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Big data and machine learning for materials science

Jose Fernando Rodrigues Junior, Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond et al. • Discover Materials (2021)

Herein, we review aspects of leading-edge research and innovation in materials science that exploit big data and machine learning (ML), two computer science concepts that combine to yield computational intelligence. ML can accelerate the so...

OPENALEX cc-by DOI: https://doi.org/10.1007/s43939-021-00012-0 PMC: 8054236

Power Load Probabilistic Prediction Based on Multi-Value Quantile Regression and Timing Fusion Ensemble Learning Model

Yuhang Liu, Fei Mei, Jun Zhang, Xiang Dai et al. • Entropy (2026)

The core component to ensure the refined and safe operation of distribution network scheduling is 10 kV bus load probabilistic prediction. However, existing probabilistic prediction methods suffer from insufficient dynamic feature extractio...

DOAJ Open Access (DOAJ) DOI: 10.3390/e28030329

Review of cryptographic application security evaluation techniques for new critical infrastructures

Gaolei LI, Jianhua LI, Zhihong ZHOU, Hao ZHANG • 网络与信息安全学报 (2023)

The construction of new critical infrastructure, represented by high-speed full-time signal coverage, intelligent and fine-grained urban management, and deep space and deep sea scientific innovation experimental fields, has entered a new st...

DOAJ Open Access (DOAJ) DOI: 10.11959/j.issn.2096-109x.2023079

A theory of algorithmic markets

Nagwan Alqershi, Nagwan Alqershi, Ramayah Thurasamy, Ramayah Thurasamy et al. • Frontiers in Complex Systems (2026)

This paper develops a dynamic framework for analyzing markets in which decision-making is increasingly delegated to adaptive algorithms. In contrast to classical approaches that treat equilibrium as the primitive object of analysis, the fra...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcpxs.2026.1819789

Audience and Algorithm: A Causal Layered Analysis of the Future of “Autonomy”

Amir Garousi, Afshin Omidi, moslem shirvani naghani • مطالعات رسانه‌های نوین (2026)

Extended AbstractPurpose and Research ProblemIn the digital age, the relationship between audiences and algorithms has become a defining arena of cultural negotiation and epistemic transformation. This study explores the futures of autonomy...

DOAJ Open Access (DOAJ) DOI: 10.22054/nms.2026.88661.1910

Separate DOD and DOA Estimation for Bistatic MIMO Radar

Lin Li, Fangfang Chen, Jisheng Dai • International Journal of Antennas and Propagation (2016)

A novel MUSIC-type algorithm is derived in this paper for the direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic MIMO radar. Through rearranging the received signal matrix, we illustrate that the DOD and th...

DOAJ Open Access (DOAJ) DOI: 10.1155/2016/9170403

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

Computing with Bees: Attacking Complex Transportation Engineering Problems

Panta Lučić, Dušan Teodorović • International Journal of Artificial Intelligence Tools (2003)

The Bee System (an artificial bee swarm) is introduced in this paper. The proposed approach is applied to the Traveling Salesman Problem. The obtained results are very promising. The potential applications of the developed Bee System in the...

OPENALEX DOI: https://doi.org/10.1142/s0218213003001289

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

Integrating uncertainty propagation in GNSS radio occultation retrieval: from excess phase to atmospheric bending angle profiles

J. Schwarz, J. Schwarz, G. Kirchengast, G. Kirchengast et al. • Atmospheric Measurement Techniques (2018)

Global Navigation Satellite System (GNSS) radio occultation (RO) observations are highly accurate, long-term stable data sets and are globally available as a continuous record from 2001. Essential climate variables for the thermodynamic ...

DOAJ Open Access (DOAJ) DOI: 10.5194/amt-11-2601-2018

On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input

Michele Guagnano, Sara Groppo, Luigi Pugliese, Massimo Violante • Sensors (2025)

In many applications, recognizing the depth of sleep (e.g., light, deep, REM sleep) while the subject is sleeping enables innovative features. For instance, in SAE Level 4 autonomous driving, a driver may need to takeover the vehicle contro...

DOAJ Open Access (DOAJ) DOI: 10.3390/s25072141

Research on 4WS Agricultural Machine Path Tracking Algorithm Based on Fuzzy Control Pure Tracking Model

Chengliang Zhang, Guanlei Gao, Chunzhao Zhao, Lei Li et al. • Machines (2022)

This paper presents a path tracking algorithm based on a fuzzy control pure tracking model for autonomous navigation of 4WS agricultural machines. The aim of this research is to implement path tracking for unmanned 4WS agricultural machiner...

DOAJ Open Access (DOAJ) DOI: 10.3390/machines10070597

An Adaptive JPEG Double Compression Steganographic Scheme Based on Irregular DCT Coefficients Distribution

Ju Jia, Zhaoxia Xiang, Lina Wang, Yan Xu • IEEE Access (2019)

Steganography is to embed secret information into digital media and minimize the distortion caused by data embedding. The JPEG is a widely used image compression format, and many JPEG images transmitted on the network are double compressed....

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2926226

Optimizing runoff prediction in plains river network areas: a hybrid XAJ-BP modelling framework with basin structure division

Xu Cheng, Shiqiang Wu, Jiangyu Dai, Xiufeng Wu et al. • Engineering Applications of Computational Fluid Mechanics (2026)

The plain water network area is characterized by its flat terrain and a dense crisscrossing of rivers. The runoff process in this region is significantly influenced by human activities, resulting in a complex relationship between water stor...

DOAJ Open Access (DOAJ) DOI: 10.1080/19942060.2026.2749141

A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management

Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research (2026)

Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42834-026-00296-y