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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 Aref 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. - Muhammad Nazam Maqbool, Rana Muhammad Saleem, Nadeem Sarwar, Muhammad Ibrahim, Muhammad Shadab Alam Hashmi:
A Sentence-Level Encoder-Decoder Architecture for Designing an Administrative Roman Urdu Chatbot. - Carmen Goncalves de Macedo e Silva, José Roberto Araújo de Fontoura, Alarcon Matos de Oliveira, Thais de Souza Neri, Roberto Luiz Souza Monteiro, Thiago Barros Murari, Alexandre do Nascimento Silva, Leandro Brito Santos, Marcos Batista Figueredo:
Predictive Modeling of River Water Temperatures in Catu River: A Neural Network-Based Approach. - Katsamapol Petchpol, Laor Boongasame:
Enhancing Predictive Capabilities for Identifying At-Risk Stocks Using Multivariate Time-Series Classification: A Case Study of the Thai Stock Market. - Shreemat Kumar Dash, Kante Satyanarayana, Santi Kumari Behera, Sudarson Jena, Ashoka Kumar Ratha, Prabira Kumar Sethy, Aziz Nanthaamornphong:
Ocular Disease Detection Using Fundus Images: A Hybrid Approach of Grad-CAM and Multiscale Retinex Preprocessing With VGG16 Deep Features and Fine KNN Classification. - Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As'ari, Vikrant Bhateja, Lila Iznita Izhar:
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis. - Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Van Nam Nguyen:
Optimizing Constrained Engineering Optimization Problems Using Improved Mountain Gazelle Optimizer. - V. Lakshmi Chetana, Hari Seetha:
A Deep Learning Framework for Enhancing Recommender Systems With Dual-Feedback Integration. - El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Idriss Benatiya Andaloussi, Mohamed Hedi Bedoui, Ali Ahaitouf:
Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images. - Asmaa Mohamed El-Saieed:
An Adaptive Transformer Model for Long-Term Time-Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation. - David Attipoe, Donatien Koulla Moulla, Ernest Mnkandla, Alain Abran:
Predicting Residential Energy Consumption in South Africa Using Ensemble Models.
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last updated on 2025-05-24 00:43 CEST by the dblp team
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