Exploring lower secondary school teachers' perceptions of integrating simulations into chemistry instruction by Jane Batamuliza, Gonzague Habinshuti, Jean Baptiste Nkurunziza

Get full text

Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magn... by Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

Get full text

Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…To address these complexities, our research proposes a fully end-to-end deep learning–driven perception pipeline specifically optimized for UAV-based traffic monitoring. …”
Get full text

QUALITY OF PRE-SERVICE TEACHERS’ TRAINING FOR RESEARCH WORK IN THE FIELD OF UNIVERSITY LECTURERS EVALUATION by T. A. Strokova, L. M. Volosnikova

“…Obligatory presence of research competence among graduates of pedagogical specialties of higher education institutions is declared in federal state educational standards of the higher school.The aim of the article is to direct attention of high school educators to the topical problem of pre-service teachers’ creativity development and the need to strengthen their methodological training.Methodology and research methods. Based on understanding of education quality as the ensemble of its essential characteristics (properties according to A. …”
Get full text

Associations between all-cause and ischemic heart disease mortality and long-term ambient ultrafine particles exposure: a comparison of statistical and machine learning exposure mo... by Julien Vachon, Audrey Smargiassi, Keith Van Ryswyk, Éric Lavigne, Elhadji Anassour Laouan Sidi, Claudia Blais, Stéphane Buteau

“…Annual mean UFPs exposure at participants postal code were estimated from different statistical and machine learning methods previously developed based on a one-year mobile monitoring campaign. …”
Get full text

Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm's ability to escape local optima. …”
Get full text

Mamba-DQN: Adaptively Tunes Visual SLAM Parameters Based on Historical Observation DQN by Xubo Ma, Chuhua Huang, Xin Huang, Wangping Wu

“…To achieve parameter adaptation in visual SLAM, we propose the Mamba-DQN method, which transforms complex parameter adjustment tasks into policy learning assignments for the agent. …”
Get full text

A Novel Active RFID and TinyML based system for livestock Localization in Pakistan by Syed Atir Raza Shirazi, Maham Fatima, Abdul Wahab, Sadaf Ali

“…This abstract describes a unique method for livestock localization in Pakistan that makes use of Active RFID technology and Tiny Machine Learning (TinyML) approaches. …”
Get full text

Improving teaching quality: Development of the PjBL microteaching model for prospective biology teachers by Ali Sadikin, Muhammad Rusdi, Muhammad Haris Effendi Hasibuan, Jodion Siburian

“…Based on a survey of 177 prospective teacher students, it was found that they preferred microteaching to be integrated with the project-based learning model. …”
Get full text

Research on blindsight technology for object recognition and attitude determination based on tactile pressure analysis by Chen Li, Li HuiJun, Song Aiguo

“…Practical experiments demonstrate that the proposed method for rapid analysis and extended posture determination of the grasping surface based on CNNs can achieve millimeter-level precision in grasping position determination and a two-dimensional posture angle of less than 1 degree for the grasped object, generally meeting the requirements of power system business scenarios. …”
Get full text

Academic Boredom in Medical Students: The Role of Perceived Classroom Goal Structures and Task Value by Majid Sadoughi, Najmeh Eskandari

Get full text

Student’s t Kernel-Based Maximum Correntropy Criterion Extended Kalman Filter for GPS Navigation by Dah-Jing Jwo, Yi Chang, Yun-Han Hsu, Amita Biswal

“…A detailed explanation of several key concepts along with practical examples are discussed to aid in understanding and applying the Global Positioning System (GPS) navigation filter. By integrating cutting-edge reinforcement learning with robust statistical approaches, this work advances adaptive signal processing and estimation, offering a significant contribution to the field.…”
Get full text

High-precision deformation monitoring and intelligent early warning for wellbore based on BDS/GNSS. by Jiang Li, Lei Dai, Keke Xu, Xinyu Mei, Yifu Liu, Jianlin Shi, Hebing Zhang

“…A quantitative analysis was conducted on the performance of various combinations of BDS/GNSS in wellbore deformation monitoring, and the effects of different baseline lengths on the monitoring results were evaluated. Based on the high-precision deformation monitoring sequences, an intelligent early warning model for wellbore deformation was established using the deep learning Bi-LSTM algorithm. …”
Get full text

A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…With the rapid development of deep learning, lung nodule segmentation models based on the encoder-decoder structure have become the mainstream research approach. …”
Get full text

Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records by Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao

Get full text

Single view generalizable 3D reconstruction based on 3D Gaussian splatting by Kun Fang, Qinghui Zhang, Chenxia Wan, Pengtao Lv, Cheng Yuan

“…In this paper, we introduce SVG3D, a method for generalizable 3D reconstruction from a single view, based on 3DGS. …”
Get full text

Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospecti... by Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu

“…Therefore, in this study, we aimed to develop and evaluate a predictive model for bilateral posterior condylar displacement. Methods In this retrospective observational study, 166 cone-beam computed tomography images were examined and categorized into two groups based on condyle positions as observed in the sagittal images of the joint space: those with bilateral posterior condylar displacement and those without. …”
Get full text

A multi-centred pilot randomised controlled trial of learning through play plus culturally adapted cognitive behaviour therapy for treating postnatal depression in Nigerian women by Dung Ezekiel Jidong, Dung Ezekiel Jidong, Tarela Juliet Ike, Maigari Yusuf Taru, Juliet Yop Pwajok, Charles Nnaemeka Nwoga, John Ezekiel Jidong, Christopher Francis, Shadrack Bitrus Mwankon, Karick Haruna, Zubairu Dagona, Nusrat Husain, Nusrat Husain

“…In Nigeria, there is limited access to evidence-based culturally appropriate care for mothers affected by postnatal depression.MethodsThis study was a multi-centre, two-arm, parallel-group, single-blind, individually randomised controlled trial design adopted to test the feasibility, cultural appropriateness and acceptability of Learning Through Play plus Culturally adapted Cognitive Behaviour Therapy (LTP+CaCBT). …”
Get full text

A novel machine learning-assisted clinical diagnosis support model for early identification of pancreatic injuries in patients with blunt abdominal trauma: a cross-national study by Sai Huang, Xuan Zhang, Bo Yang, Yue Teng, Li Mao, Lili Wang, Jing Wang, Xuan Zhou, Li Chen, Yuan Yao, Cong Feng

“…Conclusion. A novel machine learning-based model was developed to support clinical diagnosis to detect pancreatic injuries in patients with blunt abdominal trauma at an early stage.…”
Get full text

The effect of blended education on mental health, academic motivation and academic involvement in students of Payam Noor University by Hossien Najafi, Eisa Jafari, Ali Moghadamzadeh, Ali Salmani

“…From the statistical population of 721 students of Payam Noor Khalkhal University in the academic year of 2023-2024, using the purposeful sampling method, based on the Kerlinger formula, 60 people were randomly divided into two groups of 30 people, an experimental group and an alternative control group were replaced. …”
Get full text