Point Cloud-Based Proactive Link Quality Prediction for Millimeter-Wave Communications by Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata

“…Previous studies have proposed machine learning-based methods to predict received signal strength for future time periods using time series of depth images to mitigate the line-of-sight (LOS) path blockage by pedestrians in mmWave communication. …”
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An MRI-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma by Zuochao Qi, Hao Yuan, Qingshan Li, Pengyu Chen, Dongxiao Li, Kunlun Chen, Bo Meng, Peigang Ning, Haibo Yu, Deyu Li

“…Patients were classified into the PNI-positive and PNI-negative groups based on postoperative pathological results. …”
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Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning by Negasa Berhanu Fite, Getachew Mamo Wegari, Heidi Steendam

“…Leveraging machine learning techniques, particularly regression-based artificial neural networks (ANNs), offer a promising alternative. …”
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The Impact of Radiation Dose on CT‐Based Body Composition Analysis: A Large‐Animal Study by Luca Salhöfer, Gregor Jost, Mathias Meetschen, Daniel vanLandeghem, Michael Forsting, Denise Bos, Christian Bojahr, Rene Hosch, Felix Nensa, Hubertus Pietsch, Johannes Haubold

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TFNet: point cloud Semantic Segmentation Network based on Triple feature extraction by Yong Li, Falin Chen, Qi Lin, Zhen Li, Dongxu Gao, Jingchao Yang

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CPredictive performance of CT images-based 3D ResNet18 model for identifying lung tuberculosis drug resistance by LI Chunhua, LIU Xueyan, ZHENG Jiaofeng

“…Objective‍　‍To develop and validate a deep learning model based on chest CT images to accurately distinguish between drug-resistant (DR-TB) and -sensitive tuberculosis (DS-TB). …”
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BiFormer for Scene Graph Generation Based on VisionNet With Taylor Hiking Optimization Algorithm by S. Monesh, N. C. Senthilkumar

“…In this study, a deep learning-based optimization model, VisionNet_Taylor Hiking Optimization Algorithm (VisionNet_THOA), was introduced to generate high-quality scene graphs from noisy samples. …”
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Threshold-Free Symbol Decision Based on Spatial 4PPM Correlation for Uplink Screen Camera Communication Using Low-Luminance SDM Screen by Alisa Kawade, Wataru Chujo, Kentaro Kobayashi

“…To make symbol decisions without threshold learning, symbol decisions based on correlation of spatial 4 pulse position modulation (4PPM) pattern are demonstrated with numerical models and experiments. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…Logistic regression provides the advantage of capturing both positive and negative associations between features and mental health conditions, whereas tree-based models prioritize decision-making power through split-based feature selection. …”
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The effect of high approach-motivated positive affect on selective attention under high perceptual load by Fang Liu, Fang Liu, Qin Zhang

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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…Abstract This study aims to enhance the accuracy of predicting transposon-derived piRNAs through the development of a novel computational method namely TranspoPred. TranspoPred leverages positional, frequency, and moments-based features extracted from RNA sequences. …”
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Psoriatic arthritis in psoriasis: optimizing the current screening system for psoriatic arthritis based on serum data from U.S. and Chinese populations by Zheng Lin, Si-yi Pan, Yue-yi Shi, Xuan Wu, Yuan Dou, Ping Lin, Yi Cao

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Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network by Lu Xu, Yixin Ma, Rui Shi, Juanjuan Li, Yijia Zhang

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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

“…It obtains the facial expression results in real time using an adaptive method for histogram-based mouth segmentation.…”
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Robust Received Signal Strength Indicator (RSSI)-Based Multitarget Localization via Gaussian Process Regression by Niclas Fuhrling, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, David Gonzalez G., Osvaldo Gonsa

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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Thus, the use of modern machine learning methods in economics allows us to obtain accurate forecasts, identify patterns in economic data, and make strategic decisions based on objective analysis.Conclusion. …”
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Evaluating Medical Students' Perspectives on the CBME Curriculum: A Qualitative Exploration of Curriculum Structure, Pedagogical Approaches, and Educational Integration by Amit Kumar Kamboj, Mudit Sharma, Rashmi Ramanathan, Vivin Vincent, Jeevithan Shanmugam

“…Introduction: The introduction of the Competency-Based Medical Education (CBME) curriculum by the National Medical Commission (NMC) in India in 2019 has reshaped medical education by integrating foundational courses, learning strategies, and assessment methods that emphasize competencies essential for modern healthcare. …”
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The Development of Ecological Identities in Children’s Books: A Linguistic Approach to Character Positioning as Eco-Rebels by Corinna Lüdicke

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Enhancing Comprehensive Mastery of Qualitative Research Methodology for Students Through the Deconstruction of the Eid al-Fitr Greeting Model by Bagus Haryono, Sudarmo Sudarmo, Triyanto Triyanto, Brq Dagfa Inka Mahadika

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Patient-reported outcomes and home-based self-swabs for influenza-like illness events - lessons learned from the 2023/2024 DANFLU-2 Homeswab PRO substudy by Filip Soeskov Davidovski, Kristoffer Grundtvig Skaarup, Niklas Dyrby Johansen, Daniel Modin, Nabila Shaikh, Jose Bartelt-Hofer, Matthew M. Loiacono, Rebecca C. Harris, Carsten Schade Larsen, Lykke Larsen, Lothar Wiese, Michael Dalager-Pedersen, Randi Jessen, Nina Steenhard, Brian L. Claggett, Scott D. Solomon, Lars Køber, Pradeesh Sivapalan, Jens Ulrik Staehr Jensen, Cyril Jean-Marie Martel, Tor Biering-Sørensen

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