Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting by Joseline Sánchez-Solís, Marvin Coto-Jiménez

“…The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems. …”
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Modeling and proving dynamic behaviors of a routing protocol: A tutorial by Agnieszka Paszkowska, Konrad Iwanicki

“…By building a dedicated model of the protocol, we illustrate common problems, such as keeping complexity in control, modeling processing and communication, abstracting algorithms comprising the protocol, and dealing with open issues and external dependencies. …”
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Exchange-symmetrized qudit Bell bases and Bell-state distinguishability by Oscar Scholin, Theresa W. Lynn

“…Entanglement of qudit pairs, with single-particle Hilbert space dimension d, has important potential for quantum information processing, with applications in cryptography, algorithms, and error correction. For a pair of qudits of arbitrary even dimension d, we introduce a generalized Bell basis with definite symmetry under exchange of internal states between the two particles. …”
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Development of data-driven machine learning models and their potential role in predicting dengue outbreak by Bushra Mazhar, Nazish Mazhar Ali, Farkhanda Manzoor, Muhammad Kamran Khan, Muhammad Nasir, Muhammad Ramzan

“…This early warning system not only alerts communities but also aids relevant authorities in implementing crucial preventive measures.…”
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New insights into methods to measure biological age: a literature review by Aanchal Mathur, Sebastien Taurin, Sfoug Alshammary

“…We discussed some novel biomarkers and algorithms that can capture the dynamic and multidimensional aspects of aging at different levels. …”
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Cracking Process of Early-Age Concretes: Basis of Numerical Probabilistic Models by Pierre Rossi

“…Additionally, it outlines specific algorithmic development approaches tailored to each model. …”
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Quantum control of continuous systems via nonharmonic potential modulation by Piotr T. Grochowski, Hannes Pichler, Cindy A. Regal, Oriol Romero-Isart

“…Additionally, we propose protocols for single-shot orthogonal state discrimination, algorithmic cooling, and correcting for nonlinear evolution. …”
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A FEW PRELIMINARY CONSIDERATIONS ON INFRINGEMENT OF COPYRIGHT BY ARTIFICIAL INTELLIGENCE by Paul-George BUTA

“…The current piece aims to set out the core concepts, to list the possible issues to be addressed by further research and to suggest some perspectives to so address this matter. The most relevant from a copyright infringement perspective seem to be: (1) the distinction between inputs and outputs, i.e., the data the model is trained on and the product of the model; and (2) the existence of different models, each with a different level of human involvement and the existence, within each such model, of component algorithms, each with a different level of human input and relative importance of such. …”
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John Carpenters ›Halloween‹ – Beispiel einer softwaregestützten Spannungsanalyse by Julian Sittel

“…Based on the exemplary research project for the investigation of a horror film corpus, the system for the categorical classification and annotation of suspense content as well as the results of the algorithmic recognition of shot lengths, camera sizes, brightness and volume values and faces are presented. …”
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Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises by Yong Shi, Yuan Wang, Hongkun zuo

“…Through several machine learning models and algorithms to predict employee loyalty, the feasibility of machine learning to predict employee loyalty is proved, and the evaluation of talent in TSMEs is supported by decision analysis. …”
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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.…”
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Exploring ischemic stroke based on the ferroptosis perspective: ECH1 may serve as a new biomarker and therapeutic target by Rendong Qu, Yiyan Zhang, Haojia Zhang, Ke Li, Boning Zhang, Hongxuan Tong, Tao Lu

“…Using differential expression analysis and machine learning algorithms, 12 potential hub genes were successfully screened. …”
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A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid

“…The classical models utilized Genetic Algorithms (CGA) and Particle Swarm Optimization (CPSO) for hyperparameter tuning, while the quantum-inspired models employed Quantum Genetic Algorithms (QGAs) and Quantum Particle Swarm Optimization (QPSO). …”
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Evaluating the Potential of SDGSAT-1 Glimmer Imagery for Urban Road Detection by Yu Wang, Hailan Huang, Bin Wu

“…Watershed segmentation and optimal thresholding algorithms were applied to extract the road network data of these five cities. …”
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Advancement of artificial intelligence based treatment strategy in type 2 diabetes: A critical update by Aniruddha Sen, Palani Selvam Mohanraj, Vijaya Laxmi, Sumel Ashique, Rajalakshimi Vasudevan, Afaf Aldahish, Anupriya Velu, Arani Das, Iman Ehsan, Anas Islam, Sabina Yasmin, Mohammad Yousuf Ansari

“…These person-centred approaches to T2DM management, which are more effective and personalized than some traditional strategies, only work because of the often-hidden synergies between AI algorithms in areas such as diagnostic criteria, predictive methods, and familiar classification tools for subgroups with relevant aspects/predictors on prognosis or treatment responsiveness.…”
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Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for thyroid cancer by Peng Zhang, Meizhong Qin, Fen Li, Kunpeng Hu, He Huang, Cuicui Li

“…Most existing models rely on single-omics data and limited algorithms, reducing robustness and clinical value. …”
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Exploring the spatial segmentation of housing markets from online listings by David Abella, Johann H. Martínez, Mattia Mazzoli, Julien Migozzi, Thibault Le Corre, Eduard Alonso-Paulí, Rafel Crespí-Cladera, Thomas Louail, José J. Ramasco

“…This methodology addresses the long-standing issue of housing market segmentation, relevant in disciplines such as urban studies and spatial economics, and with implications for policymaking.…”
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Simulation-Based E-Learning Framework for Entrepreneurship Education and Training by Constanţa-Nicoleta Bodea, Radu Ioan Mogoş, Maria-Iuliana Dascălu, Augustin Purnuş, Narcisa Georgeta Ciobotar

“…The originality of the approach is that the framework is domain independent and uses advanced IT technologies, such as recommendation algorithms, agent-based simulations and extended graphical support. …”
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Trophic ulcers-Practical management guidelines by Vinita Puri, N Venkateshwaran, Nishant Khare

“…Based on these articles and the authors′ experiences algorithms for management have been presented to facilitate easier understanding. …”
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Validation of controllers for photovoltaic inverters using automated tests and hardware-in-the-loop by João V. L. Rosa, Luiz F. R. Menegazzo, Lucas V. Belinaso, Fernanda de M. Carnielutti, Humberto Pinheiro

“…The compliance of the controller with relevant standards was assessed through automated HIL testing. …”
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