Layers upon layers: data sharing & reuse challenges in archaeological contexts by Michael Olsson, Olle Sköld, Lisa Andersson

Get full text

Collaborative Modeling of BPMN and HCPN: Formal Mapping and Iterative Evolution of Process Models for Scenario Changes by Zhaoqi Zhang, Feng Ni, Jiang Liu, Niannian Chen, Xingjun Zhou

Get full text

Projecting Forest Fire Probability in South Korea Under Climate Change, Population, and Forest Management Scenarios Using AI & Process-Based Hybrid Model (FLAM-Net) by Hyun-Woo Jo, Myoungsoo Won, Florian Kraxner, Seong Woo Jeon, Yowhan Son, Andrey Krasovskiy, Woo-Kyun Lee

Get full text

Co-creation and application of a framework for the de-prioritization of urban communities during insecticide-treated bed net mass campaigns for malaria prevention and control in Kw... by Ifeoma D. Ozodiegwu, Laurette Mhlanga, Eniola A. Bamgboye, Adeniyi F. Fagbamigbe, Cyril Ademu, Chukwu Okoronkwo, Joshua O. Akinyemi, Akintayo O. Ogunwale, IkeOluwapo O. Ajayi, Beatriz Galatas

“…Long-lasting insecticidal nets (LLINs) are one of the effective interventions for malaria control and prevention. …”
Get full text

Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Star... by Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong

“…Results First, domain‐specific foundation models failed to outperform ImageNet counterparts in six out of eight experiments on informative sample selection. …”
Get full text

Data Cultures: a scoping literature review by Gillian Oliver, Jocelyn Cranefield, Spencer Lilley, Matthew Lewellen

Get full text

A flare removal network for night vision perception: Resistant to the interference of complex light by Yan Liu, Guan Huang, Wenting Qi, Yujie Li

“…The existing flare removal methods have poor robustness when confronted with flare interference caused by complex nighttime lighting, which has to preserve natural light source information. A simulated dataset for the removal of night flares is created to solve the problem of collecting complete paired training data, and night flare removal network (NFR‐Net) is proposed to remove the interference caused by various light disturbances at night. …”
Get full text

The detection of distributional discrepancy for language GANs by Xingyuan Chen, Peng Jin, Ping Cai, Hongjun Wang, Xinyu Dai, Jiajun Chen

Get full text

Semantic Segmentation of Aerial Laser Point Clouds Based on Deep-Residual Enhanced Coding of Multi-Feature Information by Xin Luo, Peng Lin, Xiaoxi Li, Zuqi Wei, Hai Li

“…However, most of the existing deep learning networks do not make full use of point cloud data information. PointNet++ was chosen as the baseline network, and a deep-residual enhanced encoding method of multi-feature information is proposed in this work. …”
Get full text

A lightweight network for traffic sign detection via multiple scale context awareness and semantic information guidance by Chenjie Du, Siyu Su, Chenwei Lin, Yingbiao Yao, Ran Jin, Xinhua Hong

“…In this paper, we propose MASG-Net, a lightweight detection network designed to improve the accuracy and efficiency of traffic sign detection. …”
Get full text

Improving unsupervised pedestrian re‐identification with enhanced feature representation and robust clustering by Jiang Luo, Lingjun Liu

Get full text

Spiking neural network tactile classification method with faster and more accurate membrane potential representation by Jing Yang, Zukun Yu, Xiaoyang Ji, Zhidong Su, Shaobo Li, Yang Cao

Get full text

Research on herd sheep facial recognition based on multi-dimensional feature information fusion technology in complex environment by Fu Zhang, Fu Zhang, Xiaopeng Zhao, Shunqing Wang, Yubo Qiu, Sanling Fu, Yakun Zhang

Get full text

Book review: Adami, Christoph. The evolution of biological information. How evolution creates complexity, from viruses to brains by Tom Wilson

Get full text

Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images by Xibing Zuo, Fei Jin, Lei Ding, Shuxiang Wang, Yuzhun Lin, Bing Liu, Yao Ding

“…However, there is still a challenge in improving SCD performance, specifically in designing a fine-grained network structure that can handle the two subtasks of change region localization and semantic information recognition in parallel. In this context, a novel multitask Siamese network, termed EGMS-Net, is proposed to boost the performance of SCD, which consists of three core components. …”
Get full text

Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking by Tommy Sugiarto, Yi-Jia Lin, Hsiao-Liang Tsai, Chi-Tien Sun, Wei-Chun Hsu

“…Established models, such as ResNet50 and Inception, performed better when trained with pretrained ImageNet weights and subject-specific features, underscoring the value of pretrained knowledge and subject-specific information for improving accuracy. …”
Get full text

Real-time greenhouse gas emission intensity informed demand-side load regulation for power grid decarbonization by Honglin Li, Gulai Shen, Soroush Senemmar, Ali Mehmani, Jie Zhang

Get full text

BAYESIAN PARAMETER ESTIMATION OF WEIBULL DISTRIBUTION WITH MULTIPLE CHANGE POINTS FOR RANDOM CENSORING TEST MODEL WITH INCOMPLETE INFORMATION by HE ChaoBing

Get full text

Current Awareness Services and Information Dissemination in Universities -Western Uganda: A Case study of Ankole Western University. by Kanyamuhanga, Benjamin

Get full text

Home Along the Railway: Understanding the Migration and Settlement of Informal Settler Families Living Along Railway Lines in the Philippines by Inero Ancho, Gabrielle Louis David, Ferlynn Recto, Sue Liza Saguiguit, Daisy Pelegrina

Get full text