Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller by Yassine Bensafia, Abdelhakim Idir, Khatir Khettab

Get full text

Situation Awareness and Tracking Algorithm for Countering Low-Altitude Swarm Target Threats by Nannan Zhu, Fuli Zhong, Xueyue Lei, Guo Niu, Hongtu Xie, Yue Zhang

“…To address these challenges, we design a digital staring radar system integrated with an adaptive random matrix method for efficient tracking of low-altitude swarm targets. …”
Get full text

The origin and nature of macroecological patterns in amphibians: old questions, novel approaches by Sidney F. Gouveia

“…To do this, I used a variety of data types, performed a number of spatial and phylogenetic analyses and proposed novel applications for some methods. I also provided support for some well-established hypotheses regarding the physiological determinants of species diversity and trait variation across space, while revealing other lesser known patterns and the possible processes underlying species’ distributions and niche evolution. …”
Get full text

Data‐driven guidelines for phylogenomic analyses using SNP data by Jacob S. Suissa, Gisel Y. De La Cerda, Leland C. Graber, Chloe Jelley, David Wickell, Heather R. Phillips, Ayress D. Grinage, Corrie S. Moreau, Chelsea D. Specht, Jeff J. Doyle, Jacob B. Landis

Get full text

Overload Risk Assessment of Transmission Lines Considering Dynamic Line Rating by Jieling Li, Jinming Lin, Yu Han, Lingzi Zhu, Dongxu Chang, Changzheng Shao

“…To address these challenges, in this study, an analytical overload risk assessment framework is proposed based on the second-order reliability method (SORM). By transforming multidimensional probabilistic integrals into analytical computations and establishing a multiscenario stochastic analysis model, the framework comprehensively accounts for uncertainties such as component random failures, wind power fluctuations, and load variations and enables the accurate evaluation of the overload probabilities under complex environmental conditions with DLR implementation. …”
Get full text

Continuous Glucose Monitoring (CGM) use in patients with diabetes mellitus type 1 is associated with higher healthcare costs, increased hospitalizations, and social disparities in... by Ameer Khowaja, Lina Adil, Teigan Dwyer, Tyson Barrett, Jamil Alkhaddo

Get full text

Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…Meanwhile, the SHAP method is used to analyze the feature importance and enhance the interpretability of the proposed model. …”
Get full text

Edaphic and meteorological parameters as determinants of radon exhalation and its environmental implication in Peruvian agroecosystems by B. Pérez, L. C. Stieff, R. E. Ponce-Amanca, C. J. Guevara-Pillaca, D. Palacios

“…While studies have examined radon exhalation, few have focused on modeling its behavior in agricultural settings or identifying key environmental and soil parameters that influence its variation. This study addresses this gap by applying Artificial Neural Network (ANN) models and Monte Carlo methods. …”
Get full text

Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data by Junzhen Meng, Yunfei Wang, Wenkai Liu, Xiaoquan Yang, Peipei He

Get full text

Three-axis flexible tube sensor with LSTM-based force prediction for alignment of electric vehicle charging ports by Hendri Maja Saputra, Ahmad Pahrurrozi, Catur Hilman Adritya Haryo Bhakti Baskoro, Nur Safwati Mohd Nor, Nanang Ismail, Estiko Rijanto, Edwar Yazid, Mohd Zarhamdy Md Zain, Intan Zaurah Mat Darus

“…The research aims to develop and validate a flexible and accurate sensor system capable of predicting multi-axis forces during alignment. The sensor integrates a magnetic sensor at the center of a flexible tube to capture three-dimensional (3-D) magnetic field variations corresponding to force changes. …”
Get full text

Enhanced Anti-Lock Braking System Performance: A Comparative Study of Adaptive Terminal Sliding Mode Control Approaches by Salma Khatory, Houcine Chafouk, El Mehdi Mellouli

“…Despite its advantages, SMC faces challenges such as chattering near equilibrium, sensitivity to parameter variations, and delayed convergence. To address these issues, advanced techniques like Terminal Sliding Mode Control (TSMC) and Integral Terminal Sliding Mode Control (ITSMC) have been proposed. …”
Get full text

Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…The Electrical Power System (EPS) is a critical subsystem that integrates photovoltaic sources, energy storage, and power converters to ensure reliable operation. …”
Get full text

Micrometric and Nanometric Characterization of Rock Aggregates Using AIMS, AFM, and SEM to Further Discussions on Geotechnical Roughness Classification Systems by Haline Dugolin Ceccato, Augusto Gonçalves Nobre, Andréa Valli Nummer, Rinaldo José Barbosa Pinheiro, Ricardo Barreto da Silva, Josué Neroti Rigue

“…Data obtained from AFM and SEM demonstrated greater sensitivity, revealing features not identified by AIMS, especially in fine-grained materials like the SUL rock. Therefore, integrating micro- and nanoscale analyses is proposed as a complementary approach to overcome the limitations of conventional methods.…”
Get full text

Statistical Structural Damage Detection of Functionally Graded Euler–Bernoulli Beams Based on Element Modal Strain Energy Sensitivity by Delei Yang, Chunyan Kang, Sihan Cheng, Zhongming Hu, Adesola Ademiloye

“…This evaluation is based on integrating the sensitivity of modal strain energy for each element with the perturbation method. …”
Get full text

Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

“…Simultaneous optimization of TLs and ESSs provides better and cheaper MTNEPs compared to traditional methods. The effectiveness of ESSs in integrating RES, shifting electricity, reducing/delaying investments (especially when considering <inline-formula> <tex-math notation="LaTeX">$N-1$ </tex-math></inline-formula> security constraints) and alleviating grid congestion is evidenced. …”
Get full text

Advanced Assessment of Oxidative Stress and Inflammation in Military Personnel: Development of a Novel IIRPM Score Using Artificial Intelligence by Florina-Diana Mihai, Emil-Tiberius Trasca, Patricia-Mihaela Radulescu, Razvan Mercut, Elena-Irina Caluianu, Eleonora Daniela Ciupeanu-Calugaru, Dan Marian Calafeteanu, Georgiana-Andreea Marinescu, Suzana Danoiu, Dumitru Radulescu

“…To address this problem, we developed an innovative diagnostic tool, the Post-Mission Integrated Risk Index (IIRPM), which integrates hematologic markers with key clinical variables. …”
Get full text

Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches by Mohsen Ansari, Anders Knudby, Meisam Amani, Michael Sawada

“…These issues highlight the importance of locally trained models, rigorous cross-validation methods, and integrating auxiliary data to enhance dimensionality. …”
Get full text

Thermal analysis for obtaining coal ignition characteristics in boilers——Part 2: Intrinsic reaction kinetics by Yang LIU, Zezheng SHI, Zhaoshuai CHEN, Haoyu GOU, Jiye TAO, Shiming XU, Bo YU, Peitao ZHAO, Peifang FU, Huaichun ZHOU

“…Once EX of coal char is predicted based on its chemical structure, its intrinsic reaction rates can be directly predicted using GSAFM. This correlation method provides a new perspective for studying the relationship between coal char structure and reactivity.…”
Get full text

Quantitative Estimation of Net Primary Productivity by an Improved tCASA Model Using Landsat Time Series Data: A Case Study of Central Plains, China by Lida Xu, Zongze Zhao, Cheng Wang, Hongtao Wang, Chao Ma

Get full text

QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…QuantumNet demonstrates high accuracy and resource efficiency, providing a transformative solution for DR detection and broader medical imaging applications. The method is as follows: • Evaluate three classical deep learning models—CNN, ResNet50, and MobileNetV2—using the APTOS 2019 blindness detection dataset on Kaggle to identify the best-performing model for integration. • QuantumNet combines the best-performing classical DL model for feature extraction with a variational quantum classifier, leveraging quantum transfer learning for enhanced diagnostics, validated statistically and on Google Cirq using standard metrics. • QuantumNet achieves 94.11 % accuracy, surpassing classical DL models and prior research by 11.93 percentage points, demonstrating its potential for accurate, efficient DR detection and broader medical imaging applications.…”
Get full text