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The integration of artificial intelligence (AI) into mobile applications has significantly transformed various domains, enhancing user experiences and providing personalized services through advanced machine learning (ML) and deep learning (DL) ...

• Developed AI Discriminator, identifying 56,682 AI apps from AndroZoo.
• Analyzed AI app popularity, update trends, and market distribution.
• Examined AI framework usage and model protection across the collected AI apps.
• ...

This paper analyzes modified ILU (MILU)-type preconditioners for efficiently solving the Poisson equation with Dirichlet boundary conditions on irregular domains. In [1], the second-order accuracy of a finite difference scheme developed by Gibou ...

• This study extends the analysis of the Gibou method to irregular three-dimensional domains, demonstrating second-order convergence in irregular domains.
• This section presents proof of the optimality of the MILU preconditioner, which ...

Many systems require certain level of dependability to fulfill their purpose in predefined conditions. To check whether such a requirement can be met, the designer of a system must use proper means to assess dependability qualitatively or ...

Context. Risk analysis assesses potential risks in specific scenarios. Risk analysis principles are context-less; the same methodology can be applied to a risk connected to health and information technology security. Risk analysis requires a vast ...

Sketchnoting is a form of visual notetaking that we use to com- municate and unpack our design research work in collaborative settings. However, the more we rely on these sketches we find that while they provide clarity, they can also obscure ...

Explore Further @ Bing (Web Recommendations) is a web-scale query independent webpage-to-webpage recommendation system with an index size of over 200 billion webpages. Due to the significant variability in webpage quality across the web and the reliance ...

Non-negative constraints arise in certain system identification problems when the systems to be identified have only positive coefficients. This paper studies the stochastic behavior of modified LMS and NLMS algorithms, modified so as to only ...

• Convergence of LMS and NLMS algorithms under non-negative weight constraints.
• At each iteration, the weight vector is projected onto the feasible space.
• The new algorithm optimally projects the weight vector onto the feasible set.

Traditional models that are dedicated to environment analysis and anticipation help deciders reinforce decision-making in both the academic and professional worlds. Nevertheless, as useful as these models are, it seems they are not effective, as ...

• The paper addresses the need for a new research approach in intelligence & strategy.
• It offers an approach to analyze situations in VUCA contexts.
• The Drill Model is comprehensive approach joining qualitative & quantitative method.

There are software systems that function without human interven- tion. Such systems work according to preset rules, algorithms, or data. In this doctoral research, we aim to explore the testing-related challenges associated with such systems with GCC ...

Controversy encompasses content that draws diverse perspectives, along with positive and negative feedback on a specific event, resulting in the formation of distinct user communities. we explore the explainability of controversy through the lens ...

The process of transitioning Business Intelligence (BI) data to cloud environments involves migrating data, on-premises BI tools, services, and to a distributed cloud-based infrastructure. The success of this transition depends on meticulous planning and ...

The theorem that a closed unit ball is compact if, and only if, its vector space is finite dimensional showcases how unintuitive infinite dimensional spaces can be. Many proofs skip over what’s considered obvious, leaving readers unaware of the ...

The open-source HYPEtools R package aims to address current challenges in hydrological modeling and data analysis by providing a suite of tools for data management, visualization, interpretation, and exploration. Originally developed as a ...

• HYPEtools is an R package for analysis and visualization of hydrological data.
• HYPEtools supports development & calibration of hydrological models such as HYPE.
• The package includes interactive features for mapping, plotting, & ...

Large Language Models are revolutionizing legal work by automating tasks like legal research, contract review, document drafting, and generating summaries from complex legal documents, making these processes more efficient. They’re trained in ...

A growing number of scholars are exploring ideas ‘in the wild’ and across different timescales through qualitative research, and especially ethnography. Previous controlled and lab-based studies have formalized techniques to encourage idea development ...

Preliminary security risk analysis (PSRA) provides a quick approach to identify, evaluate, and propose remediation to potential risks in specific scenarios. The extensive expertise required for an effective PSRA and the substantial textual-related tasks ...

The foundational-cum-descriptive study aims to document Rangri vowel realizations acoustically. The Rangri is a member of the Indo-Aryan language family. Ranghar Muhajir of Pakistani Punjab and some parts of Sindh speak Rangri-a zero-resource ...

• Behavior of the diffusion LMS algorithm is analyzed in the presence of delays in probing the unknown system.
• Cyclostationary white Gaussian and non-Gaussian nodal inputs are considered.
• The types of input distribution and the ...

The paper studies the behavior of the diffusion least mean square (DLMS) algorithm in the presence of delays in probing the unknown system by the nodes. The types of input distribution and the probing delays can be different for different nodes. ...

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling multiple parties to train a model collaboratively without sharing their data. With the upcoming Sixth Generation (6 G) era, FL is expected to adopt a more ...

Trace replay is a common approach for evaluating systems by rerunning historical traffic patterns, but it is not always possible to find suitable real-world traces at the desired level of system load. Experimenting with higher traffic loads requires ...