Academic Articles & Research Papers

Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea

As the penetration of electric vehicles (EVs) increases, an understanding of EV operation characteristics becomes crucial in various aspects, e.g., grid stability and battery degradation. This can be achieved through analyzing large amounts...

Quantum-Resistant Security Technologies for Resource-Constrained Edge Devices: Challenges and Lightweight Countermeasures

With the rapid advancement of quantum computing technology, IoT edge devices widely deployed in industrial settings are facing severe threats to their quantum-resistant security. This work focuses on the challenges of adapting Quantum Key D...

Quantum Shuttle: traffic navigation with Quantum computing

The Web Summit conference in Lisbon, Portugal, is one of the biggest technology conferences in Europe, attended by tens of thousands of people every year. The high influx of people into Lisbon causes significant stress on the city's transit...

The prospects of quantum computing in computational molecular biology

Abstract Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computation, but when we do, it will affect nearly all sci...

Quantum computing: A taxonomy, systematic review and future directions

Abstract Quantum computing (QC) is an emerging paradigm with the potential to offer significant computational advantage over conventional classical computing by exploiting quantum‐mechanical principles such as entanglement and superposition...

Cybersecurity

Cybersecurity is not just making lede in news but is also attracting more attention than ever before among businesses, industries, academicians, and the common users. As the adversaries flourish the frequency of cyberattacks have increased ...

Data Science Methodology for Cybersecurity Projects

Cybersecurity solutions are traditionally static and signature-based.The traditional solutions along with the use of analytic models, machine learning and big data could be improved by automatically trigger mitigation or provide relevant aw...

Geoscientists’ Perspectives on Cyberinfrastructure Needs: A Collection of User Scenarios

Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In th...

Analytically Computing the Moments of a Conic Combination of Independent Noncentral Chi-Square Random Variables and Its Application for the Extended Cox–Ingersoll–Ross Process with Time-Varying Dimension

This paper focuses mainly on the problem of computing the γth, γ>0, moment of a random variable Yn:=∑i=1nαiXi in which the αi’s are positive real numbers and the Xi’s are independent and distributed according to noncentral chi-square distri...

Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data

Introduction Perinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to...

Cyclic order superpositions enable quantum information transmission through completely depolarizing channels

Abstract Noise fundamentally limits quantum communication capacity, completely preventing information transmission in fully depolarizing environments. While indefinite causal order theoretically circumvents this limitation, experimentally r...

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches

Abstract This paper introduces the design and exploration of a compact, high-performance multiple-input multiple-output (MIMO) antenna for 6G applications operating in the terahertz (THz) frequency range. Leveraging a meta learner-based sta...

Beyond Herd Immunity Against Strategic Attackers

Herd immunity, one of the most fundamental concepts in network epidemics, occurs when a large fraction of the population of devices is immune against a virus or malware. The few individuals who have not taken countermeasures against the thr...

Interplay of physical activity, self-rated health, and life satisfaction among large-bodied adolescents in Europe and North America: analysis using clustered binary mixed effects logit modelling

Abstract Background There is a dearth of studies focused on the impact of self-rated health on life satisfaction among large-bodied adolescents, as well as the moderating role of physical activity in this relationship. Large-bodied adolesce...

Lost or Found? Discovering Data Needed for Research

Research Frontiers in the Field of Agricultural Resources and the Environment

From the perspective of project and paper datasets, research frontier recognition in the field of agricultural resources and the environment using the Latent Dirichlet Allocation (LDA) topic extraction model was studied. By combining the wi...

Solving Composite Fixed Point Problems with Block Updates

Various strategies are available to construct iteratively a common fixed point of nonexpansive operators by activating only a block of operators at each iteration. In the more challenging class of composite fixed point problems involving op...

Data-driven materials research enabled by natural language processing and information extraction

Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...

Optimising Contextual Embeddings for Meaning Conflation Deficiency Resolution in Low-Resourced Languages

Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in ...

Digital footprints as a tool to evaluate the spatiotemporal environmental impacts of grocery shopping across Great Britain

Introduction & Background Climate change represents one of the most pressing challenges of our time. Within this context, the food sector is a critical domain for intervention, accounting for approximately one-third of global greenhouse gas...