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Analysis and Classification of Word Co-Occurrence Networks From Alzheimer’s Patients and Controls

Tristan Millington, Saturnino Luz • Frontiers in Computer Science (2021)

In this paper we construct word co-occurrence networks from transcript data of controls and patients with potential Alzheimer’s disease using the ADReSS challenge dataset of spontaneous speech. We examine measures of the structure of these ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcomp.2021.649508

Studying the causes of humidity fluctuations in food products within industrial environments

Elouanes Khelifi, Amir Saki, Sousso Kelouwani, Usef Faghihi • Applied Food Research (2026)

The production of processed foods and animal nutrition requires precise control over product characteristics to ensure consistent quality. Unexpected fluctuations in key parameters, particularly humidity, can lead to significant financial l...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102698

Soft–Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal

Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis • IEEE Access (2026)

Effective shadow removal is pivotal in enhancing visual image quality in applications such as computer vision and digital photography. During the last decades physics-based and machine learning methodologies have been proposed; however, mos...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3728048

Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions

Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui et al. • IEEE Access (2025)

Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3589938

Vision-Based Trajectory Generation and Kinematic Modeling for Human-like Grasp Reproduction in a Robotic Prosthetic Hand

Renzo Fernández, Néstor Zamora, Victor Coloma, Nino Vega et al. • Technologies (2026)

The use of prosthetic devices can significantly improve the quality of life of individuals with limb amputations. However, existing prosthetic hands face multiple engineering and manufacturing challenges, making them economically inaccessib...

DOAJ Open Access (DOAJ) DOI: 10.3390/technologies14060334

Evaluation of Indoor Thermal Environments Using a Novel Predicted Mean Vote Model Based on Artificial Neural Networks

Xiaosai Duan, Suihuai Yu, Jianjie Chu, Dengkai Chen et al. • Buildings (2022)

The assessment of indoor thermal environments is crucial to achieving thermal comfort and energy efficiency. However, the inaccurate evaluation and strong nonlinear variations of thermal comfort parameters limit engineering designs. Therefo...

DOAJ Open Access (DOAJ) DOI: 10.3390/buildings12111880

Predicting air quality index using artificial neural network: a case study of the Coimbatore region

P. Jagadesh, J. Harshini, D. Arul, Solomon Oyebisi et al. • Discover Civil Engineering (2026)

Abstract This study predicts the Air Quality Index (AQI) in the Coimbatore region using Artificial Neural Networks (ANN) to enhance air quality management and environmental science. The researchers measured six input variables over a two-ye...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44290-026-00423-z

Monthly Evapotranspiration Modeling in the Absence of Climatic Data Using the Soft Computing Methods in West and Northwest of Iran

Saman Maroufpour, Eisa Maroufpoor, Hadi Sanikhani • مهندسی منابع آب (2017)

Evapotranspiration (ET0), a major component of the hydrologic cycle, is important in water resources development and irrigation planning. The ET0 for west and northwest of Iran was estimated using the FAO Penman-Montieth method (FAO-56) as ...

DOAJ Open Access (DOAJ)

Application of Artificial Neural Networks for Corrosion Behavior of Ni–Zn Electrophosphate Coating on Galvanized Steel and Gene Expression Programming Models

Malihe Zeraati, Hossein Abbasi, Parvin Ghaffarzadeh, Narendra Pal Singh Chauhan et al. • Frontiers in Materials (2022)

Zn–Ni electrophosphate coating is one of the most commonly used materials in industrial applications. The corrosion resistance of this coating is very important in order to achieve the minimum corrosion current of the Zn–Ni electrophosphate...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmats.2022.823155

Evaluating the Accuracy of Deep Learning Models and Dental Postgraduate Students in Measuring Working Length on Intraoral Periapical X-rays: An In vitro Study

R. S. Basavanna, Ishaan Adhaulia, N. M. Dhanyakumar, Jyoti Joshi • Contemporary Clinical Dentistry (2025)

Background: The integration of artificial intelligence in dentistry has seen remarkable advancements, especially in diagnostic imaging. This study evaluates and compares the accuracy of deep learning models with that of dental postgraduate ...

DOAJ Open Access (DOAJ) DOI: 10.4103/ccd.ccd_274_24

A Dual-Segmentation Framework for the Automatic Detection and Size Estimation of Shrimp

Malik Muhammad Waqar, Hassan Ali, Heng Zhou, Heba G. Mohamed et al. • Sensors (2025)

In shrimp farming, determining the physical traits of shrimp is vital for assessing their health and growth. One of the critical traits is their size, as it serves as a key indicator of growth rates, biomass, and effective feed management. ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s25185830

Comprehensive framework of machine learning and deep learning architectures with metaheuristic optimization for high-fidelity prediction of nanofluid specific heat capacity

Priya Mathur, Dheeraj Kumar, Farhan Sheth, Hammad Shaikh et al. • Scientific Reports (2025)

Abstract Accurately predicting the specific heat capacity of nanofluids is critical for optimizing their performance in engineering and industrial applications. This study explores twelve machine learning and deep learning models using conv...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-28268-z

Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size

Guangyu Zhu, Xueqi Luo, Tingting Yang, Li Cai et al. • Frontiers in Physiology (2022)

The manual identification and segmentation of intracranial aneurysms (IAs) involved in the 3D reconstruction procedure are labor-intensive and prone to human errors. To meet the demands for routine clinical management and large cohort studi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphys.2022.1084202

CAMELON: A System for Crime Metadata Extraction and Spatiotemporal Visualization From Online News Articles

Siripen Pongpaichet, Boonyapat Sukosit, Chitchaya Duangtanawat, Jiramed Jamjongdamrongkit et al. • IEEE Access (2024)

Crimes result in not only loss to individuals but also hinder national economic growth. While crime rates have been reported to decrease in developed countries, underdeveloped and developing nations still suffer from prevalent crimes, espec...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3363879