R-SABMNet: A YOLOv8-Based Model for Oriented SAR Ship Detection with Spatial Adaptive Aggregation by Xiaoting Li, Wei Duan, Xikai Fu, Xiaolei Lv

“…Subsequently, we propose the Balanced Shifted Multi-Scale Fusion (BSMF) module, which effectively enhances local detail information and improves adaptability to multi-scale targets. …”
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An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface by Pham Viet Tuan, Dinh Long Hoang, Tu Ha Nguyen, Trong Duc Hoang

“…The successive convex approximation and alternating optimization methods are exploited to construct efficient algorithms for finding the suboptimal precoding beamforming vectors at the BS and the phase shifts at the IRS elements. …”
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Multi-scale crack closure measurements with digital image correlation on Haynes 230 by Stefano Beretta, Silvio Rabbolini, Angelo Di Bello

“…Initially, full field regression algorithms were applied to extract the effective stress intensity factor ranges from the singular displacement field measured at crack tips. …”
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Preperimetric glaucoma by N. A. Bakunina, E. V. Openkova, I. V. Shaposhnikova, L. M. Gabdrakhmanov, A. V. Kuroyedov, А. V. Seleznev, H. Y. Zargaryan

“…Recently, much literature data is available on the issue of diagnosis of preperimetric glaucoma (PPG), but no recognized algorithms of detecting primary open-angle glaucoma (POAG) at this stage have been developed, and there is no general opinion as to what parameters and techniques should be used. …”
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Reconstruction techniques for accelerating dynamic cardiovascular magnetic resonance imaging by Andrew Phair, René M. Botnar, Claudia Prieto

“…In this review, we describe the evolution of these reconstruction techniques, with a particular focus on those advances that have shifted the dynamic reconstruction paradigm as it relates to CMR. …”
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Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation by Feras A. Batarseh, Chih-Hao Huang

“…External (geographical) or internal factors (medical and managerial) at hospitals, lead to shifts in planning, budgeting, and confidence in conventional processes. …”
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AI-Driven Wearable Bioelectronics in Digital Healthcare by Guangqi Huang, Xiaofeng Chen, Caizhi Liao

“…However, their widespread adoption faces technical, ethical, and regulatory hurdles, such as data interoperability, privacy concerns, algorithmic bias, and the need for robust clinical validation. …”
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AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…Each AI generation is driven by shifting priorities among algorithms, computing power, and data. …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. …”
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Higher-Order Accurate and Conservative Hybrid Numerical Scheme for Relativistic Time-Fractional Vlasov-Maxwell System by Tamour Zubair, Muhammad Usman, Ilyas Khan, Nawaf N. Hamadneh, Tiao Lu, Mulugeta Andualem

“…Still, on the other hand, a significant fact or drawback of most algorithms is that they do not preserve conservation philosophies. …”
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A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extra... by M. Mahad Malik, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar A. Khan, M. Waleed Ansari, Kamran Mujahid, Jiechao Gao

“…This infrastructure uses GNN, Smart Hybrid Model, MOPnP, MOPPnP, and knapsack algorithms to maximize personal comfort, lower costs, profit the community through transaction agents, reduce unwanted peaks by shifting loads, and use an intelligent and robust structure for agent communication. …”
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UnidecNMR: automatic peak detection for NMR spectra in 1-4 dimensions by Charles Buchanan, Gogulan Karunanithy, Olga Tkachenko, Michael Barber, Michael T. Marty, Timothy J. Nott, Christina Redfield, Andrew J. Baldwin

“…While many algorithms are available to tackle this problem, their performance tends to be inferior to that of an experienced user. …”
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Optical Sensor-Based Approaches in Obesity Detection: A Literature Review of Gait Analysis, Pose Estimation, and Human Voxel Modeling by Sabrine Dhaouadi, Mohamed Moncef Ben Khelifa, Ala Balti, Pascale Duché

“…Despite their potential, challenges persist in sensor robustness under uncontrolled environments, algorithmic biases in diverse populations, and scalability for widespread deployment in existing health workflows. …”
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Weirdnodes: centrality based anomaly detection on temporal networks for the anti-financial crime domain by Salvatore Vilella, Arthur Capozzi, Marco Fornasiero, Dario Moncalvo, Valeria Ricci, Silvia Ronchiadin, Giancarlo Ruffo

“…This enables the detection of abrupt role shifts, signaling anomalies that warrant further investigation by domain experts. …”
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THE CLASS OF PERFECT TERNARY ARRAYS by A. V. Sokolov, O. N. Zhdanov

“…In recent decades, perfect algebraic constructions are successfully being use to signal systems synthesis, to construct block and stream cryptographic algorithms, to create pseudo-random sequence generators as well as in many other fields of science and technology. …”
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CLASSES OF ARRAYS WITH INDEX NON-OVERLAPPING COMPONENTS AND METHODS OF THEIR FORMING by I. P. Kadiev, P. A. Kadiev

“…The developed method of formation of arrays based on cyclic shifts of the rows and columns of the original array for the proposed algorithms. …”
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From Torrent to Stream by Martin Scherzinger

“…Music production in the 21st century shifted from a largely commodified industrial model to a radically decentralized one, technologically facilitated by new efficiencies in search of functionality, delivery, and peer-to-peer connectivity. …”
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Uncertainty quantification with graph neural networks for efficient molecular design by Lung-Yi Chen, Yi-Pei Li

“…Abstract Optimizing molecular design across expansive chemical spaces presents unique challenges, especially in maintaining predictive accuracy under domain shifts. This study integrates uncertainty quantification (UQ), directed message passing neural networks (D-MPNNs), and genetic algorithms (GAs) to address these challenges. …”
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Collateral Damage. Online Reception of Tolstoy and Dostoevsky after the Invasion of Ukraine by Iris Uccello, Gabriele Vezzani

“…The Russian invasion of Ukraine on February 24, 2022, triggered widespread cultural and geopolitical shifts, prompting a reevaluation of Russia’s historical and imperialistic narratives. …”
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Coordinating environmental genomics and geochemistry reveals metabolic transitions in a hot spring ecosystem. by Wesley D Swingley, D'Arcy R Meyer-Dombard, Everett L Shock, Eric B Alsop, Heinz D Falenski, Jeff R Havig, Jason Raymond

“…We show that changes in environmental conditions and energy availability are associated with dramatic shifts in microbial communities and metabolic function. …”
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