Detection of Foreign Bodies in Transmission Line Channels Based on Fusion of Swin Transformer and YOLOv5 by XUE Ang, JIANG Enyu, ZHANG Wentao, LIN Shunfu, MI Yang

“…Finally, considering the mismatch between the real frame and the predicted frame, the structural similarity intersection over union (SIoU) is introduced to optimize the boundary errors and improve the generalization ability of the model. …”
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Kinetic Modelling of Methanol to Propylene Process on Cerium-hierarchical SAPO-34 Catalyst by masoumeh ghalbi-ahangary, Ali Taheri Najafabadi, Parviz Rashidi-Ranjbar, Zahra Taheri

“…The parameters were then estimated based on the experimental data using genetic algorithms. Comparing the experiments with the predicted data suggests a good correlation between the experimental data and the model.…”
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Lay beliefs about AI assessment of interpersonal skills in personnel selection by Ilyung Cheong, Young Eun Huh, Stefano Puntoni

“…Field studies of nurses provide preliminary evidence that AI can outperform humans in predicting interpersonal skills. However, a series of surveys and experiments document widespread lay beliefs in the opposite direction: individuals perceive AI as being less capable than humans in assessing interpersonal skills. …”
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Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of LLMS with interpretable ML models (i.e. tree-based algorithms) using feature importance and natural language. …”
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Ecological niche models as a tool for estimating the distribution of plant communities by Mayra Flores-Tolentino, Enrique Ortiz, José Luis Villaseñor

“…The model best supported by the observed data and balanced in the percentage of omission and commission errors was our model, and the model most like ours in terms of the predicted area, was the one proposed by INEGI (2003). …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Diabetes Mellitus Detection System In Human Body Through Urine Media Using Naïve Bayes Method by Yuda Kasmien Adha, Tati Erlina

“…The system is made using the NaÏve Bayes algorithm to be able to classify urine that has been tested Benedict including into non-diabetes or diabetes, the system is also made using multiple linear regression algorithms to be able to predict the sugar content contained in urine. …”
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Influence of the media used in the operation of aircraft on the durability of airport cement surfaces by Piotr Nita, Małgorzata Linek

“…In terms of mass, dynamic and temperature interactions, these are measurable phenomena that can be determined and predicted using appropriate methods and algorithms. …”
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Stellar ejection velocities from the binary supernova scenario: A comparison across population synthesis codes by Tom Wagg, David D. Hendriks, Mathieu Renzo, Katelyn Breivik

“…We present a comparison of the predicted ejection velocities of disrupted binary companions in three different population synthesis codes: COSMIC, COMPAS, and binary_c, which use two independent algorithms for the treatment of natal kicks. …”
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DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States by Parnian Ghaneei, Hamid Moradkhani

“…The dataset can be used as a new benchmark for future studies aimed at improving hydrological predictions and managing water resources more effectively.…”
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Reinforcement Learning Applications in Cyber Security: A Review by Murat Gök, Emine Cengiz

“…Traditional computer algorithms may be insufficient against these attacks in the virtual world. …”
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Global decline in net primary production underestimated by climate models by Thomas J. Ryan-Keogh, Alessandro Tagliabue, Sandy J. Thomalla

“…Here we use contemporary remote sensing net primary production trends (1998–2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. …”
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Bistability and oscillations in the Huang-Ferrell model of MAPK signaling. by Liang Qiao, Robert B Nachbar, Ioannis G Kevrekidis, Stanislav Y Shvartsman

“…As a result, these models try to predict the dynamics of systems with tens or even hundreds of free parameters. …”
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Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

“…Novel candidate driver genes predicted by Lemon-Tree were validated using tumor pathway and survival analyses. …”
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Behavioral discrimination and time-series phenotyping of birdsong performance. by Avishek Paul, Helen McLendon, Veronica Rally, Jon T Sakata, Sarah C Woolley

“…Moreover, the algorithm accurately predicted female performance on individual motif exemplars. …”
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Organization of physical interactomes as uncovered by network schemas. by Eric Banks, Elena Nabieva, Bernard Chazelle, Mona Singh

“…Network schemas specify descriptions of proteins and the topology of interactions among them. We develop algorithms for systematically uncovering recurring, over-represented schemas in physical interaction networks. …”
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Propensity to childhood anxiety and depression due to exposure to adversity: A multidimensional construct. by Angélica C G Santos, Ariane Silva, Matheus Libório, Cristiane Neri Nobre, Hasheem Mannan, Marcos Flávio S V D'Angelo

“…The literature does not present a consensus on the composition of indicators that make predictions, prognostic algorithms, or management strategies in mental health promotion and prevention. …”
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Idiopathic Intrahepatic Cholestasis as an Unusual Presentation of Hodgkin’s Disease by Hande Atalay, Banu Boyuk, Muhammet Ates, Aslan Celebi, Ismail Ekizoglu, Arzu A. Didik, Aysenur A. Igdem

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Association between the development of sepsis and the triglyceride-glucose index in acute pancreatitis patients: a retrospective investigation utilizing the MIMIC-IV database by Lin Xu, Xuejing Li, Na Zhang, Chunmei Guo, Pan Wang, Min Gao, Yanhui Zhang, Lixin Zhao

“…Triglyceride-glucose (TyG) index demonstrated predictive ability for a number of diseases. In an effort to enhance clinical care and early warning systems, this study examined the association between the TyG index and sepsis risk with the aim of improving clinical care and early warning systems. …”
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Validation of ICD‐10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population by Jason Pik‐Eu Chang, Hong‐Yi Lin, Pooi‐Ling Loi, Jeanette Pei‐Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang‐Keat Tan, Chanda Kendra Ho, Wei‐Quan Teo, Amber Hwa Hwa Chung, Prema Raj

“…We evaluated the consensus code set's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in identifying cirrhosis cases. …”
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