Stability assessment and performance comparison of VSLAM frameworks on open indoor datasets by E. Lebedev, D. Uchaev, D. Uchaev

Get full text

Experimental Application of the Italian Bridge Guidelines to a Stock of Prestressed Concrete Bridges by Andrea Floridia, Davide Messina, Dario Panarelli, Antonino Recupero, Pier Paolo Rossi, Nino Spinella

“…Data of the census and visual inspection activities were gathered using a custom-made web application. …”
Get full text

Exploring the Effects of a Problem-Posing Intervention with Students at Risk for Mathematics and Writing Difficulties by Jing Wang, Pamela Shanahan Bazis, Qingli Lei

“…Post-intervention data suggested that students maintained the improvement over baseline. …”
Get full text

The MinDag app for symptom monitoring and feedback to patients and clinicians during the initial treatment of bipolar disorder – a feasibility study by Margrethe Collier Høegh, Stine Holmstul Glastad, Siv Hege Lyngstad, Magnus Johan Engen, Sofie Ragnhild Aminoff, Ingrid Melle, Thomas Bjella, Trine Vik Lagerberg

“…The patients appreciated the potential for increased awareness of their mental health, but expressed a desire for direct access to their data. Clinicians found the visual reports and feedback useful for tailoring treatment, even though the alert system for high-risk variables needed refinement. …”
Get full text

Effects of Clouds and Shadows on the Use of Independent Component Analysis for Feature Extraction by Marcos A. Bosques-Perez, Naphtali Rishe, Thony Yan, Liangdong Deng, Malek Adjouadi

“…In this study, rather than simply masking visual obstructions, we aimed to investigate the role and influence of clouds within the spectral data itself. …”
Get full text

The role of cognitive computing in NLP by Laura Orynbay, Gulmira Bekmanova, Banu Yergesh, Assel Omarbekova, Ayaulym Sairanbekova, Altynbek Sharipbay

“…Ethical concerns, including biases in AI, data privacy and societal impact, are critical to address for responsible deployment. …”
Get full text

When Remote Sensing Meets Foundation Model: A Survey and Beyond by Chunlei Huo, Keming Chen, Shuaihao Zhang, Zeyu Wang, Heyu Yan, Jing Shen, Yuyang Hong, Geqi Qi, Hongmei Fang, Zihan Wang

“…Most deep-learning-based vision tasks rely heavily on crowd-labeled data, and a deep neural network (DNN) is usually impacted by the laborious and time-consuming labeling paradigm. …”
Get full text

Evaluation of Different Sensor Systems for Classifying the Behavior of Dairy Cows on Pasture by Barbara Pichlbauer, Jose Maria Chapa Gonzalez, Martin Bobal, Christian Guse, Michael Iwersen, Marc Drillich

“…Applying the correction algorithm to 1 min data improved the CCC for the NB from 0.68 to 0.89. …”
Get full text

Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization by Aftab Khan, Sakhi Rehman, Muhammad Waleed, Ashfaq Khan, Umair Khan, Tariq Kamal, Shehryar Khan Afridi, Safdar Nawaz Khan Marwat

“…An automated system is proposed in this paper which aims at finding the desired POI through the available volume of video data quickly and accurately. It is visualized to go through all the available videos and detect the POI using facial recognition. …”
Get full text

A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen, Jialong Li

“…These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. This paper presents a systematic review of the application of multimodal interaction in remote education. …”
Get full text

Automatic Guitar Transcription With Deep Neural Networks by Simone Chieppa, Pierpaolo Brutti, Rui Pedro Paiva

“…This is crucial due to the limited availability of data in this area. Through extensive experimentation and analysis, this study evaluates the performance of the model on unseen data, identifying its strengths and areas for improvement. …”
Get full text

The Role of Quantitative Assessment of Visceral Adipose Tissue of the Heart as a Predictor for Cardiovascular Events by V. Yu. Chernina, S. P. Morozov, L. A. Nizovtsova, I. A. Blokhin, D. I. Sitdikov, V. A. Gombolevskiy

“…Objective of this article – to evaluate possibilities to visualize cardiac visceral adipose tissue by echocardiography, computed tomography (CT), and magnetic resonanse imaging (MRI) and to systematize data on its physiological and pathological roles. …”
Get full text

Etanercept in axial spondyloarthritis – treatment efficacy by I. Z. Gaydukova, O. V. Inamova, R. R. Samigullina, A. L. Chudinov, A. S. Bychkova

“…Anti-TNFα inhibitors were the first biologics prescribed in axSpA. 20 year after the biological treatment was first prescribed we have enough data to understand their long-term efficacy.The aim of this study is to evaluate the long-term efficacy of etanercept in patients with axial spondyloarthritis based on data published in periodicals and clinical practice.Patients and methods. …”
Get full text

BenchAMRking: a Galaxy-based platform for illustrating the major issues associated with current antimicrobial resistance (AMR) gene prediction workflows by Nikolaos Strepis, Dennis Dollee, Donny Vrins, Kevin Vanneste, Bert Bogaerts, Catherine Carrillo, Amrita Bharat, Kristy Horan, Norelle L. Sherry, Torsten Seemann, Benjamin P. Howden, Saskia Hiltemann, Leonid Chindelevitch, Andrew P. Stubbs, John P. Hays

“…Conclusions BenchAMRking is a Galaxy-based comparison platform where users can access, visualise, and explore some of the major discrepancies associated with AMR gene prediction from microbial WGS data.…”
Get full text

Multi-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images by Yanxing Liu, Zongxu Pan, Jianwei Yang, Peiling Zhou, Bingchen Zhang

“…Few-shot object detection has attracted extensive attention due to the abomination of time-consuming or even impractical large-scale data labeling. Current studies attempted to employ prototype-matching approaches for object detection, constructing class prototypes from textual or visual features. …”
Get full text

Interpretations of Pre-service Elementary Mathematics Teachers on the Functions of Non-Textual Elements: Case Study on Algebra Learning Area by Murat Genç, Mustafa Akıncı

“…Data analysis was conducted using a content analysis approach to generate themes and uncover previously unspecified patterns. …”
Get full text

Diagnostic Analysis of Crosswalk Safety Hazards in Pedestrian Environments: A SHAP-Enhanced Machine Learning Approach With Street-View Imagery by Caryl Anne M. Barquilla, Jeongwoo Lee

“…These results highlight the importance of combining visual and structural data for thorough risk assessment and further the use of interpretable machine learning in urban safety research. …”
Get full text

Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

Get full text

GIS-based Spatial Analysis of the Evolution of Residential Developments; A Case-study of Sulaimani city, Iraq by Shaimaa Sarwar Mohammed, Hoshyar Qadir Rasul, Hussein Darweesh  Mohammed

“…This research is aimed at visualizing the historical evolution of residential landuse development of Sulaimani city based on GIS spatial analysis with the input of all of the relevant available data in various formats in order to determine the form of the city according to morphological classifications discussed in the literature of urban planning. …”
Get full text

Identifikasi Kualitas Beras dengan Citra Digital by Arissa Aprilia Nurcahyani, Ristu Saptono

“…Sebelumnya, dilakukan training terhadap 30 data untuk mendapatkan decision tree dengan model ID3 (Iterative Dichotomiser Tree). …”
Get full text