Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …”

Architecture of the EfficientNetB3-based regression model used for cattle weight prediction. by Md Junayed Hossain (22615268)

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Control of Mutual Coupling in Microstrip Antenna Design Based on Bio-inspired Algorithms by Israel Leal (16525460)

Some recent state-of-the-art approaches for cluster optimization. by Sandeep Yerrathi (17775761)

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A Machine Learning-Optimized System for Pulsatile, Photo- and Chemotherapeutic Treatment Using Near-Infrared Responsive MoS₂‑Based Microparticles in a Breast Cancer Mode... by Maria Kanelli (5494031)

Wrapper-based feature selection methods. by Xiaohua Zeng (793632)

The flow of the SP-DRL algorithm. by Jie Fang (306330)

“…Finally, instances are used to analyze the optimization effect of the algorithm. The experimental results show that the proposed algorithm can produce three better and five comparable results compared with some classical heuristic algorithms. …”

Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

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Comparison between the radiocarbon dates (median of the calibrated distribution) and the simulated arrival times using the optimal parameter set. by Jonas Gregorio de Souza (3159063)

Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

“…The optimal order of the analytical continuation algorithm is contingent upon the noise level of gravity data. …”

Comprehensive, Open-Source, and Automated Workflow for Multisite λ‑Dynamics in Lead Optimization by Renling Hu (17888900)

“…To address this challenge, we developed a comprehensive, open-source, and automated workflow for MSLD calculations based on the BLaDE dynamics engine. This workflow incorporates the Ligand Internal and Cartesian coordinate reconstruction-based alignment algorithm (LIC-align) and an optimized maximum common substructure (MCS) search algorithm to accurately generate MSLD multiple topologies with ideal perturbation patterns. …”

Supporting data for "Two Essays on Consumers' Relative Preference for Algorithm-based Versus Human Recommendations" by Xunchang Fang (9070241)

“…<p>Recommendation systems, the information filtering tools that provide options of products or services to customers, are powered by programmed algorithms or human experts. Both algorithm-based and human recommendation systems are widely adopted by companies to help consumers make optimal purchasing decisions amid their access to product information. …”

An overview of PHyPO. by Shehr Bano (20421706)

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S8 Data - by Shehr Bano (20421706)

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S6 Data - by Shehr Bano (20421706)

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Tuning of hyper-parameters in each iteration for AMO. by Shehr Bano (20421706)

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S5 Data - by Shehr Bano (20421706)

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Performance evaluation of different schemes for time-insensitive tasks. by Shehr Bano (20421706)

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S17 Data - by Shehr Bano (20421706)

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S11 Data - by Shehr Bano (20421706)

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