Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

Get full text

Agent-based multimodal information extraction for nanomaterials by R. Odobesku, K. Romanova, S. Mirzaeva, O. Zagorulko, R. Sim, R. Khakimullin, J. Razlivina, A. Dmitrenko, V. Vinogradov

Get full text

Optimasi Algoritma Support Vector Machine Berbasis PSO Dan Seleksi Fitur Information Gain Pada Analisis Sentimen by Sharazita Dyah Anggita, Ferian Fauzi Abdulloh

Get full text

Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients by Ma Xinli, Zhao Jie, Yan Ming, Zhang Yanping, Li Fan, Jia Jing, Ding Lu

Get full text

Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentation. by David M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, Bruno A N Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V Spirov

Get full text

Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…This field frequently encounters challenges, such as minute surface defects, a large number of model parameters, and high computational complexity. To address these challenges, a self-made SPC defect data set and an enhanced CAAB-YOLOv8n detection algorithm were developed. …”
Get full text

CharTeC-Net: An Efficient and Lightweight Character-Based Convolutional Network for Text Classification by Aboubakar Nasser Samatin Njikam, Huan Zhao

“…This paper introduces an extremely lightweight (with just over around two hundred thousand parameters) and computationally efficient CNN architecture, named CharTeC-Net (Character-based Text Classification Network), for character-based text classification problems. …”
Get full text

Understanding the deformability of 2D van der Waals materials from the perspective of chemical bonds by Haoran Huang, Zhiqiang Gao, Ling Fu, Kunpeng Zhao, Jiawei Zhang, Tian-Ran Wei, Xun Shi

Get full text

Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction by Tanveer Alam Munshi, Khanum Popi, Labiba Nusrat Jahan, M. Farhad Howladar, Mahamudul Hashan

Get full text

Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

Get full text

Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

“…These mechanisms would operate across multiple spatial and temporal scales, necessitating dedicated support at the levels of individual neurons and synapses. A notable feature within the neocortex is the structure of large, deep pyramidal neurons, which exhibit a distinctive separation between an apical dendritic compartment and a basal dendritic/perisomatic compartment. …”
Get full text

Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning by Mohamed Borhanudin Mohd Yusof, Musa Rabiu Muazu, Nazarudin Mohamad Nizam, Abdul Majeed Anwar P. P., Raj Naresh Bhaskar, Razmaan Mohd Azraai Mohd

Get full text

A Message Passing Neural Network Framework with Learnable PageRank for Author Impact Assessment by SONG, G., FU, D., WU, X.

“…NPRNet utilizes Message Passing Neural Networks to efficiently compute and incorporate learnable parameters, thus considering node attributes. …”
Get full text

The Application of Deep Learning in Dance Movement Design by Xiang Ju

Get full text

Information-entropy-driven generation of material-agnostic datasets for machine-learning interatomic potentials by Aparna P. A. Subramanyam, Danny Perez

Get full text

Implementation of a Multimode Optical Source in the VPIphotonics Software by Blaise Tshibangu-Mbuebue, Rodrigo Cuevas-Terrones, Min Won Lee, Alejandro García-Juárez, Ignacio Enrique Zaldívar-Huerta

Get full text

Self‐Supervised Pre‐Training and Few‐Shot Finetuning for Gas‐Bearing Prediction by Long Han, Xinming Wu, Renjie Chen, Yunhua Shi, Zhanxuan Hu, Huijing Fang

“…Based on the geological understanding that different attributes computed from the same sample convey correlated features reflecting geological properties, we pre‐train the network on large‐scale unlabeled data using a self‐supervised learning strategy of attribute masking and recovery. …”
Get full text

MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects by Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Rossella Donghia, Gianluigi Giannelli, Angela Lombardi, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci

Get full text

Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Despite problems such as possible over-reliance on pre-trained features and computational complexity, the modified DenseNet-121 is useful for accurate mushroom classification. …”
Get full text

Alpha-DehazeNet: single image dehazing via RGBA haze modeling and adaptive learning by Jin He, Ruibin Li

“…Image dehazing is a vital research area in computer vision. Many existing deep learning-based dehazing methods rely on atmospheric scattering models with manually predefined, non-trainable parameters, which limits their adaptability and transferability. …”
Get full text