Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Alan Nafiiev, Andrii Rodionov

“…Furthermore, the system's scalability allows for efficient processing of large data volumes, making it suitable for real-world applications. …”
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The Use of Fractal Features from the Periphery of Cell Nuclei as a Classification Tool by Birgitte Nielsen, Fritz Albregtsen, Håvard E. Danielsen

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Analysis and Modeling of Statistical Distribution Characteristics for Multi-Aspect SAR Images by Rui Zhu, Fei Teng, Wen Hong

“…Through multi-aspect observations, along with coherent and incoherent image processing, multi-aspect SAR effectively addresses issues like layovers, shadows, and foreshortening in conventional SAR. …”
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Normalized impulse response testing in underground constructions monitoring by Aleksei A. Churkin, Vladimir V. Kapustin, Mikhail S. Pleshko

“…Novel approach to data processing based on normalized response attributes analysis is presented. …”
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Combining BioGeoChemical-Argo (BGC-Argo) floats and satellite observations for water column estimations of the particulate backscattering coefficient by J. García-Jiménez, A. B. Ruescas, J. Amorós-López, R. Sauzède

“…Although most organic carbon in the ocean exists in dissolved form, POC, despite its smaller share, plays a vital role by connecting surface biomass production with the deep ocean and sedimentation processes. POC estimation is achieved by measuring proxies like the particulate backscattering coefficient (<span class="inline-formula"><i>b</i>_bp</span>) estimated from satellite observations and in situ sensors, such as the BioGeoChemical-Argo (BGC-Argo) floats. …”
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Bite force production and the origin of Homo by Justin A. Ledogar, Stefano Benazzi, Amanda L. Smith, Paul C. Dechow, Qian Wang, Rebecca W. Cook, Dimitri Neaux, Callum F. Ross, Ian R. Grosse, Barth W. Wright, Gerhard W. Weber, Craig Byron, Stephen Wroe, David S. Strait

“…Here, we provide mechanical evidence that Homo habilis exhibits an australopith-like pattern of facial strain during biting but, unlike most australopiths, was not suited for a diet that required forceful processing by the molar teeth. …”
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Geometry and Topology Correction of 3D Building Models with Fragmented and Disconnected Components by Ahyun Lee

“…In addition, the proposed approach achieves a data size ratio of approximately 20% in the simplified mesh, compared to the 50–60% ratios typically observed with established techniques like Quadric Decimation and Vertex Clustering. …”
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GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

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Selective serotonin reuptake inhibitors and pharmacological resetting of the mind by Ion G. Motofei, David L. Rowland

“…Mental activity is capable of processing analytical data (mathematics, physics, socio-political science, philosophy, etc.) similar to computer software. …”
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Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices by Mudassar Liaq, Waleed Ejaz

“…The Internet of Things (IoT) applications generate large volumes of data, which needs to be processed securely, reliably, and promptly for effective decision-making. …”
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The Role of Hippocampal NMDA Receptors in Long-Term Emotional Responses following Muscarinic Receptor Activation. by Alexandre A Hoeller, Ana Paula R Costa, Maíra A Bicca, Filipe C Matheus, Gilliard Lach, Francesca Spiga, Stafford L Lightman, Roger Walz, Graham L Collingridge, Zuner A Bortolotto, Thereza C M de Lima

“…Extensive evidence indicates the influence of the cholinergic system on emotional processing. Previous findings provided new insights into the underlying mechanisms of long-term anxiety, showing that rats injected with a single systemic dose of pilocarpine--a muscarinic receptor (mAChR) agonist--displayed persistent anxiogenic-like responses when evaluated in different behavioral tests and time-points (24 h up to 3 months later). …”
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The future of healthcare using multimodal AI: Technology that can read, see, hear and sense by Divya Rao

“…This article explores the trajectory of AI in medicine, examining the transition from unimodal deep learning models to multimodal AI systems capable of processing diverse data formats. MM models that integrate text, images, and other sensory data, offer unprecedented capabilities, from providing comprehensive patient histories to aiding in differential diagnosis. …”
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MALDI-TOF mass spectrometric protein profiling of THP-1 cells and their microvesicles by A. V. Korenevsky, Yu. P. Milyutina, M. E. Berezkina, E. P. Alexandrova, O. A. Balabas, K. L. Markova, S. A. Selkov, D. I. Sokolov

“…The data obtained on the partial proteome of THP-1 monocyte-like cells and their microvesicles extend the existing knowledge on distant communications between the cells and suggest new mechanisms of interaction between monocytes/macrophages and their microenvironment.…”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…Wireless Sensor Networks (WSNs) are vital for applications such as environmental monitoring, surveillance, and healthcare, where comprehensive network coverage is essential for accurate data collection. However, achieving full coverage in WSNs presents significant challenges due to resource constraints, such as limited battery life, processing capabilities, and environmental factors like terrain and obstacles. …”
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Sipuncula (Peanut Worms) in Indonesia Waters: A Review by Allsay Kitsash Addifisyukha Cintra, Tyani Fitrian, Hilda Novianty, Jasmadi Jasmadi, Nurul Dhewani Mirah Sjafrie

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Fast jet tagging with MLP-Mixers on FPGAs by Chang Sun, Jennifer Ngadiuba, Maurizio Pierini, Maria Spiropulu

“…We explore the innovative use of MLP-Mixer models for real-time jet tagging and establish their feasibility on resource-constrained hardware like FPGAs. MLP-Mixers excel in processing sequences of jet constituents, achieving state-of-the-art performance on datasets mimicking Large Hadron Collider conditions. …”
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2D and 3D imaging of the deformation behavior of partially devulcanized rubber/polypropylene blends by P. S. Garcia, R. F. Gouveia, J. M. Maia, C. H. Scuracchio, S. A. Cruz

“…Based on the 3D images, it is clear that breakup mechanisms of the dispersed phase, like parallel breakup, have played an important role in the evolution of the blend’s microstructure, mainly in the region of higher shear rate during processing. …”
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Revolutionizing the food industry: The transformative power of artificial intelligence-a review by Vilhouphrenuo Zatsu, Angel Elizabeth Shine, Joel M. Tharakan, Dayanand Peter, Thottiam Vasudevan Ranganathan, Saqer S. Alotaibi, Robert Mugabi, Abdullatif Bin Muhsinah, Muhammad Waseem, Gulzar Ahmad Nayik

“…Artificial Intelligence (AI) is revolutionizing the food industry by optimizing processes, improving food quality and safety, and fostering innovation. …”
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A Study of the Digital Transformation and Efficiency Improvement Path of University Administration by Zhang Yiyan

“…Due to the fast evolution of information technology, including the extensive use of emerging technologies like big data, cloud computing, and artificial intelligence, colleges, and universities must enhance the digital transformation of administrative operations to achieve process optimization, informed decision-making, and enhanced service capabilities. …”
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Tracing the aggregation pathway of the scaffold protein DISC1: Structural implications for chronic mental illnesses by Abhishek Cukkemane, Nina Becker, Tatsiana Kupreichyk, Henrike Heise, Dieter Willbold, Oliver H. Weiergräber

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