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ORCIDApplied Computational Intelligence and Soft Computing, Volume 2025
Volume 2025, Number 1, 2025
- Huma Israr
, Safdar Abbas Khan, Muhammad Ali Tahir, Muhammad Khuram Shahzad, Muneer Ahmad, Jasni Mohamad Zain:
Knowledge-Grounded Attention-Based Neural Machine Translation Model. - Muhammad Salman Ali, Arslan Akram, Javed Rashid, Muhammad Arfan Jaffar, Dilawar Shah, Shujaat Ali, Muhammad Tahir:
Fake Fingerprint Classification Using Hybrid Features Learning With Gradient Boosting. - Ishrat Zahan Tani, Michael Kah Ong Goh, Md Nazmul Islam, Md. Tarek Aziz, S. M. Hasan Mahmud, Dip Nandi:
Addressing Label Noise in Colorectal Cancer Classification Using Cross-Entropy Loss and pLOF Methods With Stacking-Ensemble Technique. - Muhammad Chaidir, Taufik Fuadi Abidin, Hizir Sofyan, Kahlil Muchtar:
Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation. - Edmund Fosu Agyemang, Joseph Agyapong Mensah, Eric Nyarko, Dennis Arku, Benedict Mbeah-Baiden, Enock Opoku, Ezekiel Nii Noye Nortey:
Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint. - Hicham Boussatta, Marouane Chihab, Mohamed Chiny, Younes Chihab:
Predicting Oil Price Trends During Conflict With Hybrid Machine Learning Techniques. - Dhekre Saber Saleh, Mohd Shahizan Othman, Wshyar Omar Khudhur, Eman Attallah Aljabarti:
Effective Techniques for Handling Missing Values in Thyroid Disease Diagnosis: A Comparative Analysis. - Kanokwan Waeodi, Laor Boongasame, Karanrat Thammarak:
Thai Morning Glory Price Forecasting Using Deep Learning. - Mohammad Subhi Al-Batah, Mohammad Ryiad Al-Eiadeh, Yazan Alnsour:
A Novel Approach for Enhancing Plant Leaf Classification With the Binary Cuckoo Search Algorithm. - Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani:
Fusion of Deep and Time-Frequency Local Features for Melanoma Skin Cancer Detection. - Assefa Senbato Genale, Tsion Ayalew Dessalegn:
Developing a Predictive Model for Stroke Disease Detection Using a Scalable Machine Learning Approach. - Odai Mohammad Al-Jbour, Mohammad Alshraideh, Bahaaldeen Alshraideh:
Precision Healthcare for UTIs: Leveraging Machine Learning to Reduce Readmissions. - Reza Sheikh, Soheila Senfi:
Evaluation of Sustainable Performance of Industry 4.0 Technologies Using a Novel Fuzzy OPLO-POCOD Method. - Manmahendra Singh Daksh, Puneet Mishra:
A Feedback-Assisted Inverse Neural Network Controller for Cart-Mounted Inverted Pendulum. - Stephen Afrifa, Tao Zhang, Peter Appiahene, Xin Zhao, Varadarajan Vijayakumar, Thomas Atta-Darkwah, Yanzhang Geng, Daniel Adu-Gyamfi, Rose-Mary Owusuaa Mensah Gyening:
Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks. - Eman S. Alshahrani, Mehmet S. Aksoy, Ahmed Emam:
Detection of Hate Speech and Offensive Language in Arabic Text: A Systematic Literature Review. - Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar:
Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches. - Yuanhao Wang, Weiwei Bai, Wenjun Zhang:
Cooperative Optimization Hunting Control of Multi-MSV Based on Reinforcement Learning. - Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, Akua Osei-Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N. N. Nortey:
Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective. - Usama Jabbar, Muhammad Waseem Iqbal, Abdullah Alourani, Khlood Shinan, Fatmah Alanazi, Nadeem Sarwar, M. Usman Ashraf:
Machine Learning-Based Approach for Early Screening of Autism Spectrum Disorders.
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