Detecting SARS-CoV-2 in CT Scans Using Vision Transformer and Graph Neural Network by Kamorudeen Amuda, Almustapha Wakili, Tomilade Amoo, Lukman Agbetu, Qianlong Wang, Jinjuan Feng

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CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data by Jakub Malinowski, Marcin Kostrzewa, Michał Balcerek, Weronika Tomczuk, Janusz Szwabiński

“…The method offers a high level of interpretability due to its analytical and feature-based components. A potential use of features from topological data analysis is also discussed.…”
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Aerolysin Nanopores for Single-Molecule Analysis by Yun Zhang, Chan Cao

“…Among all biological nanopores, aerolysin is considered one of the most promising nanopores for analytical applications. It is a heptameric β-barrel pore-forming toxin (β-PFT) secreted by Aeromonas, featuring a narrow, elongated β-barrel lumen composed of highly charged amino acids. …”
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Dynamic Tracking and Real-Time Fall Detection Based on Intelligent Image Analysis with Convolutional Neural Network by Ching-Bang Yao, Cheng-Tai Lu

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Road User Vulnerability in Traffic Accidents, Featuring Full Day Data Collection – Comprehensive MACRO Analysis Study for the City of Karachi, Pakistan by Syed Faraz Jafri, Khawaja Sheeraz, Kamran Khan, Zubair Iqbal Rao, Asif Abbasi

“…Each time of the day has its own characteristics featuring with the driver performance, site detection, visual acquaintance and information provided for decision sight distance. …”
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Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach by Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko

“…The Subject of this research is the development of an intelligent, integrated system for the early detection and causal analysis of fire hazards in large-scale solar power plants (SPPs). …”
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Multiplex IgE peanut panels: a critical appraisal of assay designs and the good, the bad, and the ugly features of the applied allergen components by D. de Boer, C. J. J. Bijnens, M. C. Slot, C. M. G. Nieuwhof, J. A. P. Bons

“…However, the different assays in terms of designs and performance are also claimed to be heterogeneous as no agreed standards and requirements are available.ObjectiveWe aimed to compare the analytical assay designs of the ISAC, ALEX, and EUROLINE peanut (Ara h) panels and the features of the applied isoallergens and variants to create more awareness of the heterogeneity of multiplex allergy assays.MethodsWe conducted a multi-source survey in publicly available data sources and among manufacturers and performed correlation studies using patients’ serum samples.ResultsThe survey proved that the panels are indeed very heterogeneous in many ways, especially regarding the allergen component origin and isoallergen composition. …”
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Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: A systematic literature review by Amelie Echle, Narmin Ghaffari Laleh, Peter L. Schrammen, Nicholas P. West, Christian Trautwein, Titus J. Brinker, Stephen B. Gruber, Roman D. Buelow, Peter Boor, Heike I. Grabsch, Philip Quirke, Jakob N. Kather

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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization by R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz

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Nanotechnological Advancements and Contribution to Healthcare and Medication Industries by Naresh Hazari, Manoj Kumar Aedula, Shashank Kyadagiri, Anshul Reddy Nenturi, Balaji Yadav Golla

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A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…To confirm the improved analytical outcomes of the OCDWO-DLCLC approach, extensive simulations are executed on benchmark dataset. …”
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Motif clustering and digital biomarker extraction for free-living physical activity analysis by Ya-Ting Liang, Charlotte Wang

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Critical Evaluation of Techniques to Detect and Measure Cell Death – Study in a Model of UV Radiation of the Leukaemic Cell Line HL60 by Marina Leite, Margarida Quinta‐Costa, Pedro Simas Leite, José Eduardo Guimarães

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CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models by Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad

“…Key features derived from cryptojacking-inspired methodologies include entropy-based analysis of traffic, time-series monitoring of device performance, and dynamic anomaly detection. …”
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Transformer-Based Multi-Target Object Detection and Tracking Framework for Robust Spatio-Temporal Memory in Dynamic Environments by Tareq Mahmod AlZubi, Umar Raza Mukhtar

“…A memory encoding-decoding aggregates object features and associates them across frames, allowing robust detection and identity preservation over time. …”
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Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

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Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings by Veronica M. Zarr, Jyun-You Liou, Edward M. Merricks, Tyler S. Davis, Kyle Thomson, Bradley Greger, Paul A. House, Ronald G. Emerson, Robert R. Goodman, Guy M. McKhann, II, Sameer A. Sheth, Catherine A. Schevon, John D. Rolston, Elliot H. Smith

“…We describe steps for traveling wave detection, feature characterization, and propagation pattern analysis. …”
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A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception by Yue Jiang, Lin Fan, Xilong Sun, Zehe Luo, Herong Wang, Rucong Lai, Jie Wang, Qiyang Gan, Ning Li, Jindong Tian

“…The system comprises a capacitive sensor owning the high sensitivity of 1.11E‐2 pF mm−1, a triboelectricity nanogenerator with the fast response speed of 30 ms, and a pressure sensor array capable of 3D force detection. By Combining transfer learning models, which fuses multimodal tactile information to achieve high‐precision (up to 95%) recognition of the multi‐featured targets such as random hardness and texture information under random sampling conditions, including random grasp force and velocity. …”
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Analysis of Biological Samples in a Contemporary Laboratory Practice (Review) by I. I. Miroshnichenko, Y. E. Shilov

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