Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

“…Unmanned aerial vehicles (UAVs) have been extensively researched and deployed in both military and civilian applications due to their tiny size, low cost, and great ease. …”
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Distributed Hybrid Localization Using RSS Threshold Based Connectivity Information and Iterative Location Update by Nyein Aye Maung Maung, Makoto Kawai

“…Optimal RSS threshold value that minimizes the error for a particular network to be localized is derived as a function of the total number of nodes and the network size. …”
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The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation by Haichuan Hu, Chuanhai Qian, Shibo Gao

“…The GF-L method reduced the root mean square error by 5.1% on average compared to the GF method, while the GF-M method achieved a 9.2% reduction. …”
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Hybrid deep learning architecture for scalable and high-quality image compression by Mustafa Al-Khafaji, Nehad T. A. Ramaha

“…A custom loss function that combines Mean Squared Error (MSE) and Structural Similarity Index (SSIM) ensures high perceptual quality and compression efficiency. …”
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Air Quality Prediction Model for Monitoring AQI by Das Aritra, Gupta Himanshu

“…Experimental findings suggest that the hybrid model outperforms standalone deep learning or ensemble methods, resulting in higher R² scores and lower error metrics. The study also discusses real-time applications, integration with additional data sources, and future research directions in AQI forecasting, aiming to support dynamic and accurate environmental monitoring systems.…”
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A Consistent Differential Privacy Dynamic Trajectory Flow Prediction Method by Hongzhi Pan

“…ABSTRACT Ensuring privacy while maintaining accuracy in trajectory prediction is a crucial challenge in privacy‐sensitive applications such as smart transportation and mobility analytics. …”
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Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks. by Stephanie Baker, Wei Xiang, Ian Atkinson

“…Based on these results, our scheme could be readily implemented into non-invasive wearable devices for continuous RR measurement in many healthcare applications.…”
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MODEL PREDICTIVE CONTROL FOR PHOTOVOLTAIC STATION MAXIMUM POWER POINT TRACKING SYSTEM by I. Elzein, Yu. N. Petrenko

“…The system under consideration consists of a solar array with nonlinear time-varying characteristics, a step-up converter with appropriate filter.The proposed algorithm has the advantages of maximizing the efficiency of the power utilization, can be integrated to other MPPT algorithms without affecting the PVM performance, is excellent for Real-Time applications and is a robust analytical method, different from the traditional MPPT algorithms which are more based on trial and error, or comparisons between present and past states. …”
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A parametric bootstrap control chart for Lindley Geometric percentiles. by Muthanna Ali Hussein Al-Lami, Hossein Jabbari Khamnei, Ali Akbar Heydari

“…This suggests its practical relevance and robustness for industrial applications in quality control. Future research should explore its performance in real-world production settings to confirm its efficiency and reliability.…”
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TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes) by Majd E. Tannous, Wassim H. Ramadan, Mohanad A. Rajab

“…This can improve the quality of many NLP applications such as information extraction, information retrieval, summarization, and question answering. …”
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Approximation and Generalization Capacities of Parametrized Quantum Circuits for Functions in Sobolev Spaces by Alberto Manzano, David Dechant, Jordi Tura, Vedran Dunjko

“…These results provide a theoretical basis for different applications of PQCs, for example for solving differential equations. …”
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Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

“…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
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An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles by Prot Piyakawanich, Pattarapong Phasukkit

“…This research represents a significant contribution to the integration of AI and UAVs technology, potentially unlocking new possibilities in UAVs applications. By enhancing the capabilities of lightweight UAVs, we are not merely improving a technical aspect, but revolutionizing the potential applications of UAVs across industries. …”
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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

“…Emerging vehicular applications will operate in complex settings with potentially abrupt and quick propagation changes. …”
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High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study by Aleksandar Miladinović, Christian Quaia, Simone Kresevic, Miloš Ajčević, Laura Diplotti, Paola Michieletto, Agostino Accardo, Stefano Pensiero

“…The system could potentially be suitable for diagnostic applications, particularly in pediatric populations where early detection of visual disorders like stereodeficiencies is critical.…”
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Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…The results indicate that DNNs and DBNs algorithms achieve the lowest error rate (2.5%) and highest accuracy (97%) with high-quality data. …”
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Innovative analysis to the time-fractional q-deformed tanh-Gordon equation via modified double Laplace transform method by Ali Khalid K., Mohamed Mohamed S., Alharbi Weam G., Maneea Marwa

“…It has many applications in condensed matter physics and in modeling physical systems that exhibit violated symmetries. …”
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EgoFall: Real-Time Privacy-Preserving Fall Risk Assessment With a Single On-Body Tracking Camera by Chiao-Yi Wang, Faranguisse Kakhi Sadrieh, Yi-Ting Shen, Giovanni Oppizzi, Li-Qun Zhang, Yang Tao

“…Additionally, a series of ablation studies explore the impact of fine-tuning data and error analysis, further highlighting EgoFall’s practicality in real-world applications.…”
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Ultra-compact dual-channel integrated CO2 infrared gas sensor by Liyang Feng, Yanxiang Liu, Yi Wang, Hong Zhou, Zhongming Lu, Tie Li

“…The minimum size of the developed sensor was 12 mm × 6 mm × 4 mm, and the reading error was <4% of the reading from −20 °C to 50 °C. …”
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Assessing the Impact of Force Feedback in Musical Knobs on Performance and User Experience by Ziyue Piao, Christian Frisson, Bavo Van Kerrebroeck, Marcelo M. Wanderley

“…Post-experiment interviews showed that preferences for Spring and Detent modes varied, and the applicants provided suggestions for future knob designs. …”
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