Patterns of microbial contamination on Northumberland Strait shores. by Miranda E Corkum, Naaman M Omar, Douglas A Campbell

“…In response we have to date compiled, curated and made accessible 205,772 microbial water quality data records spanning over 80 years from Southeastern New Brunswick and the Northumberland Strait. This dataset derives in large part from Shellfish Surveys completed by Environment and Climate Change Canada, along with data generated by multiple government agencies, Non-Governmental Organizations and citizen science sources. …”
Get full text

Quality management of the industrial enterprises workforce by I. V. Krasnopevtseva, A. Yu. Krasnopevtsev

Get full text

Nanoclay Reinforced Ternary Blends Based on Biodegradable Polymers for Drug Delivery Application by Mohsin Ali, Sadullah Mir, Obaid-Ur-Rahman Abid, Mirza Arfan Yawer, Ihsan Ullah

Get full text

Deep features fusion for user authentication based on human activity by Yris Brice Wandji Piugie, Christophe Charrier, Joël Di Manno, Christophe Rosenberger

“…The authors evaluate the performance of the authentication system in terms of Equal Error Rate on a benchmark University of Californy, Irvine Human Activity Recognition dataset, and they show the efficiency of the approach.…”
Get full text

Forecasting Eruptions at Poorly Known Volcanoes Using Analogs and Multivariate Renewal Processes by Ting Wang, Mark Bebbington, Shane Cronin, Joel Carman

“…We created a statistical tool to identify and test the compatibility of potential analogue volcanoes based on repose‐time characteristics from world‐wide datasets. Selecting analogue volcanoes with compatible behavior for factors being forecast, such as repose time, significantly reduces forecasting uncertainties. …”
Get full text

Towards Quality Assessment for Arbitrary Translational 6DoF Video: Subjective Quality Database and Objective Assessment Metric by Chongchong Jin, Yeyao Chen

“…The experimental results on the established subjective dataset fully demonstrate the effectiveness and superiority of the proposed objective method.…”
Get full text

Seeing Sacred for Centuries: Digitally Modeling Greek Worshipers’ Visualscapes at the Argive Heraion Sanctuary by Susmann Natalie M.

“…This article synthesizes the textual and material record, questioning which of the Argive Heraion’s visual characteristics captivated worshipers’ senses, and if worshipers’ perceptions shifted over time. My complete dataset spans the tenth–second c BCE and considers all other places where group worship happened in the Argive Plain. …”
Get full text

Gestational Medication Use, Birth Conditions, and Early Postnatal Exposures for Childhood Asthma by Yang-Ching Chen, Ching-Hui Tsai, Yungling Lee

Get full text

Deep learning-enhanced detection of road culverts in high-resolution digital elevation models: Improving stream network accuracy in Sweden by William Lidberg

“…This study presents a novel method where a unique dataset of 28,512 culverts was used to develop a deep learning method to map road culverts, enabling the correction of digital elevation models and enhancing the accuracy of topographically derived stream networks. …”
Get full text

A Low Profile Ultrawide Band Monopole Antenna for Wearable Applications by Srinivas Doddipalli, Ashwin Kothari, Paritosh Peshwe

Get full text

Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…Neural networks (NNs) and random forest (RF) classifiers were used to evaluate the proposed approach on a recent urban land cover dataset of nine different classes. Experimental results show that the proposed approach achieved better performance with RF classifier using only 27% of the features. …”
Get full text

EC-PFN: a multiscale woven fusion network for industrial product surface defect detection by Shuangning Liu, Junfeng Li

“…Extensive experiments on a light guide plate defect dataset demonstrate that EC-PFN achieves a detection accuracy (mAP) of 98.9%, a detection speed of 92 FPS, and a computational cost of 14.5 GFLOPs, outperforming mainstream surface defect detection models.…”
Get full text

A speech recognition method with enhanced transformer decoder by Hengbo Hu, Tong Niu, Zhenhua He

“…Experimental results on the Mandarin Aishell-1 dataset demonstrate that when the encoder is a Conformer, the enhanced decoder achieves a 16.1% reduction in character error rate compared to the Transformer decoder. …”
Get full text

Visible and Infrared Image Fusion-Based Image Quality Enhancement with Applications to Space Debris On-Orbit Surveillance by Jiang Tao, Yunfeng Cao, Meng Ding, Zhouyu Zhang

“…The algorithm can settle two significant problems in space debris surveillance, namely, improving the signal-noise ratio in a noise space environment and preserving more detailed information in a dark space environment. A space debris dataset containing registered visible and infrared images has been purposely created and used for algorithm evaluation. …”
Get full text

A Novel DBSCAN Based on Binary Local Sensitive Hashing and Binary-KNN Representation by Qing He, Hai Xia Gu, Qin Wei, Xu Wang

“…The binary data representation method based on k neighborhood is then proposed to map the dataset into the Hamming space for faster cluster expansion. …”
Get full text

IMPACT OF GOVERNANCE AND ECONOMIC FACTORS ON INFORMAL EMPLOYMENT IN WEST AFRICA by Oluwaseun Isiaka Adekoya, Musa Ilias Biala

“…The neo-liberal model is the theoretical framework underlying the study. Using panel dataset collected on 16 West African countries for the period of 2010-2020, the study estimated the fixed and random effects regressions of the model. …”
Get full text

Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“…For DenseNet, we use 121, 169, and 201 layers; meanwhile, we only use the baseline algorithm for EfficientNet. The dataset for research is randomly taken from marine fauna forums on the internet. …”
Get full text

Performance Prediction for Higher Education Students Using Deep Learning by Shuping Li, Taotang Liu

“…The training mode is used to train the system with labeled data from dataset and the testing mode is used for evaluating the system. …”
Get full text

Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

“…Specifically, it aims to identify the factors influencing the pricing of health insurance premiums, vis a vis their impact on different customer segments. Using a dataset from consumer surveys, coupled with multiple Machine Learning models, the study analyzed and predicted features of importance for premiums paid across various age groups, gender, health conditions, policy duration, and the number of members included in the policy. …”
Get full text

The Model of Master’s Degree Program in Product Design Engineering by Vladimir D. Nechaev, Maxim P. Evstigneev, Veronika R. Dushko

Get full text