A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features by Nurhan Gürsel Özmen, Neslihan Baki

“…Therefore, in this study, an efficient PD detection method from EEG data by using a new set of features is searched. …”
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Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…<b>Objective:</b> In order to solve the problem of limited field of view associated with computer detection of the corn ear shape index against a complex background, this paper proposes a panoramic splicing method for corn ears against a complex background, which can splice 10 corn ear panoramic images at the same time, to improve information collection efficiency, display comprehensive information, and support data analysis, so as to realize automatic corn seed examination. …”
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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…Next, the features are extracted using the Dilated Convolution Block Attention Module with EfficientNet (DCBAM-EfficientNet) module, which derives the intrinsic and complex features. …”
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GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring by Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao

“…The model integrates IoT sensor data for real-time feedback, incorporates the GSConv module for lightweight feature extraction, and utilizes a Linformer-based attention mechanism to efficiently capture global context. These innovations reduce computational complexity while significantly improving detection accuracy. …”
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Vehicle-to-Infrastructure Multi-Sensor Fusion (V2I-MSF) With Reinforcement Learning Framework for Enhancing Autonomous Vehicle Perception by Daud Khan, Sawera Aslam, Kyunghi Chang

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TIAR-SAR: An Oriented SAR Ship Detector Combining a Task Interaction Head Architecture with Composite Angle Regression by Yu Gu, Minding Fang, Dongliang Peng

“…These include the inherent misalignment between regression and classification tasks and the boundary discontinuity problem in oriented object detection. These issues hinder efficient and accurate ship detection in complex scenarios. …”
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High-precision Simulation of Dynamic Oceans Synthetic Aperture Radar Imaging and Its Typical Application by Xiaoqing WANG, Rui QI, Xiaonan YAO, Chengji XU, Xiaopeng CHAO

“…It can also provide training samples for detecting and recognizing SAR images of complex ocean phenomena. …”
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Survey on deep learning-based integrated sensing and communication systems by RAN Xinyi, CHEN Qianbin, XU Yongjun, ZUO Wenke, ZHAO Yun, CHEN Li

“…It has demonstrated significant potential for enhancing system efficiency. However, traditional ISAC relying on prior models and expert knowledge has struggled to address real-time communication and sensing demands in dynamic environments. …”
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Decision support algorithm to prevent hardware failures by E. A. Abidova

“…The problem with this approach is that going beyond the set limits is fixed after the equipment has lost maintainability or requires complex expensive repairs. Therefore, the goal is early and reliable detection of defects in electromechanical equipment. …”
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Multi-feature Fusion Network for Classification of Pipeline Magnetic Leakage Signals by WEI Yuanyuan, LIU Ruiping, FU Shimo, WANG Yaoli

“…Methods The network leverages standard orthogonal basis functions (OBF) and minimum entropy detection (MED) features were used to comprehensively and accurately capture the complex characteristics of magnetic leakage signals. …”
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Internet of Things (IoT)-Based Solutions for Uneven Roads and Balanced Vehicle Systems Using YOLOv8 by Momotaz Begum, Abm Kamrul Islam Riad, Abdullah Al Mamun, Thofazzol Hossen, Salah Uddin, Md Nurul Absur, Hossain Shahriar

“…These problems are often complex and challenging to resolve with traditional detection and stabilization methods. …”
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Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks by Preeti Yadav, Vinay Rishiwal, Mano Yadav, Aziz Alotaibi, Vinay Maurya, Udit Agarwal, Satyam Sharma

“…The Industrial Internet of Things Networks (IIoT-N) have revolutionized industrial systems by connecting sensors, devices, and data analytics, creating complex, data-driven environments. However, key challenges persist, such as data diversity, scalability issues, sparse data, anomaly detection, and adapting to changing conditions while managing limited resources. …”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images by Ziyang Liu, Chunhong Yuan, Zixin Zhang, Xiang Zhou, Xiangyu Li, Zhen Tian, Yuting Pei, Zuowen Jiang, Zhikui Tian

“…Abstract Accurate localization and identification of protein complexes in cryo-electron tomography (cryo-ET) volumes are essential for understanding cellular functions and disease mechanisms. …”
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A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application by Lei Wang, Xiurui Geng, Luyan Ji

“…In addition, it has been theoretically proven that the solutions of the best data origins can be attributed to solving a linear equation, which makes it computationally efficient. However, CE is only designed for single-target detection cases, while multiple-target detection is more demanding in real applications. …”
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An Organ-on-a-Chip Modular Platform with Integrated Immunobiosensors for Monitoring the Extracellular Environment by Anastasia Kanioura, Myrto Kyriaki Filippidou, Dimitra Tsounidi, Panagiota S. Petrou, Stavros Chatzandroulis, Angeliki Tserepi

“…The implementation of commercially fabricated PCB components also addresses the issue of cost efficiency and manufacturing scaling-up of sensor-integrated OoCs. …”
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Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader by Qinghua MAO, Qing ZHOU, Jianquan CHAI, Yanzhang CHEN, Wenjuan YANG, Xusheng XUE

“…This method uses roadheader vibration signal for zero-speed detection. Firstly, the vibration signal is decomposed by VMD and the IMF component is selected according to the correlation coefficient. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

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Lightweight CNN-based seizure classification via leveraging chimera states in iEEG recordings by Fatemeh Azad, Saeed Bagheri Shouraki, Soheila Nazari, Mansun Chan

“…These states provide a potential tool for predicting and detecting epileptic seizures. Effective detection and classification of chimera states in intracranial electroencephalography (iEEG) signals are critical for improving patient outcomes and deepening our understanding of neurological disorders. …”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…Abstract Accurate estimation of permeability reduction in clay-rich sandstones during low-salinity water flooding is critical for optimizing enhanced oil recovery (EOR) strategies and ensuring efficient reservoir management. Traditional methods often rely on costly experiments or simplified empirical correlations, which struggle to capture the complex, non-linear interactions governing this phenomenon. …”
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