Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

“…The following keywords in Russian and English were used for selection: "modern methods of prenatal diagnostics", "fetal monitoring", "assessment of fetus functional state", "passive sensors", "artificial intelligence", "machine learning". …”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

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Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles by Cancan Li, Lindong Ma, Zhenjie Xue, Xiao Li, Shan Zhu, Tie Wang

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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

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Observation of Brain Functional Connectivity and Activation Characteristics in Children with Attention Deficit and Hyperactivity Disorder Based on Functional Near-Infrared Spectros... by WANG Jing, LIU Yun, HUANG Haoyu, WU Jinting, ZOU Zhuo, CHEN Yingjuan, WEI Xianzhao, SU Hang

“…ObjectiveTo explore the characteristics of functional connectivity in the prefrontal cortex of children with attention deficit hyperactivity disorder (ADHD) at rest and the level of brain functional activation during the Go/No-go task using functional near and infrared spectroscopy (fNIRS).MethodsTwenty-one children with ADHD who visited Kunming Children's Hospital from January 2022 to August 2023 were selected as the study subjects, namely the ADHD group. …”
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Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method by Zhenyue Qiu, Lei Zhang, Yuan Chi, Zequn Li

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A Panoramic Review on Cutting-Edge Methods for Video Anomaly Localization by Rashmiranjan Nayak, Sambit Kumar Mishra, Asish Kumar Dalai, Umesh Chandra Pati, Santos Kumar Das

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Mobile malware detection method using improved GhostNetV2 with image enhancement technique by Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning

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Effect of Acupuncture Treatment on Cortical Activation in Patients With Tinnitus: A Functional Near-Infrared Spectroscopy Study by Xianghua Yu, Bin Gong, Hao Yang, Zheng Wang, Gaowei Qi, Jie Sun, Yu Fang, Xiaoli Fan

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Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

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An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning by Yan Xia, Yan Xia, Yuli Lv, Feihong Yu, Yiqiang Yang, Yili Yang, Wei Li, Ke Li

“…To address the drawbacks of active methods and passive methods, an intelligent islanding detection strategy based on parameter-optimized variational mode decomposition (VMD) and deep learning was developed. …”
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Flame Combustion State Detection Method of Cement Rotary Furnace Based on Improved RE-DDPM and DAF-FasterNet by Yizhuo Zhang, Zixuan Gu, Huiling Yu, Shen Shi

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A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption by Linh Nguyen, Quoc Bao Phan, Lan Zhang, Tuy Tan Nguyen

“…However, HE has high computational costs, especially for deep learning models, which require many nonlinear operations, such as activation functions. Traditional HE methods have difficulty handling these nonlinear operations, affecting performance and accuracy. …”
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The digital horizon in colorectal cancer surgery: A narrative review by Atanu Pal

“…A search was performed to include a breadth of digital technologies, including virtual reality (VR), augmented reality (AR), artificial intelligence (AI), mobile health, and simulation. Many digital roles were identified in the 60 studies included. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

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A Systematic Review of the Advances and New Insights into Copy Number Variations in Plant Genomes by Saimire Silaiyiman, Jiaxuan Liu, Jiaxin Wu, Lejun Ouyang, Zheng Cao, Chao Shen

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Comparison of Different Machine Learning Methodologies for Predicting the Non‐Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials by Roberto Gomeni, Françoise Bressolle‐Gomeni

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

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Evaluating the Synergy of Conflict Detection and Resolution Services for Constrained Urban Airspace by Calin Andrei Badea, Andrija Vidosavljevic, Joost Ellerbroek, Jacco Hoekstra

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