Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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Productivity, activity of digestive and antioxidant enzymes of carp (Cyprinus carpio Linnaeus, 1758) as a result of the use of inulin in low-nutrient feeds by O. Deren, O. Dobrianska, M. Koryliak

“…The practical use of the knowledge gained outlines the possibility of optimizing the production of fish when introducing resource-saving technologies in aquaculture.…”
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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

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Research on Interference Resource Optimization Based on Improved Whale Optimization Algorithm by Xuyi Chen, Mingxi Ma, Chengkui Liu, Haifeng Xie, Shaoqi Wang

“…In this problem, this paper establishes an interference resource optimization model with radar detection probability, interference effectiveness, and interference bandwidth utilization as the objective functions. …”
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A multi-parameters assessment method and prediction model for ground vibration under the high-speed railway bridge by Wenya Yuan, Baoxin Jia, Zhiyang Zhou, Jing Zhang, Puzhen An

“…Besides, an application example of environment vibration prediction was given, and the site selection distance threshold away from the high-speed railways of different types of environmental vibration function areas were determined. …”
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A review on WSN based resource constrained smart IoT systems by Shreeram Hudda, K. Haribabu

“…DL), D2D communication, Computer Vision, and Network Function Virtualization (i.e. NFV). Additionally, it emphasizes assessing and offloading specific IoT application functions onto the network’s edge to enhance performance. …”
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Antioxidant and Antiradical Properties of Selected Flavonoids and Phenolic Compounds by Zübeyir Huyut, Şükrü Beydemir, İlhami Gülçin

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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…This study aims to develop a rice disease detection model that is highly accurate, resource efficient, and suitable for mobile deployment to address the limitations of existing technologies. …”
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Biomimetic Microfluidic Pumps for Selective Oil–Water Separation by Zhaolong Wang, Yinfeng Li, Mingzhu Xie, Ziheng Zhan, Wenhao Li, Qihui Xie, Yong Shuai, Zhichao Dong, Zuankai Wang

“…The findings underscore the potential of 3D bionic functional spring microchannels for selectively separating a wide range of oil‐water mixtures with exceptional efficiency.…”
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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

“…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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Multi-tool copy number detection highlights common body size-associated variants in miniature pig breeds from different geographical regions by Jan Berghöfer, Nadia Khaveh, Stefan Mundlos, Julia Metzger

“…In total, 34 homozygous CNVs overlapped with exonic regions in all samples, suggesting a role in expressing specific phenotypes such as uniform growth patterns, fertility, or metabolic function. In addition, 386 copy number variation regions (CNVRs) shared by all breeds were detected, covering 33.6 Mb (1.48% of the autosomal genome). …”
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Selective transfer learning with adversarial training for stock movement prediction by Yang Li, Hong-Ning Dai, Zibin Zheng

“…The data selector task is introduced to select the most relevant and high-quality training samples from stocks in source domain. …”
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A lightweight framework to secure IoT devices with limited resources in cloud environments by Vivek Kumar Pandey, Dinesh Sahu, Shiv Prakash, Rajkumar Singh Rathore, Pratibha Dixit, Iryna Hunko

“…This paper proposes a lightweight decision tree-based intrusion detection framework suitable for real-time anomaly detection in a resource-constrained IoT environment. …”
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SPECIFICS OF PROJECT MANAGEMENT IN SELECTED ORGANIZATIONS PROVIDING SOCIAL SERVICES by Denisa Dufková, Radka Prokešová, Jitka Vacková, Lesia Shuranova

“…Project management is a key element that contributes to social service organizations' effective functioning and development. According to the literature, social projects can be funded from various sources, including government grants, private donations, and organizations' revenues. …”
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Evaluation of the diet of a selected group of children with coeliac disease by Joanna Rachtan-Janicka

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Phenolics and Flavonoid Content in Selected Seeds from the Serbian Market by Margarita Dodevska, Nevena Ivanovic, Jelena Kukic-Markovic, Verica Jovanovic

“…Conclusion: Our results confirmed the fact that certain defatted seeds, which are usually considered as waste products in oil production, could be considered as valuable sources of certain secondary plant metabolites, implicating further investigations on their composition and potential in the development of functional foods.…”
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Modeling and Recognizing Policy Conflicts with Resource Access Requests on Protected Health Information by Raik Kuhlisch

“…A conformance verification function detects erroneous, clashing or mutually susceptible rules early during the policy planning phase. …”
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Donor – recipient selection using epitope mismatches in kidney transplantation by A. V. Vatazin, A. B. Vatazin, V. A. Stepanov

“…If a recipient with a functioning graft died, the observation was censored. …”
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Comparing the costs and detectability of bobcat using scat‐detecting dog and remote camera surveys in central Wisconsin by John D. J. Clare, Eric M. Anderson, David M. MACfarland, Brian L. Sloss

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Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus by Lulu Li, Xiaofan Guo, Shouming Wang

“…Inonotus obliquus is a rare and edible medicinal fungus. Selecting an appropriate reference gene is crucial for researching its gene function. …”
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