Enhancing augmented reality with machine learning for hands-on origami training by Mikołaj Łysakowski, Jakub Gapsa, Chenxu Lyu, Thomas Bohné, Sławomir Konrad Tadeja, Piotr Skrzypczyński, Piotr Skrzypczyński

“…These findings suggest that while ML-supported AR systems can enhance the user experience, further optimization is required to streamline the feedback process and improve efficiency in complex manual tasks.…”
Get full text

CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging by Salihuojia Talanti, Kerui Fu, Xiaolong Zheng, Youzhi Shi, Yimei Tan, Chenxi Liu, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

“…Abstract Simultaneously capturing static images and processing dynamic visual information within a single sensor enables a more comprehensive and efficient acquisition of scene information, thereby enhancing the understanding and processing of complex scenes. …”
Get full text

Advancing Urban Development: Applications of Hyperspectral Imaging in Smart City Innovations and Sustainable Solutions by Arvind Mukundan, Riya Karmakar, Jumana Jouhar, Muhamed Adil Edavana Valappil, Hsiang-Chen Wang

“…Smart cities are urban areas that use advanced technologies to make urban living better through efficient resource management, sustainable development, and improved quality of life. …”
Get full text

Mixed hemimicelle dispersive solid-phase extraction of methamphetamine from urine by ionic liquid coated silica nanoparticles by Sepideh Boyaghchi, Arezou Taghvimi, Samin Hamidi, Siavoush Dastmalchi, Asrin Pakravan, Yousef Javadzadeh

“…The method’s limit of detection (LOD) was calculated as 9 ng/mL. Analysis of addicted subjects for the proposed method proves that the method could be used in clinical and analytical laboratories to detect methamphetamine efficiently.…”
Get full text

Orthophoto generation with gaussian splatting: mitigating reflective surface artifacts in imagery from low-cost sensors by M. Previtali, L. Barazzetti, F. Roncoroni

“…Additionally, this approach proves to be computationally efficient, making it ideal for low-cost sensor applications. …”
Get full text

Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture by Zhu-xing Ma, Li-shuo Zhang, Hao Gu, Zi-zhong Xin, Zhe Kang, Zhao-lei Wang

“…In view of the low efficiency of the traditional manual evaluation method of substation equipment status under the background of complex environment, a panoramic evaluation method of substation equipment health status based on multisource monitoring and deep convolution neural network under edge computing architecture is proposed. …”
Get full text

High salicylic acid concentration alters the electron flow associated with photosystem II in barley by Ghader Habibi, Atousa Vaziri

“…This lower Fv/Fm and PIABS coupled with lower levels of Chl b and carotenoids, and lower values of photosynthetic electron transport chain components including the electron transport flux (φEo) and the inferred oxygen evolving complex activity (Fv/Fo). By monitoring the chlorophyll a fluorescence rise kinetics, from the initial “O” level to the “P” (the peak) level, a dramatic increase in “OJ” phase was detected, which coincides with an increased photo-reduction of QA as a result of blockage of electron flow. …”
Get full text

Livestock metabolomics and the livestock metabolome: A systematic review. by Seyed Ali Goldansaz, An Chi Guo, Tanvir Sajed, Michael A Steele, Graham S Plastow, David S Wishart

“…Metabolomics is also allowing researchers to focus on measuring the end-products of complex, hard-to-decipher genetic, epigenetic and environmental interactions. …”
Get full text

Novel ecofriendly spectrophotometric methods for the determination of six dihydropyridines calcium channel blockers through derivatization with sulfophtalein dye: application to ta... by Mariana Horyn, Liubomyr Kryskiw, Tetyana Kucher, Nadiya Zarivna, Olha Poliak, Liliya Logoyda

“…The optimal parameters for CCBs spectrophotometric analysis via complex formation using BPB were as follows: detection wavelength—596 nm, reaction time—5 min, ratio of reacting components—1:1, operating temperature—25 ± 2 °C. …”
Get full text

Synthesis, DFT calculation, and molecular docking simulation of spirooxindoles based Creatinine chemosensor of Cu2+ by Ghodsi Mohammadi Ziarani, Nikoo Shamkhali, Zahra Panahande, Mehran Feizi-Dehnayebi, Alireza Badiei

“…It is evident that Cu2+ ion is one of the dangerous heavy metals for human health and the environment; therefore, it is very important to identify and detect it easily with an efficient chemosensor. The computational method (DFT) was applied to investigate the ligand's active site for Cu2+ interaction and to examine the electronic properties of the ligand and the ligand-Cu2+ complex. …”
Get full text

Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The long-term preservation of heritage structures relies on effective Structural Health Monitoring (SHM) systems, where sensor placement is key to ensuring early damage detection and guiding conservation efforts. Optimal Sensor Placement (OSP) methods offer a systematic framework to identify efficient sensor configurations, yet their application in historical buildings remains limited. …”
Get full text

A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Nevertheless, achieving an optimal balance among spectral resolution, detection range, and device compactness remains challenging, particularly when complex nonlinear mappings, inter-pattern correlations, and noise interference are involved. …”
Get full text

Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…We demonstrate the system’s capability for quantitatively determining isotopic distributions in various thin samples, as well as automatically reconstructing complex scenes with overlapping resonances from diverse samples. …”
Get full text

Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…<b>Background:</b> Addressing the complex diagnostic challenges of Alzheimer’s disease (AD), this study introduces FusionNet, a groundbreaking framework designed to enhance AD classification through the integration of multi-modal and longitudinal imaging data. …”
Get full text

Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…However, the automatic characterization and identification of these processes remain challenging due to the complex spatiotemporal data and unpredictable types of topographic processes in natural environments. …”
Get full text

RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

“…Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. …”
Get full text

Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Beyond soybean, AI/ML methods have enhanced QTL detection in wheat, lettuce, rice, and cotton, supporting trait dissection across diverse crop species. …”
Get full text

Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

“…This paper introduces a novel approach for energy-efficient three-dimensional online path planning for UAV formations operating in complex environments. …”
Get full text

Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…This study provides a solid foundation for developing more efficient and portable methods for detecting depression, offering new perspectives and approaches for EEG-based MDD detection, and contributing to the improvement in objectivity and precision in depression diagnosis.…”
Get full text

SECONDARY OSTEOARTHRITIS IN RHEUMATOID ARTHRITIS by I. A. Starodubtseva, L. V. Vasilyeva

“…Particular emphasis is placed on current cartilage biomarkers, their diagnostic value and role in monitoring the efficiency of treatment in clinical trials. The paper provides a comparative analysis of detectable serum and urine biomarkers according to the results of the complex analysis made by the National Institutes of Health. …”
Get full text