Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

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Resource Optimization Method Based on Spatio-Temporal Modeling in a Complex Cluster Environment for Electric Vehicle Charging Scenarios by Hongwei Wang, Wei Liu, Chenghui Wang, Kao Guo, Zihao Wang

“…Meanwhile, a composite self-organizing mechanism integrating a trust model is put forward. The trust model assists agents in choosing partners, and the Q-learning algorithm of the intelligent cluster realizes the independent evaluation of rewards and the optimization of relationship adaptation. …”
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Engine performance and emission optimization with waste cooking oil biodiesel/diesel blend using ANN and RSM techniques coupled with ACKTR-DE and HHO algorithms by Mehmet Ali Biberci, Mustafa Bahattin Çelik, Esma Ozhuner

“…The RSM regression equations were assessed using the Actor Critic with Kronecker-Factored Trust Region-Differential Evolution (ACKTR-DE) and Harris Hawks Optimization (HHO) algorithms. …”
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An Active-Set Algorithm for Convex Quadratic Programming Subject to Box Constraints with Applications in Non-Linear Optimization and Machine Learning by Konstantinos Vogklis, Isaac E. Lagaris

“…Key use cases include Support Vector Machines (SVMs), reinforcement learning, portfolio optimization, and trust-region methods in non-linear programming. …”
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Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization by Iqra Hameed, Mario R. Camana, Mohammad Abrar Shakil Sejan, Hyoung Kyu Song

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Aggregator-Based Optimization of Community Solar Energy Trading Under Practical Policy Constraints: A Case Study in Thailand by Sanvayos Siripoke, Varinvoradee Jaranya, Chalie Charoenlarpnopparut, Ruengwit Khwanrit, Puthisovathat Prum, Prasertsak Charoen

“…This paper presents SEAMS (Solar Energy Aggregator Management System), an optimization-based framework for managing solar energy trading in smart communities under Thailand’s regulatory constraints. …”
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Resolution-Aware Deep Learning with Feature Space Optimization for Reliable Identity Verification in Electronic Know Your Customer Processes by Mahasak Ketcham, Pongsarun Boonyopakorn, Thittaporn Ganokratanaa

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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering by Hanung Nindito Prasetyo, Riyanarto Sarno, Dedy Rahman Wijaya, Raden Budiraharjo, Indra Waspada, Kelly Rossa Sungkono, Abdullah Faqih Septiyanto

“…The current business environment has no room for inefficiency as it can cause companies to lose out to their competitors, to lose customer trust, and to experience cost overruns. Business processes within the company continue to grow and cause them to run more complex. …”
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Meta-analysis of the optimal needle length and decompression site for tension pneumothorax and consensus recommendations on current ATLS and ETC guidelines by Suhaib J. S. Ahmad, Jason R. Degiannis, Marion Head, Ahmed R. Ahmed, Edgar Gelber, Sherif Hakky, Armin Kieser, Martin Müller, John Darling, Dominik A. Jakob, Ioannis Panagiotis Kyriazidis, Konstantinos Degiannis, Patrick Dorn, Anil Lala, Christopher Bowman, Danielle Wilkinson, Graham Whiteley, Umair Hassan, Younis Mohamed, Kai Hui Loo, Ynyr Dewi Davies, Richard Egan, Sjaak Pouwels, Amber Coulthard, Lowri Churchill, Kiran Bhavra, Christopher Bailey, Ian Johnson, Ifan Rees, Dafydd Williams, Shahab Hajibandeh, Wah Yang, Christian Peter Subbe, Amy Owen, David Rawaf, Ameer Khamise, Ali Waleed Khalid, Chetan Parmar, J. Agustin Soler, Miriam Khalil, Ata Mohajer-Bastami, Sarah Moin, Rami Archid, Mohamed Abdulmajed, Rosalind Jones, Vignesh Balasubaramaniam, Rawa Al-Salihi, Arran Shoker, Mei-Ju Hwang, Olga Griffiths, Sushil Pandey, Lucy Lee-Smith, Aristomenis K. Exadaktylos

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Energy Urban Domain: Personalized Evaluation of Expert and Non-Expert Stakeholder Interaction With Artificial Intelligence Through ChatGPT Using the VIRTSI Model by George A. Tsihrintzis, Elissaios Sarmas, Vangelis Marinakis, Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Maria Virvou

