Obtained heat map for regression-based algorithms. حسب Akshansh Mishra (21001499)

الموضوعات:

Results obtained from the supervised machine learning regression-based algorithms in the present work. حسب Akshansh Mishra (21001499)

الموضوعات:

Feature importance plot obtained for regression-based algorithms. حسب Akshansh Mishra (21001499)

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Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. حسب Akshansh Mishra (21001499)

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ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …"

The temperature sensor readings with the original temperature and learning to Kalman filter algorithm prediction results (each plot represent results for 200 data instances). حسب Junaid Khan (4276162)

الموضوعات:

A comprehensive proposed learning to prediction model for neural network based kalman filter and alpha beta filter. حسب Junaid Khan (4276162)

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SPIRAL v2.0.0-alpha: A Self-Personalizing, Feedback-Driven AI Framework for Continual Learning and Local Adaptation حسب Lakshit Mathur (20894549)

Image 2_AI-driven innovation in antibody-drug conjugate design.jpeg حسب Heather A. Noriega (21604514)

"…This review is organized into six sections: (1) the progression from traditional modeling approaches to AI-driven design of individual ADC components; (2) the application of deep learning (DL) to antibody structure prediction and identification of optimal conjugation sites; (3) the use of AI/ML models for forecasting pharmacokinetic properties and toxicity profiles; (4) emerging generative algorithms for antibody sequence diversification and affinity optimization; (5) case studies demonstrating the integration of computational tools with experimental pipelines, including systems that link in silico predictions to high-throughput validation; and (6) persistent challenges, including data sparsity, model interpretability, validation complexity, and regulatory considerations. …"

Image 1_AI-driven innovation in antibody-drug conjugate design.jpeg حسب Heather A. Noriega (21604514)

"…This review is organized into six sections: (1) the progression from traditional modeling approaches to AI-driven design of individual ADC components; (2) the application of deep learning (DL) to antibody structure prediction and identification of optimal conjugation sites; (3) the use of AI/ML models for forecasting pharmacokinetic properties and toxicity profiles; (4) emerging generative algorithms for antibody sequence diversification and affinity optimization; (5) case studies demonstrating the integration of computational tools with experimental pipelines, including systems that link in silico predictions to high-throughput validation; and (6) persistent challenges, including data sparsity, model interpretability, validation complexity, and regulatory considerations. …"

Learning curves for the ML models. حسب Md. Fahim Ul Islam (22470251)

الموضوعات:

Comparison of the error reduction in terms of RMSE and MSE for Kalman filter with learning module. حسب Junaid Khan (4276162)

الموضوعات:

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction حسب Mohamad A. Raja (19640297)

الموضوعات: "…bayesian optimization algorithm…"

Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability حسب Okechukwu Paul-Chima Ugwu (21578037)

Learning to alpha beta filter prediction results with original temperature data and sensor readings. حسب Junaid Khan (4276162)

الموضوعات:

Details prediction results for learning to Kalman filter, each subfigure results for 2000 data instances. حسب Junaid Khan (4276162)

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Kalman filter prediction results with and without the ANN-based learning module in terms of RMSE and MSE. حسب Junaid Khan (4276162)

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Kalman filter prediction results with and without the ANN-based learning module in terms of RMSE and MSE. حسب Junaid Khan (4276162)

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Concept of the Loss function in the case of Supervised Machine Learning and Physics Machine Learning approach. حسب Akshansh Mishra (21001499)

الموضوعات: