Terabits without fibres by Zhenyu Xie, Qi-Fan Yang

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Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction by Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Hwee San Lim, Rosni Abdullah, Yusri Yusup, Syahidah Akmal Muhammad, Teh Sin Yin

“…For Estate A, the Neural Prophet model achieved the highest accuracy, with a Mean Absolute Error (MAE) of 0.16, a Root Mean Square Error (RMSE) of 0.18, and a Mean Absolute Percentage Error (MAPE) of 0.14. …”
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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…The results demonstrate the effectiveness of our approach when making the hyperparameter tuning and the efficiency in dealing with different color spaces, thus achieving the promised results when estimating according to the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>, Mean Average Error (MAE), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) indicators. …”
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DeepInvesting: Stock market predictions with a sequence-oriented BiLSTM stacked model – A dataset case study of AMZN by Ashkan Safari, Mohammad Ali Badamchizadeh

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A Novel Hybrid Computational Technique to Study Conformable Burgers’ Equation by Abdul-Majeed Ayebire, Atul Pasrija, Mukhdeep Singh Manshahia, Shelly Arora

“…Comparison with results already in the literature also validates the application of the proposed technique.…”
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320 GHz photonic-electronic analogue-to-digital converter (ADC) exploiting Kerr soliton microcombs by Dengyang Fang, Daniel Drayss, Huanfa Peng, Grigory Lihachev, Christoph Füllner, Artem Kuzmin, Pablo Marin-Palomo, Patrick Matalla, Prashanta Kharel, Rui Ning Wang, Johann Riemensberger, Mian Zhang, Jeremy Witzens, J. Christoph Scheytt, Wolfgang Freude, Sebastian Randel, Tobias J. Kippenberg, Christian Koos

“…In a proof-of-concept experiment, we demonstrate the viability of the concept by acquiring a broadband analogue data signal comprising different channels with centre frequencies between 24 GHz and 264 GHz, offering bit error ratios (BER) below widely used forward-error-correction (FEC) thresholds. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

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Simulation functions on metric fixed point theory by Hamid Mottaghi Golshan

“…Additionally, practical examples are provided to illustrate the applications and demonstrate the necessity of certain assumptions in the theory of metric fixed points.…”
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Interpretable machine learning approach to predict Hepatitis C virus NS5B inhibitor activity using voting-based LightGBM and SHAP by Teuku Rizky Noviandy, Aga Maulana, Irvanizam Irvanizam, Ghazi Mauer Idroes, Nur Balqis Maulydia, Trina Ekawati Tallei, Muhammad Subianto, Rinaldi Idroes

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Optimizing production efficiency in semiconductor enterprises by an improve and optimized biogeographical optimization algorithm based on three-layer coding by Jiaqi Liu

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Integrating Equation Coding with Residual Networks for Efficient ODE Approximation in Biological Research by Ziyue Yi

“…Biological research traditionally relies on experimental methods, which can be inefficient and hinder knowledge transfer due to redundant trial-and-error processes and difficulties in standardizing results. …”
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Large-scale combinatorial optical barcoding of cells with laser particles by Nicola Martino, Hao Yan, Geoffrey Abbott, Marissa Fahlberg, Sarah Forward, Kwon-Hyeon Kim, Yue Wu, Han Zhu, Sheldon J. J. Kwok, Seok-Hyun Yun

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Approaches for Localizing the Origin of PVCs in the Outflow Tract: Future Perspectives and Challenges by Baiping Sui, Yingjie Ji, Ying Wang, Ling Gao, Minghao Li

“…This article reviews the methods currently used for the localization and differentiation of PVCs, compares and analyzes their clinical significance, and explores their potential for combined application. Future directions and trends in this field are also discussed.…”
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Variational AutoEncoder for synthetic insurance data by Charlotte Jamotton, Donatien Hainaut

“…This article explores the application of Variational AutoEncoders (VAEs) to insurance data. …”
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Backtesting framework for concentrated liquidity market makers on Uniswap V3 decentralized exchange by Andrey Urusov, Rostislav Berezovskiy, Yury Yanovich

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Experimental demonstration of 8190-km long-haul semiconductor-laser chaos synchronization induced by digital optical communication signal by Anbang Wang, Junli Wang, Lin Jiang, Longsheng Wang, Yuncai Wang, Lianshan Yan, Yuwen Qin

“…Abstract Common-signal-induced synchronization of semiconductor lasers have promising applications in physical-layer secure transmission with high speed and compatibility with the current fiber communication. …”
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A plasmonic meta-rotary travelling-wave oscillator with ultrahigh phase accuracy and figure of merit by Da Yue Yao, Hao Chi Zhang, Pei Hang He, Jia Jie Shen, Jia Wen Zhu, Peigen Zhou, Xin Yu Zhang, Le Peng Zhang, Li Jie Wu, Cun Yue Wei, Rui Wen Shao, Yi Fan, Yang Zhao, Jixin Chen, Wei Hong, Tie Jun Cui

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Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

“…This paper proposes the application of two machine learning-based approaches for SOC estimation that perform well at wide range of temperatures (positive and negative) and varying dynamic loads. …”
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Spin-orbit coupling in van der Waals materials for optical vortex generation by Jaegang Jo, Sujeong Byun, Munseong Bae, Jianwei Wang, Haejun Chung, Sejeong Kim

“…Abstract An optical vortex beam has attracted significant attention across diverse applications, including optical manipulation, phase-contrast microscopy, optical communication, and quantum photonics. …”
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Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

“…Furthermore, we present a real data analysis using the Hitters dataset to demonstrate the applicability of these methods in a practical setting. …”
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