An Analysis on the Applicability of Meta-Heuristic Searching Techniques for Automated Test Data Generation in Automatic Programming Assessment by Musa et al.

“…Several recent MHST are included in the comparative evaluation combining both the local and global search algorithms ranging from the year of 2000 until 2018. …”
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FROM SURVEYING TO GEOMATICS by BESIM AJVAZI, FISNIK LOSHI, BÉLA MÁRKUS

“…The traditional top-down approach substituted by bottom-up methodologies; in many cases the point-by-point measurement is changed by 3D laserscanning or Unmanned Aerial Systems, which produces huge amount of data, but it needs new algorithms for information extraction; instead of a simple data provision land surveyors support complex spatial decisions. …”
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Proposing a Postcritical AI Literacy by Eugenia Stamboliev

“…For instance, it makes us focus too much on algorithmic opacity, rather than explaining the wider power of AI. …”
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Recent Trends in the Quality Module of Sustainable Water Management Models-A Systematic Review by C. Subashini, Suseela Sellamuthu

“…Many studies focus on hybrid algorithms for analyzing water resource management. …”
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From Classic to Cutting-Edge: A Near-Perfect Global Thresholding Approach with Machine Learning by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

“…Image binarization is an important process in many computer-vision applications. This transforms the color space of the original image into black and white. …”
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SatBałtyk - A Baltic environmental satellite remote sensing system - an ongoing project in Poland. Part 1: Assumptions, scope and operating range by Bogdan Woźniak, Katarzyna Bradtke, Mirosław Darecki, Jerzy Dera, Joanna Dudzińska-Nowak, Lidia Dzierzbicka-Głowacka, Dariusz Ficek, Kazimierz Furmańczyk, Marek Kowalewski, Adam Krężel, Roman Majchrowski, Mirosława Ostrowska, Marcin Paszkuta, Joanna Stoń-Egiert, Małgorzata Stramska, Tomasz Zapadka

“…Monitoring results obtained with these preliminary algorithms are exemplified in the form of distribution maps of selected abiotic parameters of the Baltic, as well as structural and functional characteristics of this ecosystem governed by these parameters in the Baltic's many basins. …”
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Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data by Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone

“…Abstract Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for understanding complex cellular regulation. …”
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Canadian Public Health Laboratory Network laboratory Guidelines for the Diagnosis of Neurosyphilis in Canada by Tom Wong, Kevin Fonseca, Max A Chernesky, Richard Garceau, Paul N Levett, Bouchra Serhir

“…Neurosyphilis has been categorized in many ways including early and late, asymptomatic versus symptomatic and infectious versus non-infectious. …”
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Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. …”
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Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review by Rim Missaoui, Wided Hechkel, Wajdi Saadaoui, Abdelhamid Helali, Marco Leo

“…In the light of recent developments in brain tumor analysis, many algorithms have been proposed to accurately obtain ontological characteristics of tumors, enhancing diagnostic precision and personalized therapeutic strategies.…”
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RADIO FREQUENCY BASED INPAINTING FOR INDOOR LOCALIZATION USING MEMORYLESS TECHNIQUES AND WIRELESS TECHNOLOGY by Tammineni Shanmukha Prasanthi, Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao, Raj Kumar Goswami, Gottapu Santosh Kumar

“…The algorithms are compared based on their performance in terms of Mean Square Error, Root Mean Square Error, Mean Absolute Error and R2. …”
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Skew Logistic Distribution Applied as Activation Function in Artificial Neural Networks by Eder Silva Dos Santos, Altemir da Silva Braga, Ana Beatriz Alvarez, Thuanne Paixao

“…In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. …”
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Dissecting polytopes: Landau singularities and asymptotic expansions in 2 → 2 scattering by Einan Gardi, Franz Herzog, Stephen Jones, Yao Ma

“…Abstract Parametric representations of Feynman integrals have a key property: many, frequently all, of the Landau singularities appear as endpoint divergences. …”
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Reliability-Constrained Structural Design Optimization Using Visual Programming in Building Information Modeling (BIM) Projects by Feyzullah Yavan, Reza Maalek

“…Providing safe, environmentally conscious, and cost-effective designs is the primary duty of civil engineers. To this end, many different algorithms and methods have been developed in parallel with the progress of digital technologies over the past decades. …”
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Mathematics teachers’ perceptions of computational thinking and its integration into mathematics education by Muhammad Zuhair Zahid

“…Computational thinking is a problem-solving process involving abstraction, algorithmic thinking, automation, debugging, decomposition, and generalisation. …”
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Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing. by Andrei Prodan, Valentina Tremaroli, Harald Brolin, Aeilko H Zwinderman, Max Nieuwdorp, Evgeni Levin

“…However, specialized software and algorithms are needed to convert raw sequencing data into biologically meaningful information (i.e. tables of bacterial counts). …”
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Grid-Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three-Level NPC Inverter by D. Ravi Kishore, T. Vijay Muni, B. Srinivas Raja, Mukesh Pushkarna, B. Srikanth Goud, Kareem M. AboRas, Sadam Alphonse

“…In-depth information on the many possible NPC inverter designs and modulation strategies was provided. …”
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Seismic Events Prediction Using Deep Temporal Convolution Networks by Yue Geng, Lingling Su, Yunhong Jia, Ce Han

“…Results show that DCTCNN and CNN-LSTM are superior than the other five algorithms, and they successfully complete the seismic prediction task.…”
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An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study by Filip Wójcik

“…The proposed model outperformed other algorithms in terms of F1 score, precision, and ROC AUC in both training and testing phases. …”
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Research Advances in Large Deformation Analysis and Applications of the Material Point Method by Changhong Zhou, Qing Zhong, Xuejiao Zhou, Xionghua Wu, Shiyi Chen

“…This paper begins by introducing the fundamental theory and contact algorithms of the MPM. It then systematically summarizes the latest advancements and applications of the MPM, including its hybridization and coupling with other algorithms, in simulating various large deformation scenarios such as high-speed impacts, explosions, dynamic cracking, penetration, and fluid–structure interactions. …”
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