Entropy Similarity-Driven Transformation Reaction Molecular Networking Reveals Transformation Pathways and Potential Risks of Emerging Contaminants in Wastewater: The Example of Sa... by Yuli Qian (8946662)

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Optical Tweezers with Optical Vortex Based on Deep Learning by Zhe Shen (325412)

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Generation of odd numbers. by Amal Ezz-Eldien (20235128)

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Formal analysis for Algorithm 1 and Algorithm 2. by Amal Ezz-Eldien (20235128)

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Generation of prime numbers based on a limit. by Amal Ezz-Eldien (20235128)

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Generation of prime numbers based on a range. by Amal Ezz-Eldien (20235128)

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pone.0311782.t002 - Computational challenges and solutions: Prime number generation for enhanced data security by Amal Ezz-Eldien (20235128)

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pone.0311782.t005 - Computational challenges and solutions: Prime number generation for enhanced data security by Amal Ezz-Eldien (20235128)

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Proposed algorithm performance time with prime number algorithms. by Amal Ezz-Eldien (20235128)

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Execution times (in seconds) of various prime number generation algorithms. by Amal Ezz-Eldien (20235128)

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Prime number methods and their time complexity. by Amal Ezz-Eldien (20235128)

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Comparative analysis of proposed algorithms with state-of-the-art prime algorithms. by Amal Ezz-Eldien (20235128)

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Execution times (in seconds) of the proposed algorithm for generating prime numbers within various ranges. by Amal Ezz-Eldien (20235128)

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An open-pit mine segmentation dataset for deep learning by Lin Gang (18600526)

“…It enables researchers and practitioners in the field of deep learning to have a reliable and accurate dataset at their disposal, facilitating the development of more effective algorithms and applications for understanding and analyzing the characteristics and patterns of open-pit mines, which can have significant implications for mine management, safety monitoring, and resource optimization in the open-pit mining industry.…”

<i>Wolfset: A High-Quality Underwater Acoustic Dataset for Algorithm Development and Analysis</i> by Nuno Pessanha Santos (7381244)

“…This dataset uses a systematic approach to demonstrate the diversity and accuracy needed for effective algorithm development.</p>…”

Fast Signal Region Detection With Application to Whole Genome Association Studies by Wei Zhang (405)

“…In this paper, we propose a fast and effective algorithm coupling with high-dimensional test for simultaneously detecting multiple signal regions, which is distinct from existing methods using scan or knockoff statistics. …”

Prime Number Source Code with Dataset by Ayman Mostafa (19839867)

“…The quest to find more effective algorithms for prime number generation is driven by the increasing demand for secure communication and data storage and the need for efficient algorithms to solve complex mathematical problems. …”

Video 2_Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning.mp4 by Anusha Alexander (22406665)

“…The proposed framework is implemented in a ROS2 Gazebo simulation environment using the TurtleBot3 platform and tested in challenging scenarios to identify the most effective algorithm. Extensive simulation analysis demonstrates that TD3 outperforms the other approaches in terms of success rate, path efficiency, and collision avoidance. …”

Video 3_Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning.mp4 by Anusha Alexander (22406665)

“…The proposed framework is implemented in a ROS2 Gazebo simulation environment using the TurtleBot3 platform and tested in challenging scenarios to identify the most effective algorithm. Extensive simulation analysis demonstrates that TD3 outperforms the other approaches in terms of success rate, path efficiency, and collision avoidance. …”

Overview of generalized weighted averages. by Nobuhito Manome (8882084)

“…In this study, we propose a new generalized upper confidence bound (UCB) algorithm (GWA-UCB1) by extending UCB1, which is a representative algorithm for MAB problems, using generalized weighted averages, and present an effective algorithm for various problem settings. GWA-UCB1 is a two-parameter generalization of the balance between exploration and exploitation in UCB1 and can be implemented with a simple modification of the UCB1 formula. …”