Utilizing Latent Diffusion Model to Accelerate Sampling Speed and Enhance Text Generation Quality by Chenyang Li, Long Zhang, Qiusheng Zheng

“…This paper introduces LaDiffuSeq, a latent diffusion-based text generation model incorporating an encoder–decoder structure. …”
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Deep learning-powered malware detection in cyberspace: a contemporary review by Ananya Redhu, Prince Choudhary, Kathiravan Srinivasan, Tapan Kumar Das

“…In the review, various deep learning models such as Recurrent Neural Networks, Deep Autoencoders, LSTM, Deep Neural Networks, Deep Belief Networks, Deep Convolutional Neural Networks, Deep Generative Models, Deep Boltzmann Machines, Deep Reinforcement Learning, Extreme Learning Machine, and others are thoroughly evaluated. …”
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A Technique for Mitigating Thermal Stress and Extending Life Cycle of Power Electronic Converters Used for Wind Turbines by Canras Batunlu, Alhussein Albarbar

“…This work critically investigates this issue and attempts to offer a mitigating technique by, first, developing realistic full scale (FS) and partial scale (PS) induction generator models combined with two level back-to-back PECs. …”
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Affective feature knowledge interaction for empathetic conversation generation by Ensi Chen, Huan Zhao, Bo Li, Xupeng Zha, Haoqian Wang, Song Wang

“…However, some empathetic dialogue generation models only specialise in commonsense and neglect emotion, which can only get a one-sided understanding of the user's situation and makes the model unable to express emotion better. …”
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Tuning of Two Sub-Mounts in Mass-Block Integrated Mount Module over Self-Excitation and Basement Input by Changwon Kim, Chan-Jung Kim

“…The extended 3-degrees-of-freedom (3-d.o.f.) electric power generator model was applied to determine the best selection of the mechanical properties for the MIMM over the various mechanical parameter settings (ranging between 10 and 1000% of the original parameters) of the two sub-mounts. …”
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A High-Precision Two-Stage Legal Judgment Summarization by Yue Huang, Lijuan Sun, Chong Han, Jian Guo

“…In addition, we extracted keywords related to technical terms and specific topics in the legal texts and introduced them into the summary-generation model as an attention mechanism. The experimental results on the CAIL2020 and the LCRD datasets showed that our model achieved an overall 0.19–0.41 improvement in its ROUGE score, as compared to the baseline models. …”
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Modelling and control strategy of a distributed small‐scale low‐temperature geothermal power generation system by Tan Zhili, Zhu Dongjiao, Liu Yong, Yuan Feng

“…Finally, the simulation analysis is carried out, and its results show that the thermal conversion efficiency of Stirling’s engine can reach 38%, the output AC voltage of the power generation system reaches the set value 50Hz, 190V, and the DC bus voltage is constant at 300V, which verified the validity of the proposed power generation model and related control strategies. This system expands the range of available heat sources in geothermal power generation, makes geothermal power generation more flexible in terms of site selection, power generation capacity and control, and provides a new idea for geothermal power generation structure.…”
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SECURITY CONSTRAINED OPTIMAL POWER FLOW BASED ON AN ARTIFICIAL INTELLIGENCE TECHNIQUE by Ayman Almansory, Kassim Al-Anbarri

“…A detailed steady-state generator model is adopted in the present formulation. …”
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Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders by Kupek Emil

“…</p> <p>Results</p> <p>SEM successfully recovered the generated model structure. SEM of real data suggested a significant influence of a latent confounding variable which would have not been detectable by standard logistic regression. …”
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Associating Latent Representations With Cognitive Maps via Hyperspherical Space for Neural Population Spikes by Yicong Huang, Zhu Liang Yu

“…Most existing deep generative models adopt carefully designed constraints to capture meaningful latent representations. …”
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Technical Research of Graph Neural Network for Text-to-SQL Parsing by CAO He-xin, ZHAO Liang, LI Xue-feng

