Protecting IOT Networks Through AI-Based Solutions and Fractional Tchebichef Moments by Islam S. Fathi, Hanin Ardah, Gaber Hassan, Mohammed Aly

“…The effectiveness of our proposed technique for detecting IoT threats was evaluated using the UNSW-NB15 and Bot-IoT datasets, featuring illustrative cases of common IoT attack scenarios, such as DDoS, identity spoofing, network reconnaissance, and unauthorized data access. …”
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An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm by Peipei Yang, Zhidong Chen, Wen Tang, Zongyang Liu, Bingrui He

“…The methodology involves the following steps: (1) Collecting historical ultra-short-term power generation data from photovoltaic systems, where outlier detection and data cleaning are performed using horizontal processing methods; (2) Applying Pearson correlation analysis to identify key meteorological factors significantly influencing power output as feature inputs; (3) Developing an Adaptive Sparrow Search Algorithm (ASSA) by dynamically adjusting the quantities of discoverers and followers in traditional SSA; (4) Optimizing LSTM network parameters through ASSA to enhance prediction accuracy. …”
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ADULT-ONSET STILL’S DISEASE: ASPECTS OF THE HEMATOLOGY CLINIC by M. M. Agakishiev, I. I. Mulina, A. M. Popova, I. N. Nechunaeva, L. M. Maslova, I. B. Kovynev, T. I. Pospelova

“…The article outlines the differential diagnosis algorithm, presents the criteria for diagnosis and approaches to therapy. A feature of the clinical case was the detection of antibodies against yersenia. …”
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Super-Resolution Reconstruction of Motor Long-Wave Infrared Images Based on Improved USR-Net by Darong Zhu, Ziyan Sun, Fangbin Wang

“…Temperature analysis of long-wave infrared images serves as an effective approach for motor fault detection. …”
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Ancient Character Recognition: A Comprehensive Review by R. Krithiga, S. R. Varsini, R. Gabriel Joshua, C. U. Om Kumar

“…Strong denoising and feature extraction methods are required to separate the letters accurately to tackle this issue. …”
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NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

“…The model performs progressive, stagewise noise suppression at multiple feature depths, dynamically adjusting normalization based on localized noise estimates. …”
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Enhancing Upper Limb Stroke Rehabilitation with Electromyography-Monitored Virtual Reality–Based Games by Zunaidi Ibrahim, Basri Noor Cahyadi, Azlan Aziz, Ahmad Shamil

“…We used peak-to-peak electromyography signal detection with a 20% threshold and three distinct feature extractions to represent muscle contractions during gameplay. …”
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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…We design an iterative algorithm to update the parameters alternately and test it over benchmark data sets of abnormal behavior detection in video, Amazon product reviews sentiment analysis, etc.…”
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Purification and expression of a novel bacteriocin, JUQZ-1, against Pseudomonas syringae pv. Actinidiae (PSA), secreted by Brevibacillus laterosporus Wq-1, isolated from the rhizos... by Yang Shuai, Yi Langbo, Yang Yi, Chen Danni, Peng Qingzhong

“…Due to the drug resistance feature of PSA, biological control is currently the most promising method. …”
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Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…These results are obtained using standard data analysis tools, despite the relatively slow $$^{6}$$ LiF-ZnS:Ag scintillator, which may not be optimal for absorption resonance detection. …”
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Comparative morphological characteristics of helicobacter pylori and autoimmune gastritis by N. V. Pachuashvili, D. P. Nagornaya, A. S. Tertychnyy

“…The main differential diagnostic feature in our study was the detection of H. pylori, as well as the localization of the lesion in the stomach body characteristic of autoimmune gastritis and in the antrum in helicobacter gastritis. …”
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Activity dependent degeneration explains hub vulnerability in Alzheimer's disease. by Willem de Haan, Katherine Mott, Elisabeth C W van Straaten, Philip Scheltens, Cornelis J Stam

“…The insight that neuronal activity might play a causal role in Alzheimer's disease can have implications for early detection and interventional strategies.…”
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Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures by Weijie Zhang, Veronika Belcheva, Tatiana Ermakova

“…Interpretability analysis shows that CNNs focus on fine-grained lesion details, while ViTs exhibit broader but less localized attention. …”
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Intraspecific Variation in Dorsal Colour Patterns of Amphibolurus muricatus Lizards From the Perspective of Relevant Observers by Jonathan W. Salisbury, Richard A. Peters

“…ABSTRACT The visual environment animals occupy is often comprised of spatially distinct microhabitats featuring different and varying backgrounds, lighting conditions, temperatures, feeding opportunities and threats. …”
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Method of troubleshooting in the neural network environment of intellectual decision supporting systems by О.І. Тимочко, С.В. Осієвський, О.О. Тімочко, П.В. Бєляєв

“…The issues of error detection in artificial neural networks are considered. …”
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LoRa‑based Self‑organized Network Health Monitoring System by SHI Haoning, YANG Kun, SANG Shengbo, YANG Jia, LI Shengjia

“…In this article, an ad hoc network human vital sign detection system based on LoRa communication technology is designed and implemented. …”
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Smart system for real time monitoring and diagnosis of dengue surfaces in Bangladesh by Md. Shahriar Hossain Apu, Samsuddin Ahmed, Md. Toukir Ahmed

“…This research presents a methodology to automatically detect mosquito breeding areas in aerial drone images. …”
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Synchronized Survey Scan Approach Allows for Efficient Discrimination of Isomeric and Isobaric Compounds during LC-MS/MS Analyses by Keabetswe Masike, Ntakadzeni Madala

“…One such method is known as synchronized survey scan (SSS), which is capable of acquiring a product ion scan (PIS) during MRM analysis. The current study shows, for the first time, the use of SSS-based PIS approach as a feasible identification feature of MRM. …”
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Hydrodynamic characterization of the redox chemistry of crown-encapsulated uranyl complexes by Alexander C. Ervin, James D. Blakemore

“…Because measurements of the type reported here are generally associated with current flows that are larger than those found in corresponding quiescent (unstirred) conditions, our findings suggest that hydrodynamic methods could be advantageous for design of electroanalytical approaches to detection of actinide species and study of their redox properties.…”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Beyond soybean, AI/ML methods have enhanced QTL detection in wheat, lettuce, rice, and cotton, supporting trait dissection across diverse crop species. …”
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