Ant based approach to the optimal deployment in wireless sensor networks by LIU Wei1, CUI Li1

“…The algorithms key choice and pa-rameters setting to meet different practical requirements for certain applications are also studied through largely simulations. …”
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High performance big data computing systems for government governance by Weigang WU, Liang CHANG, Jiangtao REN, Tianlong GU

“…,bring new challenges to big processing platform,and new design is desirable.Based on the requirements of applications,the challenges in big data processing for government governance scenarios were analyzed,and key techniques in distributed parallel processing for public governance were discussed,including data storage,computing platform,and key algorithms.The state-of-art techniques were investigated and reviewed,and a candidate framework for government governance data process system was proposed,the pros and cons of different technical methodologies were also discussed.Finally,the open problems and future directions were also discussed.…”
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The ARTificial revolution. Introducing generative artificial intelligence tools into artistic education by Andrés Torres-Carceller

“…The aim of combining AI algorithms with traditional image editing techniques is not only to teach instrumental skills but also to foster a critical understanding of the limitations and risks associated with these technologies, promoting responsible and ethical use. …”
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Efficient separate quantification of state preparation errors and measurement errors on quantum computers and their mitigation by Hongye Yu, Tzu-Chieh Wei

“…The results indicate that the state preparation error rate is also an important metric for qubit metrology that can be efficiently obtained.…”
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Forecasting the volatility of Financial Time Series by Tree Ensembles by O. S. Vidmant

“…More stringent liquidity and transparency standards in relation to the financial sector also encourage participants to experiment with protective mechanisms and to create predictive algorithms that can not only reduce the losses from the volatility of financial instruments but also benefit from short-term investment manipulations. …”
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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ by Peter Forbrig

“…The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. …”
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Zero-shot performance analysis of large language models in sumrate maximization. by Ali Abir Shuvro, Md Shahriar Islam Bhuiyan, Faisal Hussain, Md Sakhawat Hossen

“…In the field of Networking, LLMs can also play a major role when it comes to resource optimization and sharing. …”
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From static to dynamic evaluation: The potentials and challenges of dashboards to account for NRSs by Árni Már Einarsson, Jacob Ørmen

“…The construction of dashboards informs a discussion about how theoretical ideas about news use are informing for how evaluation approaches are pre- and configured, but also their potentials of refiguring the editorial control in algorithmic curation.…”
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UAV-Enabled Diverse Data Collection via Integrated Sensing and Communication Functions Based on Deep Reinforcement Learning by Yaxi Liu, Xulong Li, Boxin He, Meng Gu, Wei Huangfu

“…Three state-of-the-art deep reinforcement learning (DRL) algorithms are utilized to solve this optimization. …”
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Research Progress on Techniques for Quantitative Detection of Starch in Food in the Past Five Years by Xiao Wei, Fang Li, Yinfeng Liu, Song Li, Yachao Liu, Daming Dong

“…Their problems in real sample detection (e.g., time-consuming, cumbersome operation, over-reliance on modeling algorithms, etc.) were analyzed. Challenges and future trends are also presented with the expectation of providing useful references for future research and practical applications. …”
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A Systematic Survey of Sparse Clustering by Josephine Bernadette M. Benjamin, Miin-Shen Yang

“…We also investigate the use of regularization terms in the sparse clustering algorithms. …”
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Replace government healthcare with patient-controlled health care by Deane Waldman

“…In addition, aspects of the article analysis also apply to single-payer countries (Canada, the United Kingdom, France and Spain). …”
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Analytical Solution of Fractional Oldroyd-B Fluid via Fluctuating Duct by Ying Qing Song, Aamir Farooq, Muhammad Kamran, Sadique Rehman, Muhammad Tamoor, Rewayat Khan, Asfand Fahad, Muhammad Imran Qureshi

“…Furthermore, the confirmation of the analytical solutions is also analyzed by utilizing the Tzou’s and Stehfest’s algorithms in the tabular form. …”
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IMMUNOPATHOGENESIS OF MYASTHENIA GRAVIS (REVIEW) by E. D. Gasymly

“…The prognostic criteria describing the course of myasthenia gravis and the type of antibodies isolated in the blood serum of the patient. Also, already have been developed mechanisms of failure of autotolerance, triggering the production of antibodies to their own structures, and their genetic bases are also described. …”
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A Hybrid Key Generator Model Based on Multiscale Prime Sieve and Quantum-Inspired Approaches by Gerardo Iovane, Elmo Benedetto

“…It combines number theory with techniques emulated and inspired by quantum mechanics, also based on two demons capable of dynamically modifying the cryptographic model. …”
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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

“…The goal of this research is to first develop an accurate ensemble model for prediction of unseen cases of CKD given the biomarkers. Also, we have implemented the Explainable AI (XAI) algorithms to interpret the decision-making process of the ensemble models in terms of dominating features and the feature values. …”
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Computational methods for protein identification from mass spectrometry data. by Leo McHugh, Jonathan W Arthur

“…The evolution of scoring algorithms and metrics for automated protein identification are also discussed with a focus on the relative performance of different techniques. …”
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Energetic basis in rational constructions projection by Panchenko Larisa, DRUZHININA Tatyana

“…The obtained dependencies as a result of the study allow to obtain a rational solution in strength, durability, manufacturability, and material consumption, which in turn helps to reduce the cost of construction of buildings and structures, as well as the costs of their reconstruction. Also, the proposed algorithms for the development of rational systems are aimed at software design.…”
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Chronobiologically-informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes... by Jamison H Burks, Leslie Joe, Karina Kanjaria, Carlos Monsivais, Kate O'laughlin, Benjamin L Smarr

“…Continuous glucose monitoring devices are commercially available and used to track glucose at high temporal resolution so that individuals can make informed decisions about their metabolic health. Algorithms processing these continuous data have also been developed that can predict glycemic excursion in the near future. …”
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Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation by B. Shamreen Ahamed, Meenakshi S. Arya, Auxilia Osvin V. Nancy

“…Diseases include diabetes mellitus disease, fatal heart diseases, and symptomatic cancer. There are many algorithms that have played a critical role in the prediction of diseases. …”
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