Predicting biking preferences in Kigali city: A comparative study of traditional statistical models and ensemble machine learning models by Jean Marie Vianney Ntamwiza, Hannibal Bwire

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Deep learning in-depth analysis of crystal graph convolutional neural networks: A new era in materials discovery and its applications by Qureshi Nilam, Bang Jinhong, Doh Jaehyeok

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Prediction Analysis for Business To Business (B2B) Sales of Telecommunication Services using Machine Learning Techniques by Oryza Wisesa, Andi Andriansyah, Osamah Khalaf

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Enhancing IoT Network Security Through Deep Learning-Based Intrusion Detection by MOHAMMED FAWWAZ ALI MOHAMMED FAWWAZ ALI

Subjects: “…machine learning techniques, deep neural networks, IoT security, LLT attack detection, intrusion detection systems…”
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Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Signal Phase and Timing Information at Actuated Traffic Signals by Seifeldeen Eteifa, Amr Shafik, Hoda Eldardiry, Hesham A. Rakha

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An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence by Ramazan Esmeli, Aytac Gokce

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Dynamic flood risk prediction in Houston: a multi-model machine learning approach by Shuchi Mishra, Aproorv Bajpai, Agradeep Mohanta, Biplab Banerjee, Shrishti Rajput, Sudipta Kundu

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Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield by Lakindu Mampitiya, Harindu S. Sumanasekara, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake

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Forecasting pandemic-induced changes in real estate market values through machine learning approaches by Adile Gülsüm Ulucan, Aslı Bozdağ, Murat Karakoyun, Tansu Alkan

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New Framework for Human Activity Recognition for Wearable Gait Rehabilitation Systems by A. Moawad, Mohamed A. El-Khoreby, Shereen I. Fawaz, Hanady H. Issa, Mohammed I. Awad, A. Abdellatif

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Comparative Analysis of Machine Learning Techniques for Fault Diagnosis of Rolling Element Bearing with Wear Defects by Devendra Sahu, Ritesh Kumar Dewangan, Surendra Pal Singh Matharu

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A Multi-Model Approach to Pollen Season Estimations: Case Study for <i>Olea</i> and <i>Quercus</i> in Thessaloniki, Greece by Sofia Papadogiannaki, Kostas Karatzas, Serafim Kontos, Anastasia Poupkou, Dimitrios Melas

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Optimized Machine Learning Models for Enhanced Stock Market Predictions: A Case Study on the SSE Index by Vahid Babazadeh, Ahmad Faramarzi, Ali Rahnamaei

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An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques by Hazrat Bilal, Yibin Tian, Ahmad Ali, Yar Muhammad, Abid Yahya, Basem Abu Izneid, Inam Ullah

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Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges by Flaviu-Ioan Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

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Data-driven models for significant wave height forecasting: Comparative analysis of machine learning techniques by Ahmet Durap

Subjects: “…Comparative machine learning techniques…”
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Comparative Analysis of Offshore Wind Resources and Optimal Wind Speed Distribution Models in China and Europe by Yanan Chen, Ming Zhao, Zhengxian Liu, Jianlong Ma, Lei Yang

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Automated Extraction of Geographic Locations from Natural Language Text: Implications for Process Control and Mechanism by Ashutosh Das, B. Sahithi, Pallavi Choudhury, Neelamadhab Padhy

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Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation by Sara Asadi, Patricia Jimeno-Sáez, Adrián López-Ballesteros, Javier Senent-Aparicio

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