WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

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Dynamic Real-Time Anchor Selection for Accurate UWB Indoor Positioning-Based Deep Neural Networks by Ammar Fahem Majeed, Rashidah Arsat, Muhammad Ariff Baharudin, Nurul Mu'Azzah Abdul Latiff, Abbas Albaidhani

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Active learning for efficient data selection in radio‐signal‐based positioning via deep learning by Vincent Corlay, Milan Courcoux‐Caro

“…Abstract The problem of user equipment positioning based on radio signals is considered via deep learning. …”
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Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models by Artem Obukhov, Denis Dedov, Andrey Volkov, Maksim Rybachok

“…Prediction of the person’s position (based on 10 previous frames) is performed using the DT model, which is optimal in terms of accuracy and computation time relative to other options. …”
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Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter? by Joanna Duda-Goławska, Aleksander Rogowski, Zuzanna Laudańska, Jarosław Żygierewicz, Przemysław Tomalski

“…The manual classification of human body position based on video recordings is labour-intensive, leading to the adoption of Inertial Motion Unit (IMU) sensors. …”
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Lightweight Deep Learning for sEMG-Based Fingers Position Classification and Embedded System Deployment by Victor H. Benitez, Jesus Pacheco, Guillermo Cuamea-Cruz

“…This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its implementation in embedded systems. …”
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Avnet: learning attitude and velocity for vehicular dead reckoning using smartphone by adapting an invariant EKF by Long Qian, Xinchuang Lin, Xiaoguang Niu, Qihai Huang, Leilei Li, Guangyi Guo, Zexin Wang, Ruizhi Chen

“…The learned measurements are integrated into an invariant Kalman filter to estimate Three-Dimensional (3D) attitude, velocity and position. …”
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Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive by Darwin P. Quezada Gaibor, Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Mikko Valkama, Joaquin Huerta, Joaquin Torres-Sospedra

“…Indoor positioning based on machine-learning (ML) models has attracted widespread interest in the last few years, given its high performance and usability. …”
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Lightweight Indoor Positioning System Based on Multiple Self-Learning Features and Key Frame Classification by C. Wang, K. Bi, B. Zhao, M. Li, Y. Chen, S. Tao, J. Yang

“…With advancements in image recognition and deep learning technologies, indoor visual positioning based on image recognition has become increasingly mature. …”
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Mastering Students Learning Characteristics: A Case Study on the Pedagogical Competence of Arabic Teachers in Secondary School by Anwar Sanusi, Warissuddin Soleh, Muhammad Sobri, Ady Muh. Zainul Mustofa, Helmun Jamil

“…In the physical aspect, teachers actively arrange seating positions based on student's individual needs to create an inclusive learning environment. …”
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Traj-Q-GPSR: A Trajectory-Informed and Q-Learning Enhanced GPSR Protocol for Mission-Oriented FANETs by Mingwei Wu, Bo Jiang, Siji Chen, Hong Xu, Tao Pang, Mingke Gao, Fei Xia

“…Conventional topology-based or position-based protocols often fail due to stale link information and limited neighbor awareness. …”
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Lessons Learned From Covid-19 Pandemia: Pregnancy Anxiety Level Increases During A Life Threatening Period by Erdoğan Aslan, Merve Çakır Köle, Hakan Demir, Gökşen Görgülü, Emre Köle, Lale Aksoy

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Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmatio... by Muqing Yan, Qiandong Zeng, Zhenxi Zhang, Patricia Okamoto, Stanley Letovsky, Angela Kenyon, Natalia Leach, Jennifer Reiner

“…Results WES variant calls from Genome in a Bottle (GIAB) cell lines and their associated quality features were used to train five different machine learning models to predict whether a variant was a true positive or false positive based on quality metrics. …”
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Exploring Determinants and Predictive Models of Latent Tuberculosis Infection Outcomes in Rural Areas of the Eastern Cape: A Pilot Comparative Analysis of Logistic Regression and M... by Lindiwe Modest Faye, Cebo Magwaza, Ntandazo Dlatu, Teke Apalata

“…This study aimed to identify the key factors influencing LTBI outcomes through the application of predictive models, including logistic regression and machine learning techniques, while also evaluating strategies to enhance LTBI awareness and testing. …”
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Comparative Analysis of Prediction Models for Trawling Grounds of the Argentine Shortfin Squid <i>Illex argentinus</i> in the Southwest Atlantic High Seas Based on Vessel Position... by Delong Xiang, Yuyan Sun, Hanji Zhu, Jianhua Wang, Sisi Huang, Shengmao Zhang, Famou Zhang, Heng Zhang

“…A CNN-Attention deep learning model was applied to each dataset to develop <i>Illex argentinus</i> trawling ground prediction models. …”
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Detection of Steel Reinforcement in Concrete Using Active Microwave Thermography and Neural Network-Based Analysis by Barbara Szymanik, Maja Kocoń, Sam Ang Keo, Franck Brachelet, Didier Defer

“…This study explores the combined use of active microwave thermography and deep learning to detect and localize steel reinforcement within concrete elements. …”
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DSMF-Net: A One-Stage SAR Ship Detection Network Based on Deformable Strip Convolution and Multiscale Feature Refinement and Fusion by Xingyu Liu, Jun Pan, Rong Hu, Wenli Huang, Jiawei Lin, Jiarui Hu

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Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent by Linshen Li, Fan Wang, Huilin Tang, Yanbing Liang

“…This method employs a position-based impedance control structure that integrates iterative learning control principles with a gradient descent method to dynamically adjust impedance parameters. …”
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A Genetic Algorithm and PCA-Based Feature Selection to Improve the Failure Diagnosis Performance of Railway Vehicle Doors by Gil Hyun Kang, Ho Cheol Ki, Sang Hyun An, Juhee Choi, Chul Su Kim

“…The failure diagnosis of railway vehicle door system is carried out using a test bench and machine learning software for the fast and accurate classification. …”
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Formación inicial de maestros de educación física: conectando un quehacer pedagógico decolonial con la intervención social, política e insurgente del espacio público (Pre-service t... by Alberto Moreno-Doña, Sergio Toro Arévalo, Fernando Gómez-Gonzalvo

“…This logic focuses on “living well”, on exploring life in harmony with natural elements, on the reciprocity with other living beings, and on the transformation of the time-space limits for teachers’ education via collective actions and from an ethical and political position based on self-management. That is why we propose an educational experience that transgresses the dominant educational rules and that travels towards an educational development based on incarnated learning, located and contextualized for the education of future PE teachers. …”
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