saLFIA: Semi-automatic Live Feeds Image Annotation Tool for Vehicle Classification Dataset by Umi Chasanah, Gilang Putra, Sahid Bismantoko, Sofwan Hidayat, Tri Widodo, Mohammad Rosyidi

“…The primary contribution of saLFIA is a labeling tool designed to generate new datasets from public source images, focusing on vehicle classification using YOLOv3 and SSD algorithms. The evaluation results indicated that SSD achieved higher accuracy with fewer initial images, while YOLOv3 reached maximum accuracy with larger initial datasets, resulting in 8 misdetections out of 380 objects. …”
Get full text

Decoding circRNA translation: challenges and advances in computational method development by Jingjing Zhang, Jingjing Zhang, Rui Zhou, Rui Zhou, Huiling Zhang, Yin Peng, Jintao Meng, Wenhui Xi, Yanjie Wei

“…Subsequently, we provide a systematic introduction to existing circRNA translation analysis tools and their underlying algorithms, with emphasis on benchmarking the performance of sequence-based methods using a unified dataset. …”
Get full text

A Review of Robot Fleet Management by Paulo H. C. Morais, Kelen C. T. Vivaldini, Edilson R. R. Kato, Roberto S. Inoue

“…Challenges, such as dynamic interaction management and scalability, were examined, emphasizing the practical validation of algorithms and the integration of heterogeneous fleets. …”
Get full text

Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…It can be used to investigate upper-limb movements in physiological conditions, and to test sensor fusion approaches and control algorithms for prosthetics and robotic applications.…”
Get full text

HuBot: A biomimicking mobile robot for non-disruptive bird behavior study by Lyes Saad Saoud, Loïc Lesobre, Enrico Sorato, Saud Al Qaydi, Yves Hingrat, Lakmal Seneviratne, Irfan Hussain

“…By employing advanced real-time deep-learning algorithms, including YOLOv9 for detection, MobileSAM for segmentation, and vision transformer (ViT) for depth estimation, HuBot semi-autonomously tracks individual birds, providing unprecedented insights into their individual behavior, social interactions, and habitat use. …”
Get full text

Machine learning-based prediction of torsional behavior for ultra-high-performance concrete beams with variable cross-sectional shapes by Elhabyb Khaoula, Baina Amine, Bellafkih Mostafa, A. Deifalla, Amr El-Said, Mohamed Salama, Ahmed Awad

“…The best R-squared was 99 % provided by the Gradient Boosting Regressor, while the LSTM and Random Forest showed 98 % and 96 % accuracy. …”
Get full text

Personalization of AI-Based Digital Twins to Optimize Adaptation in Industrial Design and Manufacturing—Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Jan Cybulski, Mirosław Kozielski

“…The key findings highlight the growing emphasis on scalable model architectures, multimodal data integration, and the use of high-performance computing platforms. While existing research has focused on model decomposition, structural optimization, and algorithmic integration, there remains a need for fast DT platforms that support diverse user requirements. …”
Get full text

Multilabel Classification Using Low-Rank Decomposition by Bo Yang, Kunkun Tong, Xueqing Zhao, Shanmin Pang, Jinguang Chen

“…Extensive experiments validate that the proposed method can achieve comparable to or even better results than other state-of-the-art algorithms.…”
Get full text

A Family of Newton and Quasi-Newton Methods for Power Flow Analysis in Bipolar Direct Current Networks with Constant Power Loads by Oscar Danilo Montoya, Juan Diego Pulgarín Rivera, Luis Fernando Grisales-Noreña, Walter Gil-González, Fabio Andrade-Rengifo

“…Numerical results demonstrate that Newton-based methods exhibit quadratic convergence and high accuracy, while quasi-Newton approaches significantly reduce computational time, making them more suitable for large-scale systems. …”
Get full text

The Importance of Genetic Testing for Familial Hypercholesterolemia: A Pediatric Pilot Study by Andreea Teodora Constantin, Corina Delia, Lucia Maria Roșu, Ioana Roșca, Ioana Streață, Anca-Lelia Riza, Ioan Gherghina

