Adaptive Multiclient Network-on-Chip Memory Core: Hardware Architecture, Software Abstraction Layer, and Application Exploration by Diana Göhringer, Lukas Meder, Stephan Werner, Oliver Oey, Jürgen Becker, Michael Hübner

“…Finally, the advantages of the novel memory core in terms of performance, flexibility, and user friendliness are shown using a real-world image processing application.…”
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SAT: Spectrum-Adaptive Transformer with Spatial Awareness for UAV Target Tracking by Wanying Xu, Haijiang Sun, Shuai Wang

“…This research provides a significant advancement in UAV tracking, offering a robust and efficient solution for counter-UAV systems, and has the potential to enhance real-world applications in security and surveillance.…”
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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…Previous research primarily focused on static networks, neglecting the homophily and dynamics inherent in real-world networks. This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

“…      Recently, we humans integrate into the world of our smart phones and our portable electronic devices to the point that that world can numb us in one way or another and separate us from the real world, so that we and the generations that come after us are fully adapted to dealing with huge amounts of digital information, so they are ready to be absorbed faster And ready to deal with it more efficiently than previous generations, but during this process of rapid adaptation and adapting to the digital age gradually begins to lose one thing, this thing is what the machine has not given it yet and it is human emotions. …”
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Time-selective data fusion for in-network processing in ad hoc wireless sensor networks by Jaanus Kaugerand, Johannes Ehala, Leo Mõtus, Jürgo-Sören Preden

“…We propose time-selective data fusion strategy, which combines temporal alignment, temporal constraints and a method for computing delay of sensor readings, to allow fusion node to select the temporally compatible data from received streams. A real-world experiment (moving vehicles in urban environment) for validation of the strategy demonstrates significant improvement of the accuracy of fusion results.…”
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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

“…Considering the inherent lower computational cost of SNN, this work contributes to advancing the fusion of SNN and reinforcement learning techniques for energy-efficient autonomous navigation tasks in real-world mapless scenarios.…”
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Using the realistic mathematics education (RME) approach with scaffolding to enhance mathematical representation ability by Rizki Wahyu Yunian Putra, Sugeng Sutiarso, Nurhanurawati Nurhanurawati

“…The model was designed to align with learning objectives, incorporate real-world contexts, and provide structured scaffolding tailored to students’ needs. …”
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Intelligent Sensor Software for Robust and Energy-Sustainable Decision-Making in Welding of Steel Reinforcement for Concrete by Javier Ferreiro-Cabello, Francisco Javier Martinez-de-Pison, Esteban Fraile-Garcia, Alpha Pernia-Espinoza, Jose Divasón

“…The proposed methodology advances decision-making in welding processes by combining robust predictive modeling with innovative visualization techniques, offering a versatile solution for multiobjective optimization in real-world industrial applications.…”
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An effective range estimation and state-of-charge to mitigate range anxiety in electric vehicles by Shana Lakshmi Prasad, Abhishek Gudipalli

“…The drive cycles predict, optimize, and simulate the performance range of Ev's real-world driving conditions. This research thoroughly focuses on the performance range of electric vehicles incorporated with the state of charge based on various standard drive cycles. …”
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A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots by Orkan Murat Çelik, Murat Köseoğlu

“…The proposed algorithm and navigation of AMR are testedboth in real time in real world and as a simulation in Gazebo. Two algorithms were compared according to the results obtained from the robot locomotion both in real application and simulation environment. …”
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Mix-Spectrum for Generalization in Visual Reinforcement Learning by Jeong Woon Lee, Hyoseok Hwang

“…Visual Reinforcement Learning (RL) trains agents on policies using images showing the potential for real-world applications. However, the limited diversity in the training environment often results in overfitting with agents underperforming in unseen environments. …”
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Data mining of adverse drug event signals with Nirmatrelvir/Ritonavir from FAERS. by Ji Sun, Xuanyu Deng, Juanjuan Huang, Gefei He, Shiqiong Huang

“…The ADEs of Nirmatrelvir/Ritonavir that are not in the instructions and are highly relevant in the real world are supplemented, prompting clinical attention to the ADEs of the drug, and providing a theoretical basis for the safe and effective application of the drug.…”
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Exoplanet detection in rotational shearing interferometry through experimental setup and digital filtering techniques by Manuel Montes-Flores, Guillermo Garcia-Torales, Marija Strojnik

“…The RSI’s performance represents a significant advancement in interferometric techniques, suggesting its potential for real-world astronomical applications. However, further optimization is required to address challenges associated with space-based observations. …”
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A novel sea surface evaporation scheme assessed by the thermal rotating shallow water model by Masoud Rostami, Stefan Petri, Bijan Fallah, Farahnaz Fazel‐Rastgar

“…It is shown that the normalized Clausius–Clapeyron formula requires an adjustable scaling factor for real‐world applications, calibrated using empirical fitness curves. …”
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Parameters Determination via Fuzzy Inference Systems for the Logistic Populations Growth Model by Yuney Gorrin-Ortega, Selene Lilette Cardenas-Maciel, Jorge Antonio Lopez-Renteria, Nohe Ramon Cazarez-Castro

“…This method allows for the incorporation of expert knowledge and linguistic variables into the model, offering a more flexible and accurate representation of real-world ecosystems. The study concludes that this methodology significantly enhances the model’s applicability and predictive power, particularly in situations where precise data are not available.…”
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Relieving popularity bias in recommendation via debiasing representation enhancement by Junsan Zhang, Sini Wu, Te Wang, Fengmei Ding, Jie Zhu

“…Extensive experiments on three real-world datasets demonstrate that our proposed model outperforms state-of-the-art baselines in recommendation performance, with Recall@20 improvements of 4.2%, 2.4% and 3.6% across the datasets, but also shows significant effectiveness in relieving popularity bias.…”
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Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems by Yuanhong Mao, Xin Hu, Yulang Xu, Yilin Zhang, Yunan Li, Zixiang Lu, Qiguang Miao

“…The experimental results on multiple real-world datasets validate the framework’s effectiveness, demonstrating its robustness and adaptability in handling diverse sequences across various application scenarios.…”
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Optimal Scheduling of Multi-Energy Complementary Systems Based on an Improved Pelican Algorithm by Hongbo Zou, Jiehao Chen, Fushuan Wen, Yuhong Luo, Jinlong Yang, Changhua Yang

“…We establish eight scenarios with and without pumped storage across four typical seasons—spring, summer, autumn, and winter—and conduct simulation analyses on a real-world case. The objective is to minimize the total system cost. …”
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Online energy consumption forecast for battery electric buses using a learning-free algebraic method by Zejiang Wang, Guanhao Xu, Ruixiao Sun, Anye Zhou, Adian Cook, Yuche Chen

“…In addition, its online execution only involves algebraic calculations, yielding superior calculation efficiency. Using real-world data, we comprehensively compare the performance of the proposed learning-free algebraic method with multiple representative machine-learning-based methods. …”
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A fuzzy logic approach for tie strength assessment in relationship management: Design and performance comparison of two implemented fuzzy-based models by Shunya Higashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, Fatos Xhafa

“…The results suggest that FSATSM2 provides a more accurate reflection of real-world relationships, which can be applied in contexts such as Social Customer Relationship Management (SCRM), enabling businesses to enhance customer engagement strategies.…”
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