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Analysis of signal processing techniques for optical 112 Gb/s DP-QPSK receivers with experimental data

Article

Analysis of signal processing techniques for optical 112 Gb/s DP-QPSK receivers with experimental data

Thiago F. Portela et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · ISSN 2179-1074

This paper evaluates several signal processing techniques for optical dual-polarization quadrature phase-shift keying (DP-QPSK) coherent receivers, using offline post-processing of experimental data. In addition to elect...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English

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Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials

Article

Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials

Zhao Zeyu et al · Wiley · 2022 · ISSN 2192-8614

A data enhanced iterative few-sample (DEIFS) algorithm is proposed to achieve the accurate and efficient inverse design of multi-shaped 2D chiral metamaterials. Specifically, three categories of 2D diffractive chiral str...

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Functional data analysis, a comprehensive framework for processing non-quadrilinear and low-selective data provided by four-way liquid chromatography analysis

Article

Functional data analysis, a comprehensive framework for processing non-quadrilinear and low-selective data provided by four-way liquid chromatography analysis

Alcaraz, Mirta Raquel et al · Elsevier Science · 2025 · ISSN 0003-2670

The chemometric treatment of higher-order chromatographic (LC) data often crashes due to two main effects: the chromatographic band shifts/warpings across samples and quasi-full overlaps between component signals, affect...

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Single crystal characteristics of the Mg - 5% Li alloy, found from the polycrystalline experimental data and the Kearns texture parameters

Article

Single crystal characteristics of the Mg - 5% Li alloy, found from the polycrystalline experimental data and the Kearns texture parameters

V. Usov et al · Vasyl Stefanyk Carpathian National University · 2022 · ISSN 1729-4428

This work aimed to experimentally determine of the Kearns texture parameters, elastic moduli, mechanical properties (ultimate tensile strength and yield strength) of sheets of an alloy of Mg 5 wt. % Li after various type...

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Wavelength-division-multiplexing (WDM)-based integrated electronic–photonic switching network (EPSN) for high-speed data processing and transportation

Article

Wavelength-division-multiplexing (WDM)-based integrated electronic–photonic switching network (EPSN) for high-speed data processing and transportation

Feng Chenghao et al · Wiley · 2020 · ISSN 2192-8606

Integrated photonics offers attractive solutions for realizing combinational logic for high-performance computing. The integrated photonic chips can be further optimized using multiplexing techniques such as wavelength-d...

LCC TENDOlBoeXNpY3M~Idioma English

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Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach

Article

Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach

Yonghui Liu et al · Tsinghua University Press · 2025 · ISSN 2772-4247

Trajectory reconstruction from sparse and noisy GPS data is critical for applications such as urban mobility analysis, transportation planning, and navigation systems. However, large sampling intervals and the typically ...

LCC LCC:Transportation engineeringIdioma English

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A Hybrid Intersection Filtering and Recursive Feature Elimination Technique for Efficient Feature Reduction in High Dimensional Datasets

Article

A Hybrid Intersection Filtering and Recursive Feature Elimination Technique for Efficient Feature Reduction in High Dimensional Datasets

Akhmad Dahlan et al · Ikatan Ahli Informatika Indonesia · 2026 · ISSN 2580-0760

High-dimensional datasets are commonly encountered in real-world machine learning applications and often degrade classification performance due to redundant and irrelevant features. In addition, the presence of excessive...

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Automatic characterization of titanium dioxide nanotubes by image processing of scanning electron microscopic images

Article

Automatic characterization of titanium dioxide nanotubes by image processing of scanning electron microscopic images

Petra Caudrová Slavíková et al · SAGE Publishing · 2016 · ISSN 1847-9804

The presented article deals with the assessment of titanium dioxide nanotube microscopic images by means of image-processing methods. Inner diameter, wall thickness, and fraction of intertubular space are among the basic...

LCC LCC:Materials of engineering and construction. Mechanics of materials; TENDOlRlY2hub2xvZ3k~Idioma English

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Formal System Processing of Juveniles: Effects on Delinquency

Article

Formal System Processing of Juveniles: Effects on Delinquency

Anthony Petrosino et al · SAGE Publishing · 2010 · ISSN 1891-1803

The objective of this Campbell systematic review is to answer the question: Does juvenile system processing reduce subsequent delinquency? The comprehensive search yielded 29 eligible controlled trials including 7,304 ju...

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Intelligent electromagnetic metasurface camera: system design and experimental results

Article

Intelligent electromagnetic metasurface camera: system design and experimental results

Wang Zhuo et al · Wiley · 2022 · ISSN 2192-8614

Electromagnetic (EM) sensing is uniquely positioned among nondestructive examination options, which enables us to see clearly targets, even when they visually invisible, and thus has found many valuable applications in s...

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Optimizing Food Processing through a New Approach to Response Surface Methodology

Article

Optimizing Food Processing through a New Approach to Response Surface Methodology

Sungsue Rheem · Springer Nature · 2023 · ISSN 2636-0772

Abstract In a previous study, ‘response surface methodology (RSM) using a fullest balanced model’ was proposed to improve the optimization of food processing when a standard second-order model has a significant lack ...

