Optimizing Cardiovascular Disease Prediction: A Synergistic Approach of Grey Wolf Levenberg Model and Neural Networks von Fayaz, Sheikh Amir Fayaz, Zaman, Majid, Kaul, Sameer, Bakshi, Waseem Jeelani

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Is Deep Learning on Tabular Data Enough? An Assessment von Fayaz, Sheikh Amir, Zaman, Majid, Kaul, Sameer, Butt, Muheet Ahmed

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How Machine Learning is Redefining Agricultural Sciences: An Approach to Predict Apple Crop Production of Kashmir Province von Fayaz, Sheikh Amir, Kaul, Nishit, Kaul, Sameer, Zaman, Majid, Baskhi, Waseem Jeelani

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Analogical Study of Activation Concept in Neural Networks with Neat- Python Module von Kaul, Nishit, Kaul, Sameer, Zaman, Majid, Bakshi, Waseem Jeelani, Fayaz, Sheikh Amir

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How M5 Model Trees (M5-MT) on Continuous Data Are Used in Rainfall Prediction: An Experimental Evaluation von Fayaz, Sheikh Amir, Zaman, Majid, Kaul, Sameer, Butt, Muheet Ahmed

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An Adaptive Gradient Boosting Model for the Prediction of Rainfall Using ID3 as a Base Estimator von Fayaz, Sheikh Amir, Kaul, Sameer, Zaman, Majid, Butt, Muheet Ahmed

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Is Decision Tree Obsolete in Its Original Form? A Burning Debate von Kaul, Sameer, Fayaz, Sheikh Amir, Zaman, Majid, Butt, Muheet Ahmed

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Tree-Based Approach’s to Mitigate the Heterogeneity Concerns among Different file Systems: A Possible Solution von Fayaz, Sheikh Amir, Zaman, Majid, Hasan, Iqbal, Bakshi, Waseem Jeelani, Kaul, Sameer

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HOW MACHINE LEARNING ALGORITHMS ARE USED IN METEOROLOGICAL DATA CLASSIFICATION: A COMPARATIVE APPROACH BETWEEN DT, LMT, M5-MT, GRADIENT BOOSTING AND GWLM-NARX MODELS von FAYAZ, Sheikh Amir, ZAMAN, Majid, BUTT, Muheet Ahmed, KAUL, Sameer

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Big Data in Academia: A Proposed Framework for Improving Students Performance von Banday, Imran Rashid, Zaman, Majid, Quadri, Syed Mohammad Khurshid, Fayaz, Sheikh Amir, Butt, Muheet Ahmed

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An Adaptive Classification Framework for Handling the Cold Start Problem in Case of News Items von Mir, Azhar Yousf, Zaman, Majid, Quadri, Syed Mohammad Khurshid, Fayaz, Sheikh Amir

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Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity von Hasan, Iqbal, Zaman, Majid, Fayaz, Sheikh Amir, Altaf, Ifra, Butt, Muheet Ahmed, Rizvi, S.A.M

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An Application of Traditional and Ensemble Machine Learning Approaches to Redefine Thyroid Disorder Diagnosis von Mir, Mohd Saleem, Fayaz, Sheikh Amir, Zaman, Majid, Agrawal, Shweta

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To Ameliorate Classification Accuracy using Ensemble Distributed Decision Tree (DDT) Vote Approach: An Empirical discourse of Geographical Data Mining von Fayaz, Sheikh Amir, Zaman, Majid, Butt, Muheet Ahmed

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Analytical Study of Breast Cancer and Treatment Techniques von Kaul, Nishit, Zaman, Majid, Bakshi, Waseem Jeelani, Kaul, Sameer, Bhat, Bharti, Fayaz, Sheikh Amir

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Performance Stagnation of Meteorological Data of Kashmir von Kaul, Sameer, Zaman, Majid, Fayaz, Sheikh Amir, Butt, Muheet Ahmed

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A Super Ensembled and Traditional Models for the Prediction of Rainfall: An Experimental Evaluation of DT Versus DDT Versus RF von Fayaz, Sheikh Amir, Zaman, Majid, Butt, Muheet Ahmed

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Knowledge Discovery in Geographical Sciences—A Systematic Survey of Various Machine Learning Algorithms for Rainfall Prediction von Fayaz, Sheikh Amir, Zaman, Majid, Butt, Muheet Ahmed

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Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python von Fayaz, Sheikh Amir, Zaman, Majid, Butt, Muheet Ahmed

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Color stability of three commercial resin cements after accelerated aging von Ataie, Mojtaba, Fayaz, Amir, Ghasemi, Amir, Sheikh-Al-Eslamian, Seyedeh, Farahani, Shakiba

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