Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model by Surjeet Dalal, Bijeta Seth, Magdalena Radulescu, Carmen Secara, Claudia Tolea

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Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation by S. Pradeep, Yogesh Kumar Sharma, Chaman Verma, Surjeet Dalal, Cvpr Prasad

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Design of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities by Edeh Michael Onyema, Surjeet Dalal, Carlos Andrés Tavera Romero, Bijeta Seth, Praise Young, Mohd Anas Wajid

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Forecasting students' adaptability in online entrepreneurship education using modified ensemble machine learning model by Amit Malik, Edeh Michael Onyema, Surjeet Dalal, Umesh Kumar Lilhore, Darpan Anand, Ashish Sharma, Sarita Simaiya

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Correction to: Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree by Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Manel Ayadi, Nouf A. Almujally, Amel Ksibi

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Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree by Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Manel Ayadi, Nouf A. Almujally, Amel Ksibi

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Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment by Surjeet Dalal, Poongodi Manoharan, Umesh Kumar Lilhore, Bijeta Seth, Deema Mohammed alsekait, Sarita Simaiya, Mounir Hamdi, Kaamran Raahemifar

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Correction: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment by Surjeet Dalal, Poongodi Manoharan, Lilhore Umesh Kumar, Bijeta Seth, Deema Mohammed alsekait, Sarita Simaiya, Mounir Hamdi, Kaamran Raahemifar

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Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease by Michael Onyema Edeh, Surjeet Dalal, Imed Ben Dhaou, Charles Chuka Agubosim, Chukwudum Collins Umoke, Nneka Ernestina Richard-Nnabu, Neeraj Dahiya

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HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning by Umesh Kumar Lilhore, Poongodi Manoharan, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Surjeet Dalal, Ashish Sharma, Kaamran Raahemifar

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Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan

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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal, Umesh Kumar Lilhore, Poongodi Manoharan, Uma Rani, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Ashish Sharma, Sarita Simaiya, Kaamran Raahemifar

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Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0 by Edeh Michael Onyema, Umesh Kumar Lilhore, Praneet Saurabh, Surjeet Dalal, Arinze Steve Nwaeze, Asogwa Tochukwu Chijindu, Lauritta Chinazaekpere Ndufeiya-Kumasi, Sarita Simaiya

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Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers by Michael Onyema Edeh, Surjeet Dalal, Ibidun Christiana Obagbuwa, B. V. V. Siva Prasad, Shalini Zanzote Ninoria, Mohd Anas Wajid, Ademola Olusola Adesina

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Hybrid model for precise hepatitis-C classification using improved random forest and SVM method by Umesh Kumar Lilhore, Poongodi Manoharan, Jasminder Kaur Sandhu, Sarita Simaiya, Surjeet Dalal, Abdullah M. Baqasah, Majed Alsafyani, Roobaea Alroobaea, Ismail Keshta, Kaamran Raahemifar

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Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model by Umesh Kumar Lilhore, Surjeet Dalal, Neeraj Varshney, Yogesh Kumar Sharma, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Roobaea Alroobaea, Sarita Simaiya, Martin Margala, Prasun Chakrabarti

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