LCC TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~; LCC:Animal cultureIdioma English

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Prediction of population behavior of Listeria monocytogenes based on ComBase database

Article

Prediction of population behavior of Listeria monocytogenes based on ComBase database

CHEN Hao et al · The Editorial Office of Chinese Journal of Food Hygiene · 2025 · ISSN 1004-8456

ObjectiveA hybrid model based on bidirectional short term memory （BiLSTM） and Transformer was constructed to predict the population behavior of Listeria monocytogenes under different environmental conditions.MethodsI...

LCC TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~; LCC:Nutrition. Foods and food supplyIdioma zho

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Revisiting seafloor magnetotelluric data and imaging local high-resolution electrical conductivity structure in the western Pacific

Article

Revisiting seafloor magnetotelluric data and imaging local high-resolution electrical conductivity structure in the western Pacific

Chen-Hsiang Alex Hung et al · SpringerOpen · 2026 · ISSN 1880-5981

Abstract The electrical structure of oceanic lithosphere and underlying asthenosphere provides crucial constraints on upper mantle dynamics, complementing seismic observations to distinguish between competing mechanisms ...

LCC LCC:Geography. Anthropology. Recreation; TENDOkdlb2Rlc3k~; TENDOkdlb2xvZ3k~Idioma English

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Flood Disaster Preparedness and Response Using a Web-Based Integrated Flood Management System (IFMS)

Article

Flood Disaster Preparedness and Response Using a Web-Based Integrated Flood Management System (IFMS)

Mohamed Abdiraman Abdirahim et al · MMU Press · 2026 · ISSN 2821-370X

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorologic...

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A time-frequency cross-attention network model for epileptic seizure detection

Article

A time-frequency cross-attention network model for epileptic seizure detection

RuYi Wang et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Epilepsy is a chronic neurological disease that profoundly impacts patients’ daily lives. Electroencephalography (EEG) serves as a crucial tool for the clinical diagnosis of epilepsy and other brain disorders....

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English

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Hybrid Sentiment Analysis Model for Customer Feedback Interpretation Using Lexicon, Machine Learning and Deep Learning Techniques

Article

Hybrid Sentiment Analysis Model for Customer Feedback Interpretation Using Lexicon, Machine Learning and Deep Learning Techniques

Jou Jia Yi et al · MMU Press · 2026 · ISSN 2821-370X

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma English

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Interactive Learning of the Ukrainian Language Among Students Using AI-Based Chatbots

Article

Interactive Learning of the Ukrainian Language Among Students Using AI-Based Chatbots

Olha Boiko et al · Vasyl Stefanyk Carpathian National University · 2026 · ISSN 2311-0155

The relevance of this study is driven by the growing need to integrate innovative digital tools, particularly artificial intelligence (AI)-based chatbots, into the educational process to enhance language learning efficie...

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Milho com diferentes graus de moagem em combinação com polpa cítrica peletizada ou casca de soja para vacas leiteiras no terço médio da lactação Effects of corn particle size and byproduct source on performance of mid-lactating dairy cows

Article

Flávio Augusto Portela Santos et al · Sociedade Brasileira de Zootecnia · 2007 · ISSN 1516-3598

LCC LCC:Animal cultureIdioma English

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Real-Time Object Tracking Using Event-Based Imaging in Cable-Driven Robotic Systems

Article

Real-Time Object Tracking Using Event-Based Imaging in Cable-Driven Robotic Systems

Karic Haris et al · EDP Sciences · 2026 · ISSN 2100-014X

Event-based image processing represents an emerging research field within computer vision and is gaining increasing relevance in modern imaging technologies. In contrast to conventional frame-based approaches, neuromorph...

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Regression Method for Rail Fastener Tightness Based on Center-Line Projection Distance Feature and Neural Network

Article

Regression Method for Rail Fastener Tightness Based on Center-Line Projection Distance Feature and Neural Network

Yuanhang Wang et al · KeAi Communications Co., Ltd · 2024 · ISSN 2192-8258

Abstract In the railway system, fasteners have the functions of damping, maintaining the track distance, and adjusting the track level. Therefore, routine maintenance and inspection of fasteners are important to ensure t...

LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English

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Specification for Biomechanical Assessment of Stair Negotiation

Thesis

Specification for Biomechanical Assessment of Stair Negotiation

HOU Meijin et al · Editorial Office of Rehabilitation Medicine · 2026 · ISSN 2096-0328

Stair negotiation is a critical activity for evaluating and maintaining an individual's functional independence. Because of its complex movement patterns, which place high demands on lower extremity joint kinematics, mus...

LCC LCC:MedicineIdioma English

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All optical tunable RF filter using elemental antimony

Article

All optical tunable RF filter using elemental antimony

Aggarwal Samarth et al · Wiley · 2024 · ISSN 2192-8614

In the past decade, the proliferation of modern telecommunication technologies, including 5G, and the widespread adoption of the Internet-of-things (IoT) have led to an unprecedented surge in data generation and transmis...

LCC TENDOlBoeXNpY3M~Idioma English

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All-optical binary computation based on inverse design method

Article

All-optical binary computation based on inverse design method

Qi Huixin et al · Wiley · 2021 · ISSN 2192-8614

The development of information technology urgently requires ultrafast, ultra-low energy consumption and ultra-high-capacity data computing abilities. Traditional computing method of electronic chips is limited by the bot...

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All-optical computing based on convolutional neural networks

Article

All-optical computing based on convolutional neural networks

Kun Liao et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2021 · ISSN 2096-4579

The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-energy-consumption computing. Existing computing instruments are pre-dominantly electronic processors, which...

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