Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

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Hypoxia-related Y RNA fragments as a novel potential biomarker for distinguishing metastatic oral melanoma from non-metastatic oral melanoma in dogs by MD Nazmul Hasan, MD Mahfuzur Rahman, Al Asmaul Husna, Daiki Kato, Takayuki Nakagawa, Mohammad Arif, Naoki Miura

“…However, further investigation is required to elucidate the biological functions of Y RNA under hypoxic conditions.…”
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Trust-based Routing Optimization using Learning Automata in Wireless Sensor Network by Maryam Hajiee, Mehdi Fartash, Nafiseh Osati Eraghi

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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…This paper presents a novel approach called Direct Conditional Score (DCS) modeling that directly models the conditional score function, eliminating the need for separate likelihood terms. …”
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Risk-averse Robust Interval Economic Dispatch for Power Systems with Large-scale Wind Power Integration by Zhenjia Lin, Haoyong Chen, Jinbin Chen, Jianping Huang, Mengshi Li

“…Furthermore, when the PDFs of wind power are taken into account, the resulting dispatch solution makes a good tradeoff between the generation cost and the operational risk. Finally, the RIED model yields an optimal dispatch solution for thermal units and the allowable intervals of wind power for the wind farms, which efficiently mitigates the uncertainty in wind power generation and provides more practical suggestions for system operators. …”
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Handwritten W-Net for High-Frequency Guided Single-Image Super-Resolution by Xiang Yang, Chen Fang, Xiaolan Xie, Minggang Dong

“…The former improves the best approximate representation of image regions, whereas the latter guides the generation of SR images with more detailed features. …”
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Public support for puma reintroduction in the eastern United States by L. Mark Elbroch, Jazmin J. Murphy, Shelby C. Carlson, John A. Vucetich, Richard E. W. Berl, Lexi Galiardi, Shelby Perry, Tom Butler, Neil Carter, Joseph W. Hinton, Axel Moehrenschlager, Emily Carrollo, Rana Bayrakcismith, Jeremy T. Bruskotter

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Prototype Development and Experimental Validation for Wind Energy Harvesting from HVAC System for A Charging Station by Siti Marwangi Mohamad Maharum, Muhammad Aliff Azim Hamzah, Muhammad Ridzwan Ahmad Yusri, Izanoordina Ahmad

“…An energy storage module is also incorporated to ensure uninterrupted functionality for the developed charging station prototype. …”
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Enhanced thermal conductivity of Cu Grafted graphene-C2H6O2 based nanofluids by laser ablation for potential application as coolants in data centers by M. Aligholami, M. Akbari, R. Morad, T. M. Moodley, M. Adebisi, T. Fakude, S. Heshmatian, M. Maaza

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Unsteady thermal convective transport of nanofluids with couple stress through a circular microchannel under the time-periodic pressure gradient and electromagnetohydrodynamic by Jiali Zhang, Guangpu Zhao, Umer Farooq, Jifeng Cui

“…The velocity and temperature distributions are obtained using the Green’s function method, and the Nusselt number and entropy generation are further derived. …”
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Enhancing geodatabases operability: advanced human-computer interaction through RAG and Multi-Agent Systems by Ziming Peng, Xi Kuai, Shuisong Ke, Xuehui Dong, Renzhong Guo

“…By leveraging Geographic Information System (GIS) metadata, the method transforms natural language queries into precise SQL queries, enhancing the functionality of LLMs in geospatial database management. …”
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Politicians vs ChatGPT by Davide Garassino, Viviana Masia, Nicola Brocca, Alice Delorme Benites

“…Our results show that, on average, ChatGPT-generated texts contain more questionable presuppositions than the politicians’ texts. …”
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Opportunities and Challenges: The Use of ChatGPT in Enabling Library Knowledge Services by Huaming LI

“…Using machine transformer, human feedback reinforcement learning and other technologies to create its own open source chat machine model with intelligent interactive question and answer, text and image multi-mode generation, semantic search and discrimination and other functions, the application scenario covers a range of areas from basic library information services to intelligent knowledge services. …”
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PAIVS: prediction of avian influenza virus subtype by Hyeon-Chun Park, Juyoun Shin, Sung-Min Cho, Shinseok Kang, Yeun-Jun Chung, Seung-Hyun Jung

“…Therefore, sensitive and accurate subtyping of AIV is important to prepare and prevent for the spread of HPAI. Next-generation sequencing (NGS) can analyze the full-length sequence information of entire AIV genome at once, so this technology is becoming a more common in detecting AIVs and predicting subtypes. …”
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Glyphosate-microbial interactions: metagenomic insights and future directions by Ayabonga Sibalekile, Tesfay Araya, Julio Castillo Hernandez, Elmarie Kotzé

“…However, there is increasing concern about its potential impacts on soil microbial communities, which play crucial roles in maintaining soil functions, plant health, and crop productivity. While glyphosate can be inactivated in soil through strong sorption, desorption remains a significant challenge as glyphosate residues and metabolites can exert toxicity effects on agroecosystems, particularly by altering microbial diversity and functionality. …”
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Developing an Urban Landscape Fumigation Service Robot: A Machine-Learned, Gen-AI-Based Design Trade Study by Prithvi Krishna Chittoor, Bhanu Priya Dandumahanti, Prabakaran Veerajagadheswar, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…The design generation process comprises three stages: (1) parameter fixation, emphasizing functionality-based and aesthetic-based specifications; (2) design specification generation using the proposed MMF-VAE model with and without a spraying robot dataset; and (3) robot development based on the generated specifications. …”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

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AI-based Personalization of Social Media Thumbnails Using the Stacked ID Embedding Method by Meivi Kartikasari, Hashfi Andira Putra, Mukhlis Amien

“…In tests, it was observed that how relevant and good the generated thumbnails were very much a function of how specific the input image was and how clear the prompt was. …”
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MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions by Wenhan Huang, Xiangfeng Zhang, Hong Jiang, Zhenfa Shao, Yu Bai

“…Finally, the objective function is reconstructed by independent classification loss to improve the ability of model data generation. …”
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Bank data protection and fraud identification based on improved adaptive federated learning and WGAN by Yunjiao Zheng

“…Then, a fraud recognition model is designed based on generative adversarial networks. The experiment outcomes show that the adaptive data protection architecture designed in this study notably raises the convergence performance of the loss function after introducing adaptive gradient pruning and noise differentiation strategies, with a minimum loss value of 0.09 and excellent learning ability. …”
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