Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning by Muhammad Nawaz Khan, Sokjoon Lee, Mohsin Shah

“…To address these challenges and to establish a connected network, there is always a need for a system to evaluate the contents of detected data values and dynamically switch sensor states based on their function. …”
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TTPRNet: A Real-Time and Precise Tea Tree Pest Recognition Model in Complex Tea Garden Environments by Yane Li, Ting Chen, Fang Xia, Hailin Feng, Yaoping Ruan, Xiang Weng, Xiaoxing Weng

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Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT by Mohamed Riad Sebti, Zohra Dakhia, Sonia Carabetta, Rosa Di Sanzo, Mariateresa Russo, Massimo Merenda

“…A function derived from chemical analysis was developed to estimate OTA concentrations and used to label a synthetic dataset, establishing safe thresholds. …”
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Insights into the Driving Factors of Methane Emission from Double-Season Rice Field Under Different Fertilization Practices in South China by Jin Zheng, Yusheng Lu, Peizhi Xu, Kaizhi Xie, Changmin Zhou, Yaying Li, Haoyang Geng, Qianyuan Wang, Wenjie Gu

“…Paddy fields are the main agricultural source of greenhouse gas methane (CH₄) emissions. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…However, the current gear operation is still faced with problems such as poor monitoring, a single detection index, and low data utilization, which lead to incomplete evaluation results. …”
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Persistence of Reptile DNA in a Terrestrial Substrate: A Case Study Using the Eastern Indigo Snake by Leah R. N. Samuels, Houston C. Chandler, Michelle Hoffman, John A. Kronenberger, Michele Elmore, Robert Aldredge, Benjamin S. Stegenga, James E. Bogan Jr., Mark A. Davis, Stephanie Hertz, Michael K. Schwartz, Taylor Wilcox

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Cooperative Spectrum Sensing for Cognitive Heterogeneous Networking Using Iterative Gauss-Seidel Process by Haleh Hosseini, Kaamran Raahemifar, Sharifah Kamilah Syed Yusof, Alagan Anpalagan

“…Heterogeneous networks with dense deployment of small cells can employ cognitive features to efficiently utilize the available spectrum resources. Spectrum sensing is the key enabler for cognitive radio to detect the unoccupied channels for data transmission. …”
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AN INFLUENCE OF SPONTANEOUS MICROFLORA OF FERMENTED HORSEMEAT PRODUCTS ON THE FORMATION OF BIOLOGICALLY ACTIVE PEPTIDES by I. M. Chernukha, I. N. Nikonov, N. G. Mashentseva, D. L. Klabukova, D. A. Afanasev, L. I. Kovalyov, L. А. Ilina

“…Therefore, in the studied product, good preservation of the main spectra of muscle proteins was observed, and the identified fractions, apparently, can be sources of new functional peptides. Not only quantitative but also qualitative changes were observed in the studied samples. …”
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Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A by Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, Chandira Gunasena, Ruwan Jayasinghe

“…In addition, the proposed solution includes a question-answering platform in the native Sinhala language, alongside the English language, designed to function as a chatbot for dental-related queries. We hope that this platform will eventually bridge the gap between dental services and patients, created due to a lack of human resources. …”
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Multifaceted roles of Galectins: from carbohydrate binding to targeted cancer therapy by Nan Zhang, Qiao Liu, Daihan Wang, Xiaoyun Wang, Zhaoping Pan, Bo Han, Gu He

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Thrombus rooting in the pulmonary arteriovenous fistula in a patient with cryptogenic stroke, a case report by Ming Song, Honggang Dai, Weida Lu, Xiao Meng

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Ecological connectivity of genomic markers of antimicrobial resistance in Escherichia coli in Hong Kong by Xiaoqing Xu, Yunqi Lin, Yu Deng, Lei Liu, Dou Wang, Qinling Tang, Chunxiao Wang, Xi Chen, You Che, Ethan R. Wyrsch, Veronica M. Jarocki, Steven P. Djordjevic, Tong Zhang

“…Additionally, 195 plasmids were shared across all three source-attributed sectors. Conjugation assays confirmed that several plasmids were functionally transmissible across ecological boundaries. …”
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Identification of miRnas with possible prognostic roles for HAM/TSP by Daniela Raguer Valadão de Souza, Rodrigo Pessôa, Youko Nukui, Juliana Pereira, Rosa Nascimento Marcusso, Augusto César Penalva de Oliveira, Jorge Casseb, Alberto José da Silva Duarte, Patricia Bianca Clissa, Sabri Saeed Sanabani

“…The seven most deregulated miRs target genes have been associated with a variety of biological processes and molecular functions. The reactome pathways relevant to our findings provide a rich source of data and offer the opportunity to better understand sRNA regulation and function in HTLV-1 pathophysiology. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

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Logistical constraints lead to an intermediate optimum in outbreak response vaccination. by Yun Tao, Katriona Shea, Matthew Ferrari

“…The latter may also result in significantly larger outbreaks, thus suggesting a benefit of allocating resources to timely outbreak detection and response.…”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…However, VASO comes along with another reduction in detection sensitivity. NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. …”
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INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

“…In addition, it is established that to obtain reliable results, researchers need to have accessible and transparent source data. It is also concluded that the goals and objectives of the research on the rural areas’ development should be specified or measured.Conclusion. …”
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