialized Reinforcement Learning Framework For Intervention Strategies, Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz, Houda Briwa, Andres Alonso Perez, Gabriele Baldissone, Micaela Demichela, Georgios C. Chasparis, John D. Kelleher, Maria Chiara Leva
Analyzing Operator States And The Impact Of Ai-Enhanced Decision Support In Control Rooms: A Human-In-The-Loop Specialized Reinforcement Learning Framework For Intervention Strategies, Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz, Houda Briwa, Andres Alonso Perez, Gabriele Baldissone, Micaela Demichela, Georgios C. Chasparis, John D. Kelleher, Maria Chiara Leva
Articles
In complex industrial and chemical process control rooms, effective decision-making is crucial for safety and efficiency. The experiments in this paper evaluate the impact and applications of an AI-based decision support system integrated into an improved human-machine interface, using dynamic influence diagrams, a hidden Markov model, and deep reinforcement learning. The enhanced support system aims to reduce operator workload, improve situational awareness, and provide different intervention strategies to the operator adapted to the current state of both the system and human performance. Such a system can be particularly useful in cases of information overload when many alarms and inputs are …
Assessing The Condition Of Pavements (Road Surfaces) Using Computer Vision & Machine Learning, Syed Ibrahim Hassam
Assessing The Condition Of Pavements (Road Surfaces) Using Computer Vision & Machine Learning, Syed Ibrahim Hassam
Doctoral
Regular inspections of pavements are conducted by civil infrastructure departments to evaluate the surface condition. Pavement surfaces are subject to deterioration caused by several factors such as traffic, weather, and sunlight. This deterioration becomes evident through various distresses, including potholes, rutting, cracking, bleeding, patching, and ravelling, which gradually affects the surface layer over time. It is essential to assess the condition of pavements as it not only ensures their usability but also maximises public safety. Effective pavement maintenance requires substantial resources and capital investment to carry out the most suitable maintenance treatments at the optimal time. Furthermore, the outcomes of …
Classification Of White Blood Cells (Leucocytes) From Blood Smear Imagery Using Machine And Deep Learning Models: A Global Scoping Review, Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds
Classification Of White Blood Cells (Leucocytes) From Blood Smear Imagery Using Machine And Deep Learning Models: A Global Scoping Review, Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds
Conference papers
Machine learning (ML) and deep learning (DL) models are being increasingly employed for medical imagery analyses, with both approaches used to enhance the accuracy of classification/prediction in the diagnoses of various cancers, tumors and bloodborne diseases. To date however, no review of these techniques and their application(s) within the domain of white blood cell (WBC) classification in blood smear images has been undertaken, representing a notable knowledge gap with respect to model selection and comparison. Accordingly, the current study sought to comprehensively identify, explore and contrast ML and DL methods for classifying WBCs. Following development and implementation of a formalized …
In Situ Tuning And Investigating The Growth Process Of Size Controllable Gold Nanoparticles And Statistical Size Prediction Analysis, Vinayak Sharma, Bilal Javed, Giovani Estrada, Hugh J. Byrne, Furong Tian
In Situ Tuning And Investigating The Growth Process Of Size Controllable Gold Nanoparticles And Statistical Size Prediction Analysis, Vinayak Sharma, Bilal Javed, Giovani Estrada, Hugh J. Byrne, Furong Tian
Articles
A critical understanding of the formation and growth process of gold nanoparticles (GNPs) is crucial, in order to synthesize monodisperse gold nanocrystals of controllable size and shape in a predictable way. GNPs of different shapes and sizes can be produced by altering different physicochemical reaction conditions, such as pH, temperature, and the ratio of reactants. The significant variations in the morphological features of GNPs can be monitored in situ in a time-dependent manner by using UV–visible spectroscopy. In this study, we have synthesized seedless GNPs by reduction of HAuCl4 by using various molar ratios of HEPES and Na2HPO4. The shape …