Determination of Coefficients of High-Order Schemes for Riemann-Liouville Derivative by Rifang Wu, Hengfei Ding, Changpin Li

“…Although there have existed some numerical algorithms for the fractional differential equations, developing high-order methods (i.e., with convergence order greater than or equal to 2) is just the beginning. …”
Get full text

Resilient Transportation Network Design under Uncertain Link Capacity Using a Trilevel Optimization Model by Mohammad Rahdar, Lizhi Wang, Jing Dong, Guiping Hu

“…Two algorithms have been developed to solve the trilevel model. …”
Get full text

A FEW PRELIMINARY CONSIDERATIONS ON INFRINGEMENT OF COPYRIGHT BY ARTIFICIAL INTELLIGENCE by Paul-George BUTA

“…Taking all this into account clarifies the issues that could be incidental to an analysis of possible risks of copyright infringement by artificial intelligence models and also provides some guidance as to the perspectives from which such analysis could be conducted.…”
Get full text

Hybrid Censoring Schemes with Mixture Gamma Failure Distribution by Hassan M. Aljohani, Nada M. Alfaer

“…Bayes estimators and corresponding highest posterior density confidence intervals will be tabled. Also, Markov chain Monte Carlo simulation is implemented to compare the performances of the different methods and the real dataset is analyzed for illustrative purposes.…”
Get full text

Uncertainty of Counterfactuals in Deep Learning by Katherine Elizabeth Brown, Doug Talbert, Steve Talbert

“…As part of our analysis, we also measure the extent to which counterfactuals can be considered anomalies in those data sets. …”
Get full text

Exploring the Role of Artificial Intelligence in Dental Implantology: A Scholarly Review by Abdulrahman Ahmed Aseri

“…Ethical considerations, integration challenges, and future AI prospects in implant dentistry are also discussed to provide a comprehensive overview. …”
Get full text

Collateral Damage. Online Reception of Tolstoy and Dostoevsky after the Invasion of Ukraine by Iris Uccello, Gabriele Vezzani

“…The findings also raise questions about the impact of cultural boycotts, fake reviews, and bots on shaping public sentiment. …”
Get full text

Probabilistic Operation of the Microgrids Including Active Loads and Distributed Generation Constrained to Flexibility and Reliability Indices by Hosein Hasan Shahi, Mehdi Nafar, Mohsen Simab

“…The ant-lion and crow search algorithms are merged to solve the problem and find a reliable optimal solution. …”
Get full text

Assessing the Current Limitations of Large Language Models in Advancing Health Care Education by JaeYong Kim, Bathri Narayan Vajravelu

“…The practical use of current LLMs in health care sparks great anticipation for new avenues, yet its embracement also elicits considerable concerns that necessitate careful deliberation. …”
Get full text

Impact of imbalanced features on large datasets by Waleed Albattah, Rehan Ullah Khan

“…The exponential growth of image and video data motivates the need for practical real-time content-based searching algorithms. Features play a vital role in identifying objects within images. …”
Get full text

Statistical dynamics of flowing red blood cells by morphological image processing. by John M Higgins, David T Eddington, Sangeeta N Bhatia, L Mahadevan

“…We analyze these interactions using computational morphological image analysis and machine learning algorithms to quantify the non-equilibrium fluctuations of cellular velocities in a minimal, quasi-two-dimensional microfluidic setting that enables high-resolution spatio-temporal measurements of blood cell flow. …”
Get full text

Torque ripple reduction and increasing of torque per volume for hybrid electrical vehicle by A. Hosseinpour

“…Because torque ripple not only reduces control precision but also increases elements vibration that causes acoustic noise, mechanical instability and early aging parts. …”
Get full text

On Constructing Dynamic and Forward Secure Authenticated Group Key Agreement Scheme from Multikey Encapsulation Mechanism by Iraj Fathirad, John Devlin

“…Furthermore, to address the associated lack of forward-secrecy, we propose two variants of this generic construction which can also provide a means of forward secrecy at the cost of extra communication round. …”
Get full text

Navigating the Moral Maze: Ethical Challenges and Opportunities of Generative Chatbots in Global Higher Education by Dwi Mariyono, Akmal Nur Alif Hidayatullah

“…The rise of generative artificial intelligence (AI), such as ChatGPT, enhances higher education through personalized learning, administrative automation, and increased accessibility. However, it also raises ethical concerns about data security, academic integrity, algorithmic bias, and learner autonomy. …”
Get full text

Building a Process Driven Organization with the Process Normalization Technique by Václav Řepa

“…Important connected problems of structural algorithmic thinking, as well as other ways of manifesting the previously mentioned essential object-processes unity in the business system, are also discussed in the article.…”
Get full text

Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition by Dan QU, Wen-lin ZHANG

“…Original eigenphone speaker adaptation method performed well when the amount of adaptation data was suffi-cient.However,it suffered from server overfitting when insufficient amount of adaptation data was provided.A sparse group LASSO(SGL) constraint eigenphone speaker adaptation method was proposed.Firstly,the principle of eigenphone speaker adaptation was introduced in case of hidden Markov model-Gaussian mixture model (HMM-GMM) based speech recognition system.Then,a sparse group LASSO was applied to estimation of the eigenphone matrix.The weight of the SGL norm was adjusted to control the complexity of the adaptation model.Finally,an accelerated proximal gradient method was adopted to solve the mathematic optimization.The method was compared with up-to-date norm algorithms.Experiments on an mandarin Chinese continuous speech recognition task show that,the performance of the SGL con-straint eigenphone method can improve remarkably the performance of the system than original eigenphone method,and is also superior to l₁、l₂-norm and elastic net constraint methods.…”
Get full text

Research on group type theory and its functorial semantic models in category logic. by Jian-Gang Tang, Yimamujiang Aishan, Ji-Yu Liu, Jia-Yin Peng

“…In practical applications, the introduction of group structures into types is anticipated to optimize algorithms and data structures, leveraging the algebraic properties of groups to enhance computational efficiency. …”
Get full text

Filter-enhanced adiabatic quantum computing on a digital quantum processor by Erenay Karacan, Conor Mc Keever, Michael Foss-Feig, David Hayes, Michael Lubasch

“…Eigenstate filters underpin near-optimal quantum algorithms for ground-state preparation. Their realization on current quantum computers, however, poses a challenge as the filters are typically represented by deep quantum circuits. …”
Get full text

Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks by Roberto Magán-Carrión, José Camacho, Pedro García-Teodoro

“…We also introduce a novel data arrangement method to exploit the spatial correlation among the sensors in a more efficient manner. …”
Get full text

Distinguishing Human From Machine: A Review of Advances and Challenges in AI-Generated Text Detection by Serena Fariello, Giuseppe Fenza, Flavia Forte, Mariacristina Gallo, Martina Marotta

“…This advancement offers benefits in various domains, including medicine, education, law, coding, and journalism, but also has negative implications, mainly related to ethical concerns. …”
Get full text