UV-Vis spectroscopy coupled with firefly algorithm-enhanced artificial neural networks for the determination of propranolol, rosuvastatin, and valsartan in ternary mixtures by Ahmed Serag, Maram H. Abduljabbar, Yusuf S. Althobaiti, Farooq M. Almutairi, Shaker T. Alsharif, Rami M. Alzhrani, Marwa F. Ahmed, Atiah H. Almalki

“…The firefly algorithm (FA) was evaluated as a variable selection procedure to optimize the developed ANN models resulting in simpler models with improved predictive performance as evident by lower relative root mean square error of prediction (RRMSEP) values compared to the full spectrum ANN models. …”
Get full text

Filtering airborne LiDAR data based on multi-view window and multi-resolution hierarchical cloth simulation by Shangshu Cai, Yong Pang, Sisi Yu, Xiangguo Lin, Xinlian Liang

“…Ground filtering is a fundamental step in airborne LiDAR data processing toward a variety of applications. However, existing algorithms remain tremendously challenging in complex environments, e.g. steep hillsides, ridges, valleys, discontinuities, and numerous objects. …”
Get full text

From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery by Jeffrey Choate, Derek Worth, Scott L. Nykl, Clark Taylor, Brett Borghetti, Christine Schubert Kabban, Ryan Raettig

“…Training a convolutional neural network (CNN) for real‐world applications is challenging due to the requirement of high‐quality labeled imagery. …”
Get full text

Efficient spheroid morphology assessment with a ChatGPT data analyst: implications for cell therapy by Takuya Sakamoto, Hiroto Koma, Ayane Kuwano, Tetsuhiro Horie, Atsushi Fuku, Hironori Kitajima, Yuka Nakamura, Ikuhiro Tanida, Yujiro Nakade, Hiroaki Hirata, Yoshiyuki Tachi, Hiroshi Sunami, Daisuke Sakamoto, Sohsuke Yamada, Naoki Yamamoto, Yusuke Shimizu, Yasuhito Ishigaki, Toru Ichiseki, Ayumi Kaneuji, Satoshi Osawa, Norio Kawahara

“…Thus, this method has potential applications in regenerative medicine.…”
Get full text

Ground Vibrations Prediction Using Artificial Neural Networks by Ismail Derbal, Nouredine Bourahla, Ahmed Mebarki, Ramdane Bahar

“…Furthermore, the predictions of ground acceleration peaks have good accuracy, i.e. less than 2% error. Considering the unlimited possibilities to sample the soil properties combined to the homogenization and the synchronization techniques, the ANN model can be generalized to many practical applications.…”
Get full text

Optimal Dual Control Strategy for Multi-Interconnected Microgrids Under Unintentional Islanding and Fault Scenarios by H. K. Shaker, Ines Mahmoud, Magdi A. Mosa, K. M. Abdel-Latif, A. A. Ali, H. E. Keshta

“…Conventional fixed-parameter linear controllers such as PI and droop controllers are widely used in MG applications; however, they may not be efficient at rejecting disturbances to MGs. …”
Get full text

Experimental Analysis of Accuracy and Precision in Displacement Measurement Using Millimeter-Wave FMCW Radar by Hajime Takamatsu, Nariteru Hinohara, Ken Suzuki, Fuminori Sakai

“…Millimeter-wave radar is emerging as a key sensor technology not only for autonomous driving but also for various industrial applications, such as vital sign monitoring and structural displacement sensing using millimeter-wave FMCW radar, which must detect extremely small displacements on the sub-micron scale. …”
Get full text

Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…These findings highlight the potential of ML to support early CVD diagnosis and lay the groundwork for future research on hybrid models and real-world clinical applications.…”
Get full text

Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings by Phu-Anh-Huy Pham, Nhat-Duc Hoang

“…Additionally, an asymmetric squared error loss function is utilized to reduce overestimations by 12 %. …”
Get full text

Physics informed neural networks for fluid flow analysis with repetitive parameter initialization by Jongmok Lee, Seungmin Shin, Taewan Kim, Bumsoo Park, Ho Choi, Anna Lee, Minseok Choi, Seungchul Lee

“…This contribution not only enhances the accuracy of PINNs but also expands their applicability to more complex and stiff fluid flow analyses.…”
Get full text

Numerical Simulation Analysis of Concrete-Filled Circular CFRP–Steel Middle Long Columns by Chuheng Zhong, Shuai Wang, Jun Leng, Jinzhi Zhou

“…Moreover, the error of ANSYS calculation results is small, which is in line with the test. …”
Get full text

Load frequency control resilience of hybrid power system with renewable energy sources and superconducting magnetic energy storage using FO-Fuzzy-PID controller by Misagh Jalilian, Abdollah Rastgou, Saeed Kharrati, Saman Hosseini-Hemati

“…In other Scenario, it achieved the lowest integral of time-weighted absolute error (ITAE) value of 0.0061, representing a 44.5% improvement over the PSO-PID controller's ITAE of 0.11. …”
Get full text

Enhanced nonlinear equalization for OFDM systems in IoT-based intelligent transportation using CGLS algorithms by Jafar Ababneh, Hani Attar, Zakaria Che Muda, Ilhami Colak, Mohanad A. Deif, Samir Bendoukha, Ahmed Solyman

“…Simulation results show that the proposed methods significantly reduce bit error rates and achieve up to a 5 dB performance improvement over traditional approaches, while keeping computational costs low enough for real-time IoT applications. …”
Get full text

A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Finally, a global energy function, including reprojection error and smoothness constraints, is constructed to iteratively optimize the homography matrix and suppress stitching distortions. …”
Get full text

Super-Resolution Reconstruction of Motor Long-Wave Infrared Images Based on Improved USR-Net by Darong Zhu, Ziyan Sun, Fangbin Wang

“…Overall, the proposed method demonstrates outstanding performance in image reconstruction quality, detail preservation, and visual effects, making it highly suitable for high-precision image restoration in practical applications requiring superior image quality.…”
Get full text

Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys by Yan Zhang, Cheng Wen, Pengfei Dang, Xue Jiang, Dezhen Xue, Yanjing Su

“…Moreover, these new numerical descriptions for phase classification can be directly applied to regression model predictions of HEAs, reducing the error by 22% and improving the R 2 value from 0.79 to 0.88 in hardness prediction. …”
Get full text

Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

“…In the complex environment with frequent invalid abnormal data, the mean square error of the fusion results is small.…”
Get full text

A Prognostic Model for Newly Operated Highway Bridges Based on Censored Data and Survival Analysis by Liang Huang, Jixin Duan, Shizhan Xu, Jiapeng Zhu, Jun Liu, Danjie Niu, Li Xu, Jiangtao You, Pengtao Xue

“…The model proposed in this paper is highly applicable and reliable. Theoretically, bridge decay prediction at regional and network-wide levels can be achieved if sufficient comprehensive bridge inspection data can be collected.…”
Get full text

Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification by Tao Liu, Jiahao Liu, Dong Li, Shan Tan

“…This work lays the foundation for the reliable implementation of deep learning-based SIM methods in practical applications.…”
Get full text

Validation of Taylor’s Frozen Hypothesis for DAS-Based Flow by Shu Dai, Lei Liang, Ke Jiang, Hui Wang, Chengyi Zhong

“…Although Taylor’s frozen hypothesis has a theoretical advantage in non-intrusive velocity detection, current research focuses on planar flow fields, and its applicability in turbulent circular pipes remains controversial. …”
Get full text