Development of RF Hardware and Point Cloud Processing Method for Phased Array Millimeter Wave Radar by Zihang Yan, Hua Zhang, Bo Yan, Jingrong Sun

“…The development of smart transportation has raised the demand for perception and detection of vehicle targets on the road, and compared to traditional methods, such as video cameras, millimeter wave radar applications are becoming increasingly widespread. This article mainly focuses on the research of phased array millimeter wave radar, introduces the principles of beamforming and scanning, designs microstrip array antennas, and develops radar hardware RF boards using a four-chip cascade approach. …”
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The real-world analysis of adverse events with azacitidine: a pharmacovigilance study based on the FAERS and WHO-VigiAccess databases by Zhaorui Wang, Linlin Guo, Youfu He, Baiquan Zhang, Yang Wang, Juan Ding

“…However, adverse events (AEs) associated with azacitidine are mainly reported in clinical trials, with limited real-world evidence. …”
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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…Consequently, the streamlined execution of this operation is pivotal, as it will facilitate the effective deployment of encryption algorithms on these resource-limited devices. Therefore, the presented research concentrates on the formulation of a spatially and energetically efficient hardware implementation for the finite-field multiplication operation. …”
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Remote sensing in the estimation of evapotranspiration of tomato cultivation for industrial processing by Carolina Carvalho Rocha Sena, José Alves Júnior, João Mauricio Fernandes Souza, Adão Wagner Pego Evangelista, Rafael Battisti, Derblai Casaroli, Elson de Jesus Antunes Junior

“…The maximum evapotranspiration estimated by SAFER was 5.20 mm d-1, and by METRIC was 5.00 mm d-1. The algorithms were accurate compared with the standard methods, mainly the FAO using Embrapa’s Kc. …”
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Curvature estimation for point cloud 2-manifolds based on the heat kernel by Kai Wang, Xiheng Wang, Xiaoping Wang

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A Review of Control Strategies for Four-Switch Buck–Boost Converters by Guanzheng Lin, Yan Li, Zhaoyun Zhang

“…Hard-switching multi-mode control strategies aim to improve control algorithms and logic to mitigate large duty cycle variations and voltage gain discontinuities caused by dead zones. …”
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Simulation-Based Schedule Optimization for Virtual Coupling-Enabled Rail Transit Services with Multiagent Technique by Jiamin Zhang

“…Third, the VC-enabled train-centric, passenger demand-driven, and agent-based simulation flow and algorithms are developed innovatively, which adopt the ergodic strategy for simulation by traversing each O-D pair demand along each route section over the rail transit network. …”
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Development and validation of an interpretable risk prediction model for the early classification of thalassemia by Jin-Xin Lai, Jia-Wei Tang, Shan-Shan Gong, Ming-Xiong Qin, Yu-Lu Zhang, Quan-Fa Liang, Li-Yan Li, Zhen Cai, Liang Wang

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Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Dataset from the Festival of Lights in Lyon by Oscar Dufour, Huu-Tu Dang, Jakob Cordes, Raphael Korbmacher, Mohcine Chraibi, Benoit Gaudou, Alexandre Nicolas, Antoine Tordeux

“…However, current research mainly relies on data collected in controlled settings. …”
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AI-Driven Predictive Maintenance for Workforce and Service Optimization in the Automotive Sector by Şenda Yıldırım, Ahmet Deniz Yücekaya, Mustafa Hekimoğlu, Meltem Ucal, Mehmet Nafiz Aydin, İrem Kalafat

“…Nonetheless, after this timeframe concludes, a large number of owners turn to unapproved service providers, mainly motivated by financial factors. This change signifies a significant drop in income for automakers and their certified service networks. …”
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A Backdoor Attack Against LSTM-Based Text Classification Systems by Jiazhu Dai, Chuanshuai Chen, Yufeng Li

“…In this attack, the adversary will inject backdoors into the model and then cause the misbehavior of the model through inputs including backdoor triggers. Existed research mainly focuses on backdoor attacks in image classification based on CNN, little attention has been paid to the backdoor attacks in RNN. …”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…Furthermore, the description of these techniques facilitates the operations of evaluations and research with a more specific scope. This study initially covers the definition and modeling of speckle noise. …”
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Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

“…Edge computing systems must offer low latency at low cost and low power consumption for sensors and other applications, including the IoT, smart vehicles, smart homes, and 6G. Thus, substantial research has been conducted to identify optimum task allocation schemes in this context using non-linear optimization, machine learning, and market-based algorithms. …”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…Future research could explore the application of this method across additional levels of supply chain management.…”
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Metrology of Multicarrier-Based Delay-Doppler Channel Sounding for Sub-THz Frequencies by Jonas Gedschold, Diego Dupleich, Sebastian Semper, Michael Dobereiner, Alexander Ebert, Giovanni Del Galdo, Reiner S. Thoma

“…Developing channel models typically requires aggregating channel measurements and the corresponding extracted propagation parameters from different research institutions to form a sufficiently large data basis. …”
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The Scope and Direction of Changes in the Revenues of Local Government Units in Poland in the New Act of October 1, 2024 by Dagmara Hajdys

“…These include the "determinants" adopted for the various algorithms used to determine the expenditure needs of each LGU. …”
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The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models by Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed

“…Although artificial intelligence (AI) has showed amazing promise in breast cancer prediction mainly machine learning (ML) algorithms as well as deep learning (DL), practical use of these models is greatly hampered by their lack of interpretability and transparency. …”
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A Review of Vibration Control Studies of Double-Layered Cylindrical Shells Under Transient Excitation in Water by Zhen Zhang, Yinglong Zhao, Feng Chen

“…Compared with the field of traditional mechanical noise, research on vibration control of the noise that is transiently excited underwater still has significant deficiencies in terms of its theoretical depth and systematicity. …”
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Adaptive Control of VSG Inertia Damping Based on MADDPG by Demu Zhang, Jing Zhang, Yu He, Tao Shen, Xingyan Liu

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Blood biomarker discovery for autism spectrum disorder: A proteomic analysis. by Laura Hewitson, Jeremy A Mathews, Morgan Devlin, Claire Schutte, Jeon Lee, Dwight C German

“…Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneity of the disorder, current biomarker research efforts are geared mainly toward identifying markers for determining ASD risk or for assisting with a diagnosis. …”
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