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. …”
Get full text

Weibo public opinion analysis of emergencies using lexicon-based and deep learning approaches: a case study of the 12.18 Jishishan Seismic Event by Yaohui Liu, Xinyu Zhang, Xinkai Wang, Jian Cui, Fei Su

Get full text

Shoreline dynamics prediction using machine learning models: from process learning to probabilistic forecasting by Afshar Adeli, Afshar Adeli, Ali Dastgheib, Ali Dastgheib, Dano Roelvink, Dano Roelvink, Dano Roelvink

“…This approach can learn shoreline evolution, predict it, and serve as a foundational component of a proposed method for probabilistic shoreline position prediction. …”
Get full text

Robust Tracking Control of Underactuated UAVs Based on Zero-Sum Differential Games by Yaning Guo, Qi Sun, Quan Pan

“…Finally, numerical results validate that the method outperforms state-of-the-art model-based and model-free approaches in tracking accuracy and disturbance rejection, demonstrating its practical utility for engineering applications.…”
Get full text

Perceptions of supervision and feedback in PaedCompenda, the competency-based, post-graduate curriculum in pediatrics (www.paedcompenda.de) by Somm, Irene, Hajart, Marco, Fehr, Folkert, Weiß-Becker, Christoph

“…This paper investigates the different perceptions of the physicians undergoing specialist training () and elucidates these differences.Method: The following data were collected as part of the research on the three-year-long implementation (2019-2023):1) Four focus group discussions (N=28) with physician trainees who had no experience in primary care pediatrics or with the post-graduate curriculum;2) Problem-oriented interviews, one at the beginning and again at the end, with physician trainees (N=28) undergoing specialist training at 19 participating medical practices belonging to two post-graduate education networks;3) Videos of patient consultations with the physician trainees (N=23);4) Videos of feedback conferences regarding the videotaped patient consultations (N=7).This data was evaluated using reconstructive grounded theory.Results: A distinctly more positive perception of the benefits of supervision and feedback as a teaching and learning method was seen in the physicians who received specialist training at the practices following the PaedCompenda curriculum. …”
Get full text

The effect of high approach-motivated positive affect on selective attention under high perceptual load by Fang Liu, Fang Liu, Qin Zhang

Get full text

Determination of Pear Cultivars (Pyrus communis L.) Based on Colour Change Levels by Using Data Mining by Dilara Gerdan, Abdullah Beyaz, Mustafa Vatandaş

Get full text

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. …”
Get full text

Whole-body 2D human pose estimation based on human keypoints distribution constraint and adaptive Gaussian factor by Fan Wei, Guanghua Xu, Qingqiang Wu, Penglin Qin, Leijun Pan, Yihua Zhao, Kai Zhang

“…Owing to the physical structure limitations of the human body, hands and face and the scale differences of different body parts, the results of whole-body 2D human pose estimation methods are often affected. To solve this problem, we propose a new method based on the human key point distribution to learn the relationships between keypoints of different body parts, and generate heatmaps using adaptive gaussian factor to handle scale and density variations. …”
Get full text

Healthcare staff acceptance and satisfaction with automated medication dispensing cabinets: a neural network-based analysis by Abbas Al Mutair, Kawther Taleb, Kawthar Alsaleh, Chandni Saha, Batool Mohammed Alhassan, Mohamed Alsalim, Horia Alduriahem, Adel Alfehaid, Muhammad Daniyal

Get full text

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

Get full text

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.…”
Get full text

6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

Get full text

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. …”
Get full text

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

Get full text

TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

Get full text

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

Get full text

The Development of Ecological Identities in Children’s Books: A Linguistic Approach to Character Positioning as Eco-Rebels by Corinna Lüdicke

Get full text

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). …”
Get full text

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. …”
Get full text