“…Ultimately, this study strengthens VIRTSI as a necessary framework for assessing and optimizing trust in AI-driven sustainability solutions, ensuring that AI systems are not only trusted but also used effectively and responsibly in energy applications. …”
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Satellite- and Cache-Assisted UAV: A Joint Cache Placement, Resource Allocation, and Trajectory Optimization for 6G Aerial Networks by Dinh-Hieu Tran, Symeon Chatzinotas, Bjorn Ottersten

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Sparse Array Mutual Coupling Reduction by C. Larmour, N. Buchanan, V. Fusco, M. Ali Babar Abbasi

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Optimization of renin‐angiotensin‐aldosterone inhibitor therapies for evidence‐based indications: a call to action from the cardio‐kidney community by Roberto Pecoits‐Filho, Michelle M.Y. Wong, Monica Moorthy, Debasish Banerjee, Suman Behera, Viviane Calice‐Silva, Mogamat‐Yazied Chothia, Gates B. Colbert, Martha Gulati, Charles A. Herzog, Fadi Jouhra, Edgar V. Lerma, Charu Malik, Kershaw V. Patel, Amina Rakisheva, Giuseppe M.C. Rosano, Priyanka Satish, Henry H.L. Wu, Angela Yee‐Moon Wang

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Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek, Krzysztof Tyburek

“…IoT applications for building energy management, enhanced by artificial intelligence (AI), have the potential to transform how energy is consumed, monitored, and optimized, especially in distributed energy systems. …”
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Optimization of Renin-Angiotensin-Aldosterone Inhibitor Therapies for Evidence-Based Indications: a Call to Action From the Cardio-Kidney Community by Roberto Pecoits-Filho, MD, PhD, Michelle M.Y. Wong, MD, Monica Moorthy, MSc, Debasish Banerjee, MD, Suman Behera, MD, FRCPC, Viviane Calice-Silva, MD, PhD, Mogamat-Yazied Chothia, PhD, Gates B. Colbert, MD, Martha Gulati, MD, MS, Charles A. Herzog, MD, Fadi Jouhra, MD, Edgar V. Lerma, MD, Charu Malik, PhD, Kershaw V. Patel, MD, Amina Rakisheva, MD, Giuseppe M.C. Rosano, MD, PhD, Priyanka Satish, MD, Henry H.L. Wu, MBChB, Angela Yee-Moon Wang, MD, PhD

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Impact of Achieving Optimal Treatment Targets and Minimal Disease Activity on Health-Related Quality of Life and Satisfaction in Patients with Atopic Dermatitis by Jonathan I. Silverberg, Melinda Gooderham, Andreas Wollenberg, Andrew E. Pink, Diego Ruiz Dasilva, Shawn G. Kwatra, Yousef Binamer, Norito Katoh, Valeria Aoki, Alvaro Moreira, Ayman Grada, Chao Li, Brian Calimlim, Wan-Ju Lee, Christopher G. Bunick

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A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes by Swetha S, Joe Prathap P M

“…Methods Blockchain is the primary distributed device with its own approach to trust. It constructs a reliable framework for decentralized control via multi-node data repetition. …”
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Enhancing Supply Chain Resilience Through Artificial Intelligence: Developing a Comprehensive Conceptual Framework for AI Implementation and Supply Chain Optimization by Meriem Riad, Mohamed Naimi, Chafik Okar

“…By harnessing advanced AI technologies, such as machine learning, predictive analytics, and real-time data processing, organizations can more effectively anticipate, respond to, and recover from disruptions.AI improves demand forecasting accuracy, optimizes inventory management, and increases real-time visibility across the supply chain, reducing the risks of stockouts and surplus inventory. …”
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Optimal timing of anticoagulation after acute ischaemic stroke with atrial fibrillation (OPTIMAS): statistical analysis plan for a randomised controlled trial by Norin Ahmed, Hakim-Moulay Dehbi, Nick Freemantle, Jonathan Best, Philip S. Nash, James K. Ruffle, David Doig, David J. Werring

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High-dimensional parameter calibration of interest rate model for the Korean insurance capital standard by Seung Min Baik, Changhui Choi, Bong-Gyu Jang

“…Our approach integrates a trust region-based Bayesian optimization technique with a parameter space decomposition method to solve the calibration problem. …”
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