Synchronization in graph analysis algorithms on the Partially Ordered Event‐Triggered Systems many‐core architecture by Ashur Rafiev, Alex Yakovlev, Ghaith Tarawneh, Matthew F. Naylor, Simon W. Moore, David B. Thomas, Graeme M. Bragg, Mark L. Vousden, Andrew D. Brown

“…Abstract One of the key problems in designing and implementing graph analysis algorithms for distributed platforms is to find an optimal way of managing communication flows in the massively parallel processing network. …”
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Improved Switching Strategy for Selective Harmonic Elimination in DC-AC Signal Generation via Pulse-Width Modulation by Francisco Palacios-Quiñonero, Jesus Vicente-Rodrigo, Maria A. Molina-Hernández, Hamid Reza Karimi

“…Additionally, obtaining suitable equation systems for designs with a large number of switching instants requires solving a complex optimization problem. In defining the constitutive pulses of a PWM signal, a suitable partition of the time interval is used as a reference system. …”
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Development and validation of a rapid loop-mediated isothermal amplification assay for the detection of Chrysomyxa and characterization of Chrysomyxa woroninii overwintering on Pic... by Wan Ting Yu, Xin Wang, Tan Yin, Clement Kin-Ming Tsui, Chong Juan You

“…In this study, a sensitive, genus-specific loop-mediated isothermal amplification (LAMP) assay targeting the ITS-28S rRNA region was developed to detect the presence of Chrysomyxa in spruce needle and bud samples. After optimization and validation, the LAMP assay was found to be sensitive to detect as low as 5.2 fg/µL DNA, making it suitable for rapid on-site testing for rust infection. …”
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Social-aware routing for cognitive radio–based vehicular ad hoc networks by Jing Wang, Huyin Zhang, Xing Tang, Sheng Hao

“…In the inter-community communication process, we utilize the optimized-binary-tree replication policy and the bridge coefficient rank. …”
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Designing Adaptability Strategy to a Novel Kinetic Adaptive Façade (NKAF); Toward a Pioneering Method in Dynamic-objects Daylight Simulation (Post-Processing) by Ali Goharian, Mohammadjavad Mahdavinejad, Sana Ghazazani, Seyed Morteza Hosseini, Zahra Zamani, Hossein Yavari, Fereshteh Ghafarpoor, Fataneh Shoghi

“…Additionally, post-processing with NSGA-II multi-objective optimization provided an optimal framework for annual performance, effectively balancing multiple design goals. …”
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Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey by Taojie Kuang, Pengfei Liu, Zhixiang Ren

“…The precise prediction of molecular properties is essential for advancements in drug development, particularly in virtual screening and compound optimization. The recent introduction of numerous deep learningbased methods has shown remarkable potential in enhancing Molecular Property Prediction (MPP), especially improving accuracy and insights into molecular structures. …”
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Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility by Oscar Alvear, Nicola Roberto Zema, Enrico Natalizio, Carlos T. Calafate

“…These UAVs are guided by our proposed Pollution-driven UAV Control (PdUC) algorithm, which is based on a chemotaxis metaheuristic and a local particle swarm optimization strategy. Together, they allow automatically performing the monitoring of a specified area using UAVs. …”
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Study on displacement by integrating acceleration of vibration screening excitation platform based on EBKA-TVF-EMD by Chenggang Deng, Hongji Dong

“…Compared to traditional optimization algorithms, EBKA achieves superior performance and adaptability. …”
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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…Moreover, the current literature frequently lacks particular information regarding the DL structures, hyperparameters, and optimization techniques employed. To predict credit card default, this study evaluates the efficacy of a DL model and compares it to other ML models, such as Decision Tree (DT) and Adaboost. …”
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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

“…To address the problem of predicting the state of health (SOH) of lithium-ion batteries, this study develops three models optimized using the particle swarm optimization (PSO) algorithm, including the long short-term memory (LSTM) network, convolutional neural network (CNN), and support vector regression (SVR), for accurate SOH estimation. …”
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Diffusion bonding of RAFM steels: Evolution of interfacial oxide layer with pressure and microstructure and mechanical property after post bonding heat treatment by Chen J.-G., Wang W.-J., Dong J., Wang C.-C., Wei Y.-S.

“…The oxide layer at the bonding interface underwent an evolution process from continuous to discontinuous and ultimately disappeared with the increase of bonding pressure. The optimal joint was achieved in this work at the pressure of 20 MPa. …”
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Approximate CNN Hardware Accelerators for Resource Constrained Devices by P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi

“…Implementation of Convolutional Neural Networks (CNNs) on edge devices require reduction in computational complexity. Leveraging optimization techniques or approximate computing techniques can reduce the overhead associated with hardware implementation. …”
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Problems of interaction in the investigation of corruption crimes in the field of official activity and professional activity related to the provision of public services by Yu. K. Doroshenko

“…Cooperation in the investigation of crimes, in particular in the field of official activity, is one of the methods of combating crime, which consists in the coordination and combination in order and on the basis of the law, the efforts of several persons, divisions, bodies, etc. in order to ensure the optimization of the pre-trial investigation of criminal offenses. …”
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The potential of green roof strategies for reducing CO2 emissions and energy use in Moroccan office buildings by Abdessamad Idouanaou, Mustapha Malha, Abdellah Bah, Saïd Kardellass

“…The findings underscore the need for region-specific optimization, including strategies like seasonal plant height adjustment and LAI selection, to balance cooling benefits and heating trade-offs. …”
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Enhancing Indoor mmWave Communication With ML-Based Propagation Models by Gustavo Adulfo Lopez-Ramirez, Alejandro Aragon-Zavala

“…This research advances our understanding of mmWave propagation indoors and sets a framework for utilizing ML in telecommunication system design and optimization in specific environments.…”
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Distributionally robust parameter estimation for nonlinear fed-batch switched time-delay system with moment constraints of uncertain measured output data by Sida Lin, Jinlong Yuan, Zichao Liu, Tao Zhou, An Li, Chuanye Gu, Kuikui Gao, Jun Xie

“…Then, the gradients of the cost function of the SLPE problem were derived. A hybrid optimization algorithm was proposed for solving the SLPE problem. …”
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Social and humanitarian policy of Ukraine in the conditions of war by Humeniuk T.

“…The aim of this research is to highlight the influence of European integration on the optimization of the legal fundamentals of social policy in Ukraine. …”
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The role of circular shield in improving the thermal efficiency of domestic gas stove by Mingze Su, Yu Lin, Deqi Meng, Naiping Gao, Tong Zhu, Jiawei Chen, Dingrui Zhang, Zhonghua Li, Xiaowen Liu

“…The clarification of the above mechanism is helpful for the further optimization of circular shield.…”
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Schiff bases and their possible therapeutic applications: A review by Nidhi, Siddharam, Devendra Pratap Rao, Amit Kumar Gautam, Ashish Verma, Yashveer Gautam

“…The long history of Schiff base has been fascinating chemists to explore its new dimension by generating optimal analogs with their therapeutic effects to serve the humankind. …”
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Air Traffic Efficiency Analysis of Airliner Scheduled Flights Using Collaborative Actions for Renovation of Air Traffic Systems Open Data by Akinori Harada, Tooru Ezaki, Tomoaki Wakayama, Koichi Oka

“…Dynamic programming is used as the trajectory optimization method. The flight fuel consumption and flight time of the optimized flight are compared with the original values to evaluate the operational efficiency. …”
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