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ORCIDInternational Journal of Bioinformatics Research and Applications, Volume 21
Volume 21, Number 1, 2025
- G. Sathish Kumar, G. Uma Maheshwari, C. Selvan
, M. Nagasuresh, D. Rasi, P. Swathypriyadharsini, Sathish Kumar Danasegaran:
Deep learning approach using modified DarkNet-53 for renal cell carcinoma grading. 1-25 - Sanjay Kumar Choubey, Sachin Kumar, Medha Kumari:
HDAC inhibitors and their potential towards cancer treatment. 26-49 - Xiao Wei Lee, Wei Sheng Siew, Siau Hui Mah, Wei Hsum Yap:
Characterising the cardioprotective potential of Sida rhombifolia, Polygonum chinense and Phyla nodiflora aqueous extracts: investigating its effect on foam cell formation. 50-71 - Jinu P. Sainudeen, S. Sathyalakshmi:
Skin cancer classification using ensemble classification model with improved deep joint segmentation. 72-101 - K. Shahina, C. L. Biji, Achuthsankar S. Nair:
A comparative study on the classification of SARS-CoV-2 variants from biosequence images using pre-trained deep learning models. 102-119
Volume 21, Number 2, 2025
- S. M. Shifana Rayesha, W. Aisha Banu, Afzalur Rahman:
Antibiotic genomic resistance prediction using deep learning models. 121-136 - Riddhi Parasnaik, Anvita Agarkar, Raashi Jatakia, Gajanan Nagare:
A novel approach for early detection and grading of diabetic retinopathy by using ensemble model. 137-152 - Varun Gupta:
A novel linear discriminant analysis-based classification of R-peaks in different ECG signal datasets. 153-170 - M. Sushma, J. Mahadeva, Manju Varanchi Venkata Shetty, M. B. Nandaprakash, R. Somashekar:
Computational analysis of alkoxy-azoxybenzene liquid crystals: a comparative investigation with experimental data for bioinformatics applications. 171-184 - Bhavna Singh, Rohit Rastogi, Bhupinder Singh, Harpreet Kaur, Richa Singh, Ratik Dubey, Jagriti, Tanya Tyagi:
Shri-Anna (millets), super food for present epoch: a thoughtful study in diverse dimensions. 185-217
Volume 21, Number 3, 2025
- Hiwot Habtamu, Mesfin Abebe, Sudhir Kumar Mohapatra:
Mobile application-based pulmonary disease prediction using respiratory sound and deep learning. 219-233 - Kunte Noor Fathima, Renukalatha Shivrudraiah:
LeNet-Xception: an advanced deep learning model for early COVID-19 detection from CT scan images. 234-255 - Nuzhat Ahmad Yatoo, I. Sathik Ali:
Fine-tuning predictive models: a comprehensive analysis for accurate diabetes risk stratification. 256-283 - Terefe Abebe Beyene, Satyasis Mishra, Tadesse Hailu Ayane, Davinder Singh Rathee, Bijay Kumar Paikaray:
Optimising multi-user massive MIMO systems through particle filter precoding: a comprehensive performance analysis. 284-309 - Nitesh Kumar Barnawal, Hoo Sang Ko, Sarah Park, H. Felix Lee, Guim Kwon:
Long short-term memory-based model predictive control of blood glucose level for type 1 diabetes mellitus treatment. 310-333
Volume 21, Number 4, 2025
- Mahesha Yoganna:
Analysis of the impact of loss functions in U-Net architecture for segmentation of right ventricle. 335-350 - Satyasis Mishra, Betelhem Zerihun Gudina, Demissie Jobir Gelmecha, Davinder Singh Rathee, Bijay Kumar Paikaray:
Enhancing data rate efficiency in multi-cell massive MIMO systems through pilot resource allocation. 351-376 - Chetan Vikram Andhare, D. R. Ingle:
Improved linear discriminant analysis for feature selection in heart disease prediction. 377-414 - P. S. Anu Rakhi, R. S. Rajesh:
LARSE: level-based associated residual network with squeeze-and-excitation for breast cancer detection and classification. 415-435 - S. Jothimani, K. Premalatha:
Bioinformatics-enabled deep learning for video-based emotion recognition. 436-462
Volume 21, Number 5, 2025
- Keren Evangeline I., J. Glory Precious, C. D. Anand, S. P. Angeline Kirubha:
An optimised InceptionResNetV2 model for breast cancer histopathology image classification. 463-480 - T. Neetha, James Visumathi:
Arrhythmia detection in the ECG signals with the fractional corvus escape algorithm optimised activation ensemble DCNN. 481-505 - Soumen Ghosh, Satish Chander:
ResNet-based deep learning approach for automated ECG arrhythmia recognition system. 506-521 - B. Sathees Kumar:
Deep feature fusion and ensemble learning to create an effective CNN brain tumour classification model. 522-546 - Nusrath Fathima, Pradeep Kumar:
Unmasking polycystic ovarian syndrome: harnessing deep learning in ultrasound imaging analysis. 547-565
Volume 21, Number 6, 2025
- Md. Amzad Hossain, Forsan Amin, Md. Rakibul Islam:
Multi-epitope vaccine design: a promising in silico strategy to combat the threat of emerging viruses like Zwiesel bat banyangvirus. 567-598 - S. Nalini Poornima, S. Geetha:
An improved machine learning based system for depression detection with RFLR model. 599-622 - Amita Mishra, Sunita Soni:
An efficient medical emergency prediction model from unstructured medical transcript using dual attentional Bi-LSTM model. 623-639 - N. S. Swarnakumar, Uma Nageswari Kalaivanan, Elangovan Dilipan:
In vitro and in silico analysis of marine actinobacterial bioactive compounds: inhibitors of cancer. 640-656 - Polani B. Ramesh Babu, A. Kumaravel, Subbiah Suresh Kumar, Prabhu Manickam Natarajan:
Unravelling the functionally enriched HUB gene targets of Alzheimer's disease: a bioinformatics approach. 657-680
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