Integrated Operational Planning of Battery Storage Systems for Improved Efficiency in Residential Community Energy Management Using Multistage Stochastic Dual Dynamic Programming:... by Pattanun Chanpiwat, Fabricio Oliveira, Steven A. Gabriel

Get full text

Global influences of digital transformation on behavioral factors in tourism: a systematic literature review by Yuan Zhang, Árpád Papp-Váry, Zoltán Szabó

“…Findings reveal: (1) Hybrid frameworks dominate digital adoption research but ignore emotional and cultural factors; (2) Integrating AI, AR, and blockchain boosts satisfaction but overwhelms users and raises privacy worries; (3) Cultural contingencies—collectivism, uncertainty avoidance, and power distance—significantly mediate risk perception and institutional trust in technology adoption; (4) Behavioral adaptation trajectories show generational divides in algorithmic reliance and transparency expectations; (5) Policy integration mechanisms, including government-led digital infrastructure, GDPR-aligned regulations, and public-private partnerships, strengthen destination resilience but remain contingent on regional capacity and cultural alignment. …”
Get full text

Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…We assess technical, ethical, and organizational challenges, including data quality inconsistencies, interoperability issues, privacy concerns, algorithmic bias, and resource constraints that impede the full integration of big data into governance systems. …”
Get full text

Electronic medical records sharing solution based on Hyperledger Fabric by CHEN Jiali, MA Ziqiang, MIAO Li, LI Bingyu, YUE Xiaolin

“…For sharing EMR, patients established strict access control policies. Through the use of CP-ABE (attribute-based encryption) and the Asmuth-Bloom secret sharing algorithm, the EMR was encrypted so that only authorized personnel can access them. …”
Get full text

Container Liner Shipping System Design Considering Methanol-Powered Vessels by Zhaokun Li, Xinke Yu, Jianning Shang, Kang Chen, Xu Xin, Wei Zhang, Shaoqiang Yu

“…Sensitivity analyses of fuel types and fuel prices are conducted to demonstrate the effectiveness of the model and algorithm. Overall, our paper offers valuable insights for policymakers in designing customized emission reduction policies to support the green fuel transition in the maritime industry.…”
Get full text

Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…This research aims to enhance machine learning models by integrating Explainable AI (XAI) methods to more accurately predict the level of dietary diversity in Ethiopian preschool children. …”
Get full text

Cooperative sensing, communication and computation resource allocation in mobile edge computing-enabled vehicular networks by Zhenyu Li, Yuchuan Fu, Mengqiu Tian, Changle Li

“…To solve the RA problem, a twin delayed deep deterministic policy gradient (TD3) algorithm is adopted to explore and obtain the effective solution of the RA problem. …”
Get full text

Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach by Himanshu Choudhary, Arishi Orra, Kartik Sahoo, Manoj Thakur

“…Recent advances in portfolio optimization have shown promising capabilities of deep reinforcement learning algorithms to dynamically allocate funds across various potential assets to meet the objectives of prospective investors. …”
Get full text

Model of Interaction of Structural Elements of the Financial Market of Ukraine by Kochorba Valeriia Yu.

Get full text

Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

“…The GVSAO-CNN model, with its demonstrated ability to effectively capture dynamic efficiency changes in complex high-altitude climates, shows promise for enhancing smart grid integration, policy-making, and disaster preparedness in high-altitude regions, as evidenced by similar applications of CNN-based models in smart grid technologies. …”
Get full text

Secure multidimensional interconnection network for the software defined system on wafer by LI Peijie, SHEN Jianliang, GUO Wei, CAO Zhipeng, MEI Bo

“…To address data integrity attacks between dielets in software defined systems on wafer (SDSoW), a secure multidimensional network on wafer (SMNoW) architecture based on dynamic heterogeneous redundancy (DHR) was proposed. …”
Get full text

Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…To address these issues, this study proposes a hierarchical framework integrating an A-based energy-optimal waypoint planner, a deep deterministic policy gradient (DDPG)-driven morphing policy network, and a quasi-equilibrium glide condition (QEGC) guidance law with continuous sliding mode control. …”
Get full text

New Hybrid Method for Buffer Positioning and Production Control Using DDMRP Logic in Smart Manufacturing by Sahar Habbadi, Ismail El Mouayni, Brahim Herrou, Souhail Sekkat

“…To identify the optimal buffer locations, a Genetic Algorithm (GA) is employed. The MIP model provides the GA with production planning outputs used to evaluate the fitness of decisions regarding buffer placement. …”
Get full text

Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…This study proposes a novel optimisation approach utilising deep learning to tackle these challenges. The integration of Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) offers a practical approach to addressing the dynamic characteristics of IoT applications. …”
Get full text

A Summary of Recent Advances in the Literature on Machine Learning Techniques for Remote Sensing of Groundwater Dependent Ecosystems (GDEs) from Space by Chantel Nthabiseng Chiloane, Timothy Dube, Mbulisi Sibanda, Tatenda Dalu, Cletah Shoko

Get full text

Analysis of information flow security using software implementing business logic based on stored database program blocks by A. А. Timakov

“…The technology is presented as a step-by-step approach to resolving specific tasks, including the following: designing a database (DB) for storing and processing sensitive information; analyzing dependencies and identifying relevant sets of program blocks in the DB; generating TLA+ specifications for the identified program blocks; labeling specifications according to global security policy rules and additional constraints; applying the specification verification algorithm, and resolving security violations while providing recommendations for software developers. …”
Get full text

Assessing the spatiotemporal dynamics of seasonal and perennial surface water resources across Lesotho’s agroecological zones by Kunwar K. Singh, Sayedeh Sara Sayedi, Ariel BenYishay, Tšepiso A. Rantšo

Get full text

Reversible data hiding in encrypted domain based on fine-grained access control by ZHANG Minqing, PENG Shen, JIANG Chao, DI Fuqiang, DONG Yufeng

“…To improve the embedding rate and security of reversible data hiding algorithms in encrypted images for cloud environments, ciphertext-policy attribute-based encryption and reversible data hiding in encrypted images were organically integrated, and a reversible data hiding algorithm in encrypted images based on fine-grained access control was proposed. …”
Get full text

Enhancing Hybrid Flow Shop Scheduling Problem with a Hybrid Metaheuristic and Machine Learning Approach for Dynamic Parameter Tuning by Ahmed Abdulmunem Hussein

“…To further enhance the performance of this hybrid approach, we employ Proximal Policy Optimization (PPO), which is used for dynamic tuning of key parameters within the hybrid algorithm. …”
Get full text

Coordinated Planning of Interconnected Multi-Regional Power Systems Considering Large-Scale Energy Storage Systems, Transmission Expansion, and Carbon Emission Quota Trading by Jia Liu, Biao Jiang, Zao Tang, Pingliang Zeng, Tong Su, Yalou Li, Qiuwei Wu

“…A market-based carbon emission quota trading market that helps reduce carbon emissions is built and integrated into the coordi-nated planning model, where entities can purchase extra or sell surplus carbon emission quotas. …”
Get full text