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Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Editorial
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-25-1062
Published Online: February 14, 2025
Topics: User interfaces
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Journal Articles
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δ   c  h  a  s  e  r     ’s view and trajectory followed. The top part show...
Published Online: February 6, 2025
Fig. 6 δ c h a s e r ’s view and trajectory followed. The top part shows the FOV view, and the bottom part shows the trajectory of δ c h a s e r and δ i n t r u d e r . The X - and Y -axis represent distance in meters. More about this image found in δ c h a s e r ’s view and trajectory followed. The top part show...
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Reward spread along with its sub-components for long endurance test during ...
Published Online: February 6, 2025
Fig. 7 Reward spread along with its sub-components for long endurance test during evaluation and average mean trajectory and distance errors when the episode ran continuously for 4 h in Gazebo More about this image found in Reward spread along with its sub-components for long endurance test during ...
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Comparison of the learned policy versus the PID controller during evaluatio...
Published Online: February 6, 2025
Fig. 10 Comparison of the learned policy versus the PID controller during evaluation for variable trajectories. The graph shows the total reward accumulated over time, highlighting the effectiveness of the RL-based policy in maintaining the intruder within the FOV and adapting to sudden changes in... More about this image found in Comparison of the learned policy versus the PID controller during evaluatio...
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Comparison of learned policy versus PID controller during evaluation based ...
Published Online: February 6, 2025
Fig. 11 Comparison of learned policy versus PID controller during evaluation based on TTT. When the δ i n t r u d e r is detected in FOV, the instance is recorded and shown in the graph. More about this image found in Comparison of learned policy versus PID controller during evaluation based ...
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The MODAL-DRN-D-BL-38 framework. Each rectangular block represents a Conv-B...
Published Online: February 6, 2025
Fig. 1 The MODAL-DRN-D-BL-38 framework. Each rectangular block represents a Conv-BN-ReLU group, except for the 11 × 11 Conv 10, which is specified by its filter size and channel count (BN (batch normalization) and ReLU (rectified linear unit)). The network is organized into layers in such ... More about this image found in The MODAL-DRN-D-BL-38 framework. Each rectangular block represents a Conv-B...
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