Manipulation of 2D and 3D Magnetic Solitons Under the Influence of DMI Gradients by Rayan Moukhader, Davi Rodrigues, Eleonora Raimondo, Vito Puliafito, Bruno Azzerboni, Mario Carpentieri, Abbass Hamadeh, Giovanni Finocchio, Riccardo Tomasello

“…Magnetic solitons hold great promise for token-based computing applications due to their intrinsic properties, including small size, topological stability, ultra-low power manipulation, and potentially ultra-fast operation. …”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…Autonomous vehicles (AVs), particularly self-driving cars, have produced a large amount of interest in artificial intelligence (AI), intelligent transportation, and computer vision. Tracing and detecting numerous targets in real-time, mainly in city arrangements in adversarial environmental conditions, has become a significant challenge for AVs. …”
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Carbon finance for forest resilience in California by Micah Elias, Ethan Yackulic, Katharyn Duffy, Katharyn Duffy, Phil Saksa, Daniel L. Sanchez, Nicholas Pevzner, Spencer Plumb, Jillian Dyszynski, Carina Bracer

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MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

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Extremely early initiation of vasopressors might not decrease short-term mortality for adults with septic shock: a systematic review and meta-analysis by Cheng-Hsin Ma, Jack Healy, Ebrima Kinteh, Cheng-Chin Ma, Ching-Fang Tiffany Tzeng, Eric H. Chou, Chin-Chieh Wu, Shih-Chieh Shao, Kuan-Fu Chen

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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

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Convolutional Attention Based Mechanism for Facial Microexpression Recognition by Hafiz Khizer Bin Talib, Kaiwei Xu, Yanlong Cao, Yuan-Ping Xu, Zhijie Xu, Muhammad Zaman, Adnan Akhunzada

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Accounting for racial bias and social determinants of health in a model of hypertension control by Yang Hu, Nicholas Cordella, Rebecca G. Mishuris, Ioannis Ch. Paschalidis

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PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation by Amr Magdy, Khalid N. Ismail, Marghny H. Mohamed, Mahmoud Hassaballah, Haitham Mahmoud, Mohammed M. Abdelsamea

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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

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Analysis of Bulk Queueing Model with Load Balancing and Vacation by Subramani Palani Niranjan, Suthanthiraraj Devi Latha, Sorin Vlase, Maria Luminita Scutaru

“…In this paper, we incorporated the load-balancing technique used in cloud computing with power business intelligence (BI) and cloud load based on the queueing theoretic approach. …”
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Thermal performance analysis capturing variable liquid characteristics based on chemically reactive rheological liquid with diffusive-thermo and thermo-diffusive effect by Attia Boudjemline, M. Waqas, Nurnadiah Zamri, Mohammed Jameel, Hala A. Hejazi, Saidani Taoufik, Meznah M. Alanazi, Oqila Ganiyeva

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Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension by Claire M. Owen, Jaume Bacardit, Maw P. Tan, Nor I. Saedon, Choon‐Hian Goh, Julia L. Newton, James Frith

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Cloud-based map alignment strategies for multi-robot FastSLAM 2.0 by Shimaa S Ali, Abdallah Hammad, Adly S Tag Eldien

“…Even though mapping of very large environments is theoretically quicker than a single robot simultaneous localization and mapping, it has several additional challenges such as the map alignment and the merging processes, network latency, administering various coordinate systems and assuring synchronized and updated data from all robots and also it demands massive computation. This article proposes an efficient architecture for cloud-based cooperative simultaneous localization and mapping to parallelize its complex steps via the multiprocessor (computing nodes) and free the robots from all of the computation efforts. …”
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Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems by Colin G. Johnson, Jon McCormack, Iria Santos, Juan Romero

“…One of the general aims of evolutionary art research is to build a computer system capable of creating interesting, beautiful, or creative results, including images, videos, animations, text, and performances. …”
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The Fourth Industrial Revolution: Another Industrial Revolution Leaving Black Women Behind? by Malaika Mahlatsi

“…This fusion of advances in complex technologies, including but not limited to robotics, quantum computing, blockchain, artificial intelligence (AI) and the internet of things (IoT), would affect all disciplines and industries of the modern world. …”
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HARMONIZATION OF HISTORICAL DATA AND EXPERT MODELS FOR FORECASTING DEMAND FOR RAIL TRANSPORTATION by A. Zamkovoy, S. Kudiyarov, R. Martyshkin, V. Strizhov

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An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series by Stavros-Richard G. Christopoulos, Nicholas V. Sarlis

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Quasisynchronization in Quorum Sensing Systems with Parameter Mismatches by Jianbao Zhang, Wenyin Zhang, Zhongjun Ma, Jing Yu

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New Highly Efficient Families of Higher-Order Methods for Simple Roots, Permitting f′(xn)=0 by Ramandeep Behl, V. Kanwar

“…Construction of higher-order optimal and globally convergent methods for computing simple roots of nonlinear equations is an earliest and challenging problem in numerical analysis. …”
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