Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The EMG signals’ data of 30 regional subjects, with 5 trials each, have been acquired and pre-processed using filters and three data oversampling techniques, SMOTE, SMOTE-ENN, and ADSYN. …”
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THANTD: Triplet Hybrid Attention Network for Hyperspectral Target Detection by Ju Liu, Haoqian Wang, Xiangai Cheng, Zhongyang Xing, Zhongjie Xu

“…Hyperspectral images (HSIs), characterized by their rich spatial–spectral information, have been widely utilized in hyperspectral target detection (HTD), a key area within hyperspectral remote sensing information processing. …”
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Multimodal depression detection based on an attention graph convolution and transformer by Xiaowen Jia, Jingxia Chen, Kexin Liu, Qian Wang, Jialing He

“…Traditional depression detection methods typically rely on single-modal data, but these approaches are limited by individual differences, noise interference, and emotional fluctuations. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…The SARE method addresses the limitations of traditional fixed-fragment approaches by detecting variable-length regulatory elements. The Hi-C dataset utilized in this research was derived from mouse embryonic stem cells (ESCs) and processed using advanced filtering techniques to retain valid interactions. …”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…By automating decision-making processes based on predefined thresholds, AI enhances the accuracy and reliability of healthcare data analysis, reducing the need for human intervention. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…It enhances multi-scale feature fusion capability via weighted feature fusion, significantly reducing parameter count while improving small target detection capability. Additionally, it designs a detection decoupling head with a multi-head attention mechanism to improve the issue of network complexity caused by convolutional layer redundancy, processes spatial dimensions to focus on capturing target features, reduces interference from irrelevant backgrounds, and enhances the accuracy of occluded target recognition.urthermore, it constructs a lightweight neural network with dual convolution (CDC), enhancing inter-channel information flow, improving model feature expression capability, and reducing model complexity. …”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). …”
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Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery by Giacomo Lazzeri, Robert Milewski, Saskia Foerster, Sandro Moretti, Sabine Chabrillat

“…Both datasets were pre-processed with multiple data transformation algorithms and 2D correlograms, PLSR and the Random Forest regressor were tested to identify the best model for salinity detection. …”
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Real-time SERS analysis of programmed cell death patterns based on black Phosphorus–gold nanoparticles by Jieyi Chen, Binggang Ye, Ranran Fan, Jiaqi Liu, Yaru Han, Haolin Chen, Wen Zhang, Zhouyi Guo, Zhiming Liu, Huiqing Zhong

“…Programmed cell death (PCD) plays a crucial role in the biological processes of living organisms and occurs in various forms, such as apoptosis, necroptosis and ferroptosis. …”
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Assessing the quality of medical care and developing the ratings of health services: experience of using Medicare program in the USA by N. S. Grigorieva

“…To provide patient's security is the main goal in some spheres of health care, that is why methods of statistical monitoring were developed to detect abnormalities in the course of medical work quickly and confidentially. …”
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ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

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The Effect of Different Estrus Synchronization Methods on Reproductive Performance in Laparoscopic Artificial Insemination Program in Morkaraman Sheep by Müzeyyen Kutluca Korkmaz, Mustafa Yaprak

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An Application Programming Interface (API) Sensitive Data Identification Method Based on the Federated Large Language Model by Jianping Wu, Lifeng Chen, Siyuan Fang, Chunming Wu

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Efficacy of an oral narrative language intervention program on children with hearing impairment: a randomized controlled trial by Sara Ibrahim, Ossama Sobhy, Riham El-Maghraby, Nesrine Hamouda

“…The aim of the current study was to develop the Oral Narrative Language Intervention Program (ONLIP) and detect its efficacy on improving narrative and linguistic skills of HI children in comparison to conventional language and auditory training. …”
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The Participation of HPV-Vaccinated Women in a National Cervical Screening Program: Population-Based Cohort Study. by Eva Herweijer, Adina L Feldman, Alexander Ploner, Lisen Arnheim-Dahlström, Ingrid Uhnoo, Eva Netterlid, Joakim Dillner, Pär Sparén, Karin Sundström

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Comparison of vaginal versus intramuscular progesterone in programmed cycles for frozen-thawed blastocyst transfer in patients with endometriosis by Ziqi Jin, Guoxia Yang, Tianrui Wen, Benyu Miao, Chen Wang, Qingyan Zhang, Fang Gu, Yanwen Xu

“…Abstract Background Previous studies have shown that due to the presence of endometrium progesterone resistance in patients with endometriosis, it is considered that higher levels of progesterone may be required to achieve live birth during programmed frozen-thawed embryo transfer (FET) cycles. …”
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Assessment of genetic diversity, inbreeding, and collection completeness of Jersey bulls in the US National Animal Germplasm Program by K. Srikanth, M.A. Jaafar, M. Neupane, H. Ben Zaabza, S.D. McKay, C.W. Wolfe, J.S. Metzger, H.J. Huson, C.P. Van Tassell, H.D. Blackburn

“…The availability of genomic information in the US National Animal Germplasm Program (NAGP) facilitates characterization of Jersey bulls in the germplasm collection. …”
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Improved cell search algorithm for 5G NR by Baojiang DONG, Chen PENG, He LU

“…The era of 5G NR has higher requirements for speed, capacity and user experience.In 5G NR physical layer, cell search is an indispensable process.Cell search mainly includes primary synchronization signal (PSS) detection algorithm and secondary synchronization signal (SSS) detection algorithm.The traditional PSS detection algorithm and SSS detection algorithm can’t satisfy the basic requirements of 5G NR.In order to solve this problem, an improved PSS detection algorithm based on the traditional M-segment cross-correlation detection algorithm was proposed.When the channel environment is bad, the traditional SSS detection algorithm will also fail.The improved SSS detection algorithm proposed can solve this problem.Finally, the traditional algorithm and the improved algorithm were compared and analyzed.The simulation results show that the detection performance of the proposed algorithm is significantly improved, and the detection efficiency and overall performance are also improved.…”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…This algorithm exhibits significant potential in the field of ceramic product defect detection, providing solid technical support for optimizing the ceramic product manufacturing process.…”
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