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Showing 20 of 423 academic articles

Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior

Sabina-Cristiana Necula • Behavioral Sciences (2023)

In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs13060439

Improved object detection method for autonomous driving based on DETR

Huaqi Zhao, Songnan Zhang, Xiang Peng, Zhengguang Lu et al. • Frontiers in Neurorobotics (2025)

Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detecti...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnbot.2024.1484276

ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing

Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrate...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3715175

IceRegionShip: Optical Remote Sensing Dataset for Ship Detection in Ice-Infested Waters

Peilin Wang, Bingxin Liu, Ying Li, Peng Chen et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

As shipping routes and resource exploration move toward high-latitude oceans, sea ice becomes a major threat to the safety of ship navigation, posing significant challenges to the shipping industry and offshore resource development. Continu...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2023.3335294

Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis With Adaptive Compression and Fire Source Detection

Yanbing Bai, Rui-Yang Ju, Lemeng Zhao, Junjie Hu et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Uncrewed Aerial Vehicles (UAVs) have become increasingly important in disaster emergency response by facilitating aerial video analysis. Due to the limited computational resources available on UAVs, large models cannot be run efficiently fo...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3685660

MFEFNet: An Efficient Network for Infrared Small Target Detection With Multiview Feature Extraction and Multiscale Attention Fusion

Liu Zhang, Zongchen Zhao, Xueying Lv, Xuanyun Zhang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Infrared small target detection (IRSTD) remains a core challenge in remote sensing, mainly due to low signal-to-noise ratios, small target sizes, background interference, and large-scale variations. Although existing methods have achieved p...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3685006

Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring

Jie Fang, Xiaoqian Cao, Dianwei Wang, Shengjun Xu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2020.3047636

The surface temperatures of Earth: steps towards integrated understanding of variability and change

C. J. Merchant, S. Matthiesen, N. A. Rayner, J. J. Remedios et al. • Geoscientific Instrumentation, Methods and Data Systems (2013)

Surface temperature is a key aspect of weather and climate, but the term may refer to different quantities that play interconnected roles and are observed by different means. In a community-based activity in June 2012, the EarthTemp Network...

DOAJ Open Access (DOAJ) DOI: 10.5194/gi-2-305-2013

Multi-gene phylogeny and morphological characters reveal seven new species of Micropsalliota (Agaricales, Agaricaceae) from southern China, with an updated key for the species distributed in China

Tian Gao, Hua Qu, Zai-Wei Ge • Mycology (2024)

Species of Micropsalliota generally grow in the tropics and are characterised by small, slender basidiomes, brown basidiospores, and cheilocystidia that vary in shape with capitate or subcapitate apex, and pigmented pileipellis. Based on mo...

DOAJ Open Access (DOAJ) DOI: 10.1080/21501203.2024.2323206

AI for identifying social norm violation

Yair Neuman, Yochai Cohen • Scientific Reports (2023)

Abstract Identifying social norms and their violation is a challenge facing several projects in computational science. This paper presents a novel approach to identifying social norm violations. We used GPT-3, zero-shot classification, and ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-35350-x

FAM83A as a Potential Biological Marker Is Regulated by miR-206 to Promote Cervical Cancer Progression Through PI3K/AKT/mTOR Pathway

Li Rong, Haiyu Li, Zhaodong Li, Jing Ouyang et al. • Frontiers in Medicine (2020)

Background and Objective: Chemotherapy and radiotherapy are effective treatment options for cervical cancer (CC), but their efficacy is limited by short survival rate of about 5 years particularly for advance stage CC. Bioinformatics analys...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2020.608441

An integrated analysis of multiple datasets reveals novel gene signatures in human granulosa cells

Xhulio Dhori, Silvia Gioiosa, Stefania Gonfloni • Scientific Data (2024)

Abstract Granulosa cells (GCs) play crucial roles in oocyte maturation. Through gap junctions and extracellular vesicles, they mediate the exchange of molecules such as microRNAs and messenger RNAs. Different ovarian cell types exhibit uniq...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41597-024-03715-0

Correcting palindromes in long reads after whole-genome amplification

Sven Warris, Elio Schijlen, Henri van de Geest, Rahulsimham Vegesna et al. • BMC Genomics (2018)

Abstract Background Next-generation sequencing requires sufficient DNA to be available. If limited, whole-genome amplification is applied to generate additional amounts of DNA. Such amplification often results in many chimeric DNA fragments...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12864-018-5164-1

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare • BMC Cancer (2025)

Abstract Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dime...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12885-025-14040-z

Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types

Sipeng Shen, Ruyang Zhang, Yue Jiang, Yi Li et al. • Molecular Cancer (2021)

Abstract N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these ca...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12943-021-01362-2

gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models

Pekka Korhonen, Francis K.C. Hui, Jenni Niku, Sara Taskinen et al. • PeerJ (2025)

Background Over the past decade, joint species distribution models (JSDMs) and model-based ordination have emerged as powerful tools for the analysis of community ecology data. Generalized linear latent variable models (GLLVMs) offer a flex...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj.20338

An artificial neural network-based model for predicting paratransit travel time

George Ukam, Charles Adams, Atinuke Adebanji, Williams Ackaah • Cogent Engineering (2024)

The nature of paratransit services makes for increased uncertainty in trip time, leading to reported unreliability and dissatisfaction by the users. While providing travel information has proved helpful in formal bus services and has been r...

DOAJ Open Access (DOAJ) DOI: 10.1080/23311916.2024.2386383