Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications by Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

“…Electrostatic discharge (ESD) protection is generally required in integrated circuit (IC) chips. The grounded-gate n-channel metal-oxide-semiconductor (GGNMOS) is a popular device for ESD protection in circuit design. …”
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Detect+Track: robust and flexible software tools for improved tracking and behavioural analysis of fish by Abhishek Dutta, Natalia Pérez-Campanero, Graham K. Taylor, Andrew Zisserman, Cait Newport

“…We introduce a novel video processing method called Detect+Track that combines a deep learning-based object detector with a template-based object agnostic tracker to significantly enhance the accuracy and robustness of animal tracking. …”
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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…These three modules (A\B\C) were assembled with the plant expression vector backbone pHK2-Bsa Ⅰ-Bb using Golden Gate cloning technology, ultimately establishing the modular CRISPR gene editing system e35S-Cas9-AtU6-gRNA-RUBY. …”
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THE USE OF LOW-INTENSITY RADIATION IN TREATMENT OF PERIODONTAL TISSUE DISEASES (LITERATURE REVIEW) by E.M. Danko, Ye.Ya. Kostenko, S.B. Kostenko, V.V. Pantyo

“…Polychromatic and monochromatic PILER shows a pronounced antimicrobial effect against opportunistic pathogens, although complete data on its use in periodontology is not yet available. …”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…However, when considering computational resources such as memory and processing time, the XGBoost model provides optimal results, offering faster processing and reduced memory usage. …”
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Research on synchronous radiation scanning transmission X-ray microscopy system closed-loop control method by YAO Zhen, JIAO Yuchen, ZHAO Bo, SUN Tianxiao, ZHANG Yufei, GUO Zhi, WANG Yong, XU Zijian, LI Haitao, LIU Haigang, ZHANG Xiangzhi, TAI Renzhong

“…Then, a software-driven closed-loop control system was developed on Field Programmable Gate Array (FPGA) platform by leveraging these insights, and a Fast Fourier Transform (FFT) based approach was implemented to process precise (picometer-scale) and rapid (1 kHz) positional data captured by a laser interferometer. …”
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Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what is the best way to leverage regionalised informatio... by S. K. R. Chidepudi, S. K. R. Chidepudi, N. Massei, A. Jardani, B. Dieppois, A. Henriot, M. Fournier

“…Clustering-based modelling reduces complexity in the training data and targets relevant information more efficiently. …”
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Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Canc... by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

“…The methodology integrates Stacked Autoencoders for reducing dimensionality and gated recurrent units for analyzing sequential data to ensure both accuracy and efficiency. …”
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Research on Transimpedance Amplifier based on Inductive Peaking Technology by LI Qian, ZHAO Zhongliang, PANG Junqi, ZHANG Lei, TAN Qiulin

“…In this paper, a wide bandwidth Transimpedance Amplifier (TIA) applied in optical communication system is designed based on a low-cost 130 nm Complementary Metal Oxide Semiconductor (CMOS) process technology, which can achieve high-speed data transmission at 10 Gbit/s.…”
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A life cycle risk assessment of nanopesticides in freshwater by Mingyan Ke, Keshuo Zhang, Andrea L. Hicks, Fan Wu, Jing You

“…Conventional ecological risk assessments prioritize downstream anthropogenic impacts, overlooking risks arising from upstream processes involving highly hazardous substances and indirect emissions. …”
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Effects of Exercise Training on Ventricular Remodelling in Patients with Myocardial Infarction: A Systematic Review with Meta-analysis by Tejas R Chokshi, Sohil Takodara, Dinkey Mankad

“…Introduction: Ventricular remodelling refers to the process of alteration in ventricular size, shape, and function. …”
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Multichannel Attention-Based TCN-GRU Network for Remaining Useful Life Prediction of Aero-Engines by Jiabao Zou, Ping Lin

“…The model combines a temporal convolutional network (TCN) with multichannel attention and a gated recurrent unit (GRU) network. The framework begins with data pre-processing, followed by temporal feature extraction through an overlaying TCN network. …”
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Domain general noise reduction for time series signals with Noisereduce by Tim Sainburg, Asaf Zorea

“…Noisereduce uses spectral gating to estimate a frequency-domain mask that effectively separates signals from noise. …”
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A New Analysis of Web Customer Service Text Classification of Alexa Virtual Assistant Commands Using a Deep Learning Model by Seidakhmet Nurpatsha

“…Text classification, a significant subfield of Natural Language Processing (NLP), plays a vital role in managing and interpreting the ever-increasing volume of textual data generated by modern technology. …”
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Optimization method of electric vehicle energy system based on machine learning by Huanmei Ren

“…IntroductionTo enhance energy management in electric vehicles (EVs), this study proposes an optimization model based on reinforcement learning.MethodsThe model integrates gated recurrent units (GRU) with double deep Q-networks (DDQN) to improve time-series data processing and action value estimation.ResultsResults show that the model achieves the lowest estimation bias (0.017 in training, 0.018 in testing) and the highest cumulative reward (97.1) among all compared methods. …”
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Integrating quantum synchronization in future generation networks by Swaraj Shekhar Nande, Muhammad Idham Habibie, Milad Ghadimi, Andrea Garbugli, Koteswararao Kondepu, Riccardo Bassoli, Frank H. P. Fitzek

“…Abstract The advent of Beyond 5G (emerging 6G) technologies represents a significant step forward in telecommunications, offering unprecedented data speeds and connectivity. These advances enable a wide range of applications, from enhanced mobile broadband and the Internet of Things to ultra-reliable low-latency communication and the tactical Internet. …”
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Construction of knowledge graph for gas polyethylene pipelines based on ALBERT-BiGRU-CRF by Zhilong Yu, Juan Zhou, Qiang Wang, Haiting Zhou, Yun Song, Chenjia Zong

“…Next, the improved ALBERT, incorporating features from various levels, generates high-quality word vectors, which serve as input feature vectors for the bidirectional gated recurrent unit (BiGRU) model to improve the model’s semantic comprehension ability in processing pipeline O&M data. …”
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Characteristics and Mechanisms of Single Event Effects Caused by Atmospheric Neutrons in System in Package Device by YE Jiefeng1, 2, LIANG Chaohui2, ZHANG Zhangang2, ZHENG Shunshun1, 2, LEI Zhifeng2, LIU Zhili3, GENG Gaoying3, HAN Hui1

“…As the process node decreases from 40 nm to 28 nm, the U-SEU cross section reduces by 73%. …”
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm by Jawhara Aljabri

“…The main intention of the MHAID-IWSOA methodology relies on enhancing the cybersecurity detection and migration model using advanced optimization algorithms. Initially, the data pre-processing applies min–max scaling to transform input data into a beneficial format. …”
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