A new temporal locality-based workload prediction approach for SaaS services in a cloud environment by Wiem Matoussi, Tarek Hamrouni

“…In this regard, we have chosen to control the computation time by dynamizing the size of the sliding window associated to the recent history to be analyzed, since the larger the size of the entry in the prediction model, the more the algorithmic complexity increases. …”
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50 years of OR in railway timetabling and rolling stock planning by Pedro José Correia Duarte, Stéphane Dauzère-Pérès, Dennis Huisman, Carlo Mannino, Giorgio Sartor, Norman Weik, Philipp Widmann

“…This survey paper discusses the literature on Operations Research (OR) models and algorithms for railway planning in the last decades. …”
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Communicating the use of artificial intelligence in agricultural and environmental research by Aaron Lee M. Daigh, Samira H. Daroub, Peter M. Kyveryga, Mark E. Sorrells, Nithya Rajan, James A. Ippolito, Endy Kailer, Christine S. Booth, Umesh Acharya, Deepak Ghimire, Saurav Das, Bijesh Maharjan, Yufeng Ge

“…Abstract Transformative technologies such as artificial intelligence (AI) make difficult tasks more accessible and convenient. Since 2018, the use of AI in research has increased drastically, with annual publication rates of 3–5 times higher than pre‐2017. …”
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Sentinel-3 Altimetry Thematic Products for Hydrology, Sea Ice and Land Ice by Jérémie Aublanc, Julien Renou, Fanny Piras, Karina Nielsen, Stine K. Rose, Sebastian B. Simonsen, Sara Fleury, Stefan Hendricks, Nicolas Taburet, Giovanni D’Apice, Anouk Chamayou, Pierre Féménias, Filomena Catapano, Marco Restano

“…In this paper, the new architecture of the ground segment processing is presented, along with the major algorithmic developments. The main data content of the Thematic Products is also described, to indicate the key product variables for the end users. …”
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Insights into Nitrogen-Associated Protein 50 (NAP50) as a Tyrosyl–DNA Phosphodiesterase in Dinoflagellates by Lu Tang, Nora Fung-Yee Tam, Winnie Lam, Thomas Chun-Hung Lee, Steven Jing-Liang Xu, Fred Wang-Fat Lee

“…No progress has been made in discovering the function of NAP50 since its first characterization in 2009. The present study is a continuation of work on the predicted function of NAP50. …”
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Desktop Software for Patch-Clamp Raw Binary Data Conversion and Preprocessing by Ning Zhang, Yutao Tian, Lei Zhang, Zhuo Yang, Tao Zhang, Jishou Ruan

“…Since raw data recorded by patch-clamp systems are always stored in binary format, electrophysiologists may experience difficulties with patch clamp data preprocessing especially when they want to analyze by custom-designed algorithms. …”
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Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection by Vinicius Moretti, Everton L. Melo, Joao Carlos Colmenero

“…Decision-making is a complex task for people, professionally or personally, since the decision has several positive and negative consequences and cannot always be undone. …”
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Electrodynamic Model of the Signal Scattered by the Multilayer Structure with the Use of Physical Optics and Ray Tracing Technique by V. V. Bahchevnicov

“…To assess the performance of new algorithms for processing the radar signal reflected from the surfaces, full-scale tests are required. …”
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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts. by Matheus Viana da Silva, Natália de Carvalho Santos, Julie Ouellette, Baptiste Lacoste, Cesar H Comin

“…Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth labels for just a single image can take up to several hours. …”
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Material point physical model rationale while studying kinematic characteristics of a motor vehicle in case of oblique collision with side cable barriers by G. P. Kolesnikova

“…A review of the application of theoretical mechanics methods for the development of algorithms of approximate analytical simulation of a motor vehicle (MV) movement in case of oblique collision with side cable barriers is performed. …”
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A Machine Learning Approach to Wireless Propagation Modeling in Industrial Environment by Mohammad Hossein Zadeh, Marina Barbiroli, Franco Fuschini

“…The proposed model relies on a combination of predictive algorithms, including a linear regression model and a Multi-Layer Perceptron, working collaboratively to model the relationship between the considered propagation markers and input features like frequency and machine size, spacing, and density. …”
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Deep Learning Based Early Intrusion Detection in IIoT using Honeypot by Abbasgholi Pashaei, Mohammad Esmaeil Akbari, Mina Zolfy Lighvan, Asghar Charmin

“…The accuracy of DL algorithms has been shown across a range of scientific fields. …”
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Smart Water Level Indicator with Dry Protection Based on Ultrasonic Sensor Water indicator, Dry protection, Ultrasonic by Sarah Altufaily, Mohammed Kareem Mohammed, Samah Kareem Mohammed, Hussein Ahmed

“…The relay switch attached to this system will automatically turn on and off when the water level exceeds the preset algorithmic value, which is then displayed on the LCD screen. …”
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Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm by Gaetanino Paolone, Romolo Paesani, Francesco Pilotti, Jacopo Camplone, Andrea Piazza, Paolino Di Felice

“…Lighting Systems (LSs) play a fundamental role in almost every aspect of human activities. Since the advent of lights, both academia and industry have been engaged in raising the quality of the service offered by these systems. …”
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A New Multidimensional Computerized Testing Approach: On-the-Fly Assembled Multistage Adaptive Testing Based on Multidimensional Item Response Theory by Jingwen Li, Jianan Sun, Mingyu Shao, Yinghui Lai, Chen Chen

“…Based on MIRT, this study proposes an approach of multidimensional OMST (OMST-M), and on-the-fly automated test assembly algorithms are proposed based on point estimation and confidence ellipsoid, respectively. …”
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Water quality prediction using LSTM with combined normalizer for efficient water management by N. Mahesh, J. Jagan Babu, K. Nithya, S.A. Arunmozhi

“…Predicting water quality is a significant area of study in the field of smart water technology, since it may provide valuable assistance in managing and mitigating water pollution. …”
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Hybrid deep learning model for density and growth rate estimation on weed image dataset by Anand Muni Mishra, Mukund Pratap Singh, Prabhishek Singh, Manoj Diwakar, Indrajeet Gupta, Anchit Bijalwan

“…Abstract Agriculture research is particularly essential since crop production is a challenge for farmers in India and around the world. 37% of the crop is impacted by invasive plants (weeds). …”
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RLUNet: Overexposure-Content-Recovery-Based Single HDR Image Reconstruction with the Imaging Pipeline Principle by Yiru Zheng, Wei Wang, Xiao Wang, Xin Yuan

“…However, existing HDR image reconstruction algorithms often fail to recover fine details and do not adequately address the fundamental principles of the LDR imaging pipeline. …”
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The anthropomorphic pursuit of AI-generated journalistic texts: limits to expressing subjectivity by Cristian González-Arias, Cristian González-Arias, Eirini Chatzikoumi, Xosé López-García

“…Many newsrooms around the world are increasingly turning to artificial intelligence (AI) algorithms to generate journalistic content. Often, these machine-generated texts are distributed without being clearly identified as synthetic or hybrid. …”
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General Extensions and Improvements of Algebraic Persistent Fault Analysis by Hanbing Li, Kexin Qiao, Ye Xu, Changhai Ou, An Wang

“…Algebraic persistent fault analysis (APFA) combines algebraic analysis with persistent fault analysis, providing a novel approach for examining block cipher implementation security. Since its introduction, APFA has attracted considerable attention. …”
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