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IĞDIR ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ

Ana Dal Mühendislik Temel Alanı
Yan Dal Bilgisayar Bilimleri ve Mühendisliği

Kayıtlı çıktılara kısa bakış — ayrıntılar aşağıda.

Makale 53
Proje 0
Kitap 2
Bildiri 18
Patent 0
Sanatsal 0

Scopus (SJR) Q1 36 Q2 7 Q3 2 Q4 0

WoS (JCR) Q1 19 Q2 18 Q3 3 Q4 1

TR Index 9 makale

Alan+yıl+tür normalize OpenAlex yüzdelik — Clarivate ESI / SciVal değildir.

Üst %1 makale 0

Üst %10 makale 0

Ort. yüzdelik 88.3%

Üst %1 payı 0.0%

Üst %10 payı 0.0%

Makaleler

YÖKSİS ve OpenAlex kaynak ayrımıyla makaleler; quartile ve TR Index ile daraltabilirsiniz.

Makale listesi

18 / 53 makale

2026 Towards accurate and interpretable brain tumor diagnosis: T-FSPANNet with Tri-Attribute and pyramidal attention-based feature fusion Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2025.108852 YÖKSİS SJR Q1 JCR Q2
2026 Impact of magnification on deep learning approaches through comprehensive comparative study of histopathological breast cancer classification Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2025.108973 YÖKSİS SJR Q1 JCR Q2
2025 A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases Neuroscience DOI 10.1016/j.neuroscience.2025.01.020 YÖKSİS SJR Q2 JCR Q2
2025 InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2025.108116 YÖKSİS SJR Q1 JCR Q2
2025 Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection IEEE Access DOI 10.1109/ACCESS.2025.3539122 YÖKSİS SJR Q1 JCR Q2
2025 A novel CNN-ViT-based deep learning model for early skin cancer diagnosis Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2025.107627 YÖKSİS SJR Q1 JCR Q2
2025 Deep learning for cerebral vascular occlusion segmentation: A novel ConvNeXtV2 and GRN-integrated U-Net framework for diffusion-weighted imaging Neuroscience DOI 10.1016/j.neuroscience.2025.04.010 YÖKSİS SJR Q2 JCR Q2
2025 Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identification Neural Computing and Applications DOI 10.1007/s00521-024-10769-z YÖKSİS SJR Q1 JCR Q2
2024 Real-time sign language recognition based on YOLO algorithm Neural Computing and Applications DOI 10.1007/s00521-024-09503-6 YÖKSİS SJR Q1 JCR Q2
2024 Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review Neural Computing and Applications DOI 10.1007/s00521-023-09375-2 YÖKSİS SJR Q1 JCR Q2
2024 Enhancing Skin Cancer Diagnosis Using Swin Transformer with Hybrid Shifted Window-Based Multi-head Self-attention and SwiGLU-Based MLP Journal of Imaging Informatics in Medicine DOI 10.1007/s10278-024-01140-8 YÖKSİS SJR Q1 JCR Q2
2024 Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review IEEE Access DOI 10.1109/ACCESS.2024.3406018 YÖKSİS SJR Q1 JCR Q2
2024 A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System Journal of Imaging Informatics in Medicine DOI 10.1007/s10278-024-01086-x YÖKSİS SJR Q1 JCR Q2
2024 A robust deep learning model for the classification of dental implant brands Journal of Stomatology, Oral and Maxillofacial Surgery DOI 10.1016/j.jormas.2024.101818 YÖKSİS SJR Q1 JCR Q2
2024 Advancements in deep learning for accurate classification of grape leaves and diagnosis of grape diseases Journal of Plant Diseases and Protection DOI 10.1007/s41348-024-00896-z YÖKSİS SJR Q1 JCR Q2
2024 Few-shot classification of ultrasound breast cancer images using meta-learning algorithms Neural Computing and Applications DOI 10.1007/s00521-024-09767-y YÖKSİS SJR Q1 JCR Q2
2023 Deep learning-based approaches for robust classification of cervical cancer Neural Computing and Applications DOI 10.1007/s00521-023-08757-w YÖKSİS SJR Q1 JCR Q2
2023 Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection Applied Intelligence DOI 10.1007/s10489-022-04299-1 YÖKSİS SJR Q2 JCR Q2

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