Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…The current review systematically examines RL-based control strategies applied in BEMS frameworks integrating RES technologies between 2015 and 2025, classifying them by algorithmic approach and evaluating the role of multi-agent and hybrid methods in improving real-time adaptability and occupant comfort. …”
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Eel and Grouper Optimization-Based Fuzzy FOPI-TID^μ-PIDA Controller for Frequency Management of Smart Microgrids Under the Impact of Communication Delays and Cyberattacks... by Kareem M. AboRas, Mohammed Hamdan Alshehri, Ashraf Ibrahim Megahed

“…The Integral Time Squared Error (ITSE) of the frequency fluctuation (ΔF) around the nominal value is used as an objective function for the optimization process. …”
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…In the presence of robust antimicrobial stewardship programmes to reduce antibiotic use, a procalcitonin-guided algorithm may offer little added value. Future work Future trials must include an implementation framework to improve trial intervention fidelity, and repeated cycles of education and training to facilitate implementation of biomarker-guided algorithms into routine clinical care. …”
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Viscosity of Asphalt Binder through Equilibrium and Non-Equilibrium Molecular Dynamics Simulations by Xiancheng Hu, Xiaohan Huang, Yuanbin Zhou, Jiandong Zhang, Hongquan Lu

“…Viscosity is a curial indicator for evaluating asphalt performance, representing its ability to resist deformation under external forces. The Green–Kubo integral in equilibrium molecular dynamics simulations and the Muller-Plathe algorithm in reverse non-equilibrium molecular dynamics simulations were used to calculate the asphalt viscosity. …”
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A multi-model approach for distance and angle estimation using a custom-designed tag by Emre Erkan

“…In the second stage, the data obtained is analyzed through a MLP to predict distances and angular values. The performance of the proposed algorithm has been evaluated through experiments simulating real-world applications, yielding reliable results. …”
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Radio frequency fingerprint identification method based on syntactic recognition by CHEN Yanjun, HU Aiqun

“…., peak and valley), and the third layer integrated characteristic position and level value. …”
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Customer Clustering and Marketing Optimization in Hospitality: A Hybrid Data Mining and Decision-Making Approach from an Emerging Economy by Maryam Deldadehasl, Houra Hajian Karahroodi, Pouya Haddadian Nekah

“…This research applies the K-means clustering algorithm to classify customers from a hotel in Iran based on RMD attributes. …”
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Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force by Akmal Suhaimi, Arash Zulkarnain, Noraziah Mohamad Zin, Abdullah Abdulhameed, Aminuddin Ahmad Kayani, Ramdzan Buyong

“…One important aspect of CMF values is that they are non-numerical. Although possible, it is difficult to develop an algorithm using non-numerical values for detection applications. …”
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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective S... by Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

“…Despite the modest sample size (41 patients) of model 3, the integration of sonography data appeared to offer additional value in predicting pCR and warrants further investigation. …”
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Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…Moreover, investment in modernizing technological infrastructures and integrating innovative tools—such as artificial intelligence and machine learning algorithms—can markedly enhance the processes of data collection, storage, and retrieval. …”
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Adaptive overcurrent protection considering fault current limiters effect by R. A. Mahmoud, K. G. Ghaly, S. A. Hasan

“…The proposed algorithm includes two modules: (1) a Z-score algorithm based on both the mean and the standard deviation values of the input current data, which is used to detect fault conditions, and (2) tripping characteristic curves based on the current Mean Ratio, which are applied to estimate the appropriate operating time of the adaptive OCR. …”
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view by Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekani, Ahmad Bitarafan-Rajabi, Kouhyar Geravand, Parham Geramifar

“…Planar image counts, body thickness, patient BMI, age, S-values, and tissue attenuation coefficients were imported as input into the AI algorithm. …”
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Estimation of Moderate-Resolution Snow Depth in Xinjiang With Enhanced-Resolution Passive Microwave and Reanalysis Data by Machine Learning Methods by Yongchang Yan, Yan Qin, Yongqiang Liu, Yubao Qiu, Yang Liu

“…The integration of multisource data into the passive microwave retrieval of snow depth (SD) is vital for accurately capturing large-scale distribution of SD. …”
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Utility-Based Joint Routing, Network Coding, and Power Control for Wireless Ad Hoc Networks by Kaiqian Ou, Yinlong Xu, Xiumin Wang, Wang Liu

“…To evaluate routing optimality, we adopt expected utility as a metric, which integrates energy cost, reliability, and benefit value. …”
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Prescribed-Time Cooperative Output Regulation by Bounded Observer-Based Time-Varying Protocols by Jiaxin Zhou, Yuan Tian, Yan Li, Sidong Wu

“…This work lays a theoretical groundwork for complex network systems, such as the cooperative combat scenarios of multiple unmanned aerial vehicles and coordinated attacks of multiple missiles. The practical value of the proposed algorithm is verified through two simulation cases of a linear multi-agent system with one leader and four followers, showcasing its efficacy and potential in real applications.…”
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Toward global rooftop PV detection with Deep Active Learning by Matthias Zech, Hendrik-Pieter Tetens, Joseph Ranalli

“…Recent advances in Deep Active Learning offer the opportunity to significantly reduce the number of required annotated images by intelligently selecting the images to label next based on their informative value for the model. In this study, we compare different Deep Active Learning algorithms using a variety of datasets from different regions and compare different model training variants. …”
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Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches. by Maria Fazal, Salma Kanwal, Muhammad Taskeen Raza, Asima Razzaque

“…A topological index is a numerical value derived from the structure of a molecule or graph that provides useful information about the molecule's physical, chemical, or biological properties. …”
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Collaborative carbon emission peak actions in urban agglomerations: multi-agent reinforcement learning analysis of the urban agglomerations of Beijing-Tianjin-Hebei and Yangtze Riv... by Bingbing Zhao, Min Deng, Wei-Zhen Lu, Kaiqi Chen

“…The socioeconomic actions of cities within an urban agglomeration are coordinated using the QMIX algorithm, which employs value function factorization to integrate local decisions and feedback on reduced emissions. …”
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A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning by Chuanxiang Ren, Fangfang Fu, Changchang Yin, Li Lu, Lin Cheng

“…The predicted value of traffic flow modal components by spatio-temporal feature model are stacked to obtain the ultimate traffic flow prediction results. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…To address these limitations, the proposed model integrates an Adaptive Neuro-Fuzzy Inference System (ANFIS) with a multi-input multi-output (MIMO) prediction algorithm, utilizing historical temperature and irradiance data for accurate and efficient forecasting. …”
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