Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

“…Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. While transformer-based segmentation methods have been widely applied to image segmentation tasks, they have mostly focused on satellite images. …”
Get full text

Strengthening School Effectiveness Through Collaborative Working : An Evaluation of Training Impact by Yushi Widya Pramita, Tjut Rifameutia

“…This study aims to examine the effectiveness of experiential learning-based collaborative working training in enhancing the collaborative competence of stakeholders in elementary school setting. …”
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

Classification of Lung Nodule Using Hybridized Deep Feature Technique by Malin Bruntha, Immanuel Alex Pandian, Siril Sam Abraham

“…The hybridization has been carried out between handcrafted features and deep features. The machine learning algorithms such as SVM and Logistic Regression have been used to classify the nodules based on the features. …”
Get full text

Fusion Text Representations to Enhance Contextual Meaning in Sentiment Classification by Komang Wahyu Trisna, Jinjie Huang, Hengyu Liang, Eddy Muntina Dharma

“…Automating sentiment classification involves text classification processes, commonly performed using deep learning methods. The classification process using deep learning models is closely tied to text representation. …”
Get full text

Evaluation of Sociopreneur-Based Curriculum Implementation in Santa Maria Vocational School with Iluminative Models by Margareta Dwi Wahyu Utari, Juwintar Febriani Arwan, Said Hamid Hasan, Zainal Arifin

“…The obstacles that occur indicate the internal motivation of students and they still need training related to social entrepreneur integration in subjects and their development in learning activities. Overall, this evaluation explains that the process of implementing a social entrepreneur-based curriculum can run well and receive positive responses from students and teachers.…”
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

MRI-based risk factors for intensive care unit admissions in acute neck infections by Jari-Pekka Vierula, Harri Merisaari, Jaakko Heikkinen, Tatu Happonen, Aapo Sirén, Jarno Velhonoja, Heikki Irjala, Tero Soukka, Kimmo Mattila, Mikko Nyman, Janne Nurminen, Jussi Hirvonen

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

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

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

Impacto de la gamificación en el aprendizaje y satisfacción de estudiantes de odontología de una universidad peruana by Sheila Trigo-Cano, Peggy Griselda Coa-Serrano, Sonia Caroll Macedo-Valdivia, Fernando Amilcar Chávez-Fernandez

“…Conclusions: Gamification, in general, and escape rooms, in particular, have been shown to have a positive impact on the learning and satisfaction of dentistry students, so they should be considered as a complementary tool to traditional teaching methods.…”
Get full text

Improving EEG based brain computer interface emotion detection with EKO ALSTM model by R. Kishore Kanna, Preety Shoran, Meenakshi Yadav, Mohammad Nadeem Ahmed, Shrikant Burje, Garima Shukla, Anurag Sinha, Mohammad Rashid Hussain, Saifullah Khalid

“…The proposed system and existing algorithms are compared using a variety of evaluation criteria, including specificity, F1 score, accuracy, recall or sensitivity, and positive predictive values or precision. The results demonstrated that the proposed method achieved better performance in EEG-based BCI emotion detection with an accuracy of 97.93%, a positive predictive value of 96.24%, a sensitivity of 97.81%, and a specificity of 97.75%. …”
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

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

Get full text

Distilling the curriculum: An analysis of alcohol industry-funded school-based youth education programmes. by May C I van Schalkwyk, Mark Petticrew, Nason Maani, Ben Hawkins, Chris Bonell, Srinivasa Vittal Katikireddi, Cécile Knai

“…This article serves to address this important gap in the literature.<h4>Methods</h4>Using a discourse theoretical approach informed by poststructural discourse theory and critical discourse analysis, we analysed teaching materials from three school-based youth education initiatives which focus on alcohol consumption and health harms: Drinkaware for Education, The Smashed Project (funded by Diageo), and Talk About Alcohol (Alcohol Education Trust). …”
Get full text

Precise motion control for a space mining robot based on improved African vultures optimization by Baiyi Wang, Xinhua Liu, Marek Rydel, Dezheng Hua, Rafal Stanislawski, Hui Wang, Ke Feng, Zhixiong Li

“…The Henon chaotic mapping, nonlinear adaptive incremental inertial weight factor and reverse learning competition strategy are introduced to optimize the initial population position, position update method and optimal solution output, respectively. …”
Get full text