Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques by Jin Zhang

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Enhanced Prediction of California Bearing Ratio (CBR) Values in Geotechnical Engineering Using Decision Tree Algorithm and Meta-Heuristic Optimizations by Linda Davies, Dominik Jánošík

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Design and Development of Gorilla Optimized Deep Resilient Architecture for Prediction of Agro-Climatic Changes to Increase the Crop–Yield Production by Deepa Devarashetti, S. S. Aravinth

“…In addition, global warming has fueled climatic unpredictability, creating challenges like hurricanes that damage the foundational roots of agricultural production. …”
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Federated Learning for Grading Oil Palm Fruit Ripeness in the Oil Palm Industry by Patchanee Laddawong, Yutthapong Pianroj, Piyanart Chotikawanid, Teerasak Punvichai, Saysunee Jumrat, Atitaya Kham-Ouam, Jirapond Muangprathub

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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

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Fractal Fuzzy-Based Multi-criteria Assessment of Sustainability in Rare Earth Use for Hydrogen Storage by Gang Kou, Serhat Yüksel, Serkan Eti, Hasan Dinçer, Merve Acar

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Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

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Book Recommendation Using Collaborative Filtering Algorithm by Esmael Ahmed, Adane Letta

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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

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Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model by Asadi Srinivasulu, Vanithamani Palanisamy

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An Ensemble Fuzzy-Based Deep Learning Framework for Automatic Detection of Children with ADHD From EEG Signal by Jalil Manafian, Mehdi Fazli, Onur Ilhan, Subhiya Zeynalli, Sukaina Tuama Ghafel

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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

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Technologies To Fully Generate A Synthetic Training Experience by Keith Brawner, Roy Wall

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Population-Based Novelty Searches Can Converge by R. Paul Wiegand

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Integrating POMDP Models with PID Controllers with Application to Counting Doors on a Corridor by Sara Zuiran, Rwaida Alssadi, Jolie Elliott, Phi Duong, Chinedum Ajabor, Alwaleed Alsaleemi, Samuel Boddepalli, Vamshi Gattikoppula, Pavan Manigandla, Marius Silaghi

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Aggregating Procedure for Fuzzy Cognitive Maps by Maikel Leon Espinosa

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Temporal and Causal Relations on Evidence Theory: an Application on Adverse Drug Reactions by Luiz Alberto Pereira Afonso Ribeiro, Ana Cristina Bicharra Garcia, Paulo Sérgio Medeiros dos Santos

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TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights by Andreas Marpaung, David Masterson

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Using machine learning algorithms (supervised) to generate automatically labeled dataset for detecting digital dating abuse from text messages by Tania Roy, Thomas Maranzatto, Zachary Loomas

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Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language by Émerson Philippe Lopes, Larissa Freitas, Gabriel Gomes, Gerônimo Lemos, Luiz Otávio Hammes, Ulisses B. Corrêa

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