“…The Text-to-SQL task in the field of semantic parsing is of great significance for realizing database-based automatic question and answer.At present, deep learning models, such as sequence generation model Seq2Seq, has achieved significant effects in single-table SQL queries.However, the problem of multi-table SQL queries remains to be solved.Graph neural network can effectively extract the associated information between databases, tables and questions, enrich the semantic information in the parsing process, and improve the accuracy of multi-table SQL queries.This paper proposes an adaptive graph construction method and graph encoding method.Question information is introduced into the existing Text-to-SQL model, and the graph network initialized weights are generated by convolution operation on the splicing word vector of the question sentence and the database.General training can be achieved for different databases of the same type.The IRNet framework and relational expansion are used to design the overall model, and it is verified on the open Text-to-SQL data set&#x02014;&#x02014;Spider.Results show that the technology can effectively improve the matching accuracy of multi-table SQL statement generation, and the algorithm has an important reference value for the research of graph neural network in the text-to-SQL field.…”
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A self‐distillation object segmentation method via frequency domain knowledge augmentation by Lei Chen, Tieyong Cao, Yunfei Zheng, Zheng Fang

“…Secondly, a pixel‐wise virtual teacher generation model is proposed to drive the transferring of pixel‐wise knowledge to the object segmentation network through self‐distillation learning, so as to improve its generalisation ability. …”
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Non dominated Cuckoo search algorithm optimized controllers to improve the frequency regulation characteristics of wind thermal power system by S. Chaine, M. Tripathy, Divesh Jain

“…The problem deals with optimization of controllers of doubly fed induction generator modeled for frequency regulation in an interconnected two-area wind power integrated thermal power system. …”
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Strong Influence of Responses in Training Dialogue Response Generator by So-Eon Kim, Yeon-Soo Lim, Seong-Bae Park

“…Additionally, the proposed model overwhelms the Commonsense Knowledge-Aware Dialogue generation model (ConKADI), which is a state-of-the-art model.…”
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A review on machine learning approaches in cardiac tissue engineering by Nikhith Kalkunte, Jorge Cisneros, Edward Castillo, Janet Zoldan

“…While acknowledging the challenges associated with integrating ML, such as limited biomedical datasets, computational costs of learning data, and model interpretability and reliability, we examine suggestions for improvement, emphasizing the necessity for more extensive and diverse datasets that incorporate temporal and imaging data, augmented by synthetic generative models. By integrating ML with mathematical models and existing expert knowledge, we foresee a fruitful collaboration that unites innovative data-driven models with biophysics-informed models, effectively closing the gaps within CTE.…”
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Classifying Circumnutation in Pea Plants via Supervised Machine Learning by Qiuran Wang, Tommaso Barbariol, Gian Antonio Susto, Bianca Bonato, Silvia Guerra, Umberto Castiello

“…We compared machine learning classifiers with the aim of generating models that learn to discriminate between circumnutation patterns related to the presence/absence of a support in the environment. …”
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A New Global Bathymetry Model: STO_IEU2020 by Diao Fan, Shanshan Li, Jinkai Feng, Yongqi Sun, Zhenbang Xu, Zhiyong Huang

“…Five evaluation areas located in the Atlantic and Indian Oceans were used to assess the performance of the generated model. The results showed that 79%, 89%, 72%, 92% and 93% of the checkpoints were within the ±100 m range for the five evaluation areas, and with average relative accuracy better than 6%. …”
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Evidence of localised Amazon rainforest dieback in CMIP6 models by I. M. Parry, P. D. L. Ritchie, P. M. Cox

“…Here we examine results from seven sixth-generation models (Phase 6 of the Coupled Model Intercomparison Project, CMIP6), which include interactive vegetation carbon and in some cases interactive forest fires. …”
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Climate projections and the parallel energy availability in the case of Kombolcha town, South Wollo Ethiopia by Birhan Gessese Gobie, Ejigu Alemu Guadie

“…Marksim climate data generator model with all ensemble models and representative concentration pathway (RCP) 8.5 scenario is used. …”
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Advertisement Synthesis Network for Automatic Advertisement Image Synthesis by Qin Wu, Peizi Zhou

“…To solve this problem, this paper proposes a new two-stage automatic advertisement image generation model, called Advertisement Synthesis Network (ASNet), which explores a two-stage generation framework to synthesise consistent-looking product advertisement images. …”
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