Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON by Ming-Yi Chen, Hwa Chien, Hwa Chien, Wen-Hao Yeh, Li-Ching Lin, Yu-Fu Liou

“…By explicitly incorporating Vrel as an input feature, our retrieval model achieves improved wind speed estimation accuracy from TRITON data, reducing root-mean-square error (RMSE) by over 11%. These results underscore the importance of orbital dynamics in GNSS-R applications and position TRITON as a valuable platform for advancing ocean remote sensing capabilities.…”
Get full text

Extremely High-Efficiency Coupling Method for Hollow-Core Photonic Crystal Fiber by Danyun Fan, Zhiqiang Jin, Guanghui Wang, Fei Xu, Yanqing Lu, Dora Juan Juan Hu, Lei Wei, Ping Shum, Xuping Zhang

“…In addition, our proposed method is coaxiality error free, angle deviation free, and insertion length insensitive. …”
Get full text

Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor by Mayra Cruz-Fernández, J. T. López-Maldonado, Omar Rodriguez-Abreo, Alondra Anahí Ortiz Verdín, J. Iván Amezcua Tinajero, Idalberto Macías-Socarrás, Juvenal Rodríguez-Reséndiz

“…Motors and their models have been extensively analyzed, studied, and parameterized using various techniques due to their broad applicability in motorering and industrial settings. …”
Get full text

BLE phase-based ranging: accuracy and capability under strong Wi-Fi interference by Igor Kravets, Nazarii Kotliar, Oleksandr Karpin, Andriy Luchechko

“…Indoor positioning and asset tracking have become popular and essential for different applications and use cases. Many systems use Bluetooth Low Energy (BLE) wireless personal area network technology for communication and ranging purposes. …”
Get full text

Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency by Yaling Hew, Duygu Kutuk, Tuba Duzcu, Yagmur Ergun, Murat Basar

“…It underscores the necessity of ongoing research and ethical oversight to ensure fair and transparent applications in this sensitive field, assuring the responsible use of AI in reproductive medicine.…”
Get full text

U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal by Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang

“…Optical remotely sensed time series data have various key applications in Earth surface dynamics. However, cloud cover significantly hampers data analysis and interpretation. …”
Get full text

Real-Time Pupil Localization Algorithm for Blurred Images Based on Double Constraints by Shufang Qiu, Yi Wang, Zeyuan Liu, Huaiyu Cai, Xiaodong Chen

“…The proposed algorithm provides an efficient and precise solution for pupil localization, demonstrating practical applicability in the monitoring of real-world driver fatigue.…”
Get full text

Threshold Successive Cancellation Flip Decoding Algorithm for Polar Codes: Design and Performance by Zhicheng Liu, Liuquan Yao, Shuai Yuan, Guiying Yan, Zhiming Ma, Yuting Liu

“…Theoretical analysis reveals that Th-SCF asymptotically delays the first error position (FEP, the first part where the SC decoder fails) with probability 1, ensuring high decoding performance. …”
Get full text

A reliable framework for supply chain management using cluster based blockchain for intelligent industrial automation by Eesa Alsolami, Mahmoud Ahmad Al-khasawenh, Ala Abdulsalam Alarood, Ahmed Omar Alzahrani, Ahmed Aalameen Ibraheem, Mazdak Zamani

“…Software Development applications with 26 software metrics are used for the performance evaluation. …”
Get full text

High-Level Synthesis: Productivity, Performance, and Software Constraints by Yun Liang, Kyle Rupnow, Yinan Li, Dongbo Min, Minh N. Do, Deming Chen

“…FPGAs are an attractive platform for applications with high computation demand and low energy consumption requirements. …”
Get full text

Tidal Volume Monitoring via Surface Motions of the Upper Body—A Pilot Study of an Artificial Intelligence Approach by Bernhard Laufer, Tamer Abdulbaki Alshirbaji, Paul David Docherty, Nour Aldeen Jalal, Sabine Krueger-Ziolek, Knut Moeller

“…The results showed that the linear regression approach, after individual calibration, could be used in clinical applications for 13/16 subjects (mean absolute error < 150 mL), while the CNN approach achieved this accuracy in 5/16 subjects. …”
Get full text

Non-Invasive and Long-Term Electrophysiological Monitoring Sensors for Cerebral Organoids Differentiation by Yan Jin, Yixun Guo, Qiushi Li, Lei Wu, Yuqing Ge, Jianlong Zhao

“…Understanding the electrophysiological properties of these organoids is crucial for evaluating their functional maturity and potential applications. However, the differentiation and maturation of stem cells into cerebral organoids is a long, slow, and error-prone process. …”
Get full text

Adaptive speed control of BLDC motors for enhanced electric vehicle performance using fuzzy logic by R. Shenbagalakshmi, Shailendra Kumar Mittal, J. Subramaniyan, V. Vengatesan, D. Manikandan, Krishnaraj Ramaswamy

“…The results show that FLC produces smooth speed transitions, no overshoot, and zero steady-state error with a settling time of only 0.05s, as in contrast to 0.1s for the PID controller. …”
Get full text

Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach by Mohammad Mazyad Hazzazi, Mujeeb Ur Rehman, Arslan Shafique, Amer Aljaedi, Zaid Bassfar, Aminu Bello Usman

“…Abstract In recent years, numerous image encryption schemes have been developed that demonstrate different levels of effectiveness in terms of robust security and real-time applications. While a few of them outperform in terms of robust security, others perform well for real-time applications where less processing time is required. …”
Get full text

An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…Quite recently, the combination of improved accuracy, flexibility, available datasets, state-of-the-art architectures, and diverse applications has contributed to the widespread adoption and popularity of deep learning-based object detection techniques, particularly for many applications in computer vision and emerging applications. …”
Get full text

The Utility of Virtual Reality in Ophthalmology: A Review by Ahuja AS, Paredes III AA, Eisel ML, Ahuja SA, Wagner IV, Vasu P, Dorairaj S, Miller D, Abubaker Y

“…Our goal was to explore the applications and feasibility of VR in ophthalmology. …”
Get full text

Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites by Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey

“…Abstract The field emission performance of aluminium-based metal matrix composites reinforced with graphene (AlGr-MMCs) has garnered significant attention due to their potential applications in advanced electronics and in materials-based cathode systems. …”
Get full text

Machine learning-based optimization of photogrammetric JRC accuracy by Qinzheng Yang, Ang Li, Yipeng Liu, Hongtian Wang, Zhendong Leng, Fei Deng

“…Using seven machine learning algorithms, optimization models for photogrammetric JRC accuracy were developed, with Linear Multidimensional Regression and Gaussian Process Regression models improving JRC accuracy by an average of 85.73%. Finally, the applicability and limitations of the newly proposed method were further discussed.…”
Get full text

Low power, non-intrusive 3D localization for underwater mobile robots by Suryansh Sharma, Daniel Van Passen, R. Venkatesha Prasad, Kaushik Chowdhury

“…Pisces enables robust relative localization, especially in swarms of robots with the potential for additional applications like docking. We demonstrate high localization accuracy with a Mean Absolute Error (MAE) of 0.031 m at 0.32 m separation and 0.16 m MAE at 1 m separation. …”
Get full text

Models for a Fast Computation of Internal Overvoltages in Medium-Frequency Transformers by Bastian Korthauer, Jurgen Biela

“…The individual validation of all presented submodels not only confirms the applicability to overvoltage modeling, but also demonstrates a potential use of the models in other areas of high-frequency modeling.…”
Get full text