A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…By implementing the XGBoost algorithm, we established predictive models for defect rate quantification (regression) and defect grade classification. …”
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Remote sensing-based assessment of four decades of land use/land cover change in the Sigi River Watershed, East Usambara Mountains, Tanzania by Simon Chidodo, Simon Chidodo, Lulu Zhang, Azin Zarei, Karl-Heinz Feger

“…This study analyzed LULC dynamics from 1983 to 2022 in the Sigi River watershed (887 km2) in the East Usambara Mountains, a biodiversity hotspot and critical water source in northeastern Tanzania.Methods:Multi-temporal Landsat satellite images were classified using the Random Forest algorithm to assess LULC transitions across elevation and slope gradients.Results:The results revealed marked variations in LULC change across topographic zones. …”
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Aperiodic activity as a biomarker of seizures and neuromodulation by David Satzer, Lesley C. Kaye, Steven G. Ojemann, Daniel R. Kramer, John A. Thompson

“…Power spectra were parameterized into periodic and aperiodic components using an established algorithm. Results: The aperiodic exponent was larger during seizures and pre-stimulation intervals than stimulation-free interictal recordings, and decreased following stimulation. …”
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Long-Range Wide Area Network Intrusion Detection at the Edge by Gonçalo Esteves, Filipe Fidalgo, Nuno Cruz, José Simão

“…This paper proposes the implementation of machine learning algorithms, specifically the K-Nearest Neighbours (KNN) algorithm, within an Intrusion Detection System (IDS) for LoRaWAN networks. …”
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The Water Table Model (WTM) (v2.0.1): coupled groundwater and dynamic lake modelling by K. L. Callaghan, K. L. Callaghan, K. L. Callaghan, A. D. Wickert, A. D. Wickert, A. D. Wickert, R. Barnes, J. Austermann

“…The dynamic lake component makes use of the Fill–Spill–Merge (FSM) algorithm to move surface water into lakes, where it may evaporate or affect groundwater flow. …”
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Australia's dengue risk driven by human adaptation to climate change. by Nigel W Beebe, Robert D Cooper, Pipi Mottram, Anthony W Sweeney

“…To mitigate the stress this may place on domestic water supply, governments have encouraged the installation of large domestic water tanks in towns and cities throughout this region. …”
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Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil. by Flávia Paiva Proença Lobo Lopes, Felipe Campos Kitamura, Gustavo Faibischew Prado, Paulo Eduardo de Aguiar Kuriki, Marcio Ricardo Taveira Garcia, COVID-AI-Brasil

“…We will use the AUC and F1-score of these algorithms as the main metrics, and we hope to identify algorithms capable of generalizing their results for each specified primary and secondary outcome.…”
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View-invariant object representation in anterior and posterior inferotemporal cortex: A machine learning approach by Jun-ya Okamura, Daisuke Fukano, Keisuke Murakami, Gang Wang

“…In the present study population activities were compared between cell populations in area TE and those in area TEO using machine learning algorithm. An object set consisted of four similar objects created by deforming a prototype object, and four views each separated by 30°. …”
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A quantitative evaluation method of laser treatment efficacy for pigmentary dermatosis based on image segmentation technology by Haopu Jian, Qi Chen, Youjun Yu, Cheng Wang, Peiru Wang, Xiuli Wang

“…The results indicate that the clearance rates obtained through this quantitative algorithm are comparable and exhibit smaller standard deviations compared with scale scores (4.59% versus 7.93% in the low-energy group, 4.01% versus 9.05% in the medium-energy group, and 4.29% versus 10.23% in the high-energy group). …”
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Bone Mineral Density and Fracture Risk Assessment in Patients of Systemic Sclerosis by Piyush Jain, Satyajt Parihari, Anil Taneja

“…The bone mass was negatively correlated with involvement of internal organs and serum iPTH levels. SSc may be considered as an independent risk factor for osteoporosis and patients of SSc should be evaluated for BMD with DEXA scan to prevent osteoporotic fractures.…”
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On the Choice of System Strength Metrics for the Allocation and Sizing of Synchronous Condensers in Power Grids by Shereefdeen Oladapo Sanni, Olatunji Obalowu Mohammed, Suprava Chakraborty, Ayodele Isqeel Abdullateef, Abdulrahaman Okino Otuoze, Olumoroti Ikotun, Ephraim Bonah Agyekum

“…Traditional SC allocation methods use the short-circuit ratio (SCR) as a key metric, but this may not account for control interactions in grids with significant IBG penetration. …”
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Association Between Depression and Lung Cancer Risk Among Postmenopausal Women by Yuanyuan La, Su Yon Jung, Xiaoyun Liang, Michelle J. Naughton, Michael Hendryx, Juhua Luo

“…This highlights that managing depression may play a key role in reducing lung cancer risk and decreasing tobacco use. …”
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Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

“…The parallels between neural and social networks could deepen our understanding of human behavior, while studying cosmic and social systems may reveal shared dynamics in large-scale, interconnected structures. …”
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Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data by Benjamin Bar-Gera, Pia Anderwald, Alina L. Evans, Thomas Rempfler, Claudio Signer

“…Previous ungulate behavioral classification studies have mostly trained their models using data from captive animals, which may not be representative of the behaviors displayed by wild individuals. …”
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Signatures of Six Autophagy‐Related Genes as Diagnostic Markers of Thyroid‐Associated Ophthalmopathy and Their Correlation With Immune Infiltration by Qintao Ma, Yuanping Hai, Jie Shen

“…Six DSGs were identified by three algorithms. They were validated in another independent validation dataset. …”
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Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning by ShengHui Miao, YiJing Liu, Min Li, Jing Yan

“…Abstract Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailored treatment and prognosis. …”
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“Clinical Stability” and Propensity Score Matching in Cardiac Surgery: is the clinical evaluation of treatment efficacy algorithmdependent in small sample size settings? by Daniele Bottigliengo, Aslıhan Sentürk Acar, Veronica Sciannameo, Giulia Lorenzoni, Jonida Bejko, Tomaso Bottio, Emanuele Cozzi, Marta Vadori, Jean-Paul Soulillou, Thierry Le Torneau, Thomas Senage, Rafael Mañez, Cristina Costa, Vered Padler-Karavani, Sofia Scali, Massimiliano Carrozzini, Emilia Fiorello, Samuel Fusca, Gino Gerosa, Ileana Baldi, Paola Berchialla, Dario Gregori

“…However, when the number of enrolled patients is very low, the creation of matched set of subjects may highly depend on the model used to estimate individual propensity scores, undermining the stability of consequential clinical findings. …”
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Alterations of the microenvironment of hepatocellular carcinoma in different unfolded protein response activity states by Yao Wang, Xiao Fei Zhu, Wan Jian Gu, Gui Hong Zhang

“…Down-regulated genes CLEC3B, RAMP3, GPR182 and DNASE1L3 may play an important regulatory role in the modification of microenvironment of HCC with high UPR activity.…”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…Nevertheless, the training parameters communicated between local mobile devices and edge servers may contain raw data that malicious adversaries could exploit. …”
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Novel method for robust bilateral filtering point cloud denoising by Huan Yang, Wei Wang, Yue Wang, Peng Wang

“…However, normals are not inherent attributes of point clouds but are estimated using algorithms such as principal component analysis (PCA). …”
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