“…<i>Conclusions:</i> Genetic testing for FH is not always part of screening algorithms for FH. Some studies even advise against it. …”
Get full text

Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain by Christopher Lee Colaw, Garrett Madison, Bill Tseng, Grayson Michael Griser, Gage Truelson, Adam Gallo, Yildirim Hurmuzlu

“…Common-place hardware and infrastructure, including cloud-based facility security cameras, cloud-based commercial virtual environments, a virtual reality (VR) headset, and artificial intelligence (AI) detection algorithms, have been connected via application programming interfaces (API) to enable a 24-h surveillance and feedback capability for a representative aerospace manufacturing cell. …”
Get full text

Impact of Artificial Intelligence and Virtual Reality on Educational Inclusion: A Systematic Review of Technologies Supporting Students with Disabilities by Angelos Chalkiadakis, Antonia Seremetaki, Athanasia Kanellou, Maria Kallishi, Anastasia Morfopoulou, Marina Moraitaki, Sofia Mastrokoukou

“…Ethical concerns such as privacy and algorithmic bias are cited as key areas that need careful consideration. …”
Get full text

HSI Reconstruction: A Spectral Transformer With Tensor Decomposition and Dynamic Convolution by Le Sun, Xihan Ma, Xinyu Wang, Qiao Chen, Zebin Wu

“…Conversely, traditional iterative optimization algorithms are built upon sound mathematical derivations. …”
Get full text

UAV-based remote sensing of chlorophyll-a concentrations in inland water bodies: a systematic review by Nobubelo Ngwenya, Tsitsi Bangira, Mbulisi Sibanda, Seifu Kebede Gurmessa, Tafadzwanashe Mabhaudhi

“…Monitoring chlorophyll-a content is crucial for irrigation water quality, as excessive levels can harm water bodies and reduce their volumetric capacity due to algal growth. While satellite data enhances monitoring, its coarse resolution limits application in small water bodies. …”
Get full text

An evaluation of multi-fidelity methods for quantifying uncertainty in projections of ice-sheet mass change by J. D. Jakeman, M. Perego, D. T. Seidl, T. A. Hartland, T. R. Hillebrand, M. J. Hoffman, S. F. Price

“…<p>This study investigated the computational benefits of using multi-fidelity statistical estimation (MFSE) algorithms to quantify uncertainty in the mass change of Humboldt Glacier, Greenland, between 2007 and 2100 using a single climate change scenario. …”
Get full text

Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

“…Current challenges include data security, algorithmic bias, and ethical compliance. Conclusion: While AI shows promise in advancing dental diagnostics and treatment accuracy, successful clinical integration requires addressing privacy concerns, establishing regulatory standards, and developing comprehensive professional training programs. …”
Get full text

Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…These two drawbacks of TR-LDA significantly reduce the performance of feature selection algorithms based on it. To overcome these drawbacks, this paper proposes the sparse LDA with constant between-class distance (SLDA-CBD) model to select relavant features. …”
Get full text

Butterfly magnetoreception based neighbour awareness strategy protocol for autonomous aerial vehicles by Janjhyam Venkata Naga Ramesh, C. Dastagiraiah, Suraya Mubeen, W. Deva Priya, M. Kameswara Rao, B. H. K. Bhagat Kumar

“…ML algorithms ensure optimal energy consumption and risk mitigation by dynamically selecting the shortest path, even under abrupt environmental changes. …”
Get full text

Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape by A. Kostrzewa, A. Płatek-Żak, P. Banat, Ł. Wilk

“…Commercial software typically offers higher accuracy but comes at a high cost, while open-source solutions provide a free alternative, though they are less intuitive for some users. …”
Get full text

A new approach for diabetes risk detection using quadratic interpolation flower pollination neural network by Yulianto Triwahyuadi POLLY, Adriana FANGGIDAE, Juan Rizky Mannuel LEDOH, Clarissa Elfira AMOS PAH, Bertha S. DJAHI, Kisan Emiliano Rape TUPEN

“…These algorithms were tested on a diabetes risk dataset divided into training, validation, and testing subsets. …”
Get full text