Performance of speech enhancement models in video conferences: DeepFilterNet3 and RNNoise by Muhammad Iqbal Maulana, Muhammad Fadhlillah Raisul Akbar, Zendi Iklima

“…In this study, we conducted an in-depth analysis of two speech enhancement models, RNNoise and DeepFilterNet3, selected for their respective strengths. DeepFilterNet3 leverages time-frequency masking with a Complex Mask filter, while RNNoise employs Recurrent Neural Networks with lower complexity. …”
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Comparative Study of Time Series Analysis Algorithms Suitable for Short-Term Forecasting in Implementing Demand Response Based on AMI by Myung-Joo Park, Hyo-Sik Yang

“…This research offers practical guidelines for selecting the optimal forecasting model based on data characteristics and application needs, contributing to the development of more efficient and dynamic energy management strategies. …”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…The method operates in two stages: (1) Optimizing GWO for feature selection to identify relevant features and reduce feature errors, and (2) Utilizing AE for efficient anomaly detection. …”
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Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality by Juan Izquierdo-Domenech, Jordi Linares-Pellicer, Isabel Ferri-Molla

“…These capabilities ultimately improve the effectiveness and efficiency of tasks in complex environments.…”
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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

“…To achieve trustworthy ML for riverine sediment timeseries predictions, this study proposes an integrated ML framework, enhancing key steps: feature selection, UQ, and interpretation. Lagged hydro‐environmental variables are incorporated via rigorous feature selection. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…Addressing these concerns is critical for enhancing the overall safety and efficiency of autonomous systems navigating complex traffic environments. …”
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Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…Educational administrators, teachers, and policymakers can use the algorithm to handle huge, heterogeneous educational datasets due to its efficiency and robustness.…”
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Self-Organized Service Negotiation for Collaborative Decision Making by Bo Zhang, Zhenhua Huang, Ziming Zheng

“…And in the third phase, based on the capacity evaluation and trust computation, a negotiation mechanism is given to efficiently implement the service selection. The simulation experiment results show that our self-organized service negotiation method is feasible and effective for CDM.…”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Traditional algorithms are effective in simple scenarios, but are often limited by design features in complex environments. Algorithms based on deep learning are more suitable for automated fruit picking due to their high efficiency and accuracy. …”
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Sustainable chemistry with plasmonic photocatalysts by Yuan Lin, Bourgeois Briley B., Carlin Claire C., da Jornada Felipe H., Dionne Jennifer A.

“…Towards this goal, highly efficient and molecularly selective chemical processes that operate under mild conditions are critical. …”
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A robust RGBT tracking framework with temporal information enhancement and backward trajectory verification by Huiwei Shi, Xiaodong Mu, Hao He, Chengliang Zhong, Peng Zhao

“…Additionally, for long-term tracking scenarios where targets may be lost, the recheck network is improved with a path-consistency-based backward trajectory selection method and an approximate global search strategy, efficiently recovering lost targets. …”
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Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

“…Model performance was evaluated using multiple metrics: scatter plots, kite diagrams, density distribution histograms of relative percentage error, coefficient of determination (R2), Nash–Sutcliffe efficiency coefficient (NSE), Percent of BIAS (PBIAS), coefficient of uncertainty at the 95 % confidence level (U95 %), Kling–Gupta efficiency (KGE), Willmott index of agreement (WI), and Legates and McCabe coefficient of efficiency (LME). …”
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APPROACH TO OPTIMISING AND MANAGING WAREHOUSE STOCKS IN A CAR SERVICE by Ivan Beloev, Dimitar Grozev

“… The automotive service industry is characterised by a high degree of complexity and dynamism in its logistics processes. …”
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Influence of modification of the cast metal structure by solid phase particles on the nucleation of crystallization centers and their stability by Е.Н. Еремин

“…The obtained conclusions make it possible to select the composition of complex modifiers that allow controlling the structure of castings in the process of their crystallization. …”
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Continuous Gesture Sequences Recognition Based on Few-Shot Learning by Zhe Liu, Cao Pan, Hongyuan Wang

“…A large number of demands for space on-orbit services to ensure the on-orbit system completes its specified tasks are foreseeable, and the efficiency and the security are the most significant factors when we carry out an on-orbit mission. …”
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Models, systems, networks in economics, engineering, nature and society by N.D. Pechalin

“…An algorithm is proposed and an approbation of the search and selection of optimal control when influencing the system is carried out in order to carry out a technologically complex project with limited resources and time. …”

Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments by L. Asgharian Pournodrati, M. M. Baba, J. Gangelhoff, U. Sörgel

“…To improve computational efficiency, we use a voxel selection mechanism. Using HDBSCAN, we cluster voxel features within each window based on density and retain representative voxels with distinct characteristics. …”
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Computational Fluid Dynamics Applied to Study Coolant Loss Regimes in Very High Temperature Reactors by Uebert Gonçalves Moreira, Dany Sanchez Dominguez, Leorlen Yunier Rojas Mazaira, Carlos Alberto Brayner de Oliveira Lira, Carlos Rafael García Henández

“…In this pers-pective, VHTRs (Very High Temperature Reactors) are serious candidates for energy generation due to its   inherently safe performance, low power density and high conversion efficiency. However, the viability of these reactors depends on an efficient safety system in the operation of nuclear plants. …”
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M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures by Mahsa Sheikholeslami, Mohammad Hasan Nazari, Afshin Fassihi

“…Its ability to automate complex workflows and provide essential molecular insights can empower researchers and enhance the development of novel therapeutics, ultimately contributing to more efficient drug discovery efforts.…”
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Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network by Kun Han, Tieliang Wang, Wenhe Liu, Chunsheng Li, Xiaochen Xian, Yingying Yang

“…Abstract Due to the complex construction conditions, long work cycles, and high uncertainty inherent in agricultural water conservancy projects, accurate construction cost prediction is crucial for investment decisions. …”
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