A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy by Chetan Shetty, S. Seema, B. J. Sowmya, Rajesh Nandalike, S. Supreeth, Dayananda P., Rohith S., Vishwanath Y., Rajeev Ranjan, Venugopal Goud

“…The input parameters are fed to DBSCAN algorithm to obtain clustering results.…”
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Optimal nonlinear filtering of MPSK signals in the presence of a Doppler frequency shift by G. V. Kulikov, T. T. Do, R. R. Usmanov

“…It was shown that the synthesized quasi-coherent algorithm compensates well for the MPSK signal phase fluctuations caused by the instability of the master oscillator and the Doppler effect.Conclusions. …”
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Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration by Ghulam Abbas, Zhi Wu, Aamir Ali

“…To address the pointed‐out challenge of multiperiod optimal DG allocation and reconfiguration while simultaneously decreasing the cost of energy supplied, the cost of energy lost, and the voltage deviation, a novel Multi‐objective Bidirectional co‐evolutionary algorithm (BiCo) is implemented. For better exploration and exploitation, the proposed algorithm integrating the constraint domination principle evolves the population from the feasible and infeasible search space with the help of a novel angle‐based density section. …”
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Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. While computational propaganda influences modern society, it is hard to measure or detect it. …”
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Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers by Mohammed Achite, Okan Mert Katipoğlu, Veysi Kartal, Metin Sarıgöl, Muhammad Jehanzaib, Enes Gül

“…Similarly, the CNN-RNN algorithm achieved the best performance at the Kef Mehboula station, with metrics of MSE: 0.298, MAE: 0.335, MBE: −0.018, and R: 0.597.…”
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Polarity-JaM: an image analysis toolbox for cell polarity, junction and morphology quantification by Wolfgang Giese, Jan Philipp Albrecht, Olya Oppenheim, Emir Bora Akmeriç, Julia Kraxner, Deborah Schmidt, Kyle Harrington, Holger Gerhardt

“…Advances in fluorescence microscopy and deep learning algorithms open up a wealth of unprecedented opportunities to characterise various aspects of cell polarity, but also create new challenges for comprehensible and interpretable image data analysis workflows to fully exploit these new opportunities. …”
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Testing the Strength of Chaotic Systems as Seeds in a Pseudo Random Bit Generator by Lazaros Moysis, Marcin Lawnik, Christos Volos, Murilo S. Baptista, Sotirios K. Goudos, George F. Fragulis

“…These observations can serve as guidelines for all future chaotic encryption algorithms, and chaos-based security-related applications in general.…”
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Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing by Lei Shi, Yulin Zhu, Youpeng Zhang, Zhongji Su

“…Next, the Support Vector Machine (SVM) algorithm was used to construct a signal equipment fault diagnostic model that reduced the impact of sample data imbalance on the classification accuracy. …”
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Multi-objective Newton-Raphson-based optimizer for fractional-order control of PEM fuel cells by Mahmoud S. AbouOmar, Sami El Ferik

“…Results demonstrate the competitive capabilities of the proposed MONRBO algorithm compared to established algorithms including the Nondominated Sorting Genetic Algorithm-II (NSGA-II), Multi-objective Evolutionary Algorithm based on Decomposition (MOEA-D), and Multi-objective Particle Swarm Optimization with Crowding Distance (MOPSO-CD). …”
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SVDD: SAR Vehicle Dataset Construction and Detection by Dan Gao, Xiaofang Wu, Zhijin Wen, Yue Xu, Zhengchao Chen

“…With the advent of high-quality SAR images and the rapid development of computing technology, the object detection algorithms based on convolution neural network have attracted a lot of attention in the field of SAR object detection. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…In this paper, we review recent algorithms for semantic parsing including both conventional machine learning approaches and deep learning approaches. …”
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Mathematical model and nanoindentation properties of the claws of Cyrtotrachelus buqueti Guer (Coleoptera: Curculionidae) by Longhai Li, Wei Sun, Ce Guo, Huafeng Guo, Liu Lili, Ping Yu

“…To improve the quality of the SEM images, a non‐local means (NLM) algorithm and an improved NLM algorithm were applied. …”
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In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes by Amal Hkiri, Mouna Karmani, Fawaz Hasan Alasmary, Omar Ben Bahri, Ahmed Mohammed Murayr, Mohsen Machhout

“…Block ciphers, which are fundamental cryptographic algorithms used for encrypting data, play a critical role in ensuring data security within these environments. …”
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Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amoun... by Hedayat Sheikh Ghaderi, abdulsalam ‪aminpour, Parviz Ziaeian Firoozabadi

“…In the second stage, the linear extraction algorithm for extracting the lake boundary and coastline using corona and hexagon photographs has high accuracy and has a high correlation with the topographic map of 1.50000. …”
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Ankrd1 as a potential biomarker for the transition from acute kidney injury to chronic kidney disease by Hailin Li, Lemei Hu, Changqing Zheng, Ying Kong, Ming Liang, Quhuan Li

“…Analysis of intercellular crosstalk, trajectory and machine learning algorithms revealed hub cell clusters and genes. Proximal tubule (PT) cells, especially a new cluster (New PT2), significantly interacted with fibroblasts during the transition. …”
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The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

“…In order to ascertain which patients are at risk, statistical and machine-learning (ML) algorithms were employed to predict which patients with leukemia will develop thrombosis. …”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…What are the meanings of fundamental concepts such as algorithms, machine learning, and artificial neural networks? …”
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Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

“…We identified the hub LLPS-RGs (DE-LLPS-RGs) (HSPB3, SLC16A1, TRIM22, SRI, PLEKHG6, GBP1, PADI2) by machine learning algorithms. Hub genes were screened that displayed high prediction accuracy of UC patients. …”
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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

“…Although the advent of methylation microarrays such as the HumanMethylation450 platform has greatly reduced the dimensionality of the problem from billions to 450K positions, this data size is still too large to be processed by machine learning algorithms for cancer prediction and classification. …”
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Design and Implementation of an Ethical AI-Based Teaching Assistant for IoT Security Education by Matilda Isaacs, Anwar Majeed, Karim Moussa, Dolapo Shodipo

“…Central to the project's success was a robust design phase that included carefully selecting AI algorithms, a modular and scalable architecture, an intuitive user interface, and efficient data flow mechanisms. …”
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