A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

“…In the generative network, we first design a residual convolution module to extract more texture and edge information from underwater images. …”
Get full text

Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

“…The resulting model had the following parameters: two hidden layers, 30 neurons each; neuron activation function – GELU; loss function – MSELoss; learning step – 0.001; optimizer – Adam; L2 regularization at 0.00001; training set of four batches, 16 records each; 9,801 epochs. …”
Get full text

Style-VT: Style Conditioned Chord Generation by Variational Transformer With Chord Substitution by Kyowon Song, Dongyoung Seo, Junsu Na, Heecheol Yang

“…We also introduce a newly defined chord substitution into the objective function, allowing for greater flexibility in generated chord progressions. …”
Get full text

Simulation framework for generating intratumor heterogeneity patterns in a cancer cell population. by Watal M Iwasaki, Hideki Innan

Get full text

Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control by Yinyu Yan, Zhiyuan Fan, Yichao Sun, Wei Wang, Dongmei Yang, Zheng Wei

“…This paper proposes a hybrid multi-vector model predictive control (MPC) to reduce the harmonic content in the output current of a two-level virtual synchronous generator (VSG). Compared to traditional two-vector MPC, the proposed hybrid multi-vector MPC has twelve sets of voltage vectors, meaning that the number of iterative calculations required in each cycle is identical for both control methods. …”
Get full text

Investigating the effect of loss functions on single-image GAN performance by Eyyup YİLDİZ, Mehmet Erkan YUKSEL, Selcuk SEVGEN

“…Loss functions are crucial in training generative adversarial networks (GANs) and shaping the resulting outputs. …”
Get full text

“Armed in-vitro retina”-generating microglial retinal organoids, where are we now? by Yaohong Liu, Yaohong Liu, Lixiong Gao, Wenqian Chen, Wenqian Chen, Yuhan Yan, Yuhan Yan, Zi Ye, Zi Ye, Zi Ye, Zhaohui Li, Zhaohui Li, Zhaohui Li

Get full text

BCDDM: Branch Correction Denoising Diffusion Model for Black Hole Image Generation by Ao Liu, Zelin Zhang, Songbai Chen, Cuihong Wen, Jieci Wang

“…BCDDM offers a novel approach to reducing the computational costs of black hole image generation, providing a faster and more efficient pathway for data set augmentation, parameter estimation, and model fitting.…”
Get full text

Sensorless control of the high-speed switched reluctance generator of the micro power plant by P. G. Kolpakhchyan, D. V. Olkhovatov

“…In the distributed and autonomous generation systems using renewable energy sources, low-power generating units (not more than 100-200 kW) based on microturbines function. …”
Get full text

On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…Within the physical layer security (PLS) paradigm, the secret key generation (SKG) technique exploits the wireless channel’s randomness to generate symmetric secret keys for message encryption/decryption by legitimate communication nodes. …”
Get full text

How do people react to political bias in generative artificial intelligence (AI)? by Uwe Messer

“…Participants who perceived alignment were more likely to grant GAI access to sensitive smartphone functions and to endorse the use in critical domains (e.g., loan approval; social media moderation). …”
Get full text

Generation and transformation of α-oxy carbene intermediates enabled by copper-catalyzed carbonylation by Yang Yuan, Xiao-Feng Wu

“…With the continuous development of carbonylation and the in-depth study of the mechanism, more mechanistic details and variations have been revealed, which provide more possibilities for organic synthesis. …”
Get full text

Chronic Gestational Inflammation: Transfer of Maternal Adaptation over Two Generations of Progeny by R. C. M. Adams, C. Smith

“…Given the significant contribution of noncommunicable diseases—which are characterised by chronic inflammation—to population mortality, the potential for chronic maternal inflammation mediating foetal programming is a growing concern. The extent of generational transfer in terms of immune functionality and leukocyte glucocorticoid sensitivity was investigated over two generations of offspring (F1 and F2) in a model of chronic LPS-induced maternal inflammation in C57/BL/6 mice. …”
Get full text

Identification and characterization of microRNAs in normal equine tissues by Next Generation Sequencing. by Myung-Chul Kim, Seung-Woo Lee, Doug-Young Ryu, Feng-Ji Cui, Jong Bhak, Yongbaek Kim

“…Using Illumina Next Generation Sequencing (NGS) technology, we identified a total of 292 known and 329 novel miRNAs in normal horse tissues including skeletal muscle, colon and liver. …”
Get full text

Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation by Soyoung Kim, Randi Priluck

Get full text

A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data by George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

“…This study introduces a multimodal framework integrating retrieval-augmented generation (RAG) with multimodal large language models (MLLMs) to enhance the accessibility, interpretability, and analysis of Eurobarometer survey data. …”
Get full text

Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems by Badr Al Faiya, Ghareeb Moustafa, Hashim Alnami, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Also, efforts are directed toward harmonizing economic objectives with environmental conservation through accurate modelling of the Economic and Environmental Dispatch (EED) problem. This study adopts a more complex approach by formulating the fuel cost and produced emission objectives as cubic polynomial functions. …”
Get full text

CRYPTO-RESISTANT METHODS AND RANDOM NUMBER GENERATORS IN INTERNET OF THINGS (IOT) DEVICES by Petro Klimushyn, Tetiana Solianyk, Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Vitaliy Svitlychny

“…Research methods: method of structural and functional analysis of RNG and IoT devices, cryptographic methods of information protection, methods of random sequence generation, method of stability analysis of systems, methods of construction of autonomous Boolean networks and Boolean chaos analysis, methods of quality assessment of random sequences. …”
Get full text

Waves of Pixels and Word-generated Algorithms: Drone Poetry as a Collaborative Practice between Machine and Human in Waveform by Richard A. Carter by Katarzyna Ostalska

“…Drone-generated poetry challenges a human-centered (literary) perspective, raising questions about AI’s creativity and code’s generative and aesthetic, and not only functional, potential. …”
Get full text

Boosting electrocatalytic generation of FDCA and H2 from 2,5-furanedimethanol solution by carbonized wood supported Fe-CoP nanoleaves by Yuan Ma, Jiaojiao Miao, Yuanyuan Li, Xuehua Zhou, Lianbing Zhang, Jian Zhang, Guanglei Li, Yong Qin, Jie Gao

“…Abstract Electrocatalytic oxidation of more stable 2,5-furanedimethanol (FDM) for 2,5-furanediformic acid (FDCA) generation with concurrent hydrogen production is attractive but still nascent compared to 5-Hydroxymethyl-2-furaldehyde (HMF). …”
Get full text