Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

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Generative AI as a tourism actor: Reconceptualising experience co-creation, destination governance and responsible innovation in the synthetic experience economy by Evangelos Christou, Anestis Fotiadis, Antonios Giannopoulos

“…Purpose: This conceptual study examines how Generative Artificial Intelligence (GenAI) reshapes value co creation, destination governance, and responsible innovation in tourism. …”
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AI-enhanced digital therapeutics for cognitive impairment: integrating mobile applications, virtual reality, and wearable devices by Dian Jiao

“…Abstract Cognitive decline affects over 50 million people globally, with prevalence expected to triple by 2050. AI-driven digital therapeutics—encompassing mobile applications, virtual reality, and wearable devices—offer transformative opportunities for cognitive rehabilitation by leveraging adaptive algorithms and real-time feedback to deliver personalized interventions. …”
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Heuristic XAI: AIME and HMM Integration Improved-Feature-Importance Assessment Through Heuristics by Takafumi Nakanishi, Ponlawat Chophuk, Krisana Chinnasarn

“…Therefore, our approach can better represent XAI contributions using algorithmic or human-supplied heuristics. Our study confirms that this approach is valid for XAI and enables the integration of algorithmic or human-supplied heuristics to realize XAI, which can significantly benefit various fields by enhancing model interpretability and decision-making processes.…”
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Algorithmically Manufactured Minds: Generative and Agentic AI in a Time of Post-Truth, Reconfiguration of Student Agency and Death of Critical Pedagogy by Aras Bozkurt

“… This paper critically examines the integration of generative and agentic AI systems within the educational landscape, arguing that they are not merely advanced tools but active participants in a complex reconfiguration of student agency. …”
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A comparative study of bone density in elderly people measured with AI and QCT by Min Guo, Min Guo, Yu Zhang, Yu Zhang, XinXin Gu, XinXin Gu, Xuhui Liu, Xuhui Liu, Fei Peng, Fei Peng, Zongjun Zhang, Zongjun Zhang, Mei Jing, Mei Jing, Yingxia Fu, Yingxia Fu

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Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction by D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite

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La cibercandidatura política de la inteligencia artificial y su impacto en los sistemas democráticos de los Estados by Juan Carlos Almache-Barreiro, José J. Albert-Márquez

“…The analysis focuses on assessing how this transformation might affect democratic state systems, ensuring that a balance is maintained between the efficiency of AI and democratic integrity, thus preserving the fundamental values of society. …”
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Research on multi-UAV autonomous obstacle avoidance algorithm integrating improved dynamic window approach and ORCA by Xucheng Chang, Jingyu Wang, Kang Li, Xinhui Zhang, Qian Tang

“…Regarding the lack of a global perspective in the DWA algorithm, a bidirectional search strategy was introduced to enhance the global value of the planned trajectory. …”
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AI-Powered IoMT Framework for Remote Triage and Diagnosis in Telemedicine Applications by Sura Saad Mohsin, Omar H. Salman, Abdulrahman Ahmed Jasim, Hajer Alwindawi, Zahraa A. Abdalkareem, Omar Sadeq Salman, Ammar Riadh Kairaldeen

“…The system integrates sensory and non-sensory information through rule-based algorithms for assigning patients to five emergency categories and offers preliminary diagnosis with practical treatment recommendations. …”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm by Amir Mohammad Haddadi, Hodjat Hamidi

“…These essential metrics are subsequently integrated into the dataset. In order to further improve the accuracy of the predictions, this research uses a Stacking Ensemble model that combines four algorithms, i.e., Elastic Net, Random Forest, XGBoost, and SVM. …”
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“Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance by Agathoklis A. Krimpenis, Loukas Athanasakos

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Traffic Prediction of Space-Integrated-Ground Information Network Based on Improved LSTM Algorithm by Chengsheng PAN, Yufu WANG, Li YANG

“…The space-integrated-ground information network is easy to interrupt and the traffi c fl uctuation is not stable due to the problems of high traffi c burst and topological time-varying, which makes the traffi c prediction diffi cult much higher than the ground.In order to solve this problem, an improved LSTM algorithm was put forward.Firstly, the traffi c autocorrelation was judged by analyzd the infl uence of the lag variable of traffi c sequence on the predicted value; Secondly, the noise and breakpoint of the training set were eliminated by replacing the interruption with the predicted value; Finally, Dropout algorithm was used to reduce the impact of noise and neural network over fi tting, and accurately predict the traffi c data of the integrated intelligent network.The simulation results showed that in OPNET simulation environment, compared with other algorithms, the accuracy of this algorithm was improved by 59.21%, and the training speed of the algorithm was improved by 11.11%, which could provide eff ective data support for the overall scheduling of the integrated intelligent network.…”
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An Improved Whale Optimization Algorithm for the Integrated Scheduling of Automated Guided Vehicles and Yard Cranes by Shuaishuai Gong, Ping Lou, Jianmin Hu, Yuhang Zeng, Chuannian Fan

“…For container tasks of size 100, the objective function value (OFV) of the IWOA was reduced by 9.25% compared to the standard Whale Optimization Algorithm. …”
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Algorithm for the synthesis of linear antenna arrays with desired radiation pattern and integral amplitude coefficients by A. V. Sadchenko, O. A. Kushnirenko, A. V. Troyansky

“…From a given directivity function the discrete Fourier transform (DFT) in the form of an array of complex numbers is found, the resulting array is then transformed into a set of attenuations for attenuators and phase shifts for phase shifters, while the amplitude coefficients are rounded off to integers, and phases are binarizated (0, π). The practical value of this algorithm is particularly high when using controlled phase shifters and attenuators integrally. …”
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Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning by Alanoud Al Mazroa, Nuha Alruwais, Muhammad Kashif Saeed, Kamal M. Othman, Randa Allafi, Ahmed S. Salama

“…These models can extract spectral and spatial information from the captured data, classifying diverse terrains, structures, and objects precisely. Furthermore, the integration of Snake Optimization algorithms assists in fine-tuning the classification process, improving accuracy. …”
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AI-driven optimization of indoor environmental quality and energy consumption in smart buildings: a bio-inspired algorithmic approach by Rehab Salaheldin Ghoneim, Mazin Arabasy, Ashraf Nadheer Abdulhadi

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Research on multi-algorithm and explainable AI techniques for predictive modeling of acute spinal cord injury using multimodal data by Jiaojiao Tai, Linbang Wang, Yijun Xie, Yang Li, Hua Fu, Xiaowen Ma, Haiyan Li, Xinying Li, Ziqiang Yan, Jingkun Liu

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Building Information Modeling and AI Algorithms for Optimizing Energy Performance in Hot Climates: A Comparative Study of Riyadh and Dubai by Mohammad H. Mehraban, Aljawharah A. Alnaser, Samad M. E. Sepasgozar

“…While current research often relies on conventional energy estimation methods, there has been a decrease in the efforts dedicated to leveraging AI-based methodologies as technology advances. This implies a dearth of multiparameter examinations in AI-driven extreme case studies. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Fourteen morphological feature parameters are constructed, and the leaf area values are measured through destructive sampling, together forming the dataset. …”
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