Numerical Solution of the Inverse Thermoacoustics Problem Using QFT and Gradient Method by Syrym E. Kasenov, Aigerim M. Tleulesova, Almas N. Temirbekov, Zholaman M. Bektemessov, Rysbike A. Asanova

“…The inverse problem was reduced to an optimization problem, where the objective function was minimized using gradient methods, including the accelerated Nesterov algorithm. The conjugate problem was constructed, and the functional gradient was computed, while the existence of the Frechet derivative was proved. …”
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Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling by Hafidz Ihsan Hidayatullah, Muhammad Taufiq Saifullah, Muhammad Thesa Ghozali, Ayesha Aziz

“…Generative AI (GenAI) chatbots, driven by advanced machine learning algorithms, are emerging as transformative tools for enhancing patient education, information dissemination, and counseling (EIC) in healthcare. …”
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Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data by Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle

“…The study concludes that Machine learning algorithms, particularly ensemble learning, hold significant promise for improving CVD risk assessment. …”
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Innovative Digital Cognitive Behavioral Treatment for Insomnia Disorder in Adults (dCBT-i): Framework Development by Emilie Stern, Severine Brune, Stéphane Mouchabac, Anthony Dubroc, Charles de la Personne, Pierre Alexis Geoffroy

“…MethodsThe program was constructed based on validated CBT-i theory and practice, incorporating the latest scientific data on CBT for insomnia. …”
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Financing Mechanisms and Preferences of Technology-Driven Small- and Medium-Sized Enterprises in the Digitalization Context by Jing Hu, Lianming Huang, Weifu Li, Hongyi Xu

“…Additionally, six machine learning (ML) algorithms were employed to predict financing preferences. …”
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CHDPL-Net: a lightweight network for Chinese herbal decoction pieces detection by Chuhe Lin, Zhijun Xie, Xing Jin, Hangjuan Lin, Renguang Shan

“…However, the performance of current algorithms remains unsatisfactory. To address this, we have constructed a diverse CHDP dataset and proposed a lightweight network for CHDP detection, named CHDPL-Net. …”
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A Generalized Dynamic Potential Energy Model for Multiagent Path Planning by Liu He, Haoning Xi, Tangyi Guo, Kun Tang

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Automatic Subject Cataloguing at the German National Library by Christoph Poley, Sandro Uhlmann, Frank Busse, Jan-Helge Jacobs, Maximilian Kähler, Matthias Nagelschmidt, Markus Schumacher

“…Today, the DNB uses open source algorithms and frameworks to assign various types of thematic meta information in this way. …”
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ARchitect: advancing architectural visualization and interaction through handheld augmented reality by Sabahat Israr, Sabahat Israr, Mudassar Ali Khan, Muhammad Shahid Anwar, Kamran Ahmad Awan, Saoucene Mahfoudh, Turki Althaqafi, Wadee Alhalabi, Wadee Alhalabi

“…The proposed approach enables users to dynamically overlay and manipulate 3D architectural elements, such as roofs, windows, and doors, within their physical environment using AR raycasting and device sensors. Algorithms supporting translation, rotation, and scaling allow precise adjustments to model placement while integrating metadata to enhance design comprehension. …”
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Developing a Critical Imagination for How Researchers can use Artificially Intelligent Tools Reflexively and Responsibly During Qualitative Literature Reviews by Kristen Foley, Caitlan McLean, Reece De Zylva, Gregorius Asa, Jordana Maio, Samantha Batchelor, Gideon Dzando, Ahmad Dimassi

“…Our manuscript engages with this critical challenge by using multi-layered forms of reasoning to develop a critical imagination for qualitative researchers integrating novel forms of AI into their literature review methodology. …”
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Calculation of Derivatives in the Lp Spaces where 1 ≤ p ≤ ∞ by Anatoly Nikolaevich Morozov

“…It is shown that for the function \( f \) from the space  \( W_p^k \) the sequence piecewise constant functions defined by integral-difference \(k\)-th order expressions converges to  \( f^{(k)} \) on the norm of the space \( L_p[I].\) The constructions are algorithmic in nature and can be applied in numerical computer research of various differential models.…”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…Based on this model, a micro‐energy network is constructed that integrates renewable energy access and waste heat recovery from the data centre. …”
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Combined Prediction Method of Short-Term Distance Headway Based on EB-GRA-TCN by Chun Wang, Weihua Zhang, Cong Wu, Heng Hu, Wenjia Zhu

“…The TCN architecture integrates the advantages of recurrent neural network (RNN) and convolutional neural network (CNN), which could fully use the previous DHW information. …”
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A Comprehensive Overview of the Development and Research of Energy Savings of Electric Wheel Loader by Xiaotao Fei, Zuo Cheng, Shaw Voon Wong, Muhammad Amin Azman, Dawei Wang, Xiuxian Zhang, Qiuchen Shao, Qingqiu Lin

“…The analysis reveals that integrating optimal control strategies with machine learning algorithms—such as model predictive control (MPC)—is a critical pathway to achieving energy-efficient and assisted driving in next-generation EWLs. …”
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An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection by Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim

“…The proposed algorithm preprocesses 21-channel EEG signals by segmenting them into 4-second Hann windows, applies the Short-Time Fourier Transform (STFT) to extract time-frequency features, and constructs stacked spectrograms that serve as three-dimensional inputs to the model. …”
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Implementation of carrier-grade quantum communication networks over 10000 km by Hao-Ze Chen, Ming-Han Li, Yu Zhou Wang, Zhen-Geng Zhao, Cheng Ye, Fei Long Li, Zhu Chen, Sheng-Long Han, Bao Tang, Ya Jun Miao, Wei Qi

“…China attaches great importance to the construction of QKD network to deal with this threat. …”
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Predictive Study on the Cutting Energy Efficiency of Dredgers Based on Specific Cutting Energy by Junlang Yuan, Ke Yang, Taiwei Yang, Haoran Xu, Ting Xiong, Shidong Fan

“…Subsequently, five machine learning algorithms, such as RF and XGBoost, are used in combination with a grid search to find the optimal hyperparameters, and Lasso is used as the meta-learner to integrate the prediction results. …”
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DQN-Based Shaped Reward Function Mold for UAV Emergency Communication by Chenhao Ye, Wei Zhu, Shiluo Guo, Jinyin Bai

“…Initially, we delineate a specific mountainous emergency communication scenario and integrate it with the particularized application of UAVs to undertake virtual simulations, constructing a realistic virtual environment. …”
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Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan by Ronnason Chinram, Shahzaib Ashraf, Saleem Abdullah, Pattarawan Petchkaew

“…In addition, we design an algorithm to tackle the uncertainty to investigating the best wind power plant selection in four potential locations in Pakistan. …”
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A Multi-Scale Airspace Sectorization Framework Based on QTM and HDQN by Qingping Liu, Xuesheng Zhao, Xinglong Wang, Mengmeng Qin, Wenbin Sun

“…To address this issue, a multi-scale airspace sectorization framework is proposed, which integrates a multi-resolution grid system and a hierarchical deep reinforcement learning algorithm. …”
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