Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…The paper presents original decision functions derived from the transformation of power spectral density estimates of the Burg method. …”
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Reinforcement Learning-Driven Secrecy Energy Efficiency Maximization in RIS-Enabled Communication Systems by Akram Y. Sarhan, Osamah A. Abdullah, Hayder Al-Hraishawi, Faisal S. Alsubaei

“…We introduce an innovative framework that utilizes the deep deterministic policy gradient (DDPG) algorithm to address the challenges of the MDP. …”
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High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control by Yifang Liu, Yiman Chen, Huangping Yan, Junyu Chen, Huatan Chen, Shufan Li, Xiang Cheng, Gaofeng Zheng

“…The volatility percentage of the current decreased from 34% to 12%, the fluctuation range of the fiber diameter was reduced from 35 μm to 15 μm, and the volatility percentage of the fiber spacing decreased from 29% to 9.5%. …”
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Phase Difference of Arrival Aided Downlink Time Difference of Arrival Ultra-Wide Band Positioning System by Josef Krska, Christian Gentner, Vaclav Navratil

“…In this article we leverage UWB-PDoA board with two Qorvo DW1000 transceivers that share a common clock. Its position is estimated by fusing the TDoA and PDoA by Extended Kalman Filter (EKF) in downlink-based system. …”
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Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…However, these estimators may struggle to detect significant process shifts, particularly in the presence of large deviations. …”
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Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau by Guang Pu, Lingyu Han, Liangliang Chen, Dan Wan, Hongfen Teng

“…While numerous studies have analyzed vegetation changes on the Tibetan Plateau from 1982 to 2015 using remote sensing data, most have been limited by insufficient temporal coverage and low-resolution datasets, constraining the accuracy of trend detection and driver analysis. …”
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Revealing High‐Temporal‐Resolution Flood Evolution With Low Latency Using GRACE Follow‐On Ranging Data by Hao‐si Li, Shuang Yi, Zi‐ren Luo, Peng Xu

“…The results present the temporal progression of the floods up to a maximum of ∼40 Gt with a scale of 3–5 days. However, the GFO‐derived water gain in CC is much lower than expected values from land surface models, indicating a mass deficit during the flood. …”
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NMD-FusionNet: a multimodal fusion-based medical imaging-assisted diagnostic model for liver cancer by Qing Ye, Minghao Luo, Jing Zhou, Chunlei Cheng, Lin Peng, Jia Wu

“…The framework includes a three-stage pipeline: first, a refined non-local means filtering algorithm is employed for pre-screening, discarding over 80% of non-diagnostic images using adaptive thresholding; second, a multimodal image fusion method integrates multi-phase, multi-source liver cancer image data through multi-scale decomposition and precise fusion rules to reduce noise and motion artifacts; third, a dual-path DconnNet segmentation network is constructed, incorporating a directional excitation module in the encoder and a spatial awareness unit in the decoder, guided by a boundary-constrained loss function to enhance segmentation accuracy. …”
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Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

“…The SIMDP-EDLIoT model is designed to monitor and detect various conditions and activities within indoor spaces for disabled people. …”
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Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window by Jin He, Yinzhen Li, Yuhong Chao, Ruhu Gao

“…This paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time-dependent passenger flow and provide better prompt train service according to passengers’ demand. …”
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An online tool based on the Internet of Things and intelligent blockchain technology for data privacy and security in rural and agricultural development by Krishnaprasath Vellimalaipattinam Thiruvenkatasamy, Hayder M. A. Ghanimi, Sudhakar Sengan, Meshal Ghalib Alharbi

“…The model comprises Edge, Fog, and Cloud levels, employing discrete ‘Data Handlers’ for each tier, confirming an efficient data lifecycle. …”
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Characteristics and prediction methods of coal spontaneous combustion for deep coal mining in the Ximeng mining area by Li MA, Wenbo GAO, Longlong TUO, Pengyu ZHANG, Zhou ZHENG, Ruizhi GUO

“…As a result, the predicted temperatures based on the test set coincided well with the actual values, with a mean absolute error of 0.762℃, a root mean square deviation of 1.014, and a coefficient of determination of 0.999 4. …”
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A high performance approach to ensure image security during transmission by Adithya S Nair, Charvi Upreti, Advaith Arun, Renuka Devi S

“…The data is then transmitted over four different ports, ensuring that, even if one part of the transmission is intercepted, the attacker cannot access the full data. …”
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Differential Evolution for Optimizing Model Parameters in Simulation of Direct Dimethyl Carbonate Synthesis by Outi Ruusunen, Riitta Keiski, Mika Ruusunen

“…This study employs a data-driven model applying differential equations and literature data to simulate DMC synthesis. …”
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PUE Attack Detection in CWSN Using Collaboration and Learning Behavior by Javier Blesa, Elena Romero, Alba Rozas, Alvaro Araujo, Octavio Nieto-Taladriz

“…This paper discusses a new approach, based on anomaly behavior detection and collaboration, to detect the PUE attack in CWSN scenarios. …”
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Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid by Sri Harish Nandigam, Krishna Mohan Reddy Pothireddy, K. Nageswara Rao, Surender Reddy Salkuti

“…Moreover, the problems associated with outliers and denial of service (DoS) attacks hinder energy management. …”
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Efficient Detection of Mind Wandering During Reading Aloud Using Blinks, Pitch Frequency, and Reading Rate by Amir Rabinovitch, Eden Ben Baruch, Maor Siton, Nuphar Avital, Menahem Yeari, Dror Malka

“…These methods are often cumbersome, uncomfortable for participants, and invasive, requiring specialized, expensive equipment that disrupts the natural learning environment. To overcome these challenges, a new algorithm has been developed to detect mind wandering during reading aloud. …”
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Promoting Health Literacy With Human-in-the-Loop Video Understandability Classification of YouTube Videos: Development and Evaluation Study by Xiao Liu, Anjana Susarla, Rema Padman

“…MethodsWe developed a human-in-the-loop, augmented intelligence approach that explicitly focused on the human-algorithm interaction, combining PEMAT-based patient education constructs mapped to features extracted from the videos, annotations of the videos by domain experts, and cotraining methods from machine learning to assess the understandability of videos on diabetes and classify them. …”
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Serein: A parallel pipeline‐based DAG schema for consensus in blockchain by Yang Liu, Jingwen Chen, Miaomiao Zhang, Shidong Shi, Feng Wang

“…This paper proposes a parallel pipeline‐based DAG schema for consensus in blockchain, Serein. …”
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Advancing low‐light object detection with you only look once models: An empirical study and performance evaluation by Samier Uddin Ahammad Shovo, Md. Golam Rabbani Abir, Md. Mohsin Kabir, M. F. Mridha

“…The ExDark dataset is a dataset that consists of adequate low‐light images, modified to simulate realistic low‐light scenarios, and employed for evaluation. …”
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