Archives

  • Vol. 4 No. 1 (2025)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 4, No. 1, 2025) presents innovative studies on heuristic approaches in project scheduling and supervised machine learning techniques for internet traffic classification. The selected articles reflect current advancements in intelligent engineering solutions and practical applications.

  • Vol. 3 No. 4 (2024)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 3, No. 4, 2024) features research focused on intelligent data processing and deep learning applications in industrial environments. The articles present comparative studies of algorithm performance in embedded systems and deep learning-based quality assessment techniques in metal production.

  • Vol. 3 No. 3 (2024)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 3, No. 3, 2024) presents applied research in machine learning, focusing on algorithm performance in real-world domains. Topics include taxi time estimation at major airports, predicting student dropout, and classifying agricultural products using artificial neural networks.

  • Vol. 3 No. 2 (2024)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 3, No. 2, 2024) features applications of artificial intelligence and machine learning for classification tasks across various domains. Topics include facility type recognition, environmental attitude analysis, defect detection in industrial processes, and melanoma diagnosis using dermoscopic images.

  • Vol. 3 No. 1 (2024)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 3, No. 1, 2024) highlights the use of artificial intelligence techniques in healthcare and industrial diagnostics. Articles explore lip-reading for emergency communication, emotion recognition in Turkish text, automated inspection systems in manufacturing, and disease detection in plants and humans using deep learning.

  • Vol. 2 No. 4 (2023)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 2, No. 4, 2023) showcases the integration of artificial intelligence in business and healthcare. Featured studies include deep learning for invoice digitization, machine learning in demand forecasting for logistics, and AI-assisted detection of heart diseases.

  • Vol. 2 No. 3 (2023)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 2, No. 3, 2023) presents multidisciplinary studies ranging from intelligent surgical decision support systems to experimental detection in materials and behavioral analysis using video data. It highlights innovative uses of decision trees, YOLOv3 algorithms, and OpenPose technology in intelligent systems research.

  • Vol. 2 No. 2 (2023)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 2, No. 2, 2023) explores diverse AI applications including medical diagnostics, robotic vision systems, AR-based rehabilitation, and agricultural product classification. The featured studies demonstrate the practical impact of deep learning and intelligent systems across healthcare, manufacturing, and food technology.

  • Vol. 2 No. 1 (2023)

    This issue of Intelligent Methods in Engineering Sciences (Vol. 2, No. 1, 2023) covers a wide range of AI-driven solutions, including heart disease prediction, satellite image processing, solar energy optimization, and traffic diagnostics. The issue also includes a systematic review on real-time emotion recognition using deep learning methods.

  • IMIENS Vol1-1

    Vol. 1 No. 1 (2022)

    This inaugural issue of Intelligent Methods in Engineering Sciences (Vol. 1, No. 1, 2022) brings together multidisciplinary research on intelligent systems. Topics include assistive technologies for the visually impaired, BCI classification, autonomous vehicles, COVID-19 diagnostics from CT scans using transfer learning, and voice recognition-based educational game design.