Detection of calcium deficiency in indoor-grown lettuce under LED lighting using computer vision by Zhian Li, Saeed Karimzadeh, Alise Chavanapanit, Ali Moghimi, Md Shamim Ahamed

“…Our methodology employed a two-stage process that allowed us to leverage the strengths of specialized models. …”
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Olfactory dysfunction and altered cortical excitability in the mouse model of Fragile X Syndrome by Felipe Arancibia, Marcelo Rojas, Diego Becerra, Rocío Fuenzalida, Christian Cea-Del Rio, Jorge Mpodozis, Magdalena Sanhueza, Alexia Nunez-Parra

“…Moreover, Fmr1 KO long-term memory is impaired compared to control mice suggesting possibly cortical processing alterations. …”
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Decision Support System for Diagnosing Underwater Electrical Cables by Tymochko O., Tymoshchuk О., Timochko O., Boiko S., Mazhara I., Hannoshina, I., Shapran Yu.

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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…HIV-1 control efforts with reliance on immunotherapy remain at a conceptual stage due to the complexity of a set of processes that regulate the dynamics of infection and immune response. …”
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Gas Mass Spectrometry of Industrial Yogurts by Vladimir S. Sibirtsev, Alexey G. Kuzmin, Yuri A. Titov, Anna Yu. Zaitseva, Vladislav V. Sherstnev

“…Mass spectrometry is an effective tool of state control in this sphere. The research objective was to study the prospects for gas mass spectrometry with smart mathematical processing in assessing the composition and quality of dairy products. …”
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Identifying Tartrate Salt Crystals in Wine Sediment by Nonna V. Gnilomedova, Nadezhda S. Anikina, Antonina V. Vesyutova, Veronika A. Oleinikova, Vladimir M. Gavrish, Tatyana V. Chayka

“…The research systemized the morphological features of tartrate crystals formed in wines. The obtained results are important for the technochemical control in the process of destabilization diagnosis. …”
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Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia by Heather Dial, Lokesha S. Pugalenthi, G. Nike Gnanateja, Junyi Jessy Li, Maya L. Henry

“…The speech envelope and linguistic features representing core language processes were extracted from the narrative speech and temporal response function (TRF) modeling was used to estimate the neural responses to these features. …”
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Remotely Operated Underwater Vehicle with Robotic Gripper by Huzefa Juzer

“…The most important task which the project will do is that it has an image processing feature that will enable the vehicle to find and detect lost or floating objects and picked it out through robotic arm. …”
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Construction of application platform for operational data of natural gas pipeline network by Hongtao DIAO, Weichao YU, Kaihong WANG, Huai SU, Yi ZHANG, Zhaoming YANG

“…Methods The underlying data structure of this platform was constructed using a relational database, fully leveraging the automated data acquisition process and remote control technology of key equipment. …”
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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model by Mohammed N. Swileh, Shengli Zhang

“…Software-defined networking (SDN) represents a transformative shift in network architecture by decoupling the control plane from the data plane, enabling centralized and flexible management of network resources. …”
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Internet of Things-Driven Precision in Fish Farming: A Deep Dive into Automated Temperature, Oxygen, and pH Regulation by Md. Naymul Islam Nayoun, Syed Akhter Hossain, Karim Mohammed Rezaul, Kazy Noor e Alam Siddiquee, Md. Shabiul Islam, Tajnuva Jannat

“…The core of this innovation lies in its intelligent monitoring and control mechanism, which not only supports accelerated fish development but also ensures the robustness of the farming process through automated adjustments whenever the monitored parameters deviate from desired thresholds. …”
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Intervention With WhatsApp Messaging to Compare the Effect of Self-Designed Messages and Standardized Messages in Adherence to Antiretroviral Treatment in Young People Living With... by Jeffrey Freidenson-Bejar, Dianne Espinoza, Rodrigo Calderon-Flores, Fernando Mejia, Elsa González-Lagos

“…MethodsA 2-arm randomized controlled trial with a parallel assignment of 1:1, with no blinding of study intervention, was performed. …”
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Implementation of a Conditional Latent Diffusion-Based Generative Model to Synthetically Create Unlabeled Histopathological Images by Mahfujul Islam Rumman, Naoaki Ono, Kenoki Ohuchida, Ahmad Kamal Nasution, Muhammad Alqaaf, Md. Altaf-Ul-Amin, Shigehiko Kanaya

“…Subsequently, a diffusion process was applied within this latent space, and clustering was performed on the resulting latent features. …”
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Hyperspectral Detection of Metal Element Concentration in Vegetation Canopies: A Case Study of Fe and Mo by Daming Wang, Veronika Kopačková-Strnadová, Bo Zhang, Jing Zhang, Feicui Wang, Junquan Yang

“…Comparing the univariate (URL) and multivariate (MLR) models demonstrated that MLR modeling, incorporating multiple absorption feature parameters, provided more accurate results compared to scenarios with only one absorption feature in the modeling process (MLR: Fe-leaf: R² = 0.941, RMSE = 1.171; Mo-spike: R² = 0.934, RMSE = 0.042). …”
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BASIL DB: bioactive semantic integration and linking database by David Jackson, Paul Groth, Hazar Harmouch

“…The relevant randomized controlled trials (RCTs) were extracted from PubMed. …”
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Enhanced plant health monitoring with dual head CNN for leaf classification and disease identification by Sajeeb Kumar Ray, Md. Anwar Hossain, Naima Islam, Mirza A.F.M. Rashidul Hasan

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Deep learning-based electroencephalic decoding of the phase-lagged transcranial alternating current stimulation by Jeongwook Kwon, Byoung-Kyong Min, Byoung-Kyong Min

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Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

“…Fault scenarios are defined based on potential failures in these elements, guiding the data-driven feature extraction and labeling process. Supervised learning algorithms, including Support Vector Machines (SVMs) and Artificial Neural Networks (ANNs), are implemented and benchmarked against a simple threshold-based detection method. …”
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Selection for high quality pepper seeds by machine vision and classifiers by Ke-ling TU, Lin-juan LI, Li-ming YANG, Jian-hua WANG, Qun SUN

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What can be observed in intervertebral cartilage endplate with aging? An animal model study of excessive axial mechanical loading by Zhouyang Hu, Fan He, Xinhua Li, Bei Jiang, Shuaifeng Yan, Jun Tan, Lijun Li

“…Our modified Ilizarov rat tail compression model, featuring stable and controllable axial loading capabilities, provided an alternative experimental paradigm for further investigation into CEPD.…”
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