End-to-End 3D Liver CT Image Synthesis from Vasculature Using a Multi-Task Conditional Generative Adversarial Network by Qianmu Xiao, Liang Zhao

“…However, the existing generator models have poor stability and lack the guidance of prior medical knowledge. …”
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Conceptual Validation of Project Based Learning in Buffer Solution by Peri Oktiarmi, Muhammad Rusdi, Rayandra Asyhar

“…The theoretical steps are identifying data sources, collecting data and analyzing data, while the practical steps are generating model ideas, describing models, validating concepts and practitioners and formulating recommendations for testing models. …”
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Exploring the Potential Use of Sentinel-1 and 2 Satellite Imagery for Monitoring Winter Wheat Growth under Agricultural Drought Conditions in North-Western Poland by Anna Jędrejek, Rafał Pudełko

“…This paper presents analyses of the potential use of Sentinel-1 (S-1) and Sentinel-2 (S-2) imagery to generate models of winter wheat growth under agricultural drought vs. normal conditions identified based on potential yield losses calculated in the Agricultural Drought Monitoring System (ADMS). …”
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استخدام نموذج الأجيال المتداخلة في دراسة أثر التدخل في القطاع المالي على النمو الاقتصادي by حسين علي

“…In this course, this study aimed to stand on the role that the interventional polices may play on the economical growth using real mathematical model that is The Overlapping Generations Model where a study of probable effect of these policies on individual saving level took place. …”
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Time-Use Data Modelling of Domestic, Commercial and Industrial Electricity Demand for the Scottish Islands by Chris Matthew, Catalina Spataru

“…The model can be adapted for other regions and used to analyse the costs and benefits of energy efficiency measures with a supply-side generation model.…”
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Study on energy efficiency improvement strategy of photovoltaic-hybrid energy storage DC microgrid considering green energy saving concepts by Zhang Zhi, Han Yonglu, Zhu Huan, Wu Bo

“…Guided by green energy saving, the research focuses on constructing a hybrid energy storage DC microgrid model, especially the integrated photovoltaic power generation model and the related control strategy and power characteristics. …”
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Architectural alchemy: Leveraging Artificial Intelligence for inspired design – a comprehensive study of creativity, control, and collaboration by Ing. arch. Lenka Petráková, Prof. Ing. arch. Vladimír Šimkovič, PhD.

“…Conversely, Stable Diffusion empowers designers with greater control via features like ControlNet but sacrifices visual clarity due to its smaller generative models. Both platforms share a common flaw: an overemphasis on aesthetics and shape at the expense of functional understanding. …”
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Lightweight Face Generation Method Based on TransEditor and Its Application Specification by LIANG Weiliang, LI Yue, WANG Pengfei

“…Face generation can combine the style of the face and the pose of the head to synthesize fake face images,it is often used for vision tasks such as gender conversion and pose modification.GAN-based face generation methods can greatly improve the quality and editability of face generation.However,these generation methods have complex network structures and large computing resource requirements,and are difficult to directly apply to practical scenarios.To achieve efficient face generation,this paper proposes a lightweight face generation method based on TransEditor,and discusses the corresponding application specifications.At the technical level,firstly,based on the TransEditor face editing network model,we design a lightweight face generation network model with reference to the generator structure of lightweight network model such as StyleGAN2.Secondly,we analyze the loss function of the network model from the aspects of generation loss,confrontation loss,reconstruction loss,etc.,and propose to use the PReLU activation function instead of the Softplus activation function to improve the generation effect of the ge-nerator.Finally,through massive experiments,it is proved that the LPIPS of the proposed lightweight face generation method based on TransEditor only reduces by 0.0042,which greatly reduces the training time and parameter amount of the model,and improves the operation efficiency of the face generation model.At the level of application specifications,it is necessary to improve the existing regulatory measures and standardize the use of the proposed face generation method,so that technological progress can better serve social development.…”
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Enhancing landslide management with hyper-tuned machine learning and deep learning models: Predicting susceptibility and analyzing sensitivity and uncertainty by Mohammed Dahim, Saeed Alqadhi, Javed Mallick

