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A Hybrid Power Plant Based on Renewables and Electrochemical Energy Storage and Generation Systems for Decentralized Electricity Supply of the Northern Territories

A.S. Grigoriev, V.V. Skorlygin, S.A. Grigoriev, D.A. Melnik et al. • International Journal of Electrochemical Science (2018)

The goal of this paper is to present hybrid power plant based on photovoltaic panels, wind turbine and electrochemical energy storage and generation systems for decentralized power supply of the customers located remotely in northern territ...

DOAJ Open Access (DOAJ) DOI: 10.20964/2018.02.54

Research on a Comprehensive Performance Analysis Method for Building-Integrated Photovoltaics Considering Global Climate Change

Ran Wang, Caibo Tang, Yuge Ma, Shilei Lu et al. • Buildings (2025)

Building-integrated photovoltaics (BIPVs) represent a pivotal technology for enhancing the utilization of renewable energy in buildings. However, challenges persist, including the lack of integrated design models, limited analytical dimensi...

DOAJ Open Access (DOAJ) DOI: 10.3390/buildings15244463

Composite-Decorative Tiles with Granite

Octavian POTECAŞU, Florentina POTECAŞU, Elena DRUGESCU • The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science (2006)

The paper presents the results of the authors’ scientific research on a composite material with polymeric matrix, hardened with rock particles. It was studied the influence of the quantity of the hardening phase on the compression resistanc...

DOAJ Open Access (DOAJ)

Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction

Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Ahmed Ali Ahmed, Junchao Ma et al. • Scientific Reports (2025)

Abstract Vehicular Ad-Hoc Networks (VANETs) have facilitated the massive exchange of real-time traffic and weather conditions, which have helped prevent collisions, reduce accidents, and road congestions. This can effectively enhance drivin...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-15011-x

Outdoor access practices in the Canadian dairy industry

Anne-Marieke C. Smid, Vanessa Boone, Melanie Jarbeau, Jason Lombard et al. • Journal of Dairy Science (2023)

ABSTRACT: Dairy cows are highly motivated to access pasture and have a partial preference for alternative forms of outdoor access (e.g., deep-bedded outdoor sand or wood-chip packs). In addition, Canadians value the provision of outdoor acc...

DOAJ Open Access (DOAJ) DOI: 10.3168/jds.2023-23344

Performance Benchmarking: Pre-trained Models and Custom Convolutional Neural Networks in Deep Learning

Sheemona Joseph C., S. Ganesh, S. Kannadhasan, K. Selvipriya • Journal of Informatics and Web Engineering (2025)

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffic signs—a crucial ta...

DOAJ Open Access (DOAJ) DOI: 10.33093/jiwe.2025.4.2.14

Vision-Based Autonomous Landing of a Quadrotor on the Perturbed Deck of an Unmanned Surface Vehicle

Riccardo Polvara, Sanjay Sharma, Jian Wan, Andrew Manning et al. • Drones (2018)

Autonomous landing on the deck of an unmanned surface vehicle (USV) is still a major challenge for unmanned aerial vehicles (UAVs). In this paper, a fiducial marker is located on the platform so as to facilitate the task since it is possibl...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones2020015

OmniVO: Toward Robust Omni Directional Visual Odometry With Multicamera Collaboration for Challenging Conditions

Zeeshan Javed, Gon-Woo Kim • IEEE Access (2022)

With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3204870

MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning researchMendeley Data

Sabit Ahamed Preanto, Tapon Paul, Abid Khan, Md Hasan Imam Bijoy • Data in Brief (2025)

Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2025.112174

Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras

Pedro Teixidó, Juan Antonio Gómez-Galán, Rafael Caballero, Francisco J. Pérez-Grau et al. • Sensors (2021)

Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s21217379

Deep Learning for Spatio-Temporal Data Mining: A Survey

Senzhang Wang, Jiannong Cao, Philip S. Yu • IEEE Transactions on Knowledge and Data Engineering (2020)

With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temp...

OPENALEX Open Access DOI: https://doi.org/10.1109/tkde.2020.3025580

Physics-informed generative neural network: an application to troposphere temperature prediction

Zhihao Chen, Jie Gao, Weikai Wang, Zheng Yan • Environmental Research Letters (2021)

The troposphere is one of the atmospheric layers where most weather phenomena occur. Temperature variations in the troposphere, especially at 500 hPa, a typical level of the middle troposphere, are significant indicators of future weather c...

DOAJ Open Access (DOAJ) DOI: 10.1088/1748-9326/abfde9

Deep Learning Proactive Approach to Blackout Prevention in Smart Grids: An Early Warning System

Abderrazak Khediri, Ayoub Yahiaoui, Mohamed Ridda Laouar, Yacine Belhocine • Acta Informatica Pragensia (2024)

Blackout events in smart grids can have significant impacts on individuals, communities and businesses, as they can disrupt the power supply and cause damage to the grid. In this paper, a new proactive approach to an early warning system fo...

DOAJ Open Access (DOAJ) DOI: 10.18267/j.aip.246

Time-series forecasting with deep learning: a survey

Bryan Y. Lim, Stefan Zohren • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021)

Numerous deep learning architectures have been developed to accommodate the diversity of time-series datasets across different domains. In this article, we survey common encoder and decoder designs used in both one-step-ahead and multi-hori...

OPENALEX Open Access DOI: https://doi.org/10.1098/rsta.2020.0209

A machine learning and clustering-based approach for county-level COVID-19 analysis.

Charles Nicholson, Lex Beattie, Matthew Beattie, Talayeh Razzaghi et al. • PLoS ONE (2022)

COVID-19 is a global pandemic threatening the lives and livelihood of millions of people across the world. Due to its novelty and quick spread, scientists have had difficulty in creating accurate forecasts for this disease. In part, this is...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0267558

Statistical Characteristics of Nighttime Medium‐Scale Traveling Ionospheric Disturbances From 10‐Years of Airglow Observation by the Machine Learning Method

Chang Lai, Jiyao Xu, Zhishuang Lin, Kun Wu et al. • Space Weather (2023)

Abstract For the first time, we used the machine learning method to analyze the statistical occurrence and propagation characteristics of nighttime medium‐scale traveling ionospheric disturbances (MSTIDs) from October 2011 to December 2021 ...

DOAJ Open Access (DOAJ) DOI: 10.1029/2023SW003430

Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction

Alejandro Casallas, Camila Jiménez-Saenz, Victor Torres, Miguel Quirama-Aguilar et al. • Sensors (2022)

Throughout the years, wildfires have negatively impacted ecological systems and urban areas. Hence, reinforcing territorial risk management strategies against wildfires is essential. In this study, we built an early alert system (EAS) with ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22228790