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Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management (2025)

The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v4i4.4

Transportation Engineering Instructional Practices

David Hurwitz, Kristen L. Sanford Bernhardt, Rod E. Turochy, Rhonda Kae Young • Transportation Research Record Journal of the Transportation Research Board (2015)

Instructional practices in transportation engineering education are evolving, and only some of these changes have been documented in the literature. This paper provides a systematic review of journal articles and refereed conference papers ...

OPENALEX DOI: https://doi.org/10.3141/2480-06

Quantum Computing in Transportation Engineering: A Survey

Shriyank Somvanshi, Md Monzurul Islam, Sazzad Bin Bashar Polock, Gaurab Chhetri et al. • IEEE Transactions on Intelligent Transportation Systems (2026)

Quantum computing introduces new computational methods that address complex optimization and machine learning challenges in transportation engineering. This literature survey reviews fundamental quantum principles, including qubits, superpo...

OPENALEX Open Access DOI: https://doi.org/10.1109/tits.2026.3662626

Attracting Students to Transportation Engineering

Stephanie S. Ivey, Mihalis Golias, Paul J. Palazolo, Stephen Edwards et al. • Transportation Research Record Journal of the Transportation Research Board (2012)

With a significant fraction of the nation's transportation workforce nearing retirement age, it is essential to attract new talent to transportation fields and to retain that talent. In addition, it is also important to attract a diverse wo...

OPENALEX DOI: https://doi.org/10.3141/2320-11

Transportation Engineering Careers

Stephanie S. Ivey, Mihalis Golias, Paul J. Palazolo, Kelsey Ford et al. • Transportation Research Record Journal of the Transportation Research Board (2014)

Critical to building an American workforce with 21st century skills is the recruitment and graduation of students in science, technology, engineering, and mathematics fields. However, a nationwide lack of student interest and preparation in...

OPENALEX DOI: https://doi.org/10.3141/2414-06

Transportation Engineering

Mohammad Heidarzadeh, Theodosios K. Papathanasiou, Yurui Fan, Hamid Bahai • Oxford University Press eBooks (2025)

Abstract Transportation engineering is a multidisciplinary subject within civil engineering involving the planning, design, operation, and maintenance of transportation systems and associated infrastructure such as highways, roads, and rail...

OPENALEX DOI: https://doi.org/10.1093/9780191888656.003.0006

Enhanced Satellite Monitoring of Dryland Vegetation Water Potential Through Multi‐Source Sensor Fusion

J. Du, J. S. Kimball, J. S. Guo, S. A. Kannenberg et al. • Geophysical Research Letters (2024)

Abstract Drylands are critical in regulating global carbon sequestration, but the resiliency of these semi‐arid shrub, grassland and forest systems is under threat from global warming and intensifying water stress. We used synergistic satel...

DOAJ Open Access (DOAJ) DOI: 10.1029/2024GL110385

Searching for galaxy cluster-scale strong lenses from the DESI legacy imaging surveys

Zhejian Zhang, Nan Li, Shude Mao, Hu Zou et al. • Frontiers in Astronomy and Space Sciences (2026)

IntroductionGalaxy cluster-scale strong gravitational lensing systems are rare yet valuable tools for investigating dark matter and dark energy, as well as providing the opportunity to study the distant universe at flux levels and spatial r...

DOAJ Open Access (DOAJ) DOI: 10.3389/fspas.2026.1744079

Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images

Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. This stu...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3571988

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

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

Question Bank in Plant Sciences

Akshay I. Patel (2020)

This book aimed at learning various aspects / disciplines covered under the very broad / plethora of plant sciences facts and figures. The primary objective of this compilation is to help students analyse their knowledge of plants in contex...

OPENALEX DOI: https://doi.org/10.59317/9789390175741

Machine learning in plant science and plant breeding

Aalt D. J. van Dijk, Gert Kootstra, Willem Kruijer, Dick de Ridder • iScience (2020)

Technological developments have revolutionized measurements on plant genotypes and phenotypes, leading to routine production of large, complex data sets. This has led to increased efforts to extract meaning from these measurements and to in...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.isci.2020.101890 PMC: 7750553

The effect of observational learning by individual and dyad training on mirror neurons function and learning of movement skills in autism spectrum disorder children

Farahnaz Ayatizadeh Tafti, Mojtaba Dehestani Ardekani, Mahmoud Sheikh • مجله علوم روانشناختی (2023)

Background: Disruptions in the children Autism spectrum’s mirror neurons has been challenged by researchers in psychological and motor behavior science for children with autism spectrum. Methods that based on the mirror neuron system, such ...

DOAJ Open Access (DOAJ)

Effectiveness of social-emotional learning program on psychological distress and dysregulation in students with specific learning disorders

Shahrooz Nemati, Rahim Badri Gargari, Mahsa Rasi, Elaheh Mahmoudi • BMC Psychology (2025)

Abstract This study investigates the effectiveness of a social-emotional skills training program on emotional dysregulation and psychological distress among students with Specific Learning Disorders (SLD). The quasi-experimental design invo...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40359-025-03662-4

Learning to Co-Teach: A Systematic Review

Anna Rytivaara, Raisa Ahtiainen, Iines Palmu, Henri Pesonen et al. • Education Sciences (2024)

Research on how teachers learn to co-teach is scarce. In this systematic review, the PRISMA method was used to examine the relationship between teacher learning and co-teaching in professional development programmes. Inclusion criteria was ...

DOAJ Open Access (DOAJ) DOI: 10.3390/educsci14010113

The Effectiveness of Simultaneous Training of Various Executive Functions (Hot and Cool; Focused on Simultaneous Parent-Child Training) on Improving the Empathy of Children with Attention Deficit Hyperactivity Disorder (ADHD)

Seyyedeh Zahra Seyyed Noori, abbasali hossein khanzadeh, Abbas Abolghasemi, Iraj Shakerinia • Ravānshināsī-i Afrād-i Istis̠nāyī (2025)

The present study aimed to effectiveness of simultaneous training of various executive functions (hot and cool; focused on simultaneous parent-child training) on improving the empathy of children with attention deficit hyperactivity disorde...

DOAJ Open Access (DOAJ) DOI: 10.22054/jpe.2022.64115.2382

Intention-based and sensory-based predictions

Álvaro Darriba, Yi-Fang Hsu, Sandrien Van Ommen, Florian Waszak • Scientific Reports (2021)

Abstract We inhabit a continuously changing world, where the ability to anticipate future states of the environment is critical for adaptation. Anticipation can be achieved by learning about the causal or temporal relationship between senso...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-99445-z

Exploiting the linked teaching and learning international survey and programme for international student assessment data in examining school effects: A case study of Singapore

Xin Liu, Martin Valcke, Kajsa Yang Hansen, Jan De Neve • Frontiers in Education (2022)

This paper attempts to demonstrate the usefulness of the linkage data from two international large-scale assessment studies, Teaching and Learning International Survey 2013 (TALIS) 2013 and Programme for International Student Assessment (PI...

DOAJ Open Access (DOAJ) DOI: 10.3389/feduc.2022.912837