Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments by Hongling Wang, Chengjin Zhang, Yong Song, Bao Pang

“…The novel integration particle filter (IPF) and optimal improved EKF (IEKF) algorithms are derived for information-fusion systems to perform SLAM task in SAR scenarios. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…Abstract Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”
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The implementation of lean and digital management techniques using artificial intelligence in industrial settings by Aleksey Grigorievich Tashkinov

“…Enterprises using the potential of artificial intelligence demonstrate higher efficiency, complete orders ahead of schedule and benefit customers through innovative software and algorithms. This approach allows organizations to effectively manage their activities, providing value to customers and increasing their satisfaction. …”
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The siliconvalization of work. An argentine experience by Patricia Ventrici, Hernan Palermo

“…Any discussion about digital or algorithmic technologies leads us immediately into the already protracted debate about which stage of capitalism are we in right now. …”
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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

“…This study demonstrates the potential of using Japanese tweets and deep learning algorithms based on transformer networks for event-based surveillance at high spatiotemporal levels to enable early detection of heat stroke risks.…”
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Multiscale deformable registration of noisy medical images by Dana Paquin, Doron Levy, Lei Xing

“…Vese's, ''Amultiscale image representation using hierarchical (BV,L2) decompositions''(Multiscale Modeling and Simulations, 2 (2004): 4, pp. 554-579) is reviewed,and multiscale image registration algorithms are developed based on the mul-tiscale decomposition. …”
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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

“…Artificial intelligence algorithms can provide fast and cost-effective solutions for DR diagnosis. …”
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Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter by Lingaraj K., S. Supreeth, Yerriswamy T., Dayananda P., Rohith S., Shruthi G.

“…Developing systems capable of automatically detecting uncertain terms within a natural language is critical for developing effective text-analysis algorithms. Consequently, several NLP tools have been developed for this purpose. …”
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Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education by Shalece Kohnke, Tiffanie Zaugg

“…Ethical concerns, such as algorithmic bias (e.g., unequal representation in training datasets leading to unfair assessments) and data privacy risks (e.g., potential breaches of sensitive student data), require critical attention to ensure AI systems promote equity rather than exacerbate disparities. …”
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λ-Augmented Tree for Robust Data Collection in Advanced Metering Infrastructure by Joseph Kamto, Lijun Qian, Wei Li, Zhu Han

“…It relies on a loop detection scheme to define the criticality of a SM node and specifically targets cut SM node by selecting backup parent SM to cover its children. Detailed algorithms to create such AMI tree and related theoretical and complexity analysis are provided with insightful simulation results: sufficient redundancy is provided to alleviate data loss at the cost of signaling overhead. …”
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Balancing Technology, Ethics, and Society: A Review of Artificial Intelligence in Embryo Selection by Roberto Aufieri, Francesco Mastrocola

“…The reviewed literature identified further potential ethical concerns associated with this technique, including possible bias in the selection criteria, lack of transparency in black-box algorithms, risks of “machine paternalism” replacing human judgment, privacy issues with sensitive fertility data, equity of access, and challenges in maintaining human-centered care. …”
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A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things. by Umhara Rasool Khan, Javaid A Sheikh, Aqib Junaid, Shazia Ashraf, Altaf A Balkhi

“…A detailed comparison of the five regression-based ML algorithms is presented, and it is observed that the ML models help in efficient use of resources while designing an antenna for bio-medical applications.…”
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Integrated photonic programmable random matrix generator with minimal active components by Kevin Zelaya, Mostafa Honari-Latifpour, Mohammad-Ali Miri

“…In quantum information processing, random unitary operations are essential to boson sampling algorithms for multiphoton states in linear photonic circuits. …”
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Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation by Joseph P. Yurko, Jacopo Buongiorno, Robert Youngblood

“…The key innovation has come from development of code surrogate model (or code emulator) construction and prediction algorithms. Use of a fast emulator makes the calibration processes used here with Markov Chain Monte Carlo (MCMC) sampling feasible. …”
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Enhancing Driving Safety and Environmental Consciousness through Automated Road Sign Recognition Using Convolutional Neural Networks by M. H. F. Md Fauadi, M. F. H. Mohd Zan, M. A. M Ali, L. Abdullah, S. N. Yaakop and A. Z. M. Noor

“…CNNs, as deep learning algorithms, possess the ability to process and classify visual data, making them well-suited for image-based tasks such as road sign recognition. …”
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Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review by Manjusha Bhange, Darshan Telange

“…We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring of treatment efficacy, and enhance clinical decision-making. …”
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Author Correction: Considerations in the search for epistasis by Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine

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Toward secure and accountable data transmission in Narrow Band Internet of Things based on blockchain by Hanshu Hong, Bing Hu, Zhixin Sun

“…We describe the interaction processes between each layer in detail and construct the algorithms which are used to conduct data authentication and blockchain generation. …”
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Risk Assessment of Biological Asset Mortgage Loans of China’s New Agricultural Business Entities by Shuzhen Zhu, Yutao Chen, Wenwen Wang

“…Based on 1249 production and operation data samples of new agricultural entities in Zhejiang, Henan, and Shandong provinces, this study constructs an XGBoost model for empirical analysis and compares it with logical regression, support vector machine, and random forest algorithms to obtain the optimal model and feature importance value. …”
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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…Artificial intelligence algorithms have shown promising capabilities for Arabic speech recognition. …”
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