End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…The upper level focuses on training the power forecasting model, formulated as a combined forecasting problem, while the lower level aims to minimize microgrid operational costs. …”
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Deep Reinforcement Learning Based Transferable EMS for Hybrid Electric Trains by Yogesh Wankhede, Sheetal Rana, Faruk Kazi

“…The DDPG+TL agent consumes up to 3.9% less energy than conventional rule-based EMS while maintaining the battery's charge level within a predetermined range. …”
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Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle by Wenyuan Shao, Jianmin Hu, Yicai Ji, Jun Pan, Guangyou Fang

“…Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. …”
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Insights into Optimal Schemes of Radial Network Arch Pedestrian Bridge by Rimantas Belevičius, Dainius Rusakevičius, Saulius Valentinavičius

“…Mathematically, this is a constrained mixed-integer global optimization problem solved by a stochastic evolutionary algorithm. Plane light-deck bridges of typical moderate 30, 45, 60, 75, and 90 m spans were optimized. …”
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Urban Land-use Features Mapping from LiDAR and Remote Sensing Images using Visual Transformer Network Model by Q. Yuan

“…LiDAR has relatively accurate three-dimensional spatial information, while remote sensing image has rich spectral information. …”
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Effect of Structure on Osteogenesis of Bone Scaffold: Simulation Analysis Based on Mechanobiology and Animal Experiment Verification by Jialiang Li, Zhongwei Sun, Xinyu Wei, Qinghua Tan, Xijing He

“…A tissue regeneration algorithm based on mechanical regulation theory was implemented in this study to evaluate the osteogenesis of classical scaffolds (Gyroid, I-WP, and Diamond). …”
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A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery by Margus Välja, Robert Lagerström, Ulrik Franke, Göran Ericsson

“…We build upon previous research in modeling automation and propose a framework for merging data from multiple sources with a truth discovery algorithm to create multiple IT architecture models. …”
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A blockchain-based access control method for large-scale electronic medical records by Zhen Chu, Wangjie Qiu, Tianyu Lei, Jinchun He, Qinnan Zhang

“…The framework first introduces a real-time access behavior analysis algorithm. It then integrates Ethereum smart contract technology with the RBAC model to construct high-performance, scalable access control contracts. …”
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Sentiment Analysis of Public Satisfaction with the 'INFO BMKG' Application using Naive Bayes, SVM, and KNN by Natasya Aditiya, Pratomo Setiaji, Supriyono Supriyono

“…This research employs three classification algorithms—Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—to categorize user reviews into positive, neutral, or negative sentiments. …”
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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

“…It delves into advancements in detector design and modifications, projection sampling techniques, traditional reconstruction algorithm development and optimization, and the emerging role of deep learning. …”
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Methodological approaches to prevention of radiation-induced skin reactions in neutron-photon therapy for malignant neoplasms by E. L. Choynzonov, V. A. Lisin, О. V. Gribova, V. V. Velikaya, Zh. А. Startseva

“…We used the dependence of the relative biological effectiveness (RBE) of neutrons on the dose and time-dose-fractionation model (tdF). the interaction of neutrons with various types of tissues was analyzed, and the algorithm for summing neutron and photon doses in neutronphoton therapy was developed.Results. …”
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Insurance claims estimation and fraud detection with optimized deep learning techniques by P. Anand Kumar, S. Sountharrajan

“…With accurate estimation of insurance claims, insurers can have good risk perceptions and disburse compensation within proper time, while fraud prevention helps deter massive monetary loss from fraudulent activities. …”
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<italic>DynaTrack</italic>: Low-Power Channel-Aware Dynamic Smartphone Tracking Using UWB DL-TDOA by Junyoung Choi, Sagnik Bhattacharya, Joohyun Lee

“…Based on the conducted experiments, we show that DynaTrack achieves 41% higher accuracy in NLOS conditions while having 46% lower power consumption in LOS conditions compared to existing methods from prior research.…”
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An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model by Minghao Zhu, Jialong Lai, Xiaoping Zhang, Yi Xu, Weidong He

“…In this study, we propose a machine-learning-based approach using the CatBoost algorithm to classify craters based on variables extracted from Digital Elevation Model (DEM) data. …”
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Replacing non-biomedical concepts improves embedding of biomedical concepts. by Enock Niyonkuru, Mauricio Soto Gomez, Elena Casarighi, Stephan Antogiovanni, Hannah Blau, Justin T Reese, Giorgio Valentini, Peter N Robinson

“…Embeddings were generated using the Word2Vec algorithm applied to a corpus of 10 million PubMed abstracts. …”
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A Distributed Magnetic Sensor Network: Vehicle Trajectory Tracking Based on Cellular Automaton by Xinpeng Yao, Yanli Sun, Mengfei Liu, Hua Wang, Zijian Wang, Wei Quan, Wen Rong

“…To address these challenges, this paper proposes a novel method that integrates a distributed wireless magnetic sensor network with a temporal-spatial correlation algorithm to associate vehicle signals from multiple sensors. …”
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FungID: Innovative Fungi Identification Method with Chromogenic Profiling of Colony Color Patterns by John Pouris, Konstantinos Konstantinidis, Ioanna Pyrri, Effie G. Papageorgiou, Chrysa Voyiatzaki

“…Our research underscores the promising role of deep learning algorithms in enhancing the understanding of the taxonomy and ecological functions of fungi that can be grown in pure cultures, while also emphasizing the importance of carefully assessing the scope and limitations of these methods.…”
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Research on Heating Load Prediction Model based on the Influence of Multiple Meteorological Elements using Deep Learning by Rui MIAO, Mingcai LI, Meiling SUN, Di PAN, Xifan ZHANG

“…Accurate heating load forecasting is crucial for enhancing the efficiency of district heating systems and improving indoor comfort in buildings.This study takes Tianjin， a major city in northern China， as a case study.Based on hourly heating load and meteorological data from the heating season in 2021 -2022， the impacts of comprehensive meteorological factors， such as temperature， wind speed， relative humidity， and solar radiation， on heating load is analyzed.An efficient short-term heating load prediction model is constructed using the Nonlinear Autoregressive with Exogenous Inputs （NARX） neural network algorithm.The results show that the hourly heating load that displays significant diurnal and monthly variations， has a notably negative correlation with temperature， weakly negative correlation with solar radiation， while the relationships with humidity and wind speed vary depending on the season.Compared to the prediction model considering only temperature， the model incorporating temperature， wind speed， relative humidity， and solar radiation together has better prediction performance， reducing the relative error by approximately 1.4%.By comparing the forecast results with the LSTM neural network prediction model， the NARX model significantly enhances prediction accuracy with decreasing the relative error by about 3.6%.…”
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Optional and mandatory assignment strategies for dynamic vehicle routing with time windows by Mustafa Demirbilek

“…Results show that MPA outperforms under tighter time windows and high-demand settings, while MPM demonstrates robust performance across broader conditions. …”
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Low-Light Image Enhancement Using CycleGAN-Based Near-Infrared Image Generation and Fusion by Min-Han Lee, Young-Ho Go, Seung-Hwan Lee, Sung-Hak Lee

“…Experimental results demonstrate that the proposed method outperforms conventional algorithms, delivering superior quality and detail retention. …”
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