“…The models were hyper-tuned using the grid search technique, and the best hypertuned models were used for predicting LSM. The generated models were validated using receiver operating characteristics (ROC), F1 and F2 scores, gini value, and precision and recall curve. …”
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Unsupervised learning reveals interpretable latent representations for translucency perception. by Chenxi Liao, Masataka Sawayama, Bei Xiao

“…Here, we develop an unsupervised style-based image generation model to identify perceptually relevant dimensions for translucent material appearances from photographs. …”
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Modelos de geração de viagem para pólos geradores de viagens de cargas by Cristiane Duarte Ribeiro de Souza, Suellem Deodoro Silva, Márcio Almeida D´agosto

“…This paper aims to present a profile of freight trip generation models that can be used to subsidize research on such enterprises. …”
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Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome. by Austin Chou, Abel Torres-Espin, Nikos Kyritsis, J Russell Huie, Sarah Khatry, Jeremy Funk, Jennifer Hay, Andrew Lofgreen, Rajiv Shah, Chandler McCann, Lisa U Pascual, Edilberto Amorim, Philip R Weinstein, Geoffrey T Manley, Sanjay S Dhall, Jonathan Z Pan, Jacqueline C Bresnahan, Michael S Beattie, William D Whetstone, Adam R Ferguson, TRACK-SCI Investigators

“…The framework enables clinicians to interpret AutoML-generated models for clinical and biological verifiability and consequently integrate domain expertise during model development. …”
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Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics. by Carlos Gueto-Tettay, Di Tang, Lotta Happonen, Moritz Heusel, Hamed Khakzad, Johan Malmström, Lars Malmström

“…We assessed the generated models' performances using two test sets composed of peptides originating from the multienzyme digestion of samples from various species. …”
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Integrating synthetic accessibility with AI-based generative drug design by Maud Parrot, Hamza Tajmouati, Vinicius Barros Ribeiro da Silva, Brian Ross Atwood, Robin Fourcade, Yann Gaston-Mathé, Nicolas Do Huu, Quentin Perron

“…Abstract Generative models are frequently used for de novo design in drug discovery projects to propose new molecules. …”
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Distantly related Alteromonas bacteriophages share tail fibers exhibiting properties of transient chaperone caps by Rafael Gonzalez-Serrano, Riccardo Rosselli, Juan J. Roda-Garcia, Ana-Belen Martin-Cuadrado, Francisco Rodriguez-Valera, Matthew Dunne

“…While the V22 chaperone is essential for producing active tail fibers, here we demonstrate production of functional A5 tail fibers regardless of chaperone co-expression. AlphaFold-generated models of tail fiber and chaperone pairs from phages A5, V22, and other Alteromonas phages reveal how amino acid insertions within both A5-like proteins results in a knob domain duplication in the tail fiber and a chaperone β-hairpin “tentacle” extension. …”
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Human capital of an enterprise: a model of employee competencies in the digital world by ZHdanov Dmitriy

“…In conclusion, the elements of the generated models were ranked, which is also a novelty of the work. …”
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Use of Neural Topic Models in conjunction with Word Embeddings to extract meaningful topics from short texts by Nassera HABBAT, Houda ANOUN, Larbi HASSOUNI, Hicham NOURI

“…Deep neural networks (DNN) and deep generative models have recently advanced, allowing neural topic models (NTM) to achieve flexibility and efficiency in topic modeling. …”
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A Smart Tourism Recommendation Algorithm Based on Cellular Geospatial Clustering and Multivariate Weighted Collaborative Filtering by Xiao Zhou, Jiangpeng Tian, Jian Peng, Mingzhan Su

“…Aimed at solving the problems, the tourist attraction recommendation model is set up based on a cellular geographic space generating model and a weighted collaborative filtering model. …”
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Data-driven modeling of noise time series with convolutional generative adversarial networks by Adam Wunderlich, Jack Sklar

“…In addition, our battery of tests provides a useful benchmark to aid the development of deep generative models for time series.…”
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Transparent, Low Resource, and Context-Aware Information Retrieval From a Closed Domain Knowledge Base by Shubham Rateria, Sanjay Singh

“…Modern techniques that use a distributed representation of words require a considerable training dataset and computation, thereby presenting financial and operational burdens. Generative models for information search suffer from problems of transparency and hallucination, which can be detrimental, especially for organizations and their stakeholders who rely on these results for critical business operations